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<h1 style="font-family:Lexend;font-size: 32px;"> <span style="color:dimgray;"><b>  Vision & </b> </span> <span style="color:maroon;"> <b>AI</b></span> <span style="color:dimgray;"> <b>Lab (VAL)</b></span>
<ul>
</h1>
<!--<p class="lead"><a href="http://cds.iisc.ac.in"> Department of Computational and Data Sciences</a>, <a href="http://www.iisc.ac.in/">Indian Institute of Science, Bangalore, INDIA</a></p>-->
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<h1>Publications:</h1>
<ul>
<big>
<li> <a href="#journals">Journals</a></li>
<li> <a href="#conferences">Conferences </a></li>
</big>
</ul>
<br>
<h2 id="journals"> <br><br>Journals </h2>
<p class="lead">
</ul><ul style="text-align: left;">
<li>Yash Sawant, Jogendra Nath Kundu, R. Venkatesh Babu and Devarajan Sridharan, "A Midbrain Inspired Recurrent Neural Network Model for Robust Change Detection", <span style="font-style: italic;"> Journal of Neuroscience </span>, Vol. 42, No. 44, pp. 8262-8283, Nov., 2022. <a href="https://www.jneurosci.org/content/jneuro/42/44/8262.full.pdf">[PDF]</a> </li>
<li>K Ram Prabhakar, Susmit Agarwal and R. Venkatesh Babu, "Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting", in <span style="font-style: italic;"> IEEE Trans. Computational Imaging </span> (TCI), Vol. 7, pp. 1228-1239, 2021. <a href="https://val.cds.iisc.ac.in/HDR/HDRRNN/index.html">[Code]</a> </li>
<li>Deepak Babu Sam, Skand V Peri, Mukundha N., Amogh K., and R. Venkatesh Babu, "Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection", <span style="font-style: italic;"> IEEE Trans. Pattern Analysis and Machine Intelligence </span> (PAMI), Vol. 43, No. 8, pp. 2739-2751, 2021. <a href="https://arxiv.org/abs/1906.07538">[arXiv]</a><a href="https://github.com/val-iisc/lsc-cnn">[Code]</a></li>
<li>Navaneet K.L., Ravikiran S., Shashank S., R. Venkatesh Babu and Anirban C., "Operator-in-the-Loop Deep Sequential Multi-camera Feature Fusion for Person Re-identification", <span style="font-style: italic;"> IEEE Trans. on Information Forensics & Security,</span> (TIFS), Vol. 15, pp. 2375-2385, 2020. <a href="https://arxiv.org/abs/1807.07295">[arXiv]</a></li>
<li>Avishek M., R. Venkatesh Babu, and Anirban C., "PerSeg: Segmenting Salient Objects From Bag of Single Image Perturbations", in <span style="font-style: italic;"> Multimedia Tools and Applications, </span>, Vol. 79, pp. 2473–2493, 2020. <a href="https://link.springer.com/article/10.1007/s11042-019-08388-1">[Link]</a></li>
<li>Ravi Kiran S., Shiv Surya, Trisha M. and R. Venkatesh Babu, "Pictionary-style word-guessing on hand-drawn object sketches: dataset, analysis and deep network models", <span style="font-style: italic;"> IEEE Trans. Pattern Analysis and Machine Intelligence </span> (PAMI), Vol. 42, No. pp. 221-231, 2020. <a href="https://ieeexplore.ieee.org/document/8509167/">[Link]</a> <a href="https://github.com/val-iisc/sketchguess">[Code]</a> </li>
<li>Navchetan Awasthi, K. Ram Prabhakar, Sandeep Kumar Kalva, Manojit Pramanik, R. Venkatesh Babu, and Phaneendra K. Yalavarthy, "PA-Fuse: A Deep Supervised Approach for Fusion of Photoacoustic Images with Distinct Reconstruction Characteristics", <span style="font-style: italic;">in Biomedical Optics Express</span>, Vol. 10, No.5, pp. 2227-2243, 2019. <a href="http://cds.iisc.ac.in/faculty/yalavarthy/Awasthi_BOE_2019.pdf">[pdf]</a><a href ="https://www.osapublishing.org/boe/abstract.cfm?uri=boe-10-5-2227">[Link]</a></li>
<li>Mopuri Reddy, Aditya Ganeshan and R. Venkatesh Babu, "Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations", <span style="font-style: italic;"> IEEE Trans. Pattern Analysis and Machine Intelligence </span> (PAMI), Vol. 41, No. 10, pp. 2452-2465, Oct. 2019. <a href="https://arxiv.org/abs/1801.08092">[arXiv]</a><a href="https://ieeexplore.ieee.org/document/8423654/">[Link]</a> <a href="https://github.com/val-iisc/GD-UAP">[Code]</a></li>
<li>Mopuri Reddy, Utsav Garg and R. Venkatesh Babu, "CNN Fixations: An unraveling approach to visualize the discriminative image regions", <span style="font-style: italic;"> IEEE Trans. Image Processing </span> (TIP), vol. 28, No. 5, pp. 2116 - 2125, May 2019. <a href="https://arxiv.org/abs/1708.06670">[arXiv]</a> <a href="https://github.com/val-iisc/cnn-fixations">[Code]</a><a href="https://ieeexplore.ieee.org/document/8537979">[Link]</a></li>
<li>Hisham R., Rajiv S., and R. Venkatesh Babu, "Evaluating Multi-exposure Fusion using Image Information", <span style="font-style: italic;">IEEE Trans. Signal Processing Letters,</span> vol. 24, no. 11, pp. 1671-1675, Nov, 2017.<a href="https://ieeexplore.ieee.org/document/8038081/">[Link]</a></li>
<li>Srinivas S S Kruthiventi, Kumar Ayush and R. Venkatesh Babu, "DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations", <span style="font-style: italic;">IEEE Trans. Image Processing </span>, vol. 26, no. 9, pp. 4446-4456, September, 2017. [<a href="http://ieeexplore.ieee.org/document/7937829/">Link</a>]</li>
<li>Sovan Biswas and R. Venkatesh Babu, "Anomaly Detection Via Short Local Trajectories", <span style="font-style: italic;"> Neurocomputing </span>, vol. 242, pp. 63-72, June 2017. [<a href="http://dx.doi.org/10.1016/j.neucom.2017.02.058">Link</a>]</li>
<li>Ravi Kiran Sarvadevabhatla, Sudharshan Suresh and R. Venkatesh Babu, "Object category understanding via eye fixations on freehand sketches", <span style="font-style: italic;">IEEE Trans. Image Processing </span>, vol. 26, no. 5, pp. 2508-2518, May 2017. [<a href="https://arxiv.org/abs/1703.06554">Link</a>]</li>
<li><span lang="EN-US">G. Krishna Vinay, Sk. M. Haque, R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu
and K.R.Ramakrishnan, "Sparse Representation based </span></span><span lang="EN-US"><span class="SpellE">Human Detection: A Scale Embedded Dictionary Approach", <span style="font-style: italic;">Signal, Image and Video Processing, Springer,</span> Vol.10, Issue.3, pp.585-592, March 2016 [<a href="http://link.springer.com/article/10.1007%2Fs11760-015-0781-5">Paper</a>]<br> </span></span></li>
<li>Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu, Srinivas Kruthiventi, Venkatesh Babu Radhakrishnan, "A Taxonomy of Deep Convolutional Neural Nets for Computer Vision", <span style="font-style: italic;">Frontiers in Robotics and AI, </span>January 2016[<a href="http://journal.frontiersin.org/article/10.3389/frobt.2015.00036/">Paper</a>]</li>
<li>R. Venkatesh Babu, Manu Tom and Paras Wadekar, "A Survey on Compressed Domain Video Analysis Techniques", <span style="font-style: italic;">Multimedia Tools and Applications</span>, Volume 75, Issue 2, pp 1043-1078, January 2016. [<a href="http://link.springer.com/article/10.1007%2Fs11042-014-2345-z">Link</a>]</li>
<li>R. Venkatesh Babu, R. Badrinarayanan, S. Suresh and Manu Tom, "Human Action Recognition in H.264/AVC Compressed Domain using Meta-Cognitive Radial Basis Function Network", <span style="font-style: italic;">Applied Soft Computing, Elsevier, </span>pp. 218-227, vol. 36,November 2015. [<a href="http://www.sciencedirect.com/science/article/pii/S156849461500441X">Paper</a>]</li>
<li>R. Venkatesh Babu, Priti P., and Aniruddha Acharya, "Robust Tracking with Interest
Points: A Sparse Representation Approach", <span style="font-style: italic;">Image and Vision Computing</span>, Vol. 33, No. 1, pp. 44-56, 2015. [<a href="http://dx.doi.org/10.1016/j.imavis.2014.10.006">DOI</a>][<a href="http://val.serc.iisc.ernet.in/Codes/IP_Tracking.zip">Code</a>]</li>
<li>Avinash Ramakanth and R. Venkatesh Babu, "Synthetic Image Super Resolution Using FeatureMatch", <span style="font-style: italic;">Multimedia Tools and Applications, Springer, </span>pp. 6691-6707, vol. 74, no. 17, September 2015 [<a href="http://link.springer.com/article/10.1007%2Fs11042-014-1925-2">Link</a>][<a href="http://val.serc.iisc.ernet.in/Codes/SSR.zip">Code</a>][<a href="http://val.serc.iisc.ernet.in/Codes/SyntheticImages.zip">Database</a>]</li>
<li>Sovan Biswas and R. Venkatesh Babu, "Anomaly Detection in Compressed H.264/AVC Video", <span style="font-style: italic;">Multimedia Tools and Applications, </span>Vol. 74, no. 24, pp. 11099-11115, 2015. [<a href="http://link.springer.com/article/10.1007%2Fs11042-014-2219-4">Link</a>]</li>
<li>Manu Tom, R. Venkatesh Babu and Gnana Praveen, "Compressed Domain Human Action Recognition in H.264/AVC Video Streams", <span style="font-style: italic;">Multimedia Tools and Applications, </span>Volume 74, Issue 21, pp 9323-9338, November 2015. [<a href="http://link.springer.com/article/10.1007/s11042-014-2083-2">Link</a>]<br></li>
<li>Aniruddha Acharya, R. Venkatesh Babu and Sathish Vadhiyar, "A Real Time Implementation of SIFT on GPU", <span style="font-style: italic;">Journal of Real-Time Image Processing</span> [<a href="http://link.springer.com/article/10.1007%2Fs11554-014-0446-6">DOI</a>] [<a href="http://val.serc.iisc.ernet.in/Codes/gpusift.zip">Code</a>]</li>
<li>Avinash Ramakanth and R. Venkatesh Babu, "FeatureMatch: A General ANNF Estimation Technique and its Applications", <span style="font-style: italic;">IEEE Trans. Image Processing, </span>Vol. 23, No. 5, pp. 2193-2205, 2014. [<a href="http://dx.doi.org/10.1109/TIP.2014.2309436">DOI</a>]<span lang="EN-US"><span class="SpellE"></span></span><span lang="EN-US"><span class="SpellE"></span></span><span lang="EN-US"><span class="SpellE"></span></span><span lang="EN-US"><span class="SpellE"></span></span><span lang="EN-US"><span class="SpellE">[<a href="http://val.serc.iisc.ernet.in/Codes/FM_Code.zip">Matlab <span style="text-decoration: underline;">code</span></a>]</span></span>
</li>
<li>Avinash Ramakanth and R. Venkatesh Babu, "Approximate Nearest Neighbour Field based Optic Disk Detection", <span style="font-style: italic;">Computerized Medical Imaging and Graphics</span>, Vol. 38, No. 1, pp. 49-56, 2014. [<a href="http://dx.doi.org/10.1016/j.compmedimag.2013.10.007">DOI</a>][<a href="http://val.serc.iisc.ernet.in/Codes/OpticDisk_CMIG.zip">Code</a>]<br>
<span lang="EN-US"></span></li><li><span lang="EN-US">R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span>, <st1:place w:st="on"></st1:place> R. Savitha</span>, <span lang="EN-US"><st1:place w:st="on">S. Suresh</st1:place> and Bhuvanesh Agarwal, </span>Subject Independent Human Action Recognition using Spatio-Depth Information and Meta-cognitive RBF Network, <span style="font-style: italic;">Engineering Applications of Artificial Intelligence</span>, pp. 2010-2021, Vol. 26. No. 9, October 2013. [<a href="http://dx.doi.org/10.1016/j.engappai.2013.07.008">DOI</a>]<br>
<span lang="EN-US"></span></li><li><span lang="EN-US">R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span>, <st1:place w:st="on">S. Suresh</st1:place> and R. Savitha, </span>Human Action Recognition using a Fast Learning Fully Complex-valued Classifier, <span style="font-style: italic;">Neurocomputing, </span>pp. 202-212, Vol. 89, July 2012. [<a href="http://dx.doi.org/10.1016/j.neucom.2012.03.003">DOI</a>]<br>
<span lang="EN-US"></span></li><li><span lang="EN-US">R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span>, <st1:place w:st="on">S. Suresh</st1:place> and A. <span class="SpellE">Makur</span>, Robust
Visual Tracking with Online Adaptive RBF-Networks, <i style="">Computer
Vision and Image Understanding,</i> pp. 297-310, Vol. 114, No.
3, March 2010.<o:p> [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/rvb_cviu10.pdf">pdf</a>]</o:p></span></li><li><span lang="EN-US"><span class="SpellE">Chhabi</span> Nigam, R. <span class="SpellE">Venkatesh</span>
<span class="SpellE">Babu</span>, S. Kumar Raja and K. R. <span class="SpellE">Ramakrishnan</span>,
Fragmented Particles-based Robust Object Tracking with Feature Fusion, <i>International
Journal of Image and Graphics</i>, pp 93-112,Vol. 10, No. 1, January
2010. [<a href="http://dx.doi.org/10.1142/S0219467810003688">link</a>]<br>
</span></li><li><span lang="EN-US">S. Suresh, R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span> and H. J. Kim, No-Reference
Image Quality Assessment using Modified Extreme Learning Machine
Classifier, <i>Applied
Soft Computing, </i>pp. 541-552, Vol. 9, No. 2,<i> </i>March 2009.<o:p> [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/rvb_asc09.pdf">pdf</a>]</o:p></span></li><li><span lang="EN-US"><span class="SpellE">Jaideep</span> <span class="SpellE">Jeyakar</span>, R.
<span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span>
and K. R. <span class="SpellE">Ramakrishnan</span>, Robust Object
Tracking with
Background-weighted Local Kernels, <i>Computer Vision and Image
Understanding, </i>pp. 296-309, December, 2008. [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/rvb_cviu08.pdf">pdf</a>]</span></li><li><span lang="EN-US">R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span>,
Andrew <span class="SpellE">Perkis</span> and Odd <span class="SpellE">Inge</span>
<span class="SpellE">Hillesta</span>, Evaluation and Monitoring of
Video Quality for
UMA Enabled Video Streaming Systems, pp. 211-231, <i>Multimedia Tools
and
Applications</i>, April 2008.<o:p> [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/rvb_mta08.pdf">pdf</a>]</o:p></span></li><li><span lang="EN-US">R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span>,
Patrick Perez and
Patrick <span class="SpellE">Bouthemy</span>, Robust Tracking with
Motion
Estimation and Local Kernel-Based Color Modeling, <i>Image and Vision
Computing,</i>, <span class="SpellE">Vol</span> 25, No. 8, pp.
1205-1216, August 2007. [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/rvb_ivc07.pdf">pdf</a>]<br>
</span></li><li><span lang="EN-US">R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span>
and K. R. <span class="SpellE">Ramakrishnan</span>, Compressed Domain
Video Retrieval using
Object and Global Motion Descriptors, <i>Multimedia Tools and
Applications</i>,
<span class="SpellE">Vol</span> 32, No. 1, pp. 93-113, January 2007.<o:p> [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/rvb_mta07.pdf">pdf</a>]</o:p></span></li><li><span lang="EN-US">R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span>,
S. Suresh and A. <span class="SpellE">Perkis</span>, No-Reference
JPEG-Image Quality Assessment using
GAP-RBF, <i>Signal Processing, </i>Vol. 87, No. 6, pp. 1493-1503,
June 2007. [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/rvb_sp07.pdf">pdf</a>]<br>
</span></li><li><span lang="EN-US">R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span>
and K. R. <span class="SpellE">Ramakrishnan</span>, Recognition of
Human Actions using Motion
History Information Extracted from the Compressed Video, <i>Image and
Vision
Computing</i>, <span class="SpellE">Vol</span> 22, No. 8, pp. 597-607,
August
2004.<o:p> [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/rvb_ivc04.pdf">pdf</a>]</o:p></span></li><li><span lang="EN-US">R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span>
and K. R. <span class="SpellE">Ramakrishnan</span>, Sprite Generation
from MPEG Video using
Motion Information, <i>International Journal of Image and Graphics</i>,
No. 2,
Vol. 4, pp. 263-280, April 2004. [<a href="http://dx.doi.org/10.1142/S0219467804001403">link</a>]<br>
</span></li><li><span lang="EN-US">R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span>,
K. R. <span class="SpellE">Ramakrishnan</span> and S. H. <span class="SpellE">Srinivasan</span>,
Video Object Segmentation: A Compressed Domain Approach, <i>IEEE
Transactions
on Circuits and Systems for Video Technology</i>, Vol.14, No. 4, pp.
462-474,
April 2004.<o:p> [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/rvb_csvt04.pdf">pdf</a>]</o:p></span></li><li><span lang="EN-US">R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span>,
B. <span class="SpellE">Anantharaman</span>, K. R. <span class="SpellE">Ramakrishnan</span>
and S. H. <span class="SpellE">Srinivasan</span>, Compressed domain
action
classification using HMM, <i>Pattern Recognition Letters</i>, vol. 23,
no. 10,
pp. 1203-1213, August, 2002. [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/rvb_prl02.pdf">pdf</a>]<br>
</span></li></ul><ul style="text-align: left;">
</ul>
<h2 id="conferences"> <br><br>Conferences </h2>
<ul style="text-align: left;">
</ul><ul style="text-align: left;">
</ul><ul style="text-align: left;">
<li> Sravanti A., Ashish A., Lakshay and R. Venkatesh Babu, "Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification", accepted in CVPR 2024.</li>
<li> Rishubh P., Abhijnya B., Abhipsa Basu, Sashwat, Jogendra and R. Venkatesh Babu, "Balancing Act: Distribution-Guided Debiasing in Diffusion Models", accepted in CVPR 2024. <a href="https://arxiv.org/pdf/2402.18206">[pdf]</a> </li>
<li> Harsh Rangwani, Pradipto M,, Mayank M., Ashish A., and R. Venkatesh Babu "DeiT-LT: Distillation Strikes Back for Vision Transformer training on Long-Tailed Datasets", accepted in CVPR 2024. <a href="https://arxiv.org/pdf/2404.02900"> [pdf] </a> <a href="https://rangwani-harsh.github.io/DeiT-LT/"> [project] </a> </li>
<li> Shrinivas, Harsh, Sho Takemori, Kunal, Yuhei Umeda and, R. Venkatesh Babu, "Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Metrics", accepted in ICLR-2024 (Spotlight, Top 5% paper). <a href="https://openreview.net/forum?id=rxVBKhyfSo">[pdf]</a> </li>
<li> M Yashwanth, Gaurav Kumar Nayak, Harsh Rangwani, Arya Singh, R. Venkatesh Babu, and Anirban Chakraborty, "Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning", in WACV 2024. <a href="https://openaccess.thecvf.com/content/WACV2024/papers/Yashwanth_Minimizing_Layerwise_Activation_Norm_Improves_Generalization_in_Federated_Learning_WACV_2024_paper.pdf">[pdf]</a> <a href="https://github.com/vcl-iisc/fedMAN">[Code] </a> </li>
<li> Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Pradyumna YM, Akshay Kulkarni, Jogendra Nath Kundu, and R. Venkatesh Babu, "Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation", in WACV 2024. <a href="https://openaccess.thecvf.com/content/WACV2024/papers/Sanyal_Aligning_Non-Causal_Factors_for_Transformer-Based_Source-Free_Domain_Adaptation_WACV_2024_paper.pdf">[pdf]</a> <a href="https://val.cds.iisc.ac.in/C-SFTrans/">[Code] </a> </li>
<li> Abhipsa Basu, Danish P., and R. Venkatesh Babu, "Inspecting the Geographical Representativeness of Images from Text-to-Image Models", in ICCV 2023. <a href="https://openaccess.thecvf.com/content/ICCV2023/papers/Basu_Inspecting_the_Geographical_Representativeness_of_Images_from_Text-to-Image_Models_ICCV_2023_paper.pdf">[pdf]</a> <a href="https://github.com/val-iisc/Geographical_Representativeness">[Code/Data] </a> </li>
<li> Sunandini Sanyal, Ashish, Suvaansh, Akshay, Jogendra and R. Venkatesh Babu, "Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation", in ICCV 2023. <a href="https://openaccess.thecvf.com/content/ICCV2023/papers/Sanyal_Domain-Specificity_Inducing_Transformers_for_Source-Free_Domain_Adaptation_ICCV_2023_paper.pdf">[pdf]</a> <a href="https://github.com/val-iisc/DSiT-SFDA">[Code] </a> </li>
<li> Ankit Dhiman, Srinath, Harsh, Rishubh, Lokesh, Srinath Sridhar and R. Venkatesh Babu,"Strata-NeRF: Neural Radiance fields for Stratified Scenes", in ICCV 2023. <a href="https://openaccess.thecvf.com/content/ICCV2023/papers/Dhiman_Strata-NeRF__Neural_Radiance_Fields_for_Stratified_Scenes_ICCV_2023_paper.pdf">[pdf]</a> <a href="https://ankitatiisc.github.io/Strata-NeRF/">[Code] </a> </li>
<li> Abhipsa Basu, Sravanti A., and R. Venkatesh Babu, "RMLVQA: A Margin Loss Approach For Visual Question Answering with Language Biases", in CVPR 2023. <a href="https://openaccess.thecvf.com/content/CVPR2023/papers/Basu_RMLVQA_A_Margin_Loss_Approach_for_Visual_Question_Answering_With_CVPR_2023_paper.pdf">[pdf]</a> <a href="https://github.com/val-iisc/RMLVQA">[Code] </a> </li>
<li> Samyak Jain, Sravanti A., Pawan, Priyam Dey and R. Venkatesh Babu, "DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks", in CVPR 2023. <a href="https://openaccess.thecvf.com/content/CVPR2023/papers/Jain_DART_Diversify-Aggregate-Repeat_Training_Improves_Generalization_of_Neural_Networks_CVPR_2023_paper.pdf">[pdf]</a> <a href="https://github.com/val-iisc/DART">[Code] </a> </li>
<li> Harsh Rangwani, Lavish, Kartik, Tejan, Varun J., and R. Venkatesh Babu, "NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs", in CVPR 2023. <a href="https://openaccess.thecvf.com/content/CVPR2023/papers/Rangwani_NoisyTwins_Class-Consistent_and_Diverse_Image_Generation_Through_StyleGANs_CVPR_2023_paper.pdf">[pdf]</a> <a href="https://github.com/val-iisc/NoisyTwins">[Code] </a> </li>
<li> Sravanti Addepalli, Anshul Nasery, R. Venkatesh Babu, Praneeth Netrapalli, and Prateek Jain, "Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks", in ICLR-2023. [joint work with Google Research India.] <a href="https://openreview.net/forum?id=zH9GcZ3ZGXu">[Link]</a> </li>
<li> Deepak Babu Sam, Jimmy J., Abhinav A., R. Venkatesh Babu, "Dense or Sparse: Crowd Counting with Binary Supervision", in ICVGIP 2022.]</a> </li>
<li> Sravanti Addepalli, Samyak Jain and R. Venkatesh Babu, "Efficient and Effective Augmentation Strategy for Adversarial Training", in NeurIPS 2022. <a href="https://openreview.net/forum?id=ODkBI1d3phW">[Link]</a> </li>
<li> Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda and R. Venkatesh Babu"Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics", in NeurIPS 2022. <a href="https://openreview.net/forum?id=bGo0A4bJBc">[Link]</a> <a href="https://github.com/val-iisc/CostSensitiveSelfTraining">[Code]</a></li> </li>
<li> Harsh Rangwani, Sumukh K Aithal, Mayank Mishra, R. Venkatesh Babu, Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data in NeurIPS 2022. <a href="http://arxiv.org/abs/2212.13827"> [ArXiv] </a> <a href="https://github.com/val-iisc/Saddle-LongTail"> [Code] </a></li>
<li> Jogendra Nath Kundu, Suvaansh Bhambri, Akshay Ravindra Kulkarni, Hiran Sarkar, Varun Jampani and R. Venkatesh Babu, "Subsidiary Prototype Alignment for Universal Domain Adaptation", in NeurIPS 2022. <a href="https://proceedings.neurips.cc/paper_files/paper/2022/file/bf121b033db3bac31c3193e8a0dcbf66-Supplemental-Conference.pdf"> [pdf] </a> <a href="https://sites.google.com/view/spa-unida"> [Project Page] </a></li>
<li> Jogendra Nath Kundu, Suvaansh B., Akshay K., Hiran S., Varun J., and R. Venkatesh Babu, "Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation" in ECCV 2022. <a href="https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136900177.pdf">[pdf] </a> </li>
<li> Harsh Rangwani, Naman J., Tejan Karmali, Varun J., and R. Venkatesh Babu, "Improving GANs for Long-Tailed Data through Group Spectral Regularization" in ECCV 2022. <a href="https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136750423.pdf">[pdf] </a> <a href="https://github.com/val-iisc/gSRGAN">[Code] </a></li>
<li> Tejan Karmali, Rishubh Parihar, Susmit A., Harsh Rangwani, Varun J., Maneesh Singh and R. Venkatesh Babu, "Hierarchical Semantic Regularization of Latent Spaces in StyleGANs" in ECCV 2022. <a href="https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136750440.pdf">[pdf] </a> </li>
<li> Deepak B. S., Abhinav A., Jimmy J., Vishwanath S., R. Venkatesh Babu and Vishal Patel, "Completely Self-Supervised Crowd Counting via Distribution Matching" in ECCV 2022. <a href="https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136910180.pdf">[pdf] </a> </li>
<li> Sravanti A., Samyak jain, Gaurang S., and R. Venkatesh Babu, "Scaling Adversarial Training to Large Perturbation Bounds" in ECCV 2022. <a href="https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136650295.pdf">[pdf] </a> </li>
<li> Sravanti A., Kaushal Bhogale, Priyam Dey and R. Venkatesh Babu, "Towards Efficient and Effective Self-Supervised Learning of Visual Representations" in ECCV 2022. <a href="https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136910509.pdf">[pdf] </a> </li>
<li> Rishubh Parihar, Ankit Dhiman, Tejan Karmali and R. Venkatesh Babu, "Everything is there in the Latent Space: Image Editing by Latent Space Manipulation", in ACMMM 2022. <a href="https://sites.google.com/view/flamelatentediting">[Project Page]</a> </li>
<li> Harsh Rangwani, Sumukh Aithal, Mayank M., Arihant Jain and R. Venkatesh Babu, "A Closer Look at Smoothness in Domain Adversarial Training", in ICML 2022. <a href="https://arxiv.org/pdf/2206.08213">[pdf]</a> <a href="https://github.com/val-iisc/SDAT">[Code] </a> </li>
<li> Jogendra Nath Kundu, Akshay Kulkarni, Suvaansh Bhambri, Deepesh M,. Shreyas K., Varun Jampani and R. Venkatesh Babu, "Balancing Discriminability and Transferability for Source-Free Domain Adaptation", in ICML 2022. <a href="https://arxiv.org/pdf/2206.08009" >[pdf] </a> <a href="https://www.youtube.com/watch?v=Chp1hTtRcuk"> [Video] </a> </li>
<li> Sunandini Sanyal, Sravanti A., and R. Venkatesh Babu, “Towards Data-Free Model Stealing in a Hard Label Setting”, in CVPR 2022. <a href="https://openaccess.thecvf.com/content/CVPR2022/papers/Sanyal_Towards_Data-Free_Model_Stealing_in_a_Hard_Label_Setting_CVPR_2022_paper.pdf">[pdf]</a> <a href="https://github.com/val-iisc/Hard-Label-Model-Stealing">[Code]</a> </li>
<li> Jogendra N Kundu, Siddharth S., Pradyumna, Varun Jampani, Anirban C., and R. Venkatesh Babu, “Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation”, in CVPR 2022. <a href="https://sites.google.com/view/mrp-net"> [Project Page] </a> </li>
<li> Jogendra Nath Kundu, Akshay Kulkarni, Suvaansh Bhambri, Varun Jampani and R. Venkatesh Babu, "Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation", in AAAI 2022. <a href="https://arxiv.org/abs/2202.04287">[Paper]</a> <a href="https://sites.google.com/view/ast-ocdaseg">[Project Page]</a> </li>
<li> Deepak Babu Sam, Abhinav Agarwalla and R. Venkatesh Babu, "Beyond Learning Features: Training a Fully-functional Classifier with ZERO Instance-level Labels", in AAAI 2022 </li>
<li> K Ram Prabhakar, Vishal V., Nihar S., and R. Venkatesh Babu, "Few-Shot Domain Adaptation for Low Light RAW Image Enhancement", in BMVC 2021 [<b>Oral</b>][<b>Best Student Paper - runners-up</b>]. <a href="https://www.bmvc2021-virtualconference.com/assets/papers/0620.pdf">[pdf] </a> <a href="https://val.cds.iisc.ac.in/HDR/BMVC21/index.html">[Code]</a> </li>
<li> Tejan Karmali, Abhinav Atrishi, S S Harsha, Susmit A., Varun Jampani and R. Venkatesh Babu, "LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity", in WACV 2022. <a href="https://openaccess.thecvf.com/content/WACV2022/papers/Karmali_LEAD_Self-Supervised_Landmark_Estimation_by_Aligning_Distributions_of_Feature_Similarity_WACV_2022_paper.pdf">[Paper]</a> <a href="https://sites.google.com/view/lead-wacv22">[Project Page]</a></li>
<li> Jogendra Nath Kundu, Siddharth Seth, Anirudh, Pradyumna YM, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu, "Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation", in NeurIPS 2021. </li>
<li> Mugalodi Rakesh, Jogendra Nath Kundu, Varun Jampani, R. Venkatesh Babu, "Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery", in NeurIPS 2021. </li>
<li> Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj and R. Venkatesh Babu, “Towards Efficient and Effective Adversarial Training”, in NeurIPS 2021. </li>
<li> Vishal Vinod, Ram Prabhakar, R. Venkatesh Babu and Anirban Chakraborty, "Multi-Domain Conditional Image Translation: Translating Driving Datasets from Clear-Weather to Adverse Conditions", in ILDAV, ICCV Workshop 2021.
