Unsupervised Scale-Consistent Depth Learning from Video

Journal paper
Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Zhichao Li, Le Zhang, Chunhua Shen, Ming-Ming Cheng, Ian Reid
International Journal of Computer Vision (2021). https://doi.org/10.1007/s11263-021-01484-6
Publication year: 2021

Two-Stream Convolution Augmented Transformer for Human Activity Recognition

Conference paper
Bing Li, Wei Cui, Wei Wang, Le Zhang, Zhenghua Chen and Min Wu
AAAI , 2021
Publication year: 2021

Semantic Edge Detection with Diverse Deep Supervision

Journal paper
Yun Liu, Ming-Ming Cheng, Deng-Ping Fan, Le Zhang, Jia-Wang Bian, and Dacheng Tao
International Journal of Computer Vision
Publication year: 2021

SAMNet: Stereoscopically Attentive Multi-Scale Network for Lightweight Salient Object Detection

Journal paper
Yun Liu, Xin-Yu Zhang, Jia-Wang Bian, Le Zhang, Ming-Ming Cheng
IEEE Transactions on Image Processing, vol. 30, pp. 3804-3814, 2021, doi: 10.1109/TIP.2021.3065239
Publication year: 2021

Regularized Densely-Connected Pyramid Network for Salient Instance Segmentation

Journal paper
Yu-Huan Wu, Yun Liu, Le Zhang, Wang Gao, and Ming-Ming Cheng
IEEE Transactions on Image Processing, vol. 30, pp. 3897-3907, 2021, doi: 10.1109/TIP.2021.3065822
Publication year: 2021

Privacy-Preserving Cross-Environment Human Activity Recognition

Journal paper
Le Zhang, Wei Cui, Bing Li, Zhenghua Chen, Min Wu and Teo Sin Gee
IEEE Transactions on Cybernetics (2021)
Publication year: 2021

On Automatic Data Augmentation for 3D Point Cloud Classification

Conference paper
Wanyue Zhang, Xun Xu, Fayao Liu, Le Zhang, Chuan Sheng Foo
BMVC
Publication year: 2021

Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer

Conference paper
Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang
Advances in Neural Information Processing Systems (Neurips)
Publication year: 2021

Learning Clustering for Motion Segmentation

Journal paper
Xun Xu, Loong-Fah Cheong, Zhuwen Li, Le Zhang and Ce Zhu
IEEE Transactions on Circuits and Systems for Video Technology, doi: 10.1109/TCSVT.2021.3069094
Publication year: 2021

Exploring Structural Knowledge for Automated Visual Inspection of Moving Trains

Journal paper
Cen Chen, Xiaofeng Zou, Zeng Zeng, Zhongyao Cheng, Le Zhang, Steven C. H. Hoi
IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2020.2998126.
Publication year: 2021

Bayesian voxdrn: A Probabilistic Deep Voxelwise Dilated Residual Network for Whole Heart Segmentation from 3D MR Images

Conference paper
Zenglin Shi, Guodong Zeng, Le Zhang, Xiahai Zhuang,Lei Li, Guang Yang, Guoyan Zheng
In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 569-577. Springer, Cham, 2018
Publication year: 2021

WiFi-Based Indoor Robot Positioning Using Deep Fuzzy Forests

Journal paper
Le Zhang, Zhenghua Chen, Wei Cui, Bing Li, Cen Chen, Zhiguang Cao, Kaizhou Gao
IEEE Internet of Things Journal, vol. 7, no. 11, pp. 10773-10781, Nov. 2020, doi: 10.1109/JIOT.2020.2986685
Publication year: 2020

Using reinforcement learning to minimize the probability of delay occurrence in transportation

Journal paper
Zhiguang Cao , Hongliang Guo , Wen Song, Kaizhou Gao, Zhenghua Chen , Le Zhang, and Xuexi Zhang
IEEE Transactions on Vehicular Technology, vol. 69, no. 3, pp. 2424-2436, March 2020, doi: 10.1109/TVT.2020.2964784
Publication year: 2020

PersEmoN: a deep network for joint analysis of apparent personality, emotion and their relationship

Journal paper
Le Zhang, Songyou Peng, Stefan Winker
IEEE Transactions on Affective Computing, doi: 10.1109/TAFFC.2019.2951656
Publication year: 2020

