3 citations · 5 across the 18 of their papers we have counts for
5 papers · 2 filters
Robust 3D Tracking with Quality-Aware Shape Completion
Jingwen Zhang, Zikun Zhou, Guangming Lu +2
3D single object tracking remains a challenging problem due to the sparsity and incompleteness of the point clouds. Existing algorithms attempt to address the challenges in two str…
STA-VPT: SpatioTemporally Aligned Visual Prompt Tuning
Wenjie Pei, Tongqi Xia, Qizhong Tan +3
Typical methods for visual prompt tuning follow the sequential modeling paradigm originating from NLP, learning a sequence of unordered parameterized tokens as visual prompts, whic…
DST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action Recognition
Wenjie Pei, Qizhong Tan, Guangming Lu +2
Adapting pre-trained image models to video modality has proven to be an effective strategy for robust few-shot action recognition. In this work, we explore the potential of adapter…
Hierarchical Contrastive Learning for Pattern-Generalizable Image Corruption Detection
Xin Feng, Yifeng Xu, Guangming Lu +1
Effective image restoration with large-size corruptions, such as blind image inpainting, entails precise detection of corruption region masks which remains extremely challenging du…
Scene-Generalizable Interactive Segmentation of Radiance Fields
Songlin Tang, Wenjie Pei, Xin Tao +3
Existing methods for interactive segmentation in radiance fields entail scene-specific optimization and thus cannot generalize across different scenes, which greatly limits their a…