当前位置: X-MOL首页全球导师 国内导师 › 洪晓鹏

个人简介

博士,哈尔滨工业大学 计算学部 教授,博士生导师,哈工大-鹏城实验室联培博士生导师,未来技术学院书院导师(首批)。智能科学与技术系 副主任。IEEE资深会员、黑龙江省高层次人才。 本硕博就读于哈尔滨工业大学计算机科学与技术学院,师从高文院士。曾任西安交通大学特聘研究员、博导、保卫处副处长(挂);芬兰奥卢大学Docent(芬兰副高、博导),芬兰奥卢大学机器视觉与信号处理中心(CMVS)理事会成员(Committee Board member)。马里兰大学帕克分校访问教授;澳洲国立大学访问学者。

研究领域

智能感知技术(目标检测跟踪、重识别、计数与流量估计、动作识别等;情绪和生理信号感知) 多模态学习理论、方法与技术 深度连续学习与增量学习理论、方法与技术 多智能体环境下的策略分配与任务调度 深度学习安全性分析(模型脆弱性与安全性分析,视频生成与检测)

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Miao Shang, Xiaopeng Hong: Recurrent ConFormer for WiFi Activity Recognition. IEEE CAA J. Autom. Sinica 10(6): 1491-1493 (2023) Sicheng Zhao, Xiaopeng Hong, Jufeng Yang, Yanyan Zhao, Guiguang Ding: Toward Label-Efficient Emotion and Sentiment Analysis. Proc. IEEE 111(10): 1159-1197 (2023) Jingting Li, Moi Hoon Yap, Wen-Huang Cheng, John See, Xiaopeng Hong, Xiaobai Li, Su-Jing Wang: Editorial for pattern recognition letters special issue on face-based emotion understanding. Pattern Recognit. Lett. 168: 8-9 (2023) Xing Wei, Yunfeng Qiu, Zhiheng Ma, Xiaopeng Hong, Yihong Gong: Semi-Supervised Crowd Counting via Multiple Representation Learning. IEEE Trans. Image Process. 32: 5220-5230 (2023) Yu Liu, Xiaopeng Hong, Xiaoyu Tao, Songlin Dong, Jingang Shi, Yihong Gong: Model Behavior Preserving for Class-Incremental Learning. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7529-7540 (2023) Dongbao Yang, Yu Zhou, Xiaopeng Hong, Aoting Zhang, Weiping Wang: One-Shot Replay: Boosting Incremental Object Detection via Retrospecting One Object. AAAI 2023: 3127-3135 Yabin Wang, Zhiheng Ma, Zhiwu Huang, Yaowei Wang, Zhou Su, Xiaopeng Hong: Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference. AAAI 2023: 10209-10217 Dongbao Yang, Yu Zhou, Xiaopeng Hong, Aoting Zhang, Xin Wei, Linchengxi Zeng, Zhi Qiao, Weiping Wang: Pseudo Object Replay and Mining for Incremental Object Detection. ACM Multimedia 2023: 153-162 Adrian K. Davison, Jingting Li, Moi Hoon Yap, John See, Wen-Huang Cheng, Xiaobai Li, Xiaopeng Hong, Su-Jing Wang: MEGC2023: ACM Multimedia 2023 ME Grand Challenge. ACM Multimedia 2023: 9625-9629 Adrian K. Davison, Jingting Li, Moi Hoon Yap, John See, Wen-Huang Cheng, Xiaobai Li, Xiaopeng Hong, Su-Jing Wang: FME '23: 3rd Facial Micro-Expression Workshop. ACM Multimedia 2023: 9736-9738 Chuqiao Li, Zhiwu Huang, Danda Pani Paudel, Yabin Wang, Mohamad Shahbazi, Xiaopeng Hong, Luc Van Gool: A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials. WACV 2023: 1339-1349 Adrian K. Davison, Jingting Li, Moi Hoon Yap, John See, Wen-Huang Cheng, Xiaobai Li, Xiaopeng Hong, Su-Jing Wang: Proceedings of the 3rd Workshop on Facial Micro-Expression: Advanced Techniques for Multi-Modal Facial Expression Analysis, FME 2023, Ottawa, ON, Canada, 29 October 2023. ACM 2023 [contents] Yabin Wang, Zhiwu Huang, Xiaopeng Hong: Benchmarking Deepart Detection. CoRR abs/2302.14475 (2023) Yabin Wang, Xiaopeng Hong, Zhiheng Ma, Tiedong Ma, Baoxing Qin, Zhou Su: Towards Practical Multi-Robot Hybrid Tasks Allocation for Autonomous Cleaning. CoRR abs/2303.06531 (2023) Zhiheng Ma, Xiaopeng Hong, Beinan Liu, Yabin Wang, Pinyue Guo, Huiyun Li: Remind of the Past: Incremental Learning with Analogical Prompts. CoRR abs/2303.13898 (2023) Zhiheng Ma, Xiaopeng Hong, Qinnan Shangguan: Can SAM Count Anything? An Empirical Study on SAM Counting. CoRR abs/2304.10817 (2023) Yifei Qian, Xiaopeng Hong, Ognjen Arandjelovic, Zhongliang Guo, Carl R. Donovan: Semi-Supervised Crowd Counting with Contextual Modeling: Facilitating Holistic Understanding of Crowd Scenes. CoRR abs/2310.10352 (2023) Liangfei Zhang, Xiaopeng Hong, Ognjen Arandjelovic, Guoying Zhao: Short and Long Range Relation Based Spatio-Temporal Transformer for Micro-Expression Recognition. IEEE Trans. Affect. Comput. 