41 citations · 53 across the 6 of their papers we have counts for
6 papers
6D-Diff: A Keypoint Diffusion Framework for 6D Object Pose Estimation
Li Xu, Haoxuan Qu, Yujun Cai +1
Estimating the 6D object pose from a single RGB image often involves noise and indeterminacy due to challenges such as occlusions and cluttered backgrounds. Meanwhile, diffusion mo…
Trustworthy Large Models in Vision: A Survey
Ziyan Guo, Li Xu, Jun Liu
The rapid progress of Large Models (LMs) has recently revolutionized various fields of deep learning with remarkable grades, ranging from Natural Language Processing (NLP) to Compu…
Meta Compositional Referring Expression Segmentation
Li Xu, Mark He Huang, Xindi Shang +3
Referring expression segmentation aims to segment an object described by a language expression from an image. Despite the recent progress on this task, existing models tackling thi…
Heatmap Distribution Matching for Human Pose Estimation
Haoxuan Qu, Li Xu, Yujun Cai +2
For tackling the task of 2D human pose estimation, the great majority of the recent methods regard this task as a heatmap estimation problem, and optimize the heatmap prediction us…
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation
Li Xu, Haoxuan Qu, Jason Kuen +2
Video scene graph generation (VidSGG) aims to parse the video content into scene graphs, which involves modeling the spatio-temporal contextual information in the video. However, d…
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu, Hossein Rahmani, Li Xu +2
In contrast to batch learning where all training data is available at once, continual learning represents a family of methods that accumulate knowledge and learn continuously with…