Ordered or Orderless: A Revisit for Video based Person Re-Identification

Journal paper
Le Zhang, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 4, pp. 1460-1466, doi: 10.1109/TPAMI.2020.2976969.
Publication year: 2020

Locality-Aware Crowd Counting

Journal paper
Joey Tianyi Zhou, Le Zhang*, Jiawei Du, Xi Peng, Zhiwen Fang, Zhe Xiao, Hongyuan Zhu
IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. , no. 01, pp. 1-1, 5555. doi: 10.1109/TPAMI.2021.3056518
Publication year: 2020

GMS: Grid-Based Motion Statistics for Fast, Ultra-robust Feature Correspondence

Journal paper
Jia-Wang Bian, Wen-Yan Lin, Yun Liu, Le Zhang , Sai-Kit Yeung, Ming-Ming Cheng, Ian Reid
International Journal of Computer Vision, 1580–1593 (2020). https://doi.org/10.1007/s11263-019-01280-3
Publication year: 2020

Attention-Driven Loss for Anomaly Detection in Video Surveillance

Journal paper
Joey Tianyi Zhou, Le Zhang*, Zhiwen Fang, Jiawei Du, Xi Peng, Yang Xiao
IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 12, pp. 4639-4647, doi: 10.1109/TCSVT.2019.2962229
Publication year: 2020

WiFi CSI Based Passive Human Activity Recognition Using Attention Based BLSTM

Journal paper
Zhenghua Chen , Le Zhang , Chaoyang Jiang , Zhiguang Cao, and Wei Cui
IEEE Transactions on Mobile Computing, vol. 18, no. 11, pp. 2714-2724, 1 Nov. 2019, doi: 10.1109/TMC.2018.2878233
Publication year: 2019

Richer Convolutional Features for Edge Detection

Journal paper
Yun Liu, Ming-Ming Cheng, Xiaowei Hu, Jia-Wang Bian, Le Zhang, Xiang Bai, Jinhui Tang
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 8, pp. 1939-1946, 1 Aug. 2019, doi: 10.1109/TPAMI.2018.2878849.
Publication year: 2019

Nonlinear Regression Via Deep Negative Correlation Learning

Journal paper
Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng and Zeng Zeng
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 3, pp. 982-998, doi: 10.1109/TPAMI.2019.2943860.
Publication year: 2019

Contrast prior and fluid pyramid integration for RGBD salient object detection

Conference paper
Jia-Xing Zhao, Yang Cao, Deng-Ping Fan, Ming-Ming Cheng, Xuan-Yi Li, Le Zhang
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 3927-3936. 2019
Publication year: 2019

Kernel Cross-Correlator

Conference paper
Chen Wang, Le Zhang, Lihua Xie, Junsong Yuan
In AAAI Conference on Artificial Intelligence (AAAI-18), pages 4179-4186. Feb. 2018
Publication year: 2018

Historical Context-based Style Classification of Painting Images via Label Distribution Learning

Conference paper
Jufeng Yang, Liyi Chen, Le Zhang, Xiaoxiao Sun, Dongyu She, Shao-Ping Lu, Ming-Ming Cheng
in Proceedings of the 26th ACM international conference on Multimedia (pp. 1154-1162)
Publication year: 2018

DEL: Deep Embedding Learning for Efficient Image Segmentation

Conference paper
Yun Liu, Peng-Tao Jiang, Vahan Petrosyan, Shi-Jie Li, Jiawang Bian, Le Zhang, Ming-Ming Cheng
In IJCAI, vol. 864, p. 870. 2018
Publication year: 2018

Crowd Counting with Deep Negative Correlation Learning

Conference paper
Zenglin Shi, Le Zhang*, Yun Liu, Xiaofeng Cao, Yangdong Ye, Ming-Ming Cheng and Guoyan Zheng
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 5382-5390)
Publication year: 2018

Robust Visual Tracking Using Oblique Random Forests

Conference paper
Le Zhang, Jagannadan Varadarajan, Ponnuthurai Nagaratnam Suganthan, Narendra Ahuja and Pierre Moulin
In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 5589-5598. 2017
Publication year: 2017

Benchmarking Ensemble Classifiers with Novel Co-trained Kernel Ridge Regression and Random Vector Functional link Ensembles [research frontier]

Journal paper
Le Zhang, P.N. Suganthan
IEEE Computational Intelligence Magazine, vol. 12, no. 4, pp. 61-72, Nov. 2017, doi: 10.1109/MCI.2017.2742867
Publication year: 2017