57 citations · 226 across the 36 of their papers we have counts for
10 papers · 1 filter
Classification-Then-Grounding: Reformulating Video Scene Graphs as Temporal Bipartite Graphs
Kaifeng Gao, Long Chen, Yulei Niu +2
Today's VidSGG models are all proposal-based methods, i.e., they first generate numerous paired subject-object snippets as proposals, and then conduct predicate classification for…
Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering
Long Chen, Yuhang Zheng, Yulei Niu +2
Today's VQA models still tend to capture superficial linguistic correlations in the training set and fail to generalize to the test set with different QA distributions. To reduce t…
Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation
Jiahui Li, Kun Kuang, Lin Li +4
Deep neural networks have demonstrated remarkable performance in many data-driven and prediction-oriented applications, and sometimes even perform better than humans. However, thei…
Video Relation Detection via Tracklet based Visual Transformer
Kaifeng Gao, Long Chen, Yifeng Huang +1
Video Visual Relation Detection (VidVRD), has received significant attention of our community over recent years. In this paper, we apply the state-of-the-art video object tracklet…
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning
Jiahui Li, Kun Kuang, Baoxiang Wang +4
Centralized Training with Decentralized Execution (CTDE) has been a popular paradigm in cooperative Multi-Agent Reinforcement Learning (MARL) settings and is widely used in many re…
Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Survey
Feifei Shao, Long Chen, Jian Shao +5
Weakly-Supervised Object Detection (WSOD) and Localization (WSOL), i.e., detecting multiple and single instances with bounding boxes in an image using image-level labels, are long-…