50 citations · 82 across the 12 of their papers we have counts for
12 papers
Knowing You at First Glance: Inferring Apparent Personality from Faces
Shuhuan Chen, Xiangyu Zhu, Weisong Zhao +3
Inferring apparent personality from facial images is important in social scenarios for embodied agents in human-robot interaction. Unlike inferring intrinsic personality traits via…
Multimodal Graph Network Modeling for Human-Object Interaction Detection with PDE Graph Diffusion
Wenxuan Ji, Haichao Shi, Xiao-Yu Zhang
Existing GNN-based Human-Object Interaction (HOI) detection methods rely on simple MLPs to fuse instance features and propagate information. However, this mechanism is largely empi…
AS-GCL: Asymmetric Spectral Augmentation on Graph Contrastive Learning
Ruyue Liu, Rong Yin, Yong Liu +4
Graph Contrastive Learning (GCL) has emerged as the foremost approach for self-supervised learning on graph-structured data. GCL reduces reliance on labeled data by learning robust…
Straighter Flow Matching via a Diffusion-Based Coupling Prior
Siyu Xing, Jie Cao, Huaibo Huang +2
Flow matching as a paradigm of generative model achieves notable success across various domains. However, existing methods use either multi-round training or knowledge within minib…
Learning Cross-modality Information Bottleneck Representation for Heterogeneous Person Re-Identification
Haichao Shi, Mandi Luo, Xiao-Yu Zhang +1
Visible-Infrared person re-identification (VI-ReID) is an important and challenging task in intelligent video surveillance. Existing methods mainly focus on learning a shared featu…
Rumor Detection with Diverse Counterfactual Evidence
Kaiwei Zhang, Junchi Yu, Haichao Shi +2
The growth in social media has exacerbated the threat of fake news to individuals and communities. This draws increasing attention to developing efficient and timely rumor detectio…
Action Shuffling for Weakly Supervised Temporal Localization
Xiao-Yu Zhang, Haichao Shi, Changsheng Li +1
Weakly supervised action localization is a challenging task with extensive applications, which aims to identify actions and the corresponding temporal intervals with only video-lev…
AdapNet: Adaptability Decomposing Encoder-Decoder Network for Weakly Supervised Action Recognition and Localization
Xiao-Yu Zhang, Changsheng Li, Haichao Shi +3
The point process is a solid framework to model sequential data, such as videos, by exploring the underlying relevance. As a challenging problem for high-level video understanding,…
Learning Transferable Self-attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision
Xiao-Yu Zhang, Haichao Shi, Changsheng Li +3
Action recognition in videos has attracted a lot of attention in the past decade. In order to learn robust models, previous methods usually assume videos are trimmed as short seque…
Image Captioning based on Deep Reinforcement Learning
Haichao Shi, Peng Li, Bo Wang +1
Recently it has shown that the policy-gradient methods for reinforcement learning have been utilized to train deep end-to-end systems on natural language processing tasks. What's m…
Synchronized Detection and Recovery of Steganographic Messages with Adversarial Learning
Haichao Shi, Xiao-Yu Zhang
In this work, we mainly study the mechanism of learning the steganographic algorithm as well as combining the learning process with adversarial learning to learn a good steganograp…
SSGAN: Secure Steganography Based on Generative Adversarial Networks
Haichao Shi, Jing Dong, Wei Wang +2
In this paper, a novel strategy of Secure Steganograpy based on Generative Adversarial Networks is proposed to generate suitable and secure covers for steganography. The proposed a…