13(4): 1973-1985 (2022) Pingyang Dai, Peixian Chen, Qiong Wu, Xiaopeng Hong, Qixiang Ye, Qi Tian, Chia-Wen Lin, Rongrong Ji: Disentangling Task-Oriented Representations for Unsupervised Domain Adaptation. IEEE Trans. Image Process. 31: 1012-1026 (2022) Yuhang He, Xing Wei, Xiaopeng Hong, Wei Ke, Yihong Gong: Identity-Quantity Harmonic Multi-Object Tracking. IEEE Trans. Image Process. 31: 2201-2215 (2022) Tong Zhang, Yuan Zong, Wenming Zheng, C. L. Philip Chen, Xiaopeng Hong, Chuangao Tang, Zhen Cui, Guoying Zhao: Cross-Database Micro-Expression Recognition: A Benchmark. IEEE Trans. Knowl. Data Eng. 34(2): 544-559 (2022) Yabin Wang, Zhiheng Ma, Xing Wei, Shuai Zheng, Yaowei Wang, Xiaopeng Hong: ECCNAS: Efficient Crowd Counting Neural Architecture Search. ACM Trans. Multim. Comput. Commun. Appl. 18(1s): 36:1-36:19 (2022) Yifei Qian, Liangfei Zhang, Xiaopeng Hong, Carl Donovan, Ognjen Arandjelovic: Segmentation Assisted U-shaped Multi-scale Transformer for Crowd Counting. BMVC 2022: 397 Hui Lin, Zhiheng Ma, Rongrong Ji, Yaowei Wang, Xiaopeng Hong: Boosting Crowd Counting via Multifaceted Attention. CVPR 2022: 19596-19605 Jingang Shi, Yusi Wang, Songlin Dong, Xiaopeng Hong, Zitong Yu, Fei Wang, Changxin Wang, Yihong Gong: IDPT: Interconnected Dual Pyramid Transformer for Face Super-Resolution. IJCAI 2022: 1306-1312 Hui Lin, Zhiheng Ma, Xiaopeng Hong, Yaowei Wang, Zhou Su: Semi-supervised Crowd Counting via Density Agency. ACM Multimedia 2022: 1416-1426 Jingting Li, Moi Hoon Yap, Wen-Huang Cheng, John See, Xiaopeng Hong, Xiaobai Li, Su-Jing Wang, Adrian K. Davison, Yante Li, Zizhao Dong: MEGC2022: ACM Multimedia 2022 Micro-Expression Grand Challenge. ACM Multimedia 2022: 7170-7174 Jingting Li, Moi Hoon Yap, Wen-Huang Cheng, John See, Xiaopeng Hong, Xiaobai Li, Su-Jing Wang: FME '22: 2nd Workshop on Facial Micro-Expression: Advanced Techniques for Multi-Modal Facial Expression Analysis. ACM Multimedia 2022: 7397-7399 Yabin Wang, Zhiwu Huang, Xiaopeng Hong: S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning. NeurIPS 2022 Jingting Li, Moi Hoon Yap, Wen-Huang Cheng, John See, Xiaopeng Hong, Xiaobai Li, Su-Jing Wang: Proceedings of the 2nd Workshop on Facial Micro-Expression: Advanced Techniques for Multi-Modal Facial Expression Analysis, FME 2022, Lisboa, Portugal, 14 October 2022. ACM 2022, ISBN 978-1-4503-9495-6 [contents] Hui Lin, Zhiheng Ma, Rongrong Ji, Yaowei Wang, Xiaopeng Hong: Boosting Crowd Counting via Multifaceted Attention. CoRR abs/2203.02636 (2022) Xiaohan Zhang, Songlin Dong, Jinjie Chen, Qi Tian, Yihong Gong, Xiaopeng Hong: Deep Class Incremental Learning from Decentralized Data. CoRR abs/2203.05984 (2022) Chuqiao Li, Zhiwu Huang, Danda Pani Paudel, Yabin Wang, Mohamad Shahbazi, Xiaopeng Hong, Luc Van Gool: A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials. CoRR abs/2205.05467 (2022) Yabin Wang, Zhiwu Huang, Xiaopeng Hong: S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning. CoRR abs/2207.12819 (2022) Hui Lin, Zhiheng Ma, Xiaopeng Hong, Yaowei Wang, Zhou Su: Semi-supervised Crowd Counting via Density Agency. CoRR abs/2209.02955 (2022) Yabin Wang, Zhiheng Ma, Zhiwu Huang, Yaowei Wang, Zhou Su, Xiaopeng Hong: Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference. CoRR abs/2211.15969 (2022) Wei Peng, Xiaopeng Hong, Guoying Zhao, Erik Cambria: Adaptive Modality Distillation for Separable Multimodal Sentiment Analysis. IEEE Intell. Syst. 36(3): 82-89 (2021) Thuong-Khanh Tran, Quang Nhat Vo, Xiaopeng Hong, Xiaobai Li, Guoying Zhao: Micro-expression spotting: A new benchmark. Neurocomputing 443: 356-368 (2021) Wei Peng, Xiaopeng Hong, Guoying Zhao: Tripool: Graph triplet pooling for 3D skeleton-based action recognition. Pattern Recognit. 115: 107921 (2021) Wenjie Ding, Xing Wei, Rongrong Ji, Xiaopeng Hong, Qi Tian, Yihong Gong: Beyond Universal Person Re-Identification Attack. IEEE Trans. Inf. Forensics Secur. 16: 3442-3455 (2021) Xiaoyu Tao, Xiaopeng Hong, Weiwei Shi, Xinyuan Chang, Yihong Gong: Analogy-Detail Networks for Object Recognition. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4404-4418 (2021) Songlin Dong, Xiaopeng Hong, Xiaoyu Tao, Xinyuan Chang, Xing Wei, Yihong Gong: Few-Shot Class-Incremental Learning via Relation Knowledge Distillation. AAAI 2021: 1255-1263 Yuhang He, Zhiheng Ma, Xing Wei, Xiaopeng Hong, Wei Ke, Yihong Gong: Error-Aware Density Isomorphism Reconstruction for Unsupervised Cross-Domain Crowd Counting. AAAI 2021: 1540-1548 Zhiheng Ma, Xing Wei, Xiaopeng Hong, Hui Lin, Yunfeng Qiu, Yihong Gong: Learning to Count via Unbalanced Optimal Transport. AAAI 2021: 2319-2327 Yuhang He, Wentao Yu, Jie Han, Xing Wei, Xiaopeng Hong, Yihong Gong: Know Your Surroundings: Panoramic Multi-Object Tracking by Multimodality Collaboration. CVPR Workshops 2021: 2969-2980 Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji: Image-to-Image Translation via Hierarchical Style Disentanglement. CVPR 2021: 8639-8648 Zhiheng Ma, Xiaopeng Hong, Xing Wei, Yunfeng Qiu, Yihong Gong: Towards A Universal Model for Cross-Dataset Crowd Counting. ICCV 2021: 3185-3194 Jie Li, Rongrong Ji, Peixian Chen, Baochang Zhang, Xiaopeng Hong, Ruixin Zhang, Shaoxin Li, Jilin Li, Feiyue Huang, Yongjian Wu: Aha! Adaptive History-driven Attack for Decision-based Black-box Models. ICCV 2021: 16148-16157 Jiawei Ma, Xiaoyu Tao, Jianxing Ma, Xiaopeng Hong, Yihong Gong: Class Incremental Learning for Video Action Classification. ICIP 2021: 504-508 Ning Li, Kaitao Jiang, Zhiheng Ma, Xing Wei, Xiaopeng Hong, Yihong Gong: Anomaly Detection Via Self-Organizing Map. ICIP 2021: 974-978 Hui Lin, Xiaopeng Hong, Zhiheng Ma, Xing Wei, Yunfeng Qiu, Yaowei Wang, Yihong Gong: Direct Measure Matching for Crowd Counting. IJCAI 2021: 837-844 Qingshu Guan, Xiaopeng Hong, Wei Ke, Liangfei Zhang, Guanghui Sun, Yihong Gong: Kohonen Self-Organizing Map based Route Planning: A Revisit. IROS 2021: 7969-7976 Liangfei Zhang, Ognjen Arandjelovic, Xiaopeng Hong: Facial Action Unit Detection with Local Key Facial Sub-region based Multi-label Classification for Micro-expression Analysis. FME @ ACM Multimedia 2021: 11-18 Jie Chen, Qixiang Ye, Xiaoshan Yang, S. Kevin Zhou, Xiaopeng Hong, Li Zhang: Few-shot Learning for Multi-Modality Tasks. ACM Multimedia 2021: 5673-5674 Jingting Li, Moi Hoon Yap, Wen-Huang Cheng, John See, Xiaopeng Hong, Xiaobai Li, Su-Jing Wang: FME'21: 1st Workshop on Facial Micro-Expression: Advanced Techniques for Facial Expressions Generation and Spotting. ACM Multimedia 2021: 5700-5701 Yu Liu, Xiaopeng Hong, Xiaoyu Tao, Songlin Dong, Jingang Shi, Yihong Gong: Structural Knowledge Organization and Transfer for Class-Incremental Learning. MMAsia 2021: 18:1-18:7 Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji: Image-to-image Translation via Hierarchical Style Disentanglement. CoRR abs/2103.01456 (2021) Yuhang He, Wentao Yu, Jie Han, Xing Wei, Xiaopeng Hong, Yihong Gong: Know Your Surroundings: Panoramic Multi-Object Tracking by Multimodality