50 citations · 102 across the 10 of their papers we have counts for
10 papers
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…
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…
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…
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…
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…
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…
Safe Learning-based Tracking Control for Quadrotors under Wind Disturbances
Lei Zheng, Rui Yang, Jiesen Pan +1
Enforcing safety on precise trajectory tracking is critical for aerial robotics subject to wind disturbances. In this paper, we present a learning-based safety-preserving cascaded…
Adaptive Interaction Modeling via Graph Operations Search
Haoxin Li, Wei-Shi Zheng, Yu Tao +2
Interaction modeling is important for video action analysis. Recently, several works design specific structures to model interactions in videos. However, their structures are manua…
Metric-Learning-Assisted Domain Adaptation
Yueming Yin, Zhen Yang, Haifeng Hu +1
Domain alignment (DA) has been widely used in unsupervised domain adaptation. Many existing DA methods assume that a low source risk, together with the alignment of distributions o…
Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion
Sijie Mai, Haifeng Hu, Songlong Xing
Learning joint embedding space for various modalities is of vital importance for multimodal fusion. Mainstream modality fusion approaches fail to achieve this goal, leaving a modal…