<li> Harsh Rangwani, Arihant Jain, Sumukh Aithal, and R. Venkatesh Babu, "S^3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation", in ICCV 2021. <a href="https://arxiv.org/abs/2109.08901">[Paper]</a> <a href="https://github.com/val-iisc/s3vaada">[Code]</a> </li>
<li> Rahul M V, Tejan Karmali, S. Sharma, A. Ghosh, Laszlo Jeni, R. Venkatesh Babu, and Maneesh Singh, “Deep Implicit Surface Point Prediction Networks”, in ICCV 2021. [Joint work with CMU and Verisk] </li>
<li> Jogendra Nath Kundu, Akshay Kulkarni, Amit Kumar Singh, Varun Jampani, and R. Venkatesh Babu, “Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation”, in ICCV 2021. <a href="https://arxiv.org/abs/2108.11249">[Paper]</a><a href="https://sites.google.com/view/sfdaseg">[Project Page]</a></li>
<li> Harsh Rangwani, Konda Reddy, and R. Venkatesh Babu, "Class Balancing GAN with a Classifier in the Loop", in UAI 2021. <a href="https://arxiv.org/abs/2106.09402">[arXiv]</a> <a href="https://github.com/val-iisc/class-balancing-gan">[Code]</a></li>
<li> Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan and R. Venkatesh Babu, "Boosting Adversarial Robustness using Feature Level Stochastic Smoothing", in SAIAD, CVPRW'21. <a href="https://openaccess.thecvf.com/content/CVPR2021W/SAIAD/papers/Addepalli_Boosting_Adversarial_Robustness_Using_Feature_Level_Stochastic_Smoothing_CVPRW_2021_paper.pdf">[Paper]</a> </li>
<li> Ram Prabhakar, Gowtham Senthil, Susmit Agrawal, R. Venkatesh Babu, and G. R. K. S. Subrahmanyam, "Labeled from Unlabeled: Exploiting Unlabeled Data for Few-shot Deep HDR Deghosting", in CVPR 2021. <a href="https://openaccess.thecvf.com/content/CVPR2021/papers/Prabhakar_Labeled_From_Unlabeled_Exploiting_Unlabeled_Data_for_Few-Shot_Deep_HDR_CVPR_2021_paper.pdf">[Paper]</a> </li>
<li> Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj and R. Venkatesh Babu, “Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses”, in NeurIPS 2020. [<b>Spotlight</b>, top 4%] <a href="https://arxiv.org/abs/2011.14969">[arXiv]</a> <a href="https://github.com/val-iisc/GAMA-GAT">[Code]</a></li>
<li> Naveen, Jogendra Nath Kundu, Durgesh, Ambareesh and R. Venkatesh Babu, “Your Classifier can Secretly Suffice Multi-Source Domain Adaptation”, in NeurIPS 2020. <a href="https://papers.nips.cc/paper/2020/hash/3181d59d19e76e902666df5c7821259a-Abstract.html">[Paper]</a></li>
<li> Surbhi Aggarwal, Jogendra Nath Kundu, R. Venkatesh Babu and Anirban C., “WAMDA: Weighted Alignment of Sources for Multi-source Domain Adaptation”, in BMVC 2020. [<b>Oral</b>, top 5%]<a href="https://www.bmvc2020-conference.com/conference/papers/paper_0423.html">[Paper]</a></li>
<li> Jogendra Nath Kundu, Mugalodi R Rakesh, Varun Jampani, Rahul M. V., R. Venkatesh Babu, “Appearance Consensus Driven Self-Supervised Human Mesh Recovery”, in ECCV 2020. accepted in ECCV 2020. [<b>Oral</b>, top 2%]] <a href="https://arxiv.org/abs/2008.01341">[arXiv]</a><a href="https://github.com/val-iisc/ss_human_mesh">[Project Page]</a></li>
<li> K. Ram Prabhakar, Susmit Agrawal, Durgesh Kumar Singh, Balraj Ashwath, R. Venkatesh Babu, “Towards Practical and Efficient High-Resolution HDR Deghosting with CNN”, in ECCV 2020.<a href="http://val.serc.iisc.ernet.in/HDR/eccv20/">[Project Page]</a> </li>
<li> Jogendra Nath Kundu, Ambareesh Revanur, Govind Vitthal Waghmare, Rahul M. V., R. Venkatesh Babu, “Unsupervised Cross-Modal Alignment For Multi-Person 3D Pose Estimation”, in ECCV 2020. <a href="https://arxiv.org/abs/2008.01388">[arXiv]</a><a href="https://sites.google.com/view/multiperson3D">[Project Page]</a></li>
<li> Vishwanath S, Rajeev Yasarla, Deepak B. S., R. Venkatesh Babu, Vishal Patel “Learning to Count in the Crowd from Limited Labeled Data”, in ECCV 2020. <a href="https://arxiv.org/abs/2007.03195">[arXiv]</a></li>
<li> Jogendra Nath Kundu, Naveen Venkat, Rahul M. V., Ambareesh Revanur, R. Venkatesh Babu, “Class-Incremental Domain Adaptation”, in ECCV 2020. <a href="https://arxiv.org/abs/2008.01389">[arXiv]</a><a href="https://sites.google.com/view/cida-eccv">[Project Page]</a></li>
<li> Sravanti A., Dipesh T., R. Venkatesh Babu and Biplab Banerjee,"Saliency-Driven Class Impressions for Feature Visualization of Deep Neural Networks", in ICIP 2020. <a href="https://arxiv.org/abs/2007.15861">[arXiv]</a></li>
<li> Vivek B. S., Ambareesh R., Naveen Venkat and R. Venkatesh Babu, "Plug-And-Pipeline: Efficient Regularization for Single-Step Adversarial Training", in CVPR 2020 Workshop on Fair, Data Efficient and Trusted Computer Vision. <a href="https://openaccess.thecvf.com/content_CVPRW_2020/html/w1/B.S._Plug-and-Pipeline_Efficient_Regularization_for_Single-Step_Adversarial_Training_CVPRW_2020_paper.html">[CVF Link]</a></li>
<li> Mopuri Reddy, Vaisakh S., R. Venkatesh Babu, "Adversarial Fooling beyond "flipping the label", in CVPR 2020 Workshop on Adversarial Machine Learning in Computer Vision. <a href="https://openaccess.thecvf.com/content_CVPRW_2020/papers/w47/Mopuri_Adversarial_Fooling_Beyond_Flipping_the_Label_CVPRW_2020_paper.pdf">[PDF]</a></li>
<li> K. Ram Prabhakar, Akshaya R., S. Bhambri, J. Gubbi, R. Venkatesh Babu and P. Balamuralidhar, "CDNet++: Improved Change Detection with Deep Neural Network Feature Correlation", in IJCNN 2020. </li>
<li> Vivek B. S. and R. Venkatesh Babu, "Single-step Adversarial training with Dropout Scheduling", in CVPR 2020. <a href="https://arxiv.org/abs/2004.08628">[arXiv]</a><a href="https://openaccess.thecvf.com/content_CVPR_2020/html/B.S._Single-Step_Adversarial_Training_With_Dropout_Scheduling_CVPR_2020_paper.html">[CVF Link]</a> </li>
<li> Sravanti A., Vivek B. S., Arya B., Gaurang S., and R. Venkatesh Babu,"Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes", in CVPR 2020. <a href="https://arxiv.org/abs/2004.00306">[arXiv]</a><a href="https://openaccess.thecvf.com/content_CVPR_2020/html/Addepalli_Towards_Achieving_Adversarial_Robustness_by_Enforcing_Feature_Consistency_Across_Bit_CVPR_2020_paper.html">[CVF Link]</a><a href="https://github.com/val-iisc/BPFC">[Code]</a></li>
<li> Jogendra Nath K., Siddharth S., Varun J., Rakesh M., R. Venkatesh Babu and Anirban C.,"Self-Supervised 3D Human Pose Estimation Via Part Guided Novel Image Synthesis", in CVPR 2020. [<b>Oral</b>, top 5.7%]] <a href="https://arxiv.org/abs/2004.04400">[arXiv]</a><a href="https://openaccess.thecvf.com/content_CVPR_2020/html/Kundu_Self-Supervised_3D_Human_Pose_Estimation_via_Part_Guided_Novel_Image_CVPR_2020_paper.html">[CVF Link]</a><a href="https://sites.google.com/view/pgp-human">[Project Page]</a></li>
<li> Jogendra Nath K., Naveen V., Ambareesh R., Rahul M.V. and R. Venkatesh Babu,"Towards Inheritable Models for Open-set Domain Adaptation", in CVPR 2020. [<b>Oral</b>, top 5.7%]<a href="https://arxiv.org/abs/2004.04388">[arXiv]</a><a href="https://openaccess.thecvf.com/content_CVPR_2020/html/Kundu_Towards_Inheritable_Models_for_Open-Set_Domain_Adaptation_CVPR_2020_paper.html">[CVF Link]</a> <a href="https://sites.google.com/view/inheritune">[Project Page]</a></li>
<li> Jogendra Nath K., Naveen V., Rahul M.V. and R. Venkatesh Babu, "Universal Source-Free Domain Adaptation", in CVPR 2020. <a href="https://arxiv.org/abs/2004.04393">[arXiv]</a><a href="https://openaccess.thecvf.com/content_CVPR_2020/html/Kundu_Universal_Source-Free_Domain_Adaptation_CVPR_2020_paper.html">[CVF Link]</a><a href="https://sites.google.com/view/usfda-cvpr2020">[Project Page]</a></li>
<li> Navaneet K.L., Ansu M., Shashank K., Wei-Chih Hung, Varun J. and R. Venkatesh Babu,"From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks", in CVPR 2020. <a href="papers/07375.pdf">[PDF]</a><a href="https://arxiv.org/abs/2005.01939">[arXiv]</a><a href="https://github.com/val-iisc/ssl_3d_recon">[Code]</a><a href="https://openaccess.thecvf.com/content_CVPR_2020/html/Navaneet_From_Image_Collections_to_Point_Clouds_With_Self-Supervised_Shape_and_CVPR_2020_paper.html">[CVF Link]</a></li>
<li> Sravanti A., Gaurav N., Anirban C., and R. Venkatesh Babu, "DeGAN : Data-enriching GAN for retrieving Representative Samples from a Trained Classifier", in AAAI 2020. <a href="https://arxiv.org/abs/1912.11960">[arXiv]</a></li></li>
<li> Jogendra Nath Kundu, Siddharth Seth, Rahul M.V., Rakesh M., R. Venkatesh Babu and Anirban C., "Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation", in AAAI 2020. [<b>Oral</b>, top 5.8%]].<a href="https://sites.google.com/view/ksp-human">[Project Page]</a></li>
<li> Jogendra Nath Kundu, M., Rahul M.V., Jay, and R. Venkatesh Babu, "Unsupervised Cross-Dataset Adaptation Via Probabilistic Amodal 3D Human Pose Completion", in WACV 2020. <a href="http://openaccess.thecvf.com/content_WACV_2020/papers/Kundu_Unsupervised_Cross-Dataset_Adaptation_via_Probabilistic_Amodal_3D_Human_Pose_Completion_WACV_2020_paper.pdf">[PDF]</a>. </li>
<li> Jogendra Nath Kundu, Gaurav Rajput and R. Venkatesh Babu, "VRT-Net: Real-Time Scene Parsing Via Variable Resolution Transform", in WACV 2020. <a href="http://openaccess.thecvf.com/content_WACV_2020/papers/Kundu_VRT-Net_Real-Time_Scene_Parsing_via_Variable_Resolution_Transform_WACV_2020_paper.pdf">[PDF]</a></li>
<li> Deepak Babu Sam., Skand Peri, Mukunda, and R. Venkatesh Babu, "Going Beyond the Regression Paradigm with Accurate Dot Prediction for Dense Crowds", in WACV 2020. <a href="http://openaccess.thecvf.com/content_WACV_2020/html/Sam_Going_Beyond_the_Regression_Paradigm_with_Accurate_Dot_Prediction_for_WACV_2020_paper.html">[PDF]</a></li>