Collaboration. CoRR abs/2105.14683 (2021) Hui Lin, Xiaopeng Hong, Zhiheng Ma, Xing Wei, Yunfeng Qiu, Yaowei Wang, Yihong Gong: Direct Measure Matching for Crowd Counting. CoRR abs/2107.01558 (2021) Ning Li, Kaitao Jiang, Zhiheng Ma, Xing Wei, Xiaopeng Hong, Yihong Gong: Anomaly Detection via Self-organizing Map. CoRR abs/2107.09903 (2021) Dong Zhou, Guanghui Sun, Xiaopeng Hong: 3D Visual Tracking Framework with Deep Learning for Asteroid Exploration. CoRR abs/2111.10737 (2021) Liangfei Zhang, Xiaopeng Hong, Ognjen Arandjelovic, Guoying Zhao: Short and Long Range Relation Based Spatio-Temporal Transformer for Micro-Expression Recognition. CoRR abs/2112.05851 (2021) Hui Lin, Xiaopeng Hong, Yabin Wang: Object Counting: You Only Need to Look at One. CoRR abs/2112.05993 (2021) Xinyuan Chang, Zhiheng Ma, Xing Wei, Xiaopeng Hong, Yihong Gong: Transductive semi-supervised metric learning for person re-identification. Pattern Recognit. 108: 107569 (2020) Xin Liu, Henglin Shi, Xiaopeng Hong, Haoyu Chen, Dacheng Tao, Guoying Zhao: 3D Skeletal Gesture Recognition via Hidden States Exploration. IEEE Trans. Image Process. 29: 4583-4597 (2020) Yuhang He, Xing Wei, Xiaopeng Hong, Weiwei Shi, Yihong Gong: Multi-Target Multi-Camera Tracking by Tracklet-to-Target Assignment. IEEE Trans. Image Process. 29: 5191-5205 (2020) Zhaoqiang Xia, Xiaopeng Hong, Xingyu Gao, Xiaoyi Feng, Guoying Zhao: Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-Expressions. IEEE Trans. Multim. 22(3): 626-640 (2020) Zhaoqiang Xia, Xiaopeng Hong, Xingyu Gao, Xiaoyi Feng, Guoying Zhao: Corrections to "Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-Expressions". IEEE Trans. Multim. 22(4): 1111 (2020) Wei Peng, Xiaopeng Hong, Haoyu Chen, Guoying Zhao: Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural Searching. AAAI 2020: 2669-2676 Diangang Li, Xing Wei, Xiaopeng Hong, Yihong Gong: Infrared-Visible Cross-Modal Person Re-Identification with an X Modality. AAAI 2020: 4610-4617 Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, Yihong Gong: Bi-Objective Continual Learning: Learning 'New' While Consolidating 'Known'. AAAI 2020: 5989-5996 Zhenyu Li, Ning Li, Kaitao Jiang, Zhiheng Ma, Xing Wei, Xiaopeng Hong, Yihong Gong: Superpixel Masking and Inpainting for Self-Supervised Anomaly Detection. BMVC 2020 Yuhang He, Jie Han, Wentao Yu, Xiaopeng Hong, Xing Wei, Yihong Gong: City-Scale Multi-Camera Vehicle Tracking by Semantic Attribute Parsing and Cross-Camera Tracklet Matching. CVPR Workshops 2020: 2456-2465 Yunhang Shen, Rongrong Ji, Zhiwei Chen, Xiaopeng Hong, Feng Zheng, Jianzhuang Liu, Mingliang Xu, Qi Tian: Noise-Aware Fully Webly Supervised Object Detection. CVPR 2020: 11323-11332 Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, Songlin Dong, Xing Wei, Yihong Gong: Few-Shot Class-Incremental Learning. CVPR 2020: 12180-12189 Xiaoyu Tao, Xinyuan Chang, Xiaopeng Hong, Xing Wei, Yihong Gong: Topology-Preserving Class-Incremental Learning. ECCV (19) 2020: 254-270 Heng Fan, Dawei Du, Longyin Wen, Pengfei Zhu, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Arne Schumann, Bin Dong, Daniel Stadler, Duo Xu, Filiz Bunyak, Guna Seetharaman, Guizhong Liu, V. Haritha, Hrishikesh P. S, Jie Han, Kannappan Palaniappan, Kaojin Zhu, Lars Wilko Sommer, Libo Zhang, Linu Shine, Min Yao, Noor M. Al-Shakarji, Shengwen Li, Ting Sun, Wang Sai, Wentao Yu, Xi Wu, Xiaopeng Hong, Xing Wei, Xingjie Zhao, Yanyun Zhao, Yihong Gong, Yuehan Yao, Yuhang He, Zhaoze Zhao, Zhen Xie, Zheng Yang, Zhenyu Xu, Zhipeng Luo, Zhizhao Duan: VisDrone-MOT2020: The Vision Meets Drone