4k citations · 4.5k across the 21 of their papers we have counts for
21 papers
Spatial-Temporal Knowledge-Embedded Transformer for Video Scene Graph Generation
Tao Pu, Tianshui Chen, Hefeng Wu +2
Video scene graph generation (VidSGG) aims to identify objects in visual scenes and infer their relationships for a given video. It requires not only a comprehensive understanding…
Learning to In-paint: Domain Adaptive Shape Completion for 3D Organ Segmentation
Mingjin Chen, Yongkang He, Yongyi Lu +1
We aim at incorporating explicit shape information into current 3D organ segmentation models. Different from previous works, we formulate shape learning as an in-painting task, whi…
Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation
Yongkang He, Mingjin Chen, Zhijing Yang +1
This paper seeks to address the dense labeling problems where a significant fraction of the dataset can be pruned without sacrificing much accuracy. We observe that, on standard me…
Open-World Pose Transfer via Sequential Test-Time Adaption
Junyang Chen, Xiaoyu Xian, Zhijing Yang +5
Pose transfer aims to transfer a given person into a specified posture, has recently attracted considerable attention. A typical pose transfer framework usually employs representat…
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
Jie Liu, Yixiao Zhang, Jie-Neng Chen +7
An increasing number of public datasets have shown a marked impact on automated organ segmentation and tumor detection. However, due to the small size and partially labeled problem…
Making Your First Choice: To Address Cold Start Problem in Vision Active Learning
Liangyu Chen, Yutong Bai, Siyu Huang +4
Active learning promises to improve annotation efficiency by iteratively selecting the most important data to be annotated first. However, we uncover a striking contradiction to th…