<li> Surbhi A., R. Venkatesh Babu and Anirban C.,, "Text-based Person Search via Attribute-aided Matching", in WACV 2020. <a href="http://openaccess.thecvf.com/content_WACV_2020/html/Aggarwal_Text-based_Person_Search_via_Attribute-aided_Matching_WACV_2020_paper.html">[PDF]</a></li>
<li> Jogendra Nath Kundu, Himanshu B., Priyanka M., Rahul M.V., Anirudh, and R. Venkatesh Babu, "Cross-conditioned Recurrent Networks for Long-term Synthesis of Inter-person Human Motion Interactions", in WACV 2020. <a href="http://openaccess.thecvf.com/content_WACV_2020/papers/Kundu_Cross-Conditioned_Recurrent_Networks_for_Long-Term_Synthesis_of_Inter-Person_Human_Motion_WACV_2020_paper.pdf">[PDF]</a></li>
<li> Jogendra Nath Kundu, Nishank L., and R. Venkatesh Babu, "UM-Adapt: Unsupervised Multi-task Adaptation using Adversarial Cross-task Distillation", accepted in ICCV 2019. [<b>Oral</b>, top 4.7%]].<a href="https://arxiv.org/abs/1908.03884">[arXiv]</a></li>
<li> Aditya G., Vivek B.S., and R. Venkatesh Babu, "FDA: Feature Disruptive Adversarial Attack", in ICCV 2019.<a href="https://arxiv.org/abs/1909.04385">[arXiv]</a></li>
<li> Jogendra Nath Kundu, Maharshi G., Dakshit A., and R. Venkatesh Babu, "GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-modal Data Distributions", in ICCV 2019.<a href="https://arxiv.org/abs/1908.03919">[arXiv]</a><a href="https://github.com/val-iisc/GANTree">[Code]</a></li>
<li> Gaurav N., Utkarsh S., R. Venkatesh Babu and Anirban C., "Efficient Person Re-Identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP)", in ICIP 2019. <a href="https://ieeexplore.ieee.org/document/8803674">[Link]</a></li>
<li> Gaurav N., Mopuri Reddy, Vaisakh S., R. Venkatesh Babu and Anirban C., "Zero Shot Knowledge Distillation in Deep Networks", in ICML 2019. <a href="https://arxiv.org/abs/1905.08114">[arXiv]</a></li>
<li> Navaneet K.L., Varun Jampani, Priyanka M. and R. Venkatesh Babu, "DIFFER: Moving Beyond 3D Reconstruction with Differentiable Feature Rendering", in 3DWiDGET, CVPR Workshop 2019. <a href="http://openaccess.thecvf.com/content_CVPRW_2019/papers/3D-WidDGET/K_L_Navaneet_DIFFER_Moving_Beyond_3D_Reconstruction_with_Differentiable_Feature_Rendering_CVPRW_2019_paper.pdf">[pdf]</a></li>
<li> Vivek B.S., Arya Baburaj and R. Venkatesh Babu, "Regularizer to Mitigate Gradient Masking Effect during Single-Step Adversarial Training", in CVCOPS, CVPR Workshop 2019. <a href="http://openaccess.thecvf.com/content_CVPRW_2019/papers/CV-COPS/S_Regularizer_to_Mitigate_Gradient_Masking_Effect_During_Single-Step_Adversarial_Training_CVPRW_2019_paper.pdf">[pdf]</a></li>
<li> K. Ram Prabhakar, Rajat A., Aditya S., Kunal S, and R. Venkatesh Babu, "A Fast, Scalable and Reliable Deghosting Method for Extreme Exposure Fusion", in ICCP 2019 [Oral].<a href="http://val.serc.iisc.ernet.in/ICCP19/">[Project Page]</a></li>
<li> Navaneet K.L., Vasudha T., R. Venkatesh Babu and Anirban C., "All for One: Frame-wise Rank Loss for improving Video-based Person Re-Identification", in ICASSP 2019. [Oral]<a href="">[pdf]</a></li>
<li> Jogendra Nath Kundu, Maharshi G., Phani K., and R. Venkatesh Babu, "Unsupervised Feature Learning of Human Actions as Trajectories in Pose Embedding Manifold", in WACV 2019.<a href="papers/WACV19_Pose_Embedding_Manifold.pdf">[pdf]</a></li>
<li> Priyanka M. and R. Venkatesh Babu, "Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network", in WACV 2019.<a href="papers/WACV19_Dense_PCR.pdf">[pdf]</a><a href="https://github.com/val-iisc/densepcr">[Code]</a></li>
<li> Navaneet K.L., Priyanka M., Mayank A., and R. Venkatesh Babu, "CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision", in AAAI 2019.<a href="papers/AAAI_2019_Projection_3D.pdf">[pdf]</a><a href="https://github.com/val-iisc/capnet">[Code]</a></li>
<li> Deepak Babu Sam, Neeraj S., Himanshu M., and R. Venkatesh Babu, "Almost Unsupervised Learning for Dense Crowd Counting", in AAAI 2019.<a href="papers/AAAI_2019_WTACNN.pdf">[pdf]</a></li>
<li> Jogendra Nath Kundu, Maharshi G., and R. Venkatesh Babu, "BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN", in AAAI 2019.<a href="papers/AAAI_2019_BiHMP_GAN.pdf">[pdf]</a></li>
<li> Mopuri Reddy, Akshay V., and R. Venkatesh Babu, "BatchOut: Batch-level feature augmentation to improve robustness to adversarial example", in ICVGIP, 2018.<a href="papers/ICVGIP_2018_batchout.pdf">[pdf]</a></li>
<li> Jogendra Nath Kundu, Aditya G., Rahul M V., and R. Venkatesh Babu, "Object Pose Estimation from Monocular Image using Multi-View Keypoint Correspondence", in GMDL, ECCV Workshop, 2018.</li>
<li> Priyanka M., Navaneet K.L., and R. Venkatesh Babu, "3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction from a Single Image", in 3DRMS, ECCV Workshop, 2018.</li>
<li> Vivek B.S., M. Reddy and R. Venkatesh Babu, "Gray box Adversarial Training" in ECCV 2018.<a href="https://arxiv.org/abs/1808.01753">[arXiv]</a><a href="https://github.com/val-iisc/gat">[Code]</a></li>
<li>M. Reddy, Phani Krishna and R. Venkatesh Babu, "Ask, Acquire and Attack: Data-free UAP generation using Class impressions" in ECCV 2018.<a href="https://arxiv.org/abs/1808.01153">[arXiv]</a></li>
<li>Navaneet K. L., Priyanka M., Mayank Agarwal and R. Venkatesh Babu, "3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image" in BMVC 2018.</a><a href="https://arxiv.org/abs/1807.07796">[arXiv]</a><a href="https://github.com/val-iisc/3d-lmnet">[Code]</a></li>
<li>Jogendra Nath Kundu, Aditya G., Rahul M V., Aditya P., and R. Venkatesh Babu, "iSPA-Net: Iterative Semantic Pose Alignment Network" in ACMMM 2018.<a href="https://arxiv.org/abs/1808.01134">[arXiv]</a></li>
<li>M. Reddy, Vishal, and R. Venkatesh Babu, "Learning Representations with Strong Supervision for Image Search" in SPCOM 2018. [Best Paper Award]</li>
<li>Akshay, Suraj Srinivas and R. Venkatesh Babu, "Estimating Confidence for Deep Neural Networks Through Density Modeling" in SPCOM 2018.</li>
<li>M. Reddy, Utkarsh Ohja, Utsav Garg and R. Venkatesh Babu, "NAG: Network for Adversary Generation", in CVPR 2018.</a><a href="http://openaccess.thecvf.com/content_cvpr_2018/html/0135.html">[Link]</a></a><a href="https://github.com/val-iisc/nag">[Code]</a></li>
<li>Deepak Babu Sam, Neeraj S., R. Venkatesh Babu, and S. Mukundan"Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN", in CVPR 2018.</a><a href="http://openaccess.thecvf.com/content_cvpr_2018/html/2726.html">[Link]</a></li>
<li>Jogendra Nath Kundu, Phani Krishna, Anuj P. and R. Venkatesh Babu, "AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation", in CVPR 2018.</a><a href="http://openaccess.thecvf.com/content_cvpr_2018/html/2583.html">[Link]</a></a><a href="http://val.cds.iisc.ac.in/adadepth/">[Project]</a></li>
<li>Deepak Babu Sam and R. Venkatesh Babu, "Top-Down Feedback for Crowd Counting Convolutional Neural Network" in AAAI 2018.</a><a href="https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16726/16328">[pdf]</a></li>
<li>Ravi Kiran S, Shiv Surya, Trisha and R. Venkatesh Babu, "Game of Sketches: A Deep Neural Model of Word Guessing for Pictionary", in AAAI 2018.</a><a href="https://arxiv.org/abs/1801.09356">[arXiv]</a><a href="https://github.com/val-iisc/sketchguess">[Project]</a></li>
<li>Avishek Majumder and R. Venkatesh Babu, "Deep Neural Network for Foreground Object Segmentation: An Unsupervised Approach", in NCVPRIPG, 2017.</a><a href="https://link.springer.com/chapter/10.1007/978-981-13-0020-2_32">[pdf]</a></li>
<li>Avishek Majumder, R. Venkatesh Babu and Anirban Chakraborthy, "Anomaly From Motion: Unsupervised Extraction of Visual Irregularity via Motion Prediction", in NCVPRIPG, 2017.</a><a href="https://link.springer.com/chapter/10.1007/978-981-13-0020-2_7">[pdf]</a></li>
<li>K Ram Prabhakar, Sai Srikar and R. Venkatesh Babu, "DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs", in ICCV, 2017.<a href="https://github.com/KRamPrabhakar/DeepFuse">[Code]</a></li>
<li>Konda Reddy Mopuri, Utsav Garg and R. Venkatesh Babu, "Fast Feature Fool: A Data Independent Approach to Universal Adversarial Perturbations", in BMVC, 2017. <a href=https://arxiv.org/pdf/1707.05572ï">[pdf]</a><a href="https://github.com/val-iisc/fast-feature-fool">[github-repo]</a> </li>
<li>Ravi Kiran Sarvadevabhatla, Isht Dwivedi, Abhijat Biswas, Sahil Manocha and R. Venkatesh Babu,"SketchParse: Towards Rich Descriptions For Poorly Drawn Sketches Using Multi-Task Hierarchical Deep Networks", in ACMMM, 2017.<a href="https://arxiv.org/pdf/1709.01295">[pdf]</a><a href="https://github.com/val-iisc/sketch-parse">[github-repo]</a></li>
<li>Suraj Srinivas, Akshay Varun and R. Venkatesh Babu,"Training Sparse Neural Networks", EVW, CVPRW, 2017.<a href="http://val.serc.iisc.ernet.in/papers/EVW17.pdf">[pdf]</a></li>
<li>Nithish Divakar and R. Venkatesh Babu,"Image Denoising via CNNs: An Adversarial Approach", NITRE, CVPRW 2017.<a href="http://val.serc.iisc.ernet.in/papers/NITRE_08.pdf">[pdf]</a></li>
<li>Deepak Babu Sam, Shiv Surya and R. Venkatesh Babu,"Switching Convolutional Neural Network for Crowd Counting", CVPR, 2017.<a href="http://val.serc.iisc.ernet.in/crowdcnn/">[Project Page]</a><a href="https://github.com/val-iisc/crowd-counting-scnn">[Code]</a></li>
<li>Ravi Kiran Sarvadevabhatla, Swaminathan G. and R. Venkatesh Babu,"DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data", CVPR, 2017.<a href="https://arxiv.org/pdf/1706.02071.pdf">[pdf]</a><a href="https://github.com/val-iisc/deligan">[github-repo]</a></li>
<li>Konda Reddy Mopuri, Vishal and R. Venkatesh Babu,"Deep Image Representations using Caption Generators", in ICME, 2017. [<a href="https://arxiv.org/abs/1705.09142">Link]</a></li>
<li>Suraj Srinivas, Akshay Varun and R. Venkatesh Babu,"Confidence Estimation in Deep Neural Networks via Density Modelling", in ICME, 2017.<a href="http://val.serc.iisc.ernet.in/papers/DNN_Confidence_Estimation.pdf">[pdf]</a></li>
<li>Souradeep Chakraborty, Jogendra Nath Kundu, R. Venkatesh Babu,"Deep image inpainting with region prediction at hierarchical scales", in ICVGIP, 2016.[<a href="http://dl.acm.org/citation.cfm?id=3009992"> Link]</a>
<li>Konda Reddy Mopuri, R. Venkatesh Babu,"Towards Semantic Visual Representation: Augmenting Image Representation with Natural Language Descriptors", in ICVGIP, 2016.<a href="https://sites.google.com/site/kreddymopuri/research/ir-nld">[Project Page]</a></li>
<li>Ravi Kiran Sarvadevabhatla, Raviteja Meesala, Manjunath Hegde, R. Venkatesh Babu,"Analyzing object categories via novel category-ranking measures defined on visual feature emebddings", in ICVGIP, 2016. [<a href="http://dl.acm.org/citation.cfm?doid=3009977.3010037"> Link]</a>
<li>Shiv Surya, R. Venkatesh Babu,"TraCount: A Deep Convolutional Neural Network for Highly Overlapping Vehicle Counting", in ICVGIP, 2016. [<a href="http://dl.acm.org/citation.cfm?id=3010060">Link]</a> </li>
<li>Lokesh Boominathan, Suraj Srinivas,Venkatesh Babu R.,"Compensating for Large In-Plane Rotations in Natural Images", in ICVGIP, 2016. [<a href="https://arxiv.org/abs/1611.05744">Link]</a> </li>
<li>Ravi Kiran Sarvadevabhatla, Shanthakumar V. and R. Venkatesh Babu, "'Part'ly first among equals: Semantic part-based benchmarking for state-of-the-art object recognition systems", in ACCV, 2016. [<a href="https://arxiv.org/abs/1611.07703">Link]</a> </li>
<li>Suraj Srinivas and R. Venkatesh Babu, "Learning Neural Net Architectures using Backpropagation", in BMVC, 2016.<a href="https://arxiv.org/pdf/1511.05497v2.pdf">[pdf]</a>.<br></li>
<li>Ravi Kiran Sarvadevabhatla, Jogendra Nath Kundu and R. Venkatesh Babu, "Enabling my robot to play Pictionary: Recurrent Neural Networks for sketch recognition", in ACMMM, 2016.[<a href="https://arxiv.org/pdf/1608.03369v1.pdf">pdf</a>].<a href="https://github.com/val-iisc/sketch-object-recognition">[Code]</a>.<br></li>
<li>Ravi Kiran Sarvadevabhatla and R. Venkatesh Babu, "Analyzing structural characteristics of object category representations from their semantic-part distributions", in ACMMM, 2016.[<a href="https://arxiv.org/pdf/1509.04399v1.pdf">pdf</a>].<a href="http://val.serc.iisc.ernet.in/eotd/epipartviz/">[Project Page]</a><a href="https://github.com/val-iisc/sketch-object-part-analysis">[Code and Part-annotated sketch object dataset]</a><br></li>
<li>Ravi Kiran Sarvadevabhatla, Shiv Surya, Srinivas S S Kruthiventi and R. Venkatesh Babu, "SwiDeN: Convolutional Neural Networks for Depiction Invariant Object Recognition", in ACMMM, 2016.[<a href="https://arxiv.org/pdf/1607.08764v1.pdf">pdf</a>].<a href="https://github.com/val-iisc/swiden">[Code]</a>.<br></li>
<li>Lokesh Boominathan, Srinivas S S Kruthiventi and R. Venkatesh Babu, "CrowdNet: Convolutional Neural Networks for Crowd Counting", in ACMMM, 2016.[<a href="https://arxiv.org/pdf/1608.06197v1.pdf">pdf</a>]<a href="http://val.serc.iisc.ernet.in/CrowdNet/">[Project Page]</a><br></li>
<li>Nithish Divakar and R. Venkatesh Babu, "Denoising in a Jiffy: A Fast and GPU Friendly Algorithm for Image Denoising" in SPCOM 2016<br></li>
<li>Kumaresh Krishnan, Nikita Prabhu and R. Venkatesh Babu, "ARRNET: Action Recognition through Recurrent Neural Networks", in SPCOM 2016<br></li>
<li>Sunil Kumar Vengalil, Neelam Sinha, Srinivas S S Kruthiventi and R. Venkatesh Babu, "Customizing CNNs for Blood Vessel Segmentation From Fundus Images", in SPCOM 2016<br></li>
<li>Srinivas S S Kruthiventi, Vennela Gudisa, Jaley Dholakiya and R. Venkatesh Babu, "Saliency Unified: A Deep Architecture for simultaneous Eye Fixation Prediction and Salient Object Segmentation", in CVPR 2016.[<a href="http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Kruthiventi_Saliency_Unified_A_CVPR_2016_paper.pdf">pdf</a>][<a href="http://val.serc.iisc.ernet.in/saliency-unified/"> Project Page</a>]<br></li>
<li>Chintak Sheth and R. Venkatesh Babu, "Object Saliency using a Background Prior", in ICASSP, 2016.[<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7472013">pdf</a>]<br></li>
<li>K Ram Prabhakar and R. Venkatesh Babu, "Ghosting-Free Multi-Exposure Image Fusion in Gradient Domain", in ICASSP, 2016. [<a href="http://val.serc.iisc.ernet.in/HDR/icassp2016_hdr/index.html">Project Page</a>]<br></li>
<li>Nikita Prabhu and R. Venkatesh Babu, "Attribute-Graph: A Graph based approach to Image Ranking", in ICCV, 2015 <a href="http://arxiv.org/pdf/1509.06658v2.pdf">[pdf][<a href="http://val.serc.iisc.ernet.in/attribute-graph/"> Project Page</a>][<a href="http://val.serc.iisc.ernet.in/Codes/AttributeGraphs.zip">Graphs</a>] <br>
<li>Ravi Kiran Sarvadevabhatla and R. Venkatesh Babu, "Eye of the Dragon : Exploring discriminatively minimalist sketch-based abstractions for object categories", in ACMMM, 2015 <a href="http://val.serc.iisc.ernet.in/eotd-preprint.pdf">[pdf]</a> <br>
<li>Suraj Srinivas and R. Venkatesh Babu, "Data-free Parameter Pruning for Deep Neural Networks", in BMVC, 2015<a href="http://arxiv.org/pdf/1507.06149v1.pdf">[pdf]</a> <br>
<li>Srinivas S S Kruthiventi and R. Venkatesh Babu, "Crowd Flow Segmentation in Compressed Domain using CRF", in ICIP, 2015[<a href="http://arxiv.org/pdf/1506.06006v1.pdf">pdf</a>]<br>
</li>
<li>Sai Srivatsa R and R. Venkatesh Babu, "Salient Object Detection via Objectness Measure", in ICIP, 2015[<a href="http://arxiv.org/pdf/1506.07363v1.pdf">pdf</a>][<a href="../SaliencyICIP15/index.html"> Project Page</a>]<br>
</li>
<li>Srinivas S S Kruthiventi and R. Venkatesh Babu, "Dominant Flow Extraction and Analysis in Traffic Surveillance Videos", in CVPR workshop on Group And Crowd Behavior Analysis And Understanding, 2015.[<a href="http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W04/papers/Kruthiventi_Dominant_Flow_Extraction_2015_CVPR_paper.pdf">pdf</a>]<br>
</li>
<li>Konda Reddy Mopuri and R. Venkatesh Babu, "Object Level Deep Feature Pooling for Compact Image Representation", in CVPR workshop on Deep Vision, 2015 [<a href="http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W03/papers/Mopuri_Object_Level_Deep_2015_CVPR_paper.pdf">pdf</a>] [<a href="../oldf/index.html"> [Project Page]</a><br>
</li>
<li>Srinivas S S Kruthiventi and R. Venkatesh Babu, "3D Action Recognition by Learning Sequences of Poses", in ICVGIP, 2014.[<a href="http://dl.acm.org/citation.cfm?id=2683506">Paper</a>]</li>
<li>Nikita Prabhu, Avinash Ramakanth and R. Venkatesh Babu, "Patch Flow based Visual Object Tracking", in ICVGIP, 2014.[<a href="http://dl.acm.org/citation.cfm?doid=2683483.2683570">Paper</a>]</li>
<li>Sovan Biswas and R. Venkatesh Babu, "Short Local Trajectory based moving anomaly detection", in ICVGIP, 2014 [<a href="http://dl.acm.org/citation.cfm?id=2683556">Paper</a>]</li>
<li>Aniruddha Acharya and R. Venkatesh Babu, "Fractal Codes based Secret Image Sharing", in ICVGIP, 2014 [<a href="http://dl.acm.org/citation.cfm?id=2683566">Paper</a>]</li>
<li>Chintak Sheth and R. Venkatesh Babu, "Super Pixel Clustering via Kernel Density Estimation", in ICVGIP, 2014 [<a href="http://dl.acm.org/citation.cfm?id=2683557">Paper</a>]</li>
<li>Sovan Biswas and R. Venkatesh Babu, "Sparse Representation based Anomaly detection with Enhanced Local Dictionaries", in ICIP, Paris, 2014 [<a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7026119&tag=1">Paper</a>]</li>
<li>Sovan Biswas, Gnana Praveen and R. Venkatesh Babu,"Super-pixel Based Crowd Flow Segmentation in H.264 Compressed Videos", in ICIP, Paris, 2014. [<a href="http://www.serc.iisc.ernet.in/crowd_flow_seg/CrowdFlowSegmentation.html">Project Page</a>] </li>
<li>Sovan Biswas and R. Venkatesh Babu, “Sparse Representation Based Anomaly Detection Using HOMV in H.264 Compressed Videos”, in SPCOM, 2014</li>
<li>Nirmal Jith and R. Venkatesh Babu, “Joint Bilateral Filtering Based Non-local Means Image Denoising”, in SPCOM, 2014.</li>
<li>Suraj V. and R. Venkatesh Babu, “Entropy Constrained Exemplar-based Image Inpainting”, in SPCOM, 2014<br> </li>
<li>Avinash
Ramakanth and R. Venkatesh Babu, SeamSeg: Video Object Segmentation
using Patch Seams, in CVPR, Columbus, Ohio, USA, 2014. [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/SeamSeg.pdf">pdf</a>][<a href="http://www.serc.iisc.ernet.in/seamSeg/seamSeg.html">Project Page</a>][<a href="http://val.serc.iisc.ernet.in/Codes/SeamSEG.zip">Code</a>]
</li>
<li>Aniruddha
Acharya and R. Venkatesh Babu, "Visual Object Tracking Via Random Ferns
based Classification", in ICASSP, Florance, Italy, 2014. [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/RandomFernsTracking_ICASSP14.pdf">pdf</a>]</li><li>Nirmal
Jith, Avinash Ramakanth and R. Venkatesh Babu, "Optical Flow Estimation
Using Approximate Nearest Neighbor Field Fusion", in ICASSP, Florance, Italy, 2014. [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/OF_via_ANNF_ICASSP14.pdf">pdf</a>]<br>
</li><li>S.
