Recent Research Highlights

	Deceptive-NeRF/3DGS: Diffusion-Generated Pseudo-Observations for High-Quality Sparse-View Reconstruction, ECCV 2024 Xinhang Liu, Jiaben Chen, Shiu-hong Kao, Yu-Wing Tai, Chi-Keung Tang Very High Quality 3D Reconstruction from Sparse Inputs [Paper] [Project]
	DragVideo: Interactive Drag-style Video Editing, ECCV 2024 Yufan Deng*, Ruida Wang*, Yuhao Zhang*, Yu-Wing Tai, Chi-Keung Tang (* denotes equal contribution) One of the first drag editing methods for video [Paper] [Project]
	Distill Gold from Massive Ores: Efficient Dataset Distillation via Critical Samples Selection, ECCV 2024 Yue Xu, Yong-Lu Li*, Kaitong Cui, Ziyu Wang, Cewu Lu, Yu-Wing Tai, Chi Keung Tang Efficient dataset distillation for very large datasets. [Paper] [Project]
	Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-aware Spatio-Temporal Sampling, CVPR 2024 Xinhang Liu, Yu-Wing Tai, Chi-Keung Tang, Pedro Miraldo, Suhas Lohit, Moitreya Chatterjee CVPR Highlight, 2.8% of 11532 [Paper] [Project] [Youtube]
	SANeRF-HQ: Segment Anything for NeRF in High Quality, CVPR 2024 Yichen Liu, Benran Hu, Chi-Keung Tang, Yu-Wing Tai Segment Anything in High Quality for NeRF [Paper] [Project] [Youtube]
	C3Net: Compound Conditioned ControlNet for Multimodal Content Generation, CVPR 2024 Juntao Zhang, Yuehuai Liu, Yu-Wing Tai, Chi-Keung Tang Multimodal (Text, Image, Audio) Content Generation from Multimodal Compound Conditioned Input [Paper] [Project]
	Segment Anything in High Quality, NeurIPS 2023 Lei Ke*, Mingqiao Ye*, Martin Danelljan, Yifan Liu, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu (* denotes equal contribution) HQ-SAM receives 2000+ Github stars in one month. [Paper] [Project]
	FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models, NeurIPS 2023 Hao Zhang*, Tianyuan Dai*, Yanbo Xu*, Yu-Wing Tai, Chi-Keung Tang (* denotes equal contribution) 3D faces from a single image with prompt editable and relighting ability. [Paper] [Project][Youtube]
	BiMatting: Efficient Video Matting via Binarization, NeurIPS 2023 Haotong Qin*, Lei Ke*, Xudong Ma, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Xianglong Liu, Fisher Yu (* denotes equal contribution) An accurate and efficient video matting model using binarization. [Paper] [Project]
	Instance Neural Radiacne Field, ICCV 2023 Yichen Liu*, Benran Hu*, Junkai Huang*, Yu-Wing Tai, Chi-Keung Tang (* denotes equal contribution) This is the first instance segmentation framework for NeRF. [Paper] [Project][Youtube]
	Cascade-DETR: Delving into High-Quality Universal Object Detection, ICCV 2023 Mingqiao Ye*, Lei Ke*, Siyuan Li, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu (* denotes equal contribution) Promoting DETR's detection accuracy in universal domains via cascade attention. [Paper] [Project]
	EgoPCA: A New Framework for Egocentric Hand-Object Interaction Understanding, ICCV 2023 Yue Xu, Yong-Lu Li, Zhemin Huang, Michael Xu LIU, Cewu Lu, Yu-Wing Tai, Chi Keung Tang We contribute comprehensive pre-train sets, balanced test sets and a new baseline for Egocentric Hand-Object Interaction (Ego-HOI). [Paper] [Project]
	NeRF-RPN: A general framework for object detection in NeRFs, CVPR 2023 Benran Hu*, Junkai Huang*, Yichen Liu*, Yu-Wing Tai, Chi-Keung Tang (* denotes equal contribution) This is the first object detection framework for NeRF. [Paper] [Project][Youtube]
	Mask-Free Video Instance Segmentation, CVPR 2023 Lei Ke, Martin Danelljan, Henghui Ding, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu Removing video and image mask annotation necessity for highly accurate VIS. [Paper] [Project]