103 citations · 716 across the 66 of their papers we have counts for
15 papers · 1 filter
Rethinking the Two-Stage Framework for Grounded Situation Recognition
Meng Wei, Long Chen, Wei Ji +2
Grounded Situation Recognition (GSR), i.e., recognizing the salient activity (or verb) category in an image (e.g., buying) and detecting all corresponding semantic roles (e.g., age…
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…
Unified Group Fairness on Federated Learning
Fengda Zhang, Kun Kuang, Yuxuan Liu +6
Federated learning (FL) has emerged as an important machine learning paradigm where a global model is trained based on the private data from distributed clients. However, most of e…
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…
Natural Language Video Localization with Learnable Moment Proposals
Shaoning Xiao, Long Chen, Jian Shao +2
Given an untrimmed video and a natural language query, Natural Language Video Localization (NLVL) aims to identify the video moment described by the query. To address this task, ex…
On Pursuit of Designing Multi-modal Transformer for Video Grounding
Meng Cao, Long Chen, Mike Zheng Shou +2
Video grounding aims to localize the temporal segment corresponding to a sentence query from an untrimmed video. Almost all existing video grounding methods fall into two framework…