activity
20192021
most citedLPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering

50 citations · 80 across the 5 of their papers we have counts for

collaborators

10 papers

cs.CV202150 cited

LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering

Zujie Liang, Haifeng Hu, Jiaying Zhu

Most existing Visual Question Answering (VQA) systems tend to overly rely on language bias and hence fail to reason from the visual clue. To address this issue, we propose a novel…

cs.AI2020

Communicative Message Passing for Inductive Relation Reasoning

Sijie Mai, Shuangjia Zheng, Yuedong Yang +1

Relation prediction for knowledge graphs aims at predicting missing relationships between entities. Despite the importance of inductive relation prediction, most previous works are…

cs.CV2020

Universal Multi-Source Domain Adaptation

Yueming Yin, Zhen Yang, Haifeng Hu +1

Unsupervised domain adaptation enables intelligent models to transfer knowledge from a labeled source domain to a similar but unlabeled target domain. Recent study reveals that kno…

cs.AI202026 cited

Analyzing Unaligned Multimodal Sequence via Graph Convolution and Graph Pooling Fusion

Sijie Mai, Songlong Xing, Jiaxuan He +2

In this paper, we study the task of multimodal sequence analysis which aims to draw inferences from visual, language and acoustic sequences. A majority of existing works generally…

cs.AI2020

Unveiling Class-Labeling Structure for Universal Domain Adaptation

Yueming Yin, Zhen Yang, Xiaofu Wu +1

As a more practical setting for unsupervised domain adaptation, Universal Domain Adaptation (UDA) is recently introduced, where the target label set is unknown. One of the big chal…

cs.RO20204 cited

Learning-Based Safety-Stability-Driven Control for Safety-Critical Systems under Model Uncertainties

Lei Zheng, Jiesen Pan, Rui Yang +2

Safety and tracking stability are crucial for safety-critical systems such as self-driving cars, autonomous mobile robots, industrial manipulators. To efficiently control safety-cr…