Kartick and R. Venkatesh Babu , “3-D Optical Flow Features based Human
Action Recognition System using Meta-Cognitive Neuro-Fuzzy Inference
System", in IEEE ISSNIP, Singapore, 2014. [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/3D_Action_Recognition_McFIS_ISSNIP14.pdf">pdf</a>]</li><li>Suraj
Vantigodi and R. Venkatesh Babu, “Action Recognition from Motion
Capture Data using Meta-cognitive RBF Network", in IEEE
ISSNIP, Singapore, 2014. [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/MoCAP_ISSNIP14.pdf">pdf</a>]</li><li>R. Badrinarayanan and R. Venkatesh
Babu, "Human Action Recognition in Compressed Domain using PBL-McRBFN
approach", in IEEE ISSNIP, Singapore, 2014. [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/Action_Recognition_CD_ISSNIP14.pdf">pdf</a>]</li><li>Avinash
Ramakanth and R. Venkatesh Babu, “Super Resolution Using a Single Image
Dictionary”, in IEEE CONECCT'14, Bangalore, 2014. [<a href="http://dx.doi.org/10.1109/CONECCT.2014.6740188">DOI</a>]<br>
</li><li>Nirmal
Jith, Avinash Ramakanth and R. Venkatesh Babu, “Optical Flow based on
Approximate Nearest Neighbour Field”, in IEEE CONECCT'14, Bangalore,
2014. [<a href="http://dx.doi.org/10.1109/CONECCT.2014.6740292">DOI</a>]</li><li>Gnana Praveen and R. Venkatesh Babu, “Crowd Flow
Segmentation based on Motion Vectors in H.264 Compressed Domain”, in
IEEE CONECCT'14, Bangalore, 2014. [<a href="http://dx.doi.org/10.1109/CONECCT.2014.6740330">DOI</a>]</li><li>Konda Reddy Mopuri,
Jayasimha Talur and R. Venkatesh Babu, “Sparse coding based VLAD for
efficient image retrieval” in IEEE CONECCT'14, Bangalore, 2014. [<a href="http://dx.doi.org/10.1109/CONECCT.2014.6740340">DOI</a>]<br>
</li><li>Manu Tom and R. Venkatesh Babu,
"Fast Moving-Object Detection in H.264/AVC Compressed Domain for Video
Surveillance", in NCVPRIPG 2013. [<a href="http://dx.doi.org/10.1109/NCVPRIPG.2013.6776202">DOI</a>]<br>
</li><li>Sovan Biswas and R. Venkatesh Babu, "Real-time Anomaly Detection in H.264 Compressed Videos", in NCVPRIPG 2013. [<a href="http://dx.doi.org/10.1109/NCVPRIPG.2013.6776164">DOI</a>]<br>
</li><li>Suraj Vantigodi and R. Venkatesh Babu, "Real-time Human Action Recognition using Motion Capture Data", in NCVPRIPG 2013. [<a href="http://dx.doi.org/10.1109/NCVPRIPG.2013.6776204">DOI</a>]<br>
</li><li>Avinash Ramakanth and R. Venkatesh Babu, ,"OD-Match: A PatchMatch based Optic Disk Detection", in NCVPRIPG 2013. [<a href="http://dx.doi.org/10.1109/NCVPRIPG.2013.6776206">DOI</a>]<br>
</li><li>Konda Reddy Mopuri, Shahil Arora and R. Venkatesh Babu,
"Spatio-Temporal feature based VLAD for efficient Video retrieval", in NCVPRIPG 2013. [<a href="http://dx.doi.org/10.1109/NCVPRIPG.2013.6776268">DOI</a>]<br>
</li><li>Aniruddha Acharya and R. Venkatesh Babu, "Speeding up SIFT using GPU", in NCVPRIPG 2013. [<a href="http://dx.doi.org/10.1109/NCVPRIPG.2013.6776198">DOI</a>]<br>
</li>
<li>Manu Tom and R. VenkateshBabu, “Rapid Human Action Recognition For H.264/AVC Surveillance Videos", in IEEE VCIP 2013. [<a href="http://dx.doi.org/10.1109/VCIP.2013.6706430">DOI</a>]<br>
</li>
<li>Ashwini M. J., R. Venkatesh
Babu and K. R. Ramakrishnan, "Context-Aware Real-Time Tracking in
Sparse Representation Framework", in IEEE International Conference on
Image Processing (ICIP), 2013. [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/Context_Track_icip13.pdf">pdf</a>]
</li><li>R.
Venkatesh Babu, "Real-time Robust Tracking Via Sparse Representation: A
Mode Seeking Approach", in IEEE International Conference on
Image Processing (ICIP), 2013. [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/RT_SR_Track_icip13.pdf">pdf</a>]
</li><li>R.
Venkatesh Babu and Priti Parate, "Interst Poins Based Object Tracking
via Sparse Representation", in IEEE International Conference on
Image Processing (ICIP), 2013. [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/IP_track_icip13.pdf">pdf</a>]
</li><li>Sovan Biswas and R. Venkatesh
Babu, "H.264 Compressed Video Classification Using Histogram of
Oriented Motion Vectors (HOMV)", in <span lang="EN-US"><span class="SpellE">IEEE International Conference on Acoustic Speech and Signal
Processing (ICASSP),</span></span> pp. 2040-2044, Vancouver, Canada 2013. [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/icassp13_HOMV.pdf">pdf</a>]<br>
</li><li>Sreekanth Raja and R. Venkatesh Babu, "A Near Optimal
Projection for Sparse Representation based Classification", in <span lang="EN-US"><span class="SpellE">IEEE International Conference on Acoustic Speech and Signal
Processing (ICASSP),</span></span> pp. 2089-2093, Vancouver, Canada, 2013. [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/icassp13_NOP_SR.pdf">pdf</a>]<br>
</li><li>Avinash Ruchandani and R.
Venkatesh Babu,"Local Appearance based Robust Tracking via Sparse
Representation", in ICVGIP 2012. <span lang="EN-US"><span class="SpellE">[<a href="http://www.serc.iisc.ernet.in/~venky/Papers/Local_appearance_sparse_tracking.pdf">pdf</a>]</span></span></li><li>Naresh Kumar M.S., and R. Venkatesh Babu, "Human Gait Recognition
Using Depth Camera: A Covariance Based Approach", in ICVGIP
2012. <span lang="EN-US"><span class="SpellE">[<a href="http://www.serc.iisc.ernet.in/~venky/Papers/Kinect_gait.pdf">pdf</a>]</span></span><span lang="EN-US"><span class="SpellE"></span></span><span lang="EN-US"><span class="SpellE"></span></span><span lang="EN-US"><span class="SpellE"></span></span><span lang="EN-US"><span class="SpellE"></span></span><span lang="EN-US"><span class="SpellE">[<a href="http://val.serc.iisc.ernet.in:8080/project/Gait_recognition.rar">Matlab <span style="text-decoration: underline;">code</span></a>]</span></span></li><li>Sudharshan S., and R. Venkatesh Babu, "Super resolution via
sparse representation in L1 framework", in ICVGIP 2012. <span lang="EN-US"><span class="SpellE">[<a href="http://www.serc.iisc.ernet.in/~venky/Papers/Image_Video_SR.pdf">pdf</a>][<a href="http://val.serc.iisc.ernet.in:8080/project/SR-v1.zip">Matlab code</a>]<br>
</span></span></li><li>S. Avinash and R. Venkatesh Babu, "FeatureMatch: An Efficient Low Dimensional PatchMatch Technique", in ICVGIP 2012. <span lang="EN-US"><span class="SpellE">[<a href="http://www.serc.iisc.ernet.in/~venky/Papers/FeatureMatch.pdf">pdf</a>]</span></span><span lang="EN-US"><span class="SpellE"></span></span><span lang="EN-US"><span class="SpellE"></span></span><span lang="EN-US"><span class="SpellE"></span></span><span lang="EN-US"><span class="SpellE">[<a href="http://val.serc.iisc.ernet.in/Codes/FM_Code.zip">Matlab <span style="text-decoration: underline;">code</span></a>]</span></span><span lang="EN-US"><span class="SpellE"> [<a href="http://www.serc.iisc.ernet.in/%7Evenky/ResulsForRandomPairs.html">results</a>] </span></span>
</li><li>Naresh
Kumar M. S., Priti Parate
and R. Venkatesh Babu, Fragment-based Real-time Object Tracking: A
Sparse Representation Approach, in IEEE International Conference on
Image Processing (ICIP), pp. 433-436, Orlando, Florida, USA, 2012. <span lang="EN-US"><span class="SpellE">[<a href="http://www.serc.iisc.ernet.in/~venky/Papers/sparse_tracking_icip12.pdf">pdf</a>] </span></span><span lang="EN-US"><span class="SpellE">[<a href="http://www.serc.iisc.ernet.in/~venky/Papers/tracking_poster_icip12.jpg">poster</a>] </span></span><span lang="EN-US"><span class="SpellE">[<a href="http://www.serc.iisc.ernet.in/%7Evenky/tracking_results/">results</a>] </span></span><span lang="EN-US"><span class="SpellE"> </span></span><span lang="EN-US"><span class="SpellE">[<a href="http://www.serc.iisc.ernet.in/%7Evenky/tracking_code.zip">Matlab <span style="text-decoration: underline;">code</span></a>][<a href="http://www.serc.iisc.ernet.in/%7Evenky/videos.zip">Videos</a>]</span></span><span lang="EN-US"><span class="SpellE"></span></span>
</li><li>Neelam Sinha and R. Venkatesh Babu, Optic Disk Localization
using L1 minimization, in IEEE International Conference on Image
Processing (ICIP), pp. 2829-2832, Orlando, Florida, USA, 2012. <span lang="EN-US"><span class="SpellE">[<a href="http://www.serc.iisc.ernet.in/~venky/Papers/sparse_OD_detection_icip12.pdf">pdf</a>] </span></span> <span lang="EN-US"><span class="SpellE">[<a href="http://www.serc.iisc.ernet.in/%7Evenky/OD_results/">results</a>] [<a href="http://www.serc.iisc.ernet.in/%7Evenky/OD_detect_code.zip">Matlab code</a>]</span></span>
</li><li>Vennila
Megavannan, Bhuvnesh Agarwal and R. Venkatesh Babu, Human Action
Recognition Using Depth Maps, in International Conference on Signal
Processing and Communications (SPCOM), 2012. <span lang="EN-US"><span class="SpellE">[<a href="http://www.serc.iisc.ernet.in/~venky/Papers/kinect_action_recognition_spcom12.pdf">pdf</a>]</span></span>
</li><li>Neelam
Sinha and R. Venkatesh Babu, Sparse Representation for Optic Disk
Detection, in International Conference on Signal Processing and
Communications (SPCOM), 2012. <span lang="EN-US"><span class="SpellE">[<a href="http://www.serc.iisc.ernet.in/~venky/Papers/optic_disk_spcom12.pdf">pdf</a>]</span></span>
</li><li>S. Kartick, S. Suresh and R. Venkatesh Babu, <big><font size="2"><big>Meta-Cognitive Neuro Fuzzy Inference System for Human Emotion Recognition</big></font></big>, in IJCNN 2012.<br>
