152 citations · 176 across the 7 of their papers we have counts for
8 papers
Boundary Voting Network for Ambiguity-Aware Timestamp-Supervised Action Segmentation
Runzhong Zhang, Yueqi Duan, Yang Chen +4
Timestamp-supervised action segmentation aims to segment and classify actions in untrimmed videos with a random frame annotated per action. Precisely localizing action boundaries f…
HOI-aware Adaptive Network for Weakly-supervised Action Segmentation
Runzhong Zhang, Suchen Wang, Yueqi Duan +3
In this paper, we propose an HOI-aware adaptive network named AdaAct for weakly-supervised action segmentation. Most existing methods learn a fixed network to predict the action of…
Language-driven Description Generation and Common Sense Reasoning for Video Action Recognition
Xiaodan Hu, Chuhang Zou, Suchen Wang +2
Recent video action recognition methods have shown excellent performance by adapting large-scale pre-trained language-image models to the video domain. However, language models con…
: A medical image annotation framework based on large vision model
Chenglong Wang, Dexuan Li, Sucheng Wang +4
Recently, large vision model, Segment Anything Model (SAM), has revolutionized the computer vision field, especially for image segmentation. SAM presented a new promptable segmenta…
Top-Down Framework for Weakly-supervised Grounded Image Captioning
Chen Cai, Suchen Wang, Kim-hui Yap +1
Weakly-supervised grounded image captioning (WSGIC) aims to generate the caption and ground (localize) predicted object words in the input image without using bounding box supervis…
POAR: Towards Open Vocabulary Pedestrian Attribute Recognition
Yue Zhang, Suchen Wang, Shichao Kan +3
Pedestrian attribute recognition (PAR) aims to predict the attributes of a target pedestrian in a surveillance system. Existing methods address the PAR problem by training a multi-…
VLT: Vision-Language Transformer and Query Generation for Referring Segmentation
Henghui Ding, Chang Liu, Suchen Wang +1
We propose a Vision-Language Transformer (VLT) framework for referring segmentation to facilitate deep interactions among multi-modal information and enhance the holistic understan…
Vision-Language Transformer and Query Generation for Referring Segmentation
Henghui Ding, Chang Liu, Suchen Wang +1
In this work, we address the challenging task of referring segmentation. The query expression in referring segmentation typically indicates the target object by describing its rela…