硕士生导师
张杰 副研究员 (Associate Professor)
电子邮箱: zhangjie@ict.ac.cn;jie.zhang@vipl.ict.ac.cn
通讯地址:
研究方向: 计算机视觉,模式识别,机器学习
个人简介

2017年中科院计算技术研究所博士毕业,现任中科院计算技术研究所副研究员,硕士生导师,研究方向为深度学习技术及其在计算机视觉领域的应用,主要从事人脸识别、图像分割、弱/半监督学习、生成对抗学习和多/跨模态学习等基础研究和应用研究。在计算机视觉领域知名会议和期刊ICCV, CVPR,ECCV和PR等上发表学术论文15篇,谷歌学术引用1100余次(2021.11)。相关研究成果在华为主流手机(Mate20,P20,Nova3)、社保异地认证、安防监控等产品中得到实际应用,2016-2017连续两年荣获华为优秀合作奖。SeetaFace开源引擎的作者之一,获得授权国家发明专利2项,申请发明专利8项,软著2项。曾获得计算机视觉领域相关国际竞赛1次冠军和2次亚军。担任TPAMI,IJCV,TIP,TMM,TNNLS,CVPR,ICCV,ECCV等领域知名国际期刊和会议的审稿人。

获奖情况:

2018,AI Challenge农作物病虫害检测(5/500+)

2017,  IEEE CVPR "Landmark Detection Track of Faces in-the-wild Challenge", 2nd Place

2017,  ACM MM "Kinship Recognition Track of Recognizing Families In the Wild Data Challenge", 1st Place

2015,  IEEE ICCV "Apparent Age Estimation Track of ChaLearn Looking at People", 2nd Place

2016,中科院计算所最高奖学金所长特别奖(夏培肃奖学金) 

2015,国家奖学金博士生奖  


研究生招生:

通常每年秋季招收1名硕士生,欢迎有计算机视觉、深度学习基础的同学前来客座! 

For more information, please refer to https://jiezhang010.github.io/


经历

教育经历

2007.09-2011.07 中国地质大学(武汉) 软件工程 学士

2011.09-2017.07 中科院计算所 计算机应用技术 博士

学术经历

2019.09至今 中国科学院计算技术研究所,副研究员

2017.07-2019.09 中国科学院计算技术研究所,助理研究员


学术服务

刊物服务

IEEE T-PAMI, IJCV, IEEE T-IP, IEEE T-MM, IEEE T-NNLS, IEEE T-CSVT, Neurocomputing

会议服务

CVPR'19, ICCV'19, ICIP'16, ICIP'18


研究内容

1.   生成对抗学习


2.   弱监督学习


3.   深度增量学习


4.   小样本条件下深度学习方法研究


5.   静默活体检测


6.   RGBD人脸识别、跨模态人脸识别


著论

论文

Mingjie He, Jie Zhang, Shiguang Shan, Xiao Liu, Zhongqin Wu, Xilin Chen. Locality-aware Channel-wise Dropout for Occluded Face Recognition. IEEE TIP 2021. (Accepted)

Yunpei Jia, Jie Zhang, Shiguang Shan. Dual-Branch Meta-learning Network with Distribution Alignment for Face Anti-spoofing. IEEE TFIS 2021. (Accepted)

Yunpei Jia, Jie Zhang, Shiguang Shan, Xilin Chen. Unified unsupervised and semi-supervised domain adaptation network for cross-scenario face anti-spoofing. PR 2021.

Kunyan Li, Jie Zhang, Shiguang Shan. Learning Shape-Appearance Based Attributes Representation for Facial Attribute Recognition with Limited Labeled Data. FG 2021.

Liang Shi, Jie Zhang, Chenyue Liang, Shiguang Shan. Unknown Aware Feature Learning for Face Forgery Detection. FG 2021.

Zheng Yuan, Jie Zhang, Yunpei Jia, Chuanqi Tan, Tao Xue, Shiguang Shan. Meta Gradient Adversarial Attack. ICCV 2021.

Yude Wang, Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen. Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation. CVPR 2020

Yunpei Jia, Jie Zhang, Shiguang Shan, Xilin Chen. Single-Side Domain Generalization for Face Anti-Spoofing. CVPR 2020

Changzhen Li, Jie Zhang, Shiguang Shan, Xilin Chen. PAS-Net: Pose-based and Appearance-based Spatiotemporal Networks Fusion for Action Recognition. FG 2020

Mingjie He, Jie Zhang, Shiguang Shan, Meina Kan, Xilin Chen. Deformable Face Net for Pose Invariant Face Recognition. Pattern Recognition (PR) 2019

Jie Zhang, Xiaowei Zhao, Meina Kan, Shiguang Shan, Xiujuan Chai, Xilin Chen. Locality-constrained framework for face alignment. FCS 2019

Jinghui Wang, Jie Zhang, Zijia Lu, Shiguang Shan. DFT-Net: Disentanglement of Face Deformation and Texture Synthesis for Expression Editing. ICIP 2019

Feng Jiang, Jie Zhang, Liping Yan, Yuanqing Xia, Shiguang Shan. A Three-Category Face Detector with Contextual Information on Finding Tiny Faces. ICIP 2018

Zhenliang He, Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen. Robust fec-cnn: A high accuracy facial landmark detection system, CVPRW 2017

Zhenliang He, Meina Kan, Jie Zhang, Xilin Chen, Shiguang Shan. A Fully End-to-End Cascaded CNN for Facial Landmark Detection. FG 2017

Yong Li, Jiabei Zeng,Jie Zhang, Anbo Dai, Meina Kan, Shiguang Shan, Xilin Chen. KinNet: Fine-to-Coarse Deep Metric Learning for Kinship Verification. ACM MMW 2017

Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen. Occlusion-free Face Alignment: Deep Regression Networks Coupled with De-corrupt AutoEncoders. The International Conference on Computer Vision and Pattern Recognition. CVPR 2016

Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen. Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network. The International Conference on Computer Vision. ICCV 2015

Jie Zhang, Shiguang Shan, