53 citations · 85 across the 32 of their papers we have counts for
5 papers · 1 filter
Towards Dynamic Message Passing on Graphs
Junshu Sun, Chenxue Yang, Xiangyang Ji +2
Message passing plays a vital role in graph neural networks (GNNs) for effective feature learning. However, the over-reliance on input topology diminishes the efficacy of message p…
Expanding Sparse Tuning for Low Memory Usage
Shufan Shen, Junshu Sun, Xiangyang Ji +2
Parameter-efficient fine-tuning (PEFT) is an effective method for adapting pre-trained vision models to downstream tasks by tuning a small subset of parameters. Among PEFT methods,…
Prompting Video-Language Foundation Models with Domain-specific Fine-grained Heuristics for Video Question Answering
Ting Yu, Kunhao Fu, Shuhui Wang +2
Video Question Answering (VideoQA) represents a crucial intersection between video understanding and language processing, requiring both discriminative unimodal comprehension and s…
Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments
Churan Zhi, Junbao Zhuo, Shuhui Wang
In this paper, we address unsupervised domain adaptation under noisy environments, which is more challenging and practical than traditional domain adaptation. In this scenario, the…
Bias-Conflict Sample Synthesis and Adversarial Removal Debias Strategy for Temporal Sentence Grounding in Video
Zhaobo Qi, Yibo Yuan, Xiaowen Ruan +3
Temporal Sentence Grounding in Video (TSGV) is troubled by dataset bias issue, which is caused by the uneven temporal distribution of the target moments for samples with similar se…