KuiJiang (江奎)/Huawei Technologies, Cloud BU & (NERCMS), Wuhan University
kuijiang@whu.edu.cn / kuijiang_1994@163.com
National Engineering Research Center for Multimedia Software (NERCMS), Wuhan University, Luojia Hill, Wuchang District, Wuhan 430072, Hubei, China
I have graduated from the (NERCMS), school of computer science, Wuhan University in June 2019 with a master's degree in computer technology and in June 2022 with a Ph.D degree in computer science and technology. I am currently a Senior Engineer at the Cloud BU, Huawei, China. My research interests focus on image/video reconstruction, image deraining/dehazing, low-light enhancement, and face hallucination.
- M Hu, K Jiang, Z Nie, Z Wang, Store and Fetch Immediately: Everything Is All You Need for Space-Time Video Super-Resolution, AAAI, 2023, code(Co-first author)
- M Hu, K Jiang, L Liao, Z Nie, J Xiao, Z Wang, Progressive spatial-temporal collaborative network for video frame interpolation, ACM MM, 2022, code(Co-first author)
- M Hu, K Jiang, Z Nie, Z Wang, You Only Align Once: Bidirectional Interaction for Spatial-Temporal Video Super-Resolution, ACM MM, 2022, code(Co-first author)
- M Hu, K Jiang, L Liao, J Xiao, J Jiang, Z Wang, Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning, IEEE CVPR, 2022, code(Co-first author)
- P Yi, Z Wang, K Jiang, J Jiang, T Lu, X Tian, J Ma, Omniscient Video Super-Resolution, IEEE ICCV, 2021, code
- P Yi, Z Wang, K Jiang, J Jiang, T Lu, J Ma, A Progressive Fusion Generative Adversarial Network for Realistic and Consistent Video Super-Resolution, IEEE T-PAMI, 2020, code
- K Jiang, Z Wang, P Yi, J Jiang, Hierarchical Dense Recursive Network for Image Super-Resolution, PR, 2020
- Z Wang, K Jiang, P Yi, Z Han, Z He, Ultra-dense GAN for satellite imagery super-resolution, Neurocomputing, 2020
- P Yi, Z Wang, K Jiang, Z Shao, J Ma, Multi-temporal ultra dense memory network for video super-resolution, IEEE T-CSVT, 2020
- P Yi, Z Wang, K Jiang, J Jiang, J Ma, Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations, ICCV, 2019, code
- Gu S, Danelljan M, Timofte R, et al, Aim 2019 challenge on image extreme super-resolution: Methods and results, ICCV Workshop, 2019, AIM 2019 challenge on extreme image super-resolution-2th
- Nah S, Timofte R, Gu S, et al, NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results, CVPR Workshop, 2019, NTIRE challenge on video super-resolution-5th
- K Jiang, Z Wang, P Yi, J Jiang, G Wang, Z Han, T Lu, GAN-based multi-level mapping network for satellite imagery super-resolution, ICME, 2019
- K Jiang, Z Wang, P Yi, G Wang, T Lu, J Jiang, Edge-enhanced GAN for remote sensing image superresolution, IEEE T-GRS, 2019, code
- Z Wang, P Yi, K Jiang, J Jiang, Z Han, T Lu, J Ma, Multi-memory convolutional neural network for video super-resolution, IEEE T-IP, 2018
- K Jiang, Z Wang, P Yi, J Jiang, J Xiao, Y Yao, Deep distillation recursive network for remote sensing imagery super-resolution, Remote Sensing, 2018, code
- K Jiang, Z Wang, P Yi, J Jiang, A progressively enhanced network for video satellite imagery superresolution, IEEE SPL, 2018, code
- X Zhong, S Tu, X Ma, K Jiang, W Huang, Z Wang, Rainy WCity: A Real Rainfall Dataset with Diverse Conditions for Semantic Driving Scene Understanding, IJCAI, 2022
- X Chen, J Pan, K Jiang, Y Li, Y Huang, C Kong, L Dai, Unpaired Deep Image Deraining Using Dual Contrastive Learning, IEEE CVPR, 2022
- K Jiang, Z Wang, C Chen, P Yi, T Lu, C Lin, Degrade is Upgrade: Learning Degradation for Low-light Image Enhancement, AAAI, 2022