Multiple Object Tracking Challenge Results. ECCV Workshops (4) 2020: 713-727 Jingting Li, Su-Jing Wang, Moi Hoon Yap, John See, Xiaopeng Hong, Xiaobai Li: MEGC2020 - The Third Facial Micro-Expression Grand Challenge. FG 2020: 777-780 Wenjie Ding, Xing Wei, Xiaopeng Hong, Yihong Gong: Complex Spatial-Temporal Attention Aggregation For Video Person Re-Identification. ICIP 2020: 2441-2445 Wenjie Ding, Xing Wei, Rongrong Ji, Xiaopeng Hong, Yihong Gong: Polynomial Universal Adversarial Perturbations for Person Re-Identification. ICPR 2020: 1144-1151 Xinyuan Chang, Xiaoyu Tao, Xiaopeng Hong, Xing Wei, Wei Ke, Yihong Gong: Class-Incremental Learning with Topological Schemas of Memory Spaces. ICPR 2020: 9719-9726 Zhiheng Ma, Xing Wei, Xiaopeng Hong, Yihong Gong: Learning Scales from Points: A Scale-aware Probabilistic Model for Crowd Counting. ACM Multimedia 2020: 220-228 Xing Wei, Diangang Li, Xiaopeng Hong, Wei Ke, Yihong Gong: Co-Attentive Lifting for Infrared-Visible Person Re-Identification. ACM Multimedia 2020: 1028-1037 Yiyi Zhou, Rongrong Ji, Xiaoshuai Sun, Gen Luo, Xiaopeng Hong, Jinsong Su, Xinghao Ding, Ling Shao: K-armed Bandit based Multi-Modal Network Architecture Search for Visual Question Answering. ACM Multimedia 2020: 1245-1254 Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, Songlin Dong, Xing Wei, Yihong Gong: Few-Shot Class-Incremental Learning. CoRR abs/2004.10956 (2020) Thuong-Khanh Tran, Quang Nhat Vo, Xiaopeng Hong, Xiaobai Li, Guoying Zhao: Micro-expression spotting: A new benchmark. CoRR abs/2007.12421 (2020) Pingyang Dai, Peixian Chen, Qiong Wu, Xiaopeng Hong, Qixiang Ye, Qi Tian, Rongrong Ji: Learning Task-oriented Disentangled Representations for Unsupervised Domain Adaptation. CoRR abs/2007.13264 (2020) Qing Liu, Xiaopeng Hong, Shuo Li, Zailiang Chen, Guoying Zhao, Beiji Zou: A spatial-aware joint optic disc and cup segmentation method. Neurocomputing 359: 285-297 (2019) Yingyue Xu, Xiaopeng Hong, Fatih Porikli, Xin Liu, Jie Chen, Guoying Zhao: Saliency Integration: An Arbitrator Model. IEEE Trans. Multim. 21(1): 98-113 (2019) Thuong-Khanh Tran, Quang Nhat Vo, Xiaopeng Hong, Guoying Zhao: Dense prediction for micro-expression spotting based on deep sequence model. IMAWM 2019: 1-6 Wei Peng, Xiaopeng Hong, Yingyue Xu, Guoying Zhao: A Boost in Revealing Subtle Facial Expressions: A Consolidated Eulerian Framework. FG 2019: 1-5 John See, Moi Hoon Yap, Jingting Li, Xiaopeng Hong, Su-Jing Wang: MEGC 2019 - The Second Facial Micro-Expressions Grand Challenge. FG 2019: 1-5 Zhaoqiang Xia, Huan Liang, Xiaopeng Hong, Xiaoyi Feng: Cross-database Micro-Expression Recognition with Deep Convolutional Networks. ICBEA 2019: 56-60 Zitong Yu, Wei Peng, Xiaobai Li, Xiaopeng Hong, Guoying Zhao: Remote Heart Rate Measurement From Highly Compressed Facial Videos: An End-to-End Deep Learning Solution With Video Enhancement. ICCV 2019: 151-160 Yingyue Xu, Dan Xu, Xiaopeng Hong, Wanli Ouyang, Rongrong Ji, Min Xu, Guoying Zhao: Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection. ICCV 2019: 3788-3797 Jie Li, Rongrong Ji, Hong Liu, Xiaopeng Hong, Yue Gao, Qi Tian: Universal Perturbation Attack Against Image Retrieval. ICCV 2019: 4898-4907 Zhiheng Ma, Xing Wei, Xiaopeng Hong, Yihong Gong: Bayesian Loss for Crowd Count Estimation With Point Supervision. ICCV 2019: 6141-6150 Wei Peng, Xiaopeng Hong, Guoying Zhao: Video Action Recognition Via Neural Architecture Searching. ICIP 2019: 11-15 Yunhang Shen, Rongrong Ji, Xiaopeng Hong, Feng Zheng, Xiaowei Guo, Yongjian Wu, Feiyue Huang: A Part Power Set Model for Scale-Free