Minhyeok Lee

I am an integrated M.S/Ph.D student of computer vision at Yonsei University. I am interested in exploring Computer Vision, Semantic Segmentation and Autonomous Vehicle.

To know more about me, please check out my CV or visit my Github.

news

Jun 17, 2024	🗽 Presented at CVPR 2024, Seattle, USA. [CVPR 2024] Guided Slot Attention for Unsupervised Video Object Segmentation [CVPR 2024] Dual Prototype Attention for Unsupervised Video Object Segmentation
Oct 23, 2023	🕍 Presented at ECCV 2022, Tel Aviv, Israel. [ECCV 2022] Superpixel Prototype Sampling Network for RGB-D Salient Object Detection [ECCV 2022] Tackling Background Distraction in Video Object Segmentation
Oct 2, 2023	🗼 Presented at ICCV 2023, Paris, France. [ICCV 2023] Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition [ICCV 2023] Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition
Jun 18, 2023	🍁 Presented at CVPR 2023, Vancouver, Canada. [CVPR 2023] DP-NeRF: Deblurred Neural Radiance Field With Physical Scene Priors
Jan 3, 2023	🏝️ Presented at WACV 2023, Waikoloa, Hawaii, USA. [WACV 2023] Unsupervised Video Object Segmentation via Prototype Memory Network [WACV 2023] Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation
Jan 4, 2022	🏝️ Presented at WACV 2022, Waikoloa, Hawaii, USA. [WACV 2022] Robust Lane Detection via Expanded Self-Attention [WACV 2022] Edgeconv with attention module for monocular depth estimation [WACV 2022] FastAno: Fast Anomaly Detection via Spatio-Temporal Patch Transformation
Jun 19, 2021	🗽 Presented at CVPR 2021, Nashville, USA. [CVPR 2021] Regularization Strategy for Point Cloud via Rigidly Mixed Samples