2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2024
GPT-Connect: Interaction between Text-Driven Human Motion Generator and 3D Scenes in a Training-free Manner
Haoxuan Qu, Ziyan Guo, Jun Liu
Recently, while text-driven human motion generation has received massive research attention, most existing text-driven motion generators are generally only designed to generate mot…
cs.CV2024★ 1 cited
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…
cs.CV2022★ 2 cited
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…