Welcome to Xiaopeng Zhang's Homepage

Xiaopeng Zhang   Ph.D

Senior Researcher,

Huawei Noah's Ark Lab

Email: zxphistory(at)gmail(dot)com


 About me

I am currently a Senior Researcher at Huawei Noah's Ark Lab, Shanghai. Before that, I was a Research Fellow from 2017 to 2019 with the Department of Electrical and Computer Engineering at National University of Singapore, a member of Learning and Vision Lab under the supervision of Jiashi Feng and Shuicheng Yan. I finished my PhD in Electronic Engineering from Shanghai Jiao Tong University in 2017, under the supervision of Pro.  Hongkai Xiong and Pro.  Qi Tian.  My research interests are focused on computer vision and machine learning. Now I am leading a computer vision research team in Noah Ark Lab, working on 2D/3D detection related problems in autonomous driving.

I am always recruiting highly motivated interns (PhD preferred) focusing on data efficient and  engery effieient 2D/3D detection, scopes include (but not limited to) self-supervised learning, multi-modal learning, network optimization, data augmentation etc. We offer sufficient computing resouces and competive benefits. if you are interested, please drop me an email. 

Recent News 


L. Peng, Y. Yang, X. Zhang, Y. Ji, H. Lu, H. Shen. Answer Again: Improving VQA with Cascaded-Answering Model, IEEE Transactions on Knowledge and Data Engineering

L. Yuan, T. Wang, X. Zhang, F. Tay, Z. Jie, W. Liu, J. Feng. Central Similarity Hashing for Efficient Image and Video Retrieval. CVPR 2020.

Y. Xu, L. Xie, X. Zhang, X. Chen, G. Qi, Q. Tian, H. Xiong, PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search, accepted by International Conference on Learning Representations (ICLR), 2020.

Y. Zhang, W. Dai, M. Xu, J. Zou, X. Zhang, H. Xiong, Depth Estimation from Light Field Using Graph-Based Structure-Aware Analysis, accepted by IEEE Transactions on Circuits and Systems for Video Technology, 2019.

X. Zhang, Y. Yang, H. Xiong, J. Feng. PML-LocNet: Improving Object Localization with Prior-induced Multi-view Learning Network. accepted by IEEE Transactions on Image Processing.

X. Zhang, Y. Yang, J. Feng. Learning to Localize Objects with Noisy Labeled Instances. AAAI Conference on Artificial Intelligence (AAAI), 2019.

X. Zhang, Y. Yang, J. Feng. ML-LocNet: Improving Object Localization with Multi-view Learning Network. European Conference on Computer Vision (ECCV), 2018.

X. Zhang, J. Feng, H. Xiong, and Q. Tian, Zigzag Learning for Weakly Supervised Object Detection, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018. 

X. Zhang, H. Xiong, W. Lin, and Q. Tian, Weak to Strong Detector Learning for Simultaneous Classification and Localization, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), accepted, Jan. 2018.

X. Zhang, H. Xiong, W. Zhou, W. Lin and Q. Tian, Picking Neural Activations for Fine-grained Recognition, IEEE Transactions on Multimedia (TMM),  vol. 19, no. 12, pp. 2736-2750, Dec. 2017.

S. Ni, X. Zhang, B. Wang, and H. Xiong, Webly-supervised Visual Concept Learning with Cardinality Guided Instance Mining and Clustered Multitask Refinement, IEEE International Conference on Multimedia and Expo (ICME), Hong Kong, July 2017.

X. Zhang, H. Xiong, W. Zhou, W. Lin and Q. Tian, Picking Deep Filter Responses for Fine-grained Image Recognition, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1134-1142, Jun. 2016. 

X. Zhang, H. Xiong, W. Zhou, and Q. Tian, Fused One-vs-All Features with Semantic Alignments for Fine-Grained Visual Categorization, IEEE Transactions on Image Processing (TIP), vol. 25, no. 2, pp. 878-892, Feb. 2016.

X. Zhang, H. Xiong, W. Zhou, and Q. Tian, Fused One-vs-All Mid-Level Features for Fine-Grained Visual Categorization, ACM Multimedia, Full paper,  pp. 287-296, Nov. 2014.

H. Wang, X. Zhang, H. Xiong, Spatio-Temporal Coherence for 3-D View Synthesis with Curve-Based Disparity Warping, IEEE International Conference on Visual Communication and Image Processing (VCIP), pp. 177-180, Dec. 2014. Best Student Paper Award

X. Zhang, H. Xiong, Multiscale Edge Coding and Adaptive Lifting for Depth Maps Coding in 3-D Video, Data Compression Conference (DCC), pp. 439-439, Mar. 2014.

X. Zhang, H. Xiong, Illumination Compensation via Low Rank Matrix Completion for Multiview Video Coding, IEEE International Conference on Image Processing (ICIP), pp. 1865-1869, Sept. 2013.

X. Zhang, H. Xiong, A Scalable Depth Coding with Arc Breakpoints based Synthesis in 3-D Video, IEEE International Symposium on Multimedia Systems and Broadcasting (BMSB), pp. 1-5, Jun. 2013.