Weixin Li

Dr. Weixin Li is an Associate Professor at the School of Computer Science and Engineering, Beihang Univeristy. Her research interests include computer vision, image processing, and big data analytics. She received the Ph.D. degree in Computer Science from the University of California, Los Angeles (UCLA), Los Angeles, CA, USA, in 2017, under the supervision of Professor Song-Chun Zhu. She is currently a faculty member at the Laboratory of Intelligent Recognition and Image Processing (IRIP).

Current Research Projects

Publications

• Leveraging Predicate and Triplet Learning for Scene Graph Generation
  Jiankai Li, Yunhong Wang, and Weixin Li*
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [Code]
• MHRN: A Multimodal Hierarchical Reasoning Network for Topic Detection
  Jiankai Li, Yunhong Wang, and Weixin Li*
  IEEE Transactions on Multimedia (TMM), 2024.
• Read, Spell and Repeat: Scene Text Recognition with Vision-Language Circular Refinement
  Taiwei Zhang, Zhenghui Hu, Weixin Li, Qingjie Liu, and Yunhong Wang
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
• Multi-Modal and Multi-Scale Temporal Fusion Architecture Search for Audio-Visual Video Parsing
  Jiayi Zhang, and Weixin Li*
  Proceedings of the 31st ACM International Conference on Multimedia (MM), 2023.
• Human Emotion Recognition With Relational Region-Level Analysis
  Weixin Li, Xuan Dong, and Yunhong Wang
  IEEE Transactions on Affective Computing, 2023.
• Facial Expression Animation by Landmark Guided Residual Module
  Xueping Wang, Yunhong Wang, Weixin Li*, Zhengyin Du, and Di Huang
  IEEE Transactions on Affective Computing, 2023.
• Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection
  Ziwei Chen, Linmei Hu, Weixin Li, Yingxia Shao, and Liqiang Nie
  Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023.
• Zero-shot Scene Graph Generation via Triplet Calibration and Reduction
  Jiankai Li, Yunhong Wang, and Weixin Li*
  ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2023. [Code]
• Dual-Lens HDR using Guided 3D Exposure CNN and Guided Denoising Transformer
  Weixin Li, Tiantian Cao, Chang Liu, Xue Tian, Ya Li, Xiaojie Wang, and Xuan Dong
  ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2023.
• CUR Transformer: A Convolutional Unbiased Regional Transformer for Image Denoising
  Kang Xu, Weixin Li, Xia Wang, Xiaoyan Hu, Ke Yan, Xiaojie Wang, and Xuan Dong
  ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2023.
• Spatially Consistent Transformer for Colorization in Monochrome-Color Dual-Lens System
  Xuan Dong, Chang Liu, Xiaoyan Hu, Kang Xu, and Weixin Li*
  IEEE Transations on Image Processing (TIP), 2022.
• A Colorization Framework for Monochrome-Color Dual-Lens Systems Using a Deep Convolutional Network
  Xuan Dong, Weixin Li*, Xiaoyan Hu, Xiaojie Wang, and Yunhong Wang
  IEEE Transations on Visualization and Computer Graphics (TVCG), 2022.
• Self-Supervised Colorization Towards Monochrome-Color Camera Systems Using Cycle CNN
  Xuan Dong, Chang Liu, Weixin Li*, Xiaoyan Hu, Xiaojie Wang, and Yunhong Wang
  IEEE Transations on Image Processing (TIP), 2021.
• MIEHDR CNN: Main Image Enhancement based Ghost-Free High Dynamic Range Imaging using Dual-Lens Systems
  Xuan Dong, Xiaoyan Hu, Weixin Li*, Xiaojie Wang, and Yunhong Wang
  The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021.
• Spatio-Temporal Encoder-Decoder Fully Convolutional Network for Video-Based Dimensional Emotion Recognition
  Zhengyin Du, Suowei Wu, Di Huang, Weixin Li, and Yunhong Wang
  IEEE Transactions on Affective Computing, 2021.
• Expression-Latent-Space-guided GAN for Facial Expression Animation based on Discrete Labels
  Xueping Wang, Weixin Li*, and Di Huang
  IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2021.
• Entity Relation Fusion for Real-Time One-Stage Referring Expression Comprehension
  Hang Yu, Weixin Li*, Jiankai Li, and Ye Du
  ACM Multimedia Asia, 2021.
• Cycle-CNN for Colorization towards Real Monochrome-Color Camera Systems
  Xuan Dong, Weixin Li*, Xiaojie Wang, and Yunhong Wang
  The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2020.
• 3D Face Mask Anti-spoofing via Deep Fusion of Dynamic Texture and Shape Clues
  Song Chen, Weixin Li*, Hongyu Yang, Di Huang, and Yunhong Wang
  IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2020.
• Learning a Deep Convolutional Network for Colorization in Monochrome-Color Dual-Lens System
  Xuan Dong, Weixin Li*, Xiaojie Wang, and Yunhong Wang
  The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2019.
• Encoding Visual Behaviors with Attentive Temporal Convolution for Depression Prediction
  Zhengyin Du, Weixin Li*, Di Huang, and Yunhong Wang
  IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2019.
• Discriminative Attention-based Convolutional Neural Network for 3D Facial Expression Recognition
  Kangkang Zhu, Zhengyin Du, Weixin Li, Di Huang, Yunhong Wang, and Liming Chen
  IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2019.
• Continuous Emotion Recognition in Videos by Fusing Facial Expression, Head Pose and Eye Gaze
  Suowei Wu, Zhengyin Du, Weixin Li*, Di Huang, and Yunhong Wang
  ACM International Conference on Multimodal Interaction (ICMI), 2019.
• Ground-Truth Data Set and Baseline Evaluations for Base-Detail Separation Algorithms at the Part Level
  Xuan Dong, Boyan I. Bonev, Weixin Li*, Weichao Qiu, Xianjie Chen, and Alan L. Yuille
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2018.
• Bipolar Disorder Recognition via Multi-scale Discriminative Audio Temporal Representation
  Zhengyin Du, Weixin Li, Di Huang, and Yunhong Wang
  Proceedings of the 2018 on Audio/Visual Emotion Challenge and Workshop (AVEC), 2018.
• Joint Image-Text News Topic Detection and Tracking by Multimodal Topic And-Or Graph
  Weixin Li, Jungseock Joo, Hang Qi, and Song-Chun Zhu
  IEEE Transactions on Multimedia (TMM), 2017.
• Visual Persuasion: Inferring Communicative Intents of Images
  Jungseock Joo, Weixin Li, Francis F. Steen, and Song-Chun Zhu
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
• Combining Tensor Space Analysis and Active Appearance Models for Aging Effect Simulation on Face Images
  Yunhong Wang, Zhaoxiang Zhang, Weixin Li, and Fangyuan Jiang IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2012.

Teaching

• Introduction to Pattern Recognition
• Human-Computer Interaction
• Methodology of Computer Science