- K Jiang, Z Wang, C Chen, Z Wang, L Cui, C Lin, Magic ELF: Image Deraining Meets Association Learning and Transformer, ACMMM, 2022
- K Jiang, Z Wang, Z Wang, P Yi, J Jiang, J Xiao, C Lin, DANet: Image Deraining via Dynamic Association Learning, IJCAI, 2022
- K Jiang, Z Wang, P Yi, C Chen, Z Wang, X Wang, J Jiang, C Lin, Rain-free and Residue Hand-in-Hand: A Progressive Coupled Network for Real-Time Image Deraining, IEEE T-IP, 2021
- K Jiang, Z Wang, P Yi, C Chen, Z Wang, C Lin, PCNET: PROGRESSIVE COUPLED NETWORK FOR REAL-TIME IMAGE DERAINING, IEEE ICIP, 2021
- K Jiang, Z Wang, P Yi, C Chen, X Wang, J Jiang, Z Xiong, Multi-level Memory Compensation Network for Rain Removal via Divide-and-Conquer Strategy, IEEE JSTSP, 2021
- K Jiang, Z Wang, P Yi, C Chen, Z Han, T Lu, B Huang, J Jiang, Decomposition Makes Better Rain Removal: An Improved Attention-guided Deraining Network, IEEE T-CSVT, 2020, code
- K Jiang, Z Wang, P Yi, C Chen, B Huang, Y Luo, J Ma, J Jiang, Multi-Scale Progressive Fusion Network for Single Image Deraining, CVPR, 2020, code
- K Jiang, Z Wang, P Yi, C Chen, Y Yang, X Tian, J Jiang, Attention-Guided Deraining Network Via Stage-Wise Learning, ICASSP, 2020
- X Wang, J Chen, K Jiang, Z Han, W Ruan, Z Wang, C Liang, Single Image De-raining Via Clique Recursive Feedback Mechanism, Neurocomputing, 2020
- B Huang, Z Wang, K Jiang, Q Zou, X Tian, T Lu, Z Han, Joint Segmentation and Identification Feature Learning for Occlusion Face Recognition, IEEE T-NNLS, 2022
- B Huang, Z Wang, G Wang, K Jiang, Z Han, T Lu, C Liang, PLFace: Progressive learning for face recognition with mask bias, Pattern Recognition, 2022
- G Wang, Z Wang, K Jiang, B Huang, Z He, R Hu, Silicone mask face anti-spoofing detection based on visual saliency and facial motion, Neurocomputing, 2021
- K Jiang, Z Wang, P Yi, T Lu, J Jiang, Z Xiong, Dual-Path Deep Fusion Network for Face Image Hallucination, IEEE T-NNLS, 2020
- Z Wang, G Wang, B Huang, Z Xiong, Q Hong, H Wu, P Yi, K Jiang, N Wang, Y Pei, et al, Masked Face Recognition Dataset and Application, arXiv, 2020
- K Jiang, Z Wang, P Yi, G Wang, K Gu, J Jiang, ATMFN: Adaptive-threshold-based Multi-model Fusion Network for Compressed Face Hallucination, IEEE T-MM, 2020, code
- Y Luo, Y Ma, H O'Brien, K Jiang, V Kohli, S Maidelin, M Saeed, E Deng, Kawal Rhode, Edge‐enhancement densenet for X‐ray fluoroscopy image denoising in cardiac electrophysiology procedures, Medical Physics, 2022
- Y Luo, Sophie Majoe, K Jiang, H Qi, Kuberan Pushparajah, Kawal Rhode, Ultra-Dense Denoising Network: Application to Cardiac Catheter-based X-ray Procedures, IEEE T-BME, 2020
- Y Luo, Daniel Toth, K Jiang, Kuberan Pushparajah, Kawal Rhode, Ultra-DenseNet for Low-Dose X-Ray Image Denoising in Cardiac Catheter-Based Procedures, MICCAI 2019 STACOM, 2019
- X Zhong, Z Li, S Chen, K Jiang, C Chen, M Ye, Refined Semantic Enhancement towards Frequency Diffusion for Video Captioning, AAAI, 2023
- X Zhong, S Zhao, X Wang*, K Jiang, W Liu, W Huang, Z Wang, Unsupervised Vehicle search in the Wild: A New Benchmark, ACM MM, 2021
- G Wang, Z Wang, K Gu, K Jiang, Z He, Reference-free DIBR-synthesized Video Quality Metric in Spatial and Temporal Domains, IEEE T-CSVT, 2021
- SPC Member/Reviewer: ICME 2020-2021, BigMM 2020, AAAI 2021, IJCAI 2020-2021, CVPR 2021, ICCV 2021
- Reviewer: IEEE T-AI, T-GRS, T-MM, T-CYB, T-NNLS, T-CDS, T-CSVT, T-ETCI, T-BD, IEEE-Journal of Biomedical and Health Informatics, ACM TOMM, IEEE-CAA Journal of Automatica Sinica，IEEE Wireless Communications Magazine
Zixiang Xiong (Texas A&M University), Chia-Wen Lin (NTHU), Junjun Jiang (HIT), Chen Chen (UNC Charlotte)
Zhongyuan Wang (WHU)