activity
20182026
most citedACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization

44 citations · 69 across the 21 of their papers we have counts for

collaborators
Showing 2024Show all

7 papers · 1 filter

cs.CV2024

GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos

Zhiyuan Chen, Fan Lu, Guo Yu +5

Tracking the 6DoF pose of unknown objects in monocular RGB video sequences is crucial for robotic manipulation. However, existing approaches typically rely on accurate depth inform…

cs.CV2024

HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation

Tianpei Zou, Sanqing Qu, Zhijun Li +4

3D point cloud segmentation has received significant interest for its growing applications. However, the generalization ability of models suffers in dynamic scenarios due to the di…

cs.CV2024

ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation

Yong Wu, Yang Wang, Sanqing Qu +2

We consider the problem of user-adaptive 3D gaze estimation. The performance of person-independent gaze estimation is limited due to interpersonal anatomical differences. Our goal…

cs.CV2024

MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection

Boyang Peng, Sanqing Qu, Yong Wu +5

Deep learning has achieved remarkable progress in various applications, heightening the importance of safeguarding the intellectual property (IP) of well-trained models. It entails…

cs.CV2024★ 1 cited

LEAD: Learning Decomposition for Source-free Universal Domain Adaptation

Sanqing Qu, Tianpei Zou, Lianghua He +4

Universal Domain Adaptation (UniDA) targets knowledge transfer in the presence of both covariate and label shifts. Recently, Source-free Universal Domain Adaptation (SF-UniDA) has…

cs.CV2024★ 1 cited

GLC++: Source-Free Universal Domain Adaptation through Global-Local Clustering and Contrastive Affinity Learning

Sanqing Qu, Tianpei Zou, Florian Röhrbein +4

Deep neural networks often exhibit sub-optimal performance under covariate and category shifts. Source-Free Domain Adaptation (SFDA) presents a promising solution to this dilemma,…

cs.CV2024

PCDepth: Pattern-based Complementary Learning for Monocular Depth Estimation by Best of Both Worlds

Haotian Liu, Sanqing Qu, Fan Lu +4

Event cameras can record scene dynamics with high temporal resolution, providing rich scene details for monocular depth estimation (MDE) even at low-level illumination. Therefore,…