Publications

Please refer to (Google Scholar Profile) and (DBLP Profile) for the full list of my publications.

BOOK

Yihong Gong and Xiaopeng Hong. Introduction to Cognitive Science and Brain-Computer Interface (In Chinese). Xi’dian University Press, Nov. 2020.

Journal Article (Selected)

Beyond Universal Person Re-Identification Attack,
W. Ding, X. Wei, R. Ji, X. Hong, Q. Tian and Y. Gong, IEEE Transactions on Information Forensics and Security, vol. 16, pp. 3442-3455, 2021, doi: 10.1109/TIFS.2021.3081247. IEEE TIFS, 2021. (NEW)

Analogy-Detail Networks for Object Recognition.
X. Tao, X. Hong, W. Shi, X. Chang, Y. Gong. IEEE Transactions on Neural Networks and Learning Systems, 2020, DOI: 10.1109/TNNLS.2020.3017692. IEEE TNNLS, 2020.

Transductive semi-supervised metric learning for person re-identification.
X. Chang, Z. Ma, X. Wei, X. Hong, Y. Gong. Pattern Recognition, Vol. 108, 107569, 2020. Pattern Recognit., 2020.

Multi-Target Multi-Camera Tracking by Tracklet-to-Target Assignment.
Y. He#, X. Wei#, X. Hong, W. Shi, Y. Gong. IEEE Transactions on Image Processing, Vol. 29, pp. 5191-5205, 2020. IEEE TIP, 2020.

Characterizing Subtle Facial Movements via Riemannian Manifold.
X. Hong; W. Peng; M. Harandi; Z. Zhou; M. Pietikäinen, and G. Zhao. ACM Transactions on Multimedia Computing Communications and Applications, Vol. 15, No. 3s, pp. 1-24, ACM TOMM, 2019.

Saliency integration: An arbitrator model.
Xu, Y.*, Hong, X.*, Porikli, F., Liu, X., Chen, J. and Zhao, G.. IEEE Transactions on Multimedia, 21(1), pp.98-113, IEEE TMM, 2019.

Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-expression Spotting and Recognition Methods.
Xiaobai Li (student), Xiaopeng Hong, Antti Moilanen, Xiaohua Huang, Thomas Pfister, Guoying Zhao, Matti Pietikäinen. IEEE Transactions on Affective Computing, Vol. 9, No. 4, pp. 563-577, IEEE TAFFC, 2018. Reports from MIT Technology Review and DailyMail

Hierarchical Contour Closure based Holistic Salient Object Detection.
Qing Liu (student), Xiaopeng Hong, Beiji Zou, Jie Chen, Zailiang Chen, and Guoying Zhao. IEEE Transactions on Image Processing, vol. 26, no. 9, pp. 4537 – 4552, 2017. IEEE TIP, 2017.

A Compact Representation of Visual Speech Data Using Latent Variables.
Ziheng Zhou, Xiaopeng Hong, Guoying Zhao, and Matti Pietikäinen.
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.36, no.1, 2014. IEEE TPAMI, 2014.

Combining LBP Difference and Feature Correlation for Texture Description.
Xiaopeng Hong, Guoying Zhao, Matti Pietikäinen, and Xilin Chen.
IEEE Transactions on Image Processing, vol.23, no. 6, 2557–2568, 2014. IEEE TIP, 2014. [pdf][Matlab Codes]

Conference Papers (Selected)

H. Lin, X. Hong, Z. Ma, X. Wei, Y. Qiu, Y. Wang, ​Y. Gong. Direct Measure Matching for Crowd Counting. IJCAI 2021. (NEW)

Z. Ma, X. Wei, X. Hong, H. Lin, Y. Qiu, Y. Gong. Learning to Count via Unbalanced Optimal Transport. AAAI 2021.

Y. He, Z. Ma, X. Wei, X. Hong, W. Ke, Y. Gong. Error-Aware Density Isomorphism Reconstruction for Unsupervised Cross-Domain Crowd Counting. AAAI 2021.

S. Dong#, X. Hong#, X. Tao, X. Chang, X. Wei, Y. Gong. Few-Shot Class-Incremental Learning via Relation Knowledge Distillation. AAAI 2021.

X. Wei, D. Li, X. Hong, W. Ke, Y. Gong. Co-Attentive Lifting for Infrared-Visible Person Re-Identification. ACM Multimedia 2020.

Z. Ma, X. Wei, X. Hong, Y. Gong. Learning Scales from Points: A Scale-aware Probabilistic Model for Crowd Counting. ACM Multimedia 2020.

Y. Zhou, R. Ji, X. Sun, G. Luo, X. Hong, J. Su, X. Ding, L. Shao. K-armed Bandit based Multi-Modal Network Architecture Search for Visual Question Answering. ACM Multimedia 2020.

X. Tao#, X. Chang#, X. Hong, X. Wei, Y. Gong. Topology-Preserving Class-Incremental Learning. ECCV 2020.

X. Tao, X. Hong, X. Chang, X. Wei, Y. Gong. Few-Shot Class-Incremental Learning. IEEE/CVF CVPR 2020.

Y. Shen, R. Ji, Z. Chen, X. Hong, F. Zheng, J. Liu, M. Xu, Q. Tian. Noise-Aware Fully Webly Supervised Object Detection. IEEE/CVF CVPR 2020.

X. Tao, X. Hong, X. Chang, Y. Gong. Bi-objective Continual Learning: Learning ‘New’ while Consolidating ‘Known’. AAAI Conference on Artificial Intelligence, AAAI2020.

D. Li, X. Wei, X. Hong, Y. Gong. Infrared-Visible Cross-Modal Person Re-Identification with an X Modality. AAAI Conference on Artificial Intelligence, AAAI2020.

W. Peng, X. Hong, H. Chen, G. Zhao. Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching. AAAI Conference on Artificial Intelligence, AAAI2020.

Z. Ma#, X. Wei#, X. Hong, Y. Gong. Bayesian Loss for Crowd Count Estimation with Point Supervision. International Conference on Computer Vision (ICCV), Seoul, Korea​, 2019.

J. Li, R. Ji, H. Liu, X. Hong, Y. Gao, Q. Tian. Universal Perturbation Attacking against Image Retrieval. International Conference on Computer Vision (ICCV), Seoul, Korea​, 2019.

Z. Yu, W. Peng, X. Li, X. Hong, G. Zhao. Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement. International Conference on Computer Vision (ICCV), Seoul, Korea​, 2019.

Y. Xu, D. Xu, X. Hong, W. Ouyang, R. Ji, M. Xu, and G. Zhao. Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection . International Conference on Computer Vision (ICCV), Seoul, Korea​, 2019.

Jing Zhou, Xiaopeng Hong, Fei Su, Guoying Zhao. Recurrent Convolutional Neural Network Regression for Continuous Pain Intensity Estimation in Video. IEEE CVPR Workshop of Affect “in-the-wild,” 2016.

Qiuhai He, Xiaopeng Hong, Guoying Zhao, and Xinyuan Huang. An Immersive Fire Training System Using Kinect. Proc. the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2014).

Xiaopeng Hong, Hong Chang, Shiguang Shan, Xilin Chen, and Wen Gao. Sigma set: A small second order statistical region descriptor. Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1802-1809, 2009.

[# denotes equal contribution]