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Yan Huang 黄岩
Associate Professor, Ph.D.
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Biography
Yan Huang received the BSc degree from University of Electronic Science and Technology of China (UESTC) in 2012, and the PhD degree from University of Chinese Academy of Sciences (UCAS) in 2017. Since July 2017, he has joined the National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA) as an associate professor. His research interests include computer vision and cross-modal data analysis. He has obtained awards such as the Young Scientist Award of CSIG, Presidential Special Award of CAS, Excellent Doctoral Thesis of both CAS and CAAI, NVIDIA Pioneering Research Award, Baidu Fellowship, CVPR 2014 Workshop Best Paper Award, ICPR 2014 Best Student Paper Award, and RACV 2016 Best Poster Award.
Selected Books and Chapters
Yan Huang, and Liang Wang, Deep Cognitive Networks——Enhance Deep Learning by Modeling Human Cognitive Mechanism, Springer, ISBN: 978-981-99-0278-1, 2023. PDF
Selected Journal Papers
Yan Huang, Yuming Wang, and Liang Wang, Efficient Image and Sentence Matching, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 45(3): 2970-2983, 2023. PDF
Chong Liu, Yuqi Zhang, Hongsong Wang, Weihua Chen, Fan Wang, Yan Huang, Yi-Dong Shen, and Liang Wang, Efficient Token-Guided Image-Text Retrieval with Consistent Multimodal Contrastive Training, IEEE Transactions on Image Processing (IEEE TIP), accepted, 2023. PDF
Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, and Tieniu Tan, End-to-End Alternating Optimization for Real-World Blind Super Resolution, International Journal of Computer Vision (IJCV), accepted, 2023. PDF
Yan Huang, Jingdong Wang, and Liang Wang, Few-Shot Image and Sentence Matching via Aligned Cross-Modal Memory, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 44(6): 2968-2983, 2022. PDF
Jianhua Yang, Yan Huang, Kai Niu, Linjiang Huang, Zhanyu Ma, and Liang Wang, Actor and Action Modular Network for Text-based Video Segmentation, IEEE Transactions on Image Processing (IEEE TIP), 31: 4474-4489, 2022. PDF
Wenlong Cheng, Wei Tang, Yan Huang, Yiwen Luo, and Liang Wang, A Reconstruction-based Visual-Acoustic-Semantic Embedding Method for Speech-Image Retrieval, IEEE Transactions on Multimedia (IEEE TMM), accepted, 2022. PDF
Hongyuan Yu, Houwen Peng, Yan Huang, Hao Du, Jianlong Fu, Liang Wang, and Haibin Ling, Cyclic Differentiable Architecture Search, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 45(1): 211-228, 2022. PDF
Zerui Chen, Yan Huang, Hongyuan Yu, and Liang Wang, Learning a Robust Part-Aware Monocular 3D Human Pose Estimator via Neural Architecture Search, International Journal of Computer Vision (IJCV), 130: 56–75, 2022. PDF
Yuchun Fang, Zhengye Xiao, Wei Zhang, Yan Huang, Liang Wang, Nozha Boujemaa, and Donald Geman, Attribute Prototype Learning for Interactive Face Retrieval, IEEE Transactions on Information Forensics and Security (IEEE TIFS), 16: 2593-2607, 2021. PDF
Chao Fan, Hongyuan Yu, Yan Huang, Caifeng Shan, Liang Wang, and Chenglong Li, SiamON: Siamese Occlusion-aware Network for Visual Tracking, IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 33(1): 186-199, 2021. PDF
Linjiang Huang, Yan Huang, Wanli Ouyang, and Liang Wang, Two-Branch Relational Prototypical Network for Weakly Supervised Temporal Action Localization, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 44(9): 5729-5746, 2022. PDF
Linjiang Huang, Yan Huang, Wanli Ouyang, and Liang Wang, Modeling Sub-Actions for Weakly Supervised Temporal Action Localization, IEEE Transactions on Image Processing (IEEE TIP), 30: 5154-5167, 2021. PDF
Aihua Zheng, Menglan Hu, Bo Jiang, Yan Huang, Yan Yan, and Bin Luo, Adversarial-Metric Learning for Audio-Visual Cross-Modal Matching, IEEE Transactions on Multimedia (IEEE TMM), 24: 338-351, 2021. PDF
