Lab seminar every thursday at 16:00.
| Date | Paper & Link | Presenter | Slide |
|---|---|---|---|
| 09/23 | An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale | Dajin Han | Click |
| 09/30 | A Battle of Network Structures: An Empirical Study of CNN, Transformer, and MLP | Dongjin Kim | Click |
| 10/07 | Bundled Camera Paths for Video Stabilization | Eunwoo Im | Click |
| 10/21 | SlowFast Networks for Video Recognition | Jihun Kim | Click |
| 11/04 | Reanalysis Models | Dajin Han | Click |
| 11/11 | NeRF | Dongjin Kim | Click |
| 11/18 | 3D Human Pose Estimation with Spatial and Temporal Transformers | Jihoon Nam | Click |
| 11/25 | Tackling the Ill-Posedness of Super-Resolution Through Adaptive Target Generation | Eunwoo Im | Click |
| 12/02 | Bi-Real Net | Jihun Kim | Click |
| 12/10 | Introduction to Normalizing Flows | Dongjin Kim | Click |
| 12/30 | Masked Autoencoders Are Scalable Vision Learners | Jihoon Nam | Click |
| 01/06 | Complex Valued Neural Networks | Eunwoo Im | Click |
| 01/14 | Swin Transformer | Jihun Kim | Click |
Lab seminar every thursday at 16:00.
| Date | Paper & Link | Presenter | Slide |
|---|---|---|---|
| 07.08 | GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution | Seobin Park | Click |
| 07.08 | Positional Encoding as Spatial Inductive Bias in GANs | Dajin Han | Click |
| 07.15 | Self-Supervised Scene De-occlusion | Seunghwan Lee | Click |
| 07.22 | Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation | Kyeonga Kim | Click |
| 07.29 | Learning to Track Instances without Video Annotations | Dongjin Kim | Click |
| 08.05 | Robust Reference-based Super-Resolution via C2-Matching | Donggoo Jung | Click |
| 08.05 | VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models | Daehyun Kim | Click |
| 08.12 | TSIT: A Simple and Versatile Framework for Image-to-Image Translation | Eunhye Lee | Click |
| 08.12 | Side-Aware Boundary Localization for More Precise Object Detection | Jaehong Kim | Click |
| 08.19 | Self-Supervised Viewpoint Learning From Image Collections | Jisu Kim | Click |
| 08.19 | Incorporating Convolution Designs into Visual Transformers | Sujin Kim | Click |
Lab study every wednesday at 16:30.
| Topic | Paper & Link | Remark | Presenter | Date | Slide |
|---|---|---|---|---|---|
| Normalizing Flow | Glow: Generative Flow with Invertible 1×1 Convolutions | NeurIPS18 | Dajin Han | 03.24 | Click |
| Metric based meta learning | Matching Networks for One Shot Learning Prototypical Networks for Few-shot Learning Learning to Compare: Relation Network for Few-Shot Learning |
NeurIPS16 NeurIPS17 CVPR18 |
DG.Jung | 03.31 | Click |
| Keypoints and Deformating | First Order Motion Model for Image Animation | NeurIPS19 | DH.Kim | 04.07 | Click |
| Object Detection | Detection Overview | DJ.Kim | 04.14 | Click | |
| RNN, Encoder Decoder, Transformer | RNN Overview | Dajin Han | 04.28 | Click | |
| Image Inpainting | EdgeConnect : Generative Image Inpainting with Adversarial Edge Learning | CVPR2019 | Kyeonga Kim | 05.12 | Click |
| Super Resolution | Image Super-Resolution: On its technical detail and subtasks | Seobin Park | 05.20 | Click | |
| Super Resolution | RCAN : Image Super-Resolution Using Very Deep Residual Channel Attention Networks | ECCV2018 | Dajin Han | 05.26 | Click |
| Object Detection | Focal Loss for Dense Object Detection | CVPR2017 | DJ.Kim | 06.23 | Click |
| Self-Attention | Stand-Alone Self-Attention in Vision Models | NIPS 2019 | Kyeonga Kim | 06.30 | Click |
Lab seminar every wednesday at 15:00.
| Topic | Paper & Link | Remark | Presenter | Date | Slide |
|---|---|---|---|---|---|
| Graph Neural Networks | 왼쪽 링크에서 흥미로운 논문 골라서 공부해주세요 :) | ||||
| Semi-Supervised Classification with Graph Convolutional Networks | ICLR 2017 | Jinsu Yoo | 01.12 | Click | |
| Situation Recognition with Graph Neural Networks | ICCV 2017 | JS.Kim | 01.15 | Click | |
| Graph U-Nets | ICML19 | EH.Lee | 01.19 | Click | |
| contextual loss | The Contextual Loss for Image Transformation with Non-Aligned Data | ECCV18 oral | SH.Lee | 01.22 | Click |
| Controllable Person Image Synthesis with Attribute-Decomposed GAN | CVPR20 oral | Ali | 01.26 | Click | |
| Cross-domain Correspondence Learning for Exemplar-based Image Translation | CVPR20 oral | JH.Kim | 01.29 | Click | |
| normalizing flow | Glow: Generative Flow with Invertible 1×1 Convolutions | NeurIPS18 | JM.Kim | 02.02 | Click |
| SRFlow: Learning the Super-Resolution Space with Normalizing Flow | ECCV20 Spotlight | Seobin Park | 02.05 | Click | |
| Uniformed students: student-teacher anomaly detection with discriminative latent embeddings | CVPR 2020 | Kyeonga Kim | 02.09 | Click |