Person Retrieval. IJCAI 2019: 3397-3403 Yuan Zong, Wenming Zheng, Xiaopeng Hong, Chuangao Tang, Zhen Cui, Guoying Zhao: Cross-Database Micro-Expression Recognition: A Benchmark. ICMR 2019: 354-363 Yingyue Xu, Xiaopeng Hong, Guoying Zhao: Salient Object Detection with CNNs and Multi-scale CRFs. SCIA 2019: 233-245 Bo Zhao, Xinwei Sun, Xiaopeng Hong, Yuan Yao, Yizhou Wang: Zero-Shot Learning Via Recurrent Knowledge Transfer. WACV 2019: 1308-1317 Xin Liu, Henglin Shi, Xiaopeng Hong, Haoyu Chen, Dacheng Tao, Guoying Zhao: Hidden States Exploration for 3D Skeleton-Based Gesture Recognition. WACV 2019: 1846-1855 Zhaoqiang Xia, Xiaopeng Hong, Xingyu Gao, Xiaoyi Feng, Guoying Zhao: Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-expressions. CoRR abs/1901.04656 (2019) Wei Peng, Xiaopeng Hong, Yingyue Xu, Guoying Zhao: A Boost in Revealing Subtle Facial Expressions: A Consolidated Eulerian Framework. CoRR abs/1901.07765 (2019) Qing Liu, Xiaopeng Hong, Wei Ke, Zailiang Chen, Beiji Zou: DDNet: Cartesian-polar Dual-domain Network for the Joint Optic Disc and Cup Segmentation. CoRR abs/1904.08773 (2019) Xinyang Li, Jie Hu, Shengchuan Zhang, Xiaopeng Hong, Qixiang Ye, Chenglin Wu, Rongrong Ji: Attribute Guided Unpaired Image-to-Image Translation with Semi-supervised Learning. CoRR abs/1904.12428 (2019) Wei Peng, Xiaopeng Hong, Guoying Zhao: Video Action Recognition Via Neural Architecture Searching. CoRR abs/1907.04632 (2019) Zitong Yu, Wei Peng, Xiaobai Li, Xiaopeng Hong, Guoying Zhao: Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement. CoRR abs/1907.11921 (2019) Zhiheng Ma, Xing Wei, Xiaopeng Hong, Yihong Gong: Bayesian Loss for Crowd Count Estimation with Point Supervision. CoRR abs/1908.03684 (2019) Yingyue Xu, Dan Xu, Xiaopeng Hong, Wanli Ouyang, Rongrong Ji, Min Xu, Guoying Zhao: Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection. CoRR abs/1909.04366 (2019) Wenjie Ding, Xing Wei, Xiaopeng Hong, Rongrong Ji, Yihong Gong: Universal Adversarial Perturbations Against Person Re-Identification. CoRR abs/1910.14184 (2019) Wei Peng, Xiaopeng Hong, Haoyu Chen, Guoying Zhao: Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching. CoRR abs/1911.04131 (2019) Chunxiao Fan, Xiaopeng Hong, Lei Tian, Yue Ming, Matti Pietik?inen, Guoying Zhao: PCANet-II: When PCANet Meets the Second Order Pooling. IEICE Trans. Inf. Syst. 101-D(8): 2159-2162 (2018) Chunxiao Fan, Lei Tian, Yue Ming, Xiaopeng Hong, Guoying Zhao, Matti Pietik?inen: Sparse projections matrix binary descriptors for face recognition. Neurocomputing 297: 8-21 (2018) Yingyue Xu, Xiaopeng Hong, Xin Liu, Guoying Zhao: Saliency detection via bi-directional propagation. J. Vis. Commun. Image Represent. 53: 113-121 (2018) Xiaobai Li, Xiaopeng Hong, Antti Moilanen, Xiaohua Huang, Tomas Pfister, Guoying Zhao, Matti Pietik?inen: Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods. IEEE Trans. Affect. Comput. 9(4): 563-577 (2018) Xin Liu, Jiawen Yao, Xiaopeng Hong, Xiaohua Huang, Ziheng Zhou, Chun Qi, Guoying Zhao: Background Subtraction Using Spatio-Temporal Group Sparsity Recovery. IEEE Trans. Circuits Syst. Video Technol. 28(8): 1737-1751 (2018) Henglin Shi, Xin Liu, Xiaopeng Hong, Guoying Zhao: Bidirectional Long Short-Term Memory Variational Autoencoder. BMVC 2018: 165 Moi Hoon Yap, John See, Xiaopeng Hong, Su-Jing Wang: Facial Micro-Expressions Grand Challenge 2018 Summary. FG 2018: 675-678 Lei Tian, Xiaopeng Hong, Chunxiao Fan, Yue Ming, Matti Pietik?inen, Guoying Zhao: Sparse Tikhonov-Regularized Hashing for Multi-Modal Learning. ICIP 2018: 3793-3797 Ruijing Yang, Xiaopeng Hong, Jinye Peng, Xiaoyi Feng, Guoying Zhao: Incorporating high-level and low-level cues for pain intensity estimation. ICPR 2018: 3495-3500 Zhaoqiang Xia, Xiaoyi Feng, Xiaopeng Hong, Guoying Zhao: Spontaneous Facial Micro-expression Recognition via Deep Convolutional Network. IPTA 2018: 1-6 Jie Li, Rongrong Ji, Hong Liu, Xiaopeng Hong, Yue Gao, Qi Tian: Universal Perturbation Attack Against Image Retrieval. CoRR abs/1812.00552 (2018) Yuan Zong, Wenming Zheng, Xiaopeng Hong, Chuangao Tang, Zhen Cui, Guoying Zhao: Cross-Database Micro-Expression Recognition: A Benchmark. CoRR abs/1812.07742 (2018) Yue Ming, Guangchao Wang, Xiaopeng Hong: Spatial-temporal texture features for 3D human activity recognition using laser-based RGB-D videos. KSII Trans. Internet Inf. Syst. 11(3): 1595-1613 (2017) Qing Liu, Xiaopeng Hong, Beiji Zou, Jie Chen, Zailiang Chen, Guoying Zhao: Hierarchical Contour Closure-Based Holistic Salient Object Detection. IEEE Trans. Image Process. 26(9): 4537-4552 (2017) Thuong-Khanh Tran, Xiaopeng Hong, Guoying Zhao: Sliding Window Based Micro-expression Spotting: A Benchmark. ACIVS 2017: 542-553 Lei Tian, Xiaopeng Hong, Guoying Zhao, Chunxiao Fan, Yue Ming, Matti Pietik?inen: PCANet-II: When PCANet Meets the Second Order Pooling. CoRR abs/1710.00166 (2017) Xiaopeng Hong, Thuong-Khanh Tran, Guoying Zhao: Micro-Expression Spotting: A Benchmark. CoRR abs/1710.02820 (2017) Xianbiao Qi, Chun-Guang Li, Guoying Zhao, Xiaopeng Hong, Matti Pietik?inen: Dynamic texture and scene classification by transferring deep image features. Neurocomputing 171: 1230-1241 (2016) Xiaohua Huang, Guoying Zhao, Xiaopeng Hong, Wenming Zheng, Matti Pietik?inen: Spontaneous facial micro-expression analysis using Spatiotemporal Completed Local Quantized Patterns. Neurocomputing 175: 564-578 (2016) Xiaopeng Hong, Guoying Zhao, Stefanos Zafeiriou, Maja Pantic, Matti Pietik?inen: Capturing correlations of local features for image representation. Neurocomputing 184: 99-106 (2016) Yue Ming, Xiaopeng Hong: A unified 3D face authentication framework based on robust local mesh SIFT feature. Neurocomputing 184: 117-130 (2016) Bineng Zhong, Xiangnan Yang, Yingju Shen, Cheng Wang, Tian Wang, Zhen Cui, Hongbo Zhang, Xiaopeng Hong, Duansheng Chen: Higher order partial least squares for object tracking: A 4D-tracking method. Neurocomputing 215: 118-127 (2016) Hanjie Wang, Xiujuan Chai, Xiaopeng Hong, Guoying Zhao, Xilin Chen: Isolated Sign Language Recognition with Grassmann Covariance Matrices. ACM Trans. Access. Comput. 8(4): 14:1-14:21 (2016) Xiaopeng Hong, Yingyue Xu, Guoying Zhao: LBP-TOP: A Tensor Unfolding Revisit. ACCV Workshops (1) 2016: 513-527 Lei Tian, Chunxiao Fan, Yue Ming, Xiaopeng Hong: Weighted Non-locally Self-similarity Sparse Representation for Face Deblurring. ACCV Workshops (1) 2016: 576-589 Jing Zhou, Xiaopeng Hong, Fei Su, Guoying Zhao: Recurrent Convolutional Neural Network Regression for Continuous Pain Intensity Estimation in Video. CVPR Workshops 2016: 1535-1543 Devangini Patel, Xiaopeng Hong, Guoying Zhao: Selective deep features for micro-expression recognition. ICPR 2016: 2258-2263 Xiaopeng Hong, Xianbiao Qi, Guoying Zhao, Matti Pietik?inen: Probing the Intra-Component Correlations within Fisher Vector for Material Classification. CoRR abs/1604.04473 (2016) Jing Zhou, Xiaopeng Hong, Fei Su, Guoying Zhao: Recurrent Convolutional Neural Network Regression for Continuous Pain Intensity Estimation in Video. CoRR abs/1605.00894 (2016) Yingyue Xu, Xiaopeng Hong, Guoying Zhao: Saliency Integration: An Arbitrator