<span lang="EN-US"></span></li><li><span lang="EN-US">G. Krishna Vinay, Sk. M. Haque, R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu
and K.R.Ramakrishnan, Human Detection using Sparse Representation, in
IEEE International Conference on Acoustic Speech and Signal
Processing (ICASSP), pp. </span></span>1513 - 1516, <span lang="EN-US"><span class="SpellE">2012. [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/ICASSP12_paper.pdf">pdf</a>]<span style="font-family: Default Monospace,Courier New,Courier,monospace;"> </span></span></span><br>
<span lang="EN-US"></span></li><li><span lang="EN-US">R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span> and
S. Suresh</span>, Fully Complex-valued ELM Classifiers for Human Action Recognition, in IJCNN 2011, pp. 2803-2308. [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/rvb_ijcnn11.pdf">pdf</a>]<br>
<span lang="EN-US"><span class="SpellE"></span></span></li><li><span lang="EN-US"><span class="SpellE">Chhabi</span> Nigam, R. <span class="SpellE">Venkatesh</span>
<span class="SpellE">Babu</span>, S. Kumar Raja and K. R. <span class="SpellE">Ramakrishnan</span>,
Feature Fusion for Robust Object Tracking with Fragmented Particles, in
ICDSC
2007. [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/rvb_icdsc07.pdf">pdf</a>]<br>
</span></li><li><span lang="EN-US"><span class="SpellE">Jaideep</span> <span class="SpellE">Jeykar</span>, R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span> and
K. R. <span class="SpellE">Ramakrishnan</span>, Robust Object Tracking
Using Local Kernels
and Background Information, in ICIP 2007.<o:p> [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/rvb_icip07.pdf">pdf</a>]</o:p></span></li><li><span lang="EN-US">R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span>,
S. Suresh and A. <span class="SpellE">Makur</span>, Robust Object
Tracking with Radial Basis Function
Networks, in IEEE International Conference on Acoustics, Speech, and
Signal
Processing (ICASSP) , <span class="SpellE">vol</span> 1, pp.
937-940, 2007. [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/rvb_icassp07.pdf">pdf</a>]<br>
</span></li><li><span lang="EN-US">R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span>
and A. <span class="SpellE">Makur</span>, Kernel-based Spatial-Color
Modeling for Fast Moving
Object Tracking, in IEEE International Conference on Acoustics, Speech,
and
Signal Processing (ICASSP), vol. 1, pp. 901-904, 2007.<o:p> [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/rvb_icassp07a.pdf">pdf</a>]</o:p></span></li><li><span lang="EN-US">R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span>
and S. Suresh, GAP-RBF
based NR Image Quality Measurement for JPEG coded Images, in the
proceedings of
the 5<sup>th</sup> Indian Conference on Computer Vision Graphics and
Image
Processing (ICVGIP), LNCS-4338, pp. 718-727, 2006. <br>
</span></li><li><span lang="EN-US">R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span>
and <span class="SpellE">Anamitra</span> <span class="SpellE">Makur</span>,
Object-based
Surveillance Video Compression using Foreground Motion Compensation, in
the
Proceedings of the 9th International Conference on Control, Automation,
Robotics and Vision (ICARCV), pp. 458-463, 2006.<o:p> [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/rvb_icarcv06.pdf">pdf</a>]</o:p></span></li><li><span lang="EN-US">S. Suresh, R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span> and N. <span class="SpellE">Sundararajan</span>,
Image Quality Measurement Using Extreme
Sparse Learning Machine, in the Proceedings of the 9th International
Conference
on Control, Automation, Robotics and Vision (ICARCV), pp. 560-565, 2006.</span></li><li><span lang="EN-US">R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span>,
Patrick Perez and
Patrick <span class="SpellE">Bouthemy</span>, Kernel-Based Robust
Tracking for
Objects undergoing Occlusion, in proceedings of Asian Conference on
Computer
Vision (ACCV), LNCS-3852, pp. 353-362, 2006.<o:p><br>
</o:p></span></li><li><span lang="EN-US">R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span>,
Patrick Perez and
Patrick <span class="SpellE">Bouthemy</span>, Robust Tracking with
Motion
Estimation and Kernel-Based Color Modeling, in IEEE International
Conference on
Image Processing (ICIP 2005), Vol. 1, pp. 717-720, <span class="SpellE">Genova</span>, Italy, 2005. [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/rvb_icip05b.pdf">pdf</a>]<br>
</span></li><li><span lang="EN-US">R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span>
and Andrew <span class="SpellE">Perkis</span>, An HVS-Based
No-Reference Perceptual Quality
Assessment of JPEG Coded Images Using Neural Networks, in IEEE
International
Conference on Image Processing (ICIP 2005), Vol. 1, pp. 433-436, <span class="SpellE">Genova</span>, Italy, 2005.<o:p> [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/rvb_icip05a.pdf">pdf</a>] </o:p></span></li><li><span lang="EN-US">R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span>,
<span class="SpellE">Ajit</span> <span class="SpellE">Bopardikar</span>,
Andrew <span class="SpellE">Perkis</span> and Odd <span class="SpellE">Inge</span>
<span class="SpellE">Hillestad</span>, No-Reference Metrics for Video
Streaming
Applications, in the 14th International Packet Video Workshop
(PV-2004),
December 13-14, University of California, Irvine, 2004. [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/rvb_pv2004.pdf">pdf</a>]<br>
</span></li><li><span lang="EN-US">R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span>,
<span class="SpellE">Ajit</span> <span class="SpellE">Bopardikar</span>
and Andrew <span class="SpellE">Perkis</span>, A Perceptual No-
Reference <span class="SpellE">Blockiness</span>
Metric for JPEG Images, in 4<sup>th</sup> Indian Conference on Computer
Vision,
Graphics and Image Processing (ICVGIP 2004), December 16 - 18, Kolkata,
India,
2004.<o:p> [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/rvb_icvgip04.pdf">pdf</a>] [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/image_quality.m">Matlab Code</a>]<br>
</o:p></span></li><li><span lang="EN-US">R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span>,
<span class="SpellE">Ajit</span> <span class="SpellE">Bopardikar</span>,
Andrew <span class="SpellE">Perkis</span> and Odd <span class="SpellE">Inge</span>
<span class="SpellE">Hillestad</span>, A No-Reference Measure for the
effect of
Packet-loss in Video Streaming Over IP, in the Proceedings of the 11<sup>th</sup>
International Workshop on Systems, Signals and Image Processing,
(IWSSIP 04),
September 13-15, Poznan, Poland, 2004.</span></li><li><span lang="EN-US">Andrew <span class="SpellE">Perkis</span>, R. <span class="SpellE">Venkatesh</span>
<span class="SpellE">Babu</span> and <span class="SpellE">Peder</span>
<span class="SpellE">Drege</span>, A <span class="SpellE">QoS</span>-Driven
UMA Viewer in
MPEG-21 Framework, in the Proceedings of the 12<sup>th</sup> European
Signal
Processing Conference (EUSIPCO-2004), September 6-10, Vienna, Austria,
2004.<o:p> </o:p></span></li><li><span lang="EN-US">K. <span class="SpellE">Kalapriya</span>, R. <span class="SpellE">Venkatesh</span>
<span class="SpellE">Babu</span> and S. <span class="SpellE">Nandhy</span>
, Streaming
Stored Playback video over a peer-to-peer network, in the Proceedings
of the
IEEE International Conference on Communication (ICC-2004) , Vol. 3, pp.
1298-1302</span><span style="font-family: "Arial","sans-serif";" lang="EN-US">, </span><span lang="EN-US">June 20 - 24, Paris, France,
2004. [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/rvb_icc04.pdf">pdf</a>]<br>
</span></li><li><span lang="EN-US">Odd <span class="SpellE">Inge</span> <span class="SpellE">Hillestad</span>,
R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span>,
<span class="SpellE">Ajit</span> <span class="SpellE">Bopardikar</span>
and Andrew <span class="SpellE">Perkis</span>, Video Quality
Evaluation for UMA, in the
Proceedings of the International Workshop on Image Analysis for
Multimedia
Interactive Services (WIAMIS-2004), April 21-23, Lisbon, 2004.<o:p> </o:p></span></li><li><span lang="EN-US">R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span>
and K. R. <span class="SpellE">Ramakrishnan</span>, Compressed Domain
Human Action Recognition
using Motion History Information, In the Proceedings of the IEEE
International
Conference on Image Processing (ICIP-2003), vol. 3, pp. 321-324,</span><span style="font-family: "Arial","sans-serif";" lang="EN-US"> </span><span lang="EN-US">September
14 - 17, Barcelona, Spain, 2003. [<a href="http://www.serc.iisc.ernet.in/~venky/Papers/rvb_icip03.pdf">pdf</a>]<br>
</span></li><li><span lang="EN-US">R. <span class="SpellE">Venkatesh</span> <span class="SpellE">Babu</span>
and K. R. <span class="SpellE">Ramakrishnan</span>, Background Sprite
Generation Using MPEG
Motion Vectors, In Proceedings of the 3<sup>rd</sup> Indian Conference
on
Computer Vision, Graphics and Image Processing (ICVGIP 2002). <span class="GramE">pp. 7-12, December 16 - 18, <span class="SpellE">Ahmedabad</span>,
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