Hongyuan Yu, Yan Huang, Lihong Pi, Chengquan Zhang, Xuan Li, and Liang Wang, End-to-end Video Text Detection with Online Tracking, Pattern Recognition (PR), accepted, 2021. PDF
Ke Han, Yan Huang, Chunfeng Song, Liang Wang, and Tieniu Tan, Adaptive Super-Resolution for Person Re-Identification with Low-Resolution Images, Pattern Recognition (PR), accepted, 2021. PDF
Yan Huang, Qi Wu, Wei Wang, and Liang Wang, Image and Sentence Matching via Semantic Concepts and Order Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 42(3): 636-650, 2020. PDF
Kai Niu, Yan Huang, Wanli Ouyang, and Liang Wang, Improving Description-based Person Re-identification by Multi-granularity Image-text Alignments, IEEE Transactions on Image Processing (IEEE TIP), 29: 5542-5556, 2020. PDF
Weining Wang, Yan Huang, and Liang Wang, Long Video Question Answering: A Matching-guided Attention Model, Pattern Recognition (PR), accepted, 2020. PDF
Kai Niu, Yan Huang, and Liang Wang, Re-ranking Image-text Matching by Adaptive Metric Fusion, Pattern Recognition (PR), accepted, 2020. PDF
Chunfeng Song, Yongzhen Huang, Yan Huang, Ning Jia, and Liang Wang, GaitNet: An End-to-end Network for Gait Based Human Identification, Pattern Recognition (PR), accepted, 2019. PDF
Linjiang Huang, Yan Huang, Wanli Ouyang, and Liang Wang, Part-Aligned Pose-Guided Recurrent Network for Action Recognition, Pattern Recognition (PR), 96:165-176, 2019. PDF
Yan Huang, Wei Wang, and Liang Wang, Video Super-resolution via Bidirectional Recurrent Convolutional Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 40(4), 1015-1028, 2018. PDF
Yan Huang, Wei Wang, Liang Wang, and Tieniu Tan, Conditional High-order Boltzmann Machines for Supervised Relation Learning, IEEE Transactions on Image Processing (IEEE TIP), 26(9):4297-4310, 2017. PDF
Yan Huang, Wei Wang, and Liang Wang, Unconstrained Multimodal Multi-Label Learning, IEEE Transactions on Multimedia (IEEE TMM), 17(11):1923-1935, 2015. PDF
Selected Conference Papers
Keji He, Chenyang Si, Zhihe Lu, Yan Huang, Liang Wang, and Xinchao Wang, Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation, Neural Information Processing Systems (NeurIPS), 2023. PDF
Dong An, Yuankai Qi, Yangguang Li, Yan Huang, Liang Wang, Tieniu Tan, and Jing Shao, BEVBert: Multimodal Map Pre-training for Language-guided Navigation, IEEE International Conference on Computer Vision (ICCV), pp. 2737-2748, 2023. PDF
Jilong Wang, Saihui Hou, Yan Huang, Chunshui Cao, Xu Liu, Yongzhen Huang, and Liang Wang, Causal Intervention for Sparse-View Gait Recognition, ACM Conference on Multimedia (MM), accepted, 2023. PDF
Zhengxiong Luo, Dayou Chen, Yingya Zhang, Yan Huang, Liang Wang, Yujun Shen, Deli Zhao, Jingren Zhou, and Tieniu Tan, VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 10209-10218, 2023. PDF
Ke Han, Shaogang Gong, Yan Huang, Liang Wang, Tieniu Tan, Clothing-Change Feature Augmentation for Person Re-Identification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 22066-22075, 2023. PDF
Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng Yan, Bag of tricks for training data extraction from language models, International Conference on Machine Learning (ICML), 2023. PDF
Yan Huang, Yuming Wang, Yunan Zeng, and Liang Wang, MACK: Multimodal Aligned Conceptual Knowledge for Unpaired Image-text Matching, Neural Information Processing Systems (NeurIPS), 2022. PDF
Kai Niu, Linjiang Huang, Yan Huang, Peng Wang, Liang Wang, and Yanning Zhang, Cross-modal Co-occurrence Attributes Alignments for Person Search by Language, ACM Conference on Multimedia (MM), pp. 4426–4434, 2022. PDF
Weichen Yu, Hongyuan Yu, Yan Huang, and Liang Wang, Generalized Inter-class Loss for Gait Recognition, ACM Conference on Multimedia (MM), pp. 141–150, 2022. PDF
Hongyuan Yu, Tian Li, Weichen Yu, Jianguo Li, Yan Huang, Liang Wang, and Alex Liu, Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting, International Joint Conference on Artificial Intelligence (IJCAI), 2362-2368, 2022. PDF
Zhengxiong Luo, Yan Huang*, Shang Li, Liang Wang, and Tieniu Tan, Learning the Degradation Distribution for Blind Image Super-Resolution, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), accepted, 2022. PDF
Ke Han, Chenyang Si, Yan Huang*, Liang Wang, and Tieniu Tan, Generalizable Person Re-Identification via Self-Supervised Batch Norm Test-Time Adaption, AAAI Conference on Artificial Intelligence (AAAI), accepted, 2022. PDF
Keji He, Yan Huang, Qi Wu, Jianhua Yang, Dong An, Shuanglin Sima, and Liang Wang, Landmark-RxR: Solving Vision-and-Language Navigation with Fine-Grained Alignment Supervision, Neural Information Processing Systems (NeurIPS), 2021. PDF
Dong An, Yuankai Qi, Yan Huang*, Qi Wu, Liang Wang, and Tieniu Tan, Neighbor-view Enhanced Model for Vision and Language Navigation, ACM Conference on Multimedia (MM), accepted, 2021. (Oral) PDF
Zhengxiong Luo, Zhicheng Wang, Yan Huang, Shang Li, Liang Wang, Tieniu Tan, and Erjin Zhou, Rethinking the Heatmap Regression for Bottom-Up Human Pose Estimation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 13264-13273, 2021. PDF
Zhengxiong Luo, Yan Huang*, Shang Li, Liang Wang, and Tieniu Tan, Unfolding the Alternating Optimization for Blind Super Resolution, Neural Information Processing Systems (NeurIPS), 2020. PDF
Kai Niu, Yan Huang, and Liang Wang, Textual Dependency Embedding for Person Search by Language, ACM Conference on Multimedia (MM), pp. 4032–4040, 2020. PDF
Zerui Chen, Yan Huang, Hongyuan Yu, Bin Xue, Ke Han, Yiru Guo, and Liang Wang, Towards Part-aware Monocular 3D Human Pose Estimation: An Architecture Search Approach, European Conference on Computer Vision (ECCV), accepted, 2020. (Spotlight) PDF
Ke Han, Yan Huang, Zerui Chen, Liang Wang, Tieniu Tan, Prediction, Recovery and Identification: Adaptive Low-Resolution Person Re-Identification, European Conference on Computer Vision (ECCV), accepted, 2020. PDF
Linjiang Huang, Yan Huang, Wanli Ouyang, and Liang Wang, Relational Prototypical Network for Weakly Supervised Temporal Action Localization, AAAI Conference on Artificial Intelligence (AAAI), accepted, 2020. (Oral) PDF
Linjiang Huang, Yan Huang, Wanli Ouyang, and Liang Wang, Part-Level Graph Convolutional Network for Skeleton-Based Action Recognition, AAAI Conference on Artificial Intelligence (AAAI), accepted, 2020. (Oral) PDF
Yan Huang and Liang Wang, ACMM: Aligned Cross-Modal Memory For Few-Shot Image and Sentence Matching, IEEE International Conference on Computer Vision (ICCV), pp. 5774-5783, 2019. PDF
Yan Huang, Yang Long, and Liang Wang, Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding, AAAI Conference on Artificial Intelligence (AAAI), pp. 8489-8496, 2019. (Spotlight) PDF
Weining Wang, Yan Huang, and Liang Wang, Language-driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 334-343, 2019. (Oral) PDF
Chunfeng Song, Yan Huang, Wanli Ouyang, and Liang Wang, Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3136-3145, 2019. PDF
Kai Niu, Yan Huang, and Liang Wang, Fusing Two Directions in Cross-domain Adaption for Real Life Person Search by Language, IEEE International Conference on Computer Vision Workshop (ICCVW), 2019. (Oral) PDF
Yan Huang, Qi Wu, Chunfeng Song, and Liang Wang, Learning Semantic Concepts and Order for Image and Sentence Matching, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 6163-6171, 2018. (Spotlight) PDF
Chunfeng Song, Yan Huang, Wanli Ouyang, and LiangWang, Mask-Guided Contrastive Attention Model for Person Re-Identification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1179-1188, 2018. PDF
Junbo Wang, Wei Wang, Yan Huang, Liang Wang, and Tieniu Tan, Multimodal Memory Modelling for Video Captioning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7512-7520, 2018. (Spotlight) PDF
Junbo Wang, Wei Wang, Yan Huang, Liang Wang, and Tieniu Tan, Hierarchical Memory Modelling for Video Captioning, ACM Conference on Multimedia (MM), pp. 63-71, 2018. PDF
Chenglong Li, Chengli Zhu, Yan Huang, Jin Tang, and Liang Wang, Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking, European Conference on Computer Vision (ECCV), pp. 831-847, 2018. PDF
Yan Huang, Wei Wang, and Liang Wang, Instance-aware Image and Sentence Matching with Selective Multimodal LSTM, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2310-2318, 2017. PDF
Zhen Zhou, Yan Huang, Wei Wang, Liang Wang, and Tieniu Tan, See the forest for the trees: Joint spatial and temporal recurrent neural networks for video-based person re-identification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 6776-6785, 2017. PDF
Yan Huang, Wei Wang, and Liang Wang, Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution, Neural Information Processing Systems (NeurIPS), pp. 235-243, 2015. PDF
Yan Huang, Wei Wang, and Liang Wang, Conditional High-order Boltzmann Machine: A Supervised Learning Model for Relation Learning, IEEE International Conference on Computer Vision (ICCV), pp. 4265-4273, 2015. PDF
Peihao Huang, Yan Huang, Wei Wang, and Liang Wang, Deep Embedding Network for Clustering, International Conference on Pattern Recognition (ICPR), pp. 1532-1537, 2014. (Best Student Paper Award) PDF
Wei Wang, Yan Huang, Yizhou Wang, and Liang Wang, Generalized Autoencoder: A Neural Network Framework for Dimensionality Reduction, IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) , pp. 490-497, 2014. (Best Paper Award) PDF
Competitions
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AVDN Challenge 2023. Our team susanping (Yifei Su, Dong An, Yuan Xu, Kehan Chen, Yan Huang) is the winner. See details here: Results of AVDN Challenge 2023. |
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RxR-Habitat Competition 2022. Our team JoyBoy (Dong An, Zun Wang, Yangguang Li, Yi Wang, Yicong Hong, Yan Huang, Liang Wang, Jing Shao) is the winner. See details here: Results of RxR-Habitat Competition 2022. |
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LMNL Challenge 2022. Our team (Weichen Yu, Hongyuan Yu, Yan Huang, Dong An, Keji He, Zhipeng Zhang, Xiuchuan Li, Liang Wang) is the runner-up of task 1-1. See details here: Results of LMNL Challenge 2022. |
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REVERIE Challenge 2022. Our team TouchFish (Dong An, Yifeng Su, Shuanglin Sima, Hongyuan Yu, Weichen Yu, Yan Huang) is the runner-up of both channels. See details here: Results of REVERIE Challenge 2022. |
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VOT 2019: Visual Object Tracking Challenge. Our team (Hongyuan Yu, Houwen Peng, Zhirong Wu, Yan Huang, Jianlong Fu, Liang Wang) is the winner of the task: RGB-D. See details here: Results of VOT 2019. |
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WIDER 2019: Wider Face and Person Challenge. Our team (Kai Niu, Yan Huang, Da Li, Liang Wang) is the winner of the task: PSL. See details here: Results of WIDER 2019. |
Professional Activities
Deputy Secretary General, China Computer Federation Technical Committee on Computer Vision
Area Chair, CVPR2024
Co-Chair, CVPR 2020 Workshop on Multimodal Learning, CVPR 2020 Workshop on Language & Vision with Applications to Video Understanding, ICCV 2019 Workshop on Cross-Modal Learning in Real World
Reviewer, IEEE TPAMI, IJCV, IEEE TIP, IEEE TMM, CVPR, ICCV, ECCV, NeruIPS, AAAI, etc
Honors and Awards
2022.12, 中国图象图形学学会青年科学家奖
2021.03, 中国科协青年人才托举工程
2021.01, 北京市优秀青年人才
2020.07, 北京市科技新星计划
2019.10, 微软铸星计划
2019.08, 中国科学院特别研究助理
2018.10, 中国科学院优秀博士学位论文奖
2018.11, 中国人工智能学会优秀博士学位论文奖
2018.06, NVIDIA Pioneering Research Award
2017.06, 中国科学院院长特别奖
2017.07, 北京市优秀毕业生
2016.12, 百度奖学金
2016.09, RACV Best Poster Award
2014.08, ICPR Best Student Paper Award
2014.06, CVPR Workshop Best Paper Award