Model. CoRR abs/1608.01536 (2016) Zhiyuan Zha, Xin Liu, Xiaohua Huang, Xiaopeng Hong, Henglin Shi, Yingyue Xu, Qiong Wang, Lan Tang, Xinggan Zhang: Analyzing the group sparsity based on the rank minimization methods. CoRR abs/1611.08983 (2016) Yingyue Xu, Xiaopeng Hong, Qiuhai He, Guoying Zhao, Matti Pietik?inen: A Task-Driven Eye Tracking Dataset for Visual Attention Analysis. ACIVS 2015: 637-648 Qiuhai He, Xiaopeng Hong, Xiujuan Chai, Jukka Holappa, Guoying Zhao, Xilin Chen, Matti Pietik?inen: OMEG: Oulu Multi-Pose Eye Gaze Dataset. SCIA 2015: 418-427 Xianbiao Qi, Chun-Guang Li, Guoying Zhao, Xiaopeng Hong, Matti Pietik?inen: Dynamic texture and scene classification by transferring deep image features. CoRR abs/1502.00303 (2015) Xiaobai Li, Xiaopeng Hong, Antti Moilanen, Xiaohua Huang, Tomas Pfister, Guoying Zhao, Matti Pietik?inen: Reading Hidden Emotions: Spontaneous Micro-expression Spotting and Recognition. CoRR abs/1511.00423 (2015) Bineng Zhong, Xiaotong Yuan, Rongrong Ji, Yan Yan, Zhen Cui, Xiaopeng Hong, Yan Chen, Tian Wang, Duansheng Chen, Jiaxin Yu: Structured partial least squares for simultaneous object tracking and segmentation. Neurocomputing 133: 317-327 (2014) Ziheng Zhou, Guoying Zhao, Xiaopeng Hong, Matti Pietik?inen: A review of recent advances in visual speech decoding. Image Vis. Comput. 32(9): 590-605 (2014) Ziheng Zhou, Xiaopeng Hong, Guoying Zhao, Matti Pietik?inen: A Compact Representation of Visual Speech Data Using Latent Variables. IEEE Trans. Pattern Anal. Mach. Intell. 36(1): 1 (2014) Xiaopeng Hong, Guoying Zhao, Matti Pietik?inen, Xilin Chen: Combining LBP Difference and Feature Correlation for Texture Description. IEEE Trans. Image Process. 23(6): 2557-2568 (2014) Qiuhai He, Guoying Zhao, Xiaopeng Hong, Xinyuan Huang: An immersive fire training system using kinect. UbiComp Adjunct 2014: 231-234 Xiaohua Huang, Qiuhai He, Xiaopeng Hong, Guoying Zhao, Matti Pietik?inen: Improved Spatiotemporal Local Monogenic Binary Pattern for Emotion Recognition in The Wild. ICMI 2014: 514-520 Xiaopeng Hong, Guoying Zhao, Matti Pietik?inen: Pose Estimation via Complex-Frequency Domain Analysis of Image Gradient Orientations. ICPR 2014: 1740-1745 Juha Ylioinas, Abdenour Hadid, Xiaopeng Hong, Matti Pietik?inen: Age Estimation Using Local Binary Pattern Kernel Density Estimate. ICIAP (1) 2013: 141-150 Xiaohua Huang, Guoying Zhao, Xiaopeng Hong, Matti Pietik?inen, Wenming Zheng: Texture Description with Completed Local Quantized Patterns. SCIA 2013: 1-10 Juha Ylioinas, Xiaopeng Hong, Matti Pietik?inen: Constructing Local Binary Pattern Statistics by Soft Voting. SCIA 2013: 119-130 Xiaopeng Hong, Guoying Zhao, Haoyu Ren, Xilin Chen: Efficient Boosted Weak Classifiers for Object Detection. SCIA 2013: 205-214 Xiaopeng Hong, Guoying Zhao, Matti Pietik?inen, Xilin Chen: Combining local and global correlation for texture description. ICPR 2012: 2756-2759

学术兼职

2023国际计算智能最新进展会议 (NTCI 2023)程序委员会主席 中国模式识别与计算机视觉学术大会(PRCV)2023 学术论坛主席 中国情感智能大会(CEI)2023 讲习班主席 黑龙江省计算机学会学术工作委员会副主任(2023-)、奖励工作委员会秘书长(2023-) 图像图形学会情感计算与理解专业委员会副秘书长、常务委员(2021-) IEEE资深会员(Senior member) 视觉与学习青年学者研讨会(VALSE) 资深领域主席(2023-)、执行领域主席(2021-2023)、VALSE2023 研讨会共同主席 图像图形学会青年工作委员会委员 CCF-A、B类国际会议IJCAI、AAAI、ACM MM、ICME的领域主席(AC)或资深程序委员(SPC) 2022 图像处理与媒体计算国际会议(ICIPM2022)技术程序委员会主席(TPC Chair) 曾获国际期刊Pattern Recognition(2017)等的杰出审稿人称号 与包括国际模式识别协会终身成就奖得主Matti Pietikainen教授和英国皇家工程院院士Maja Pantic教授等国际同行先后在主流国际会议上举办了六场专题研讨会和两场讲习班 Image and Vision Computing期刊编委,Pattern Recognition Letter 和Signal, Image and Video Processing等期刊的客座编委 《西安交通大学学报》青年编委

推荐链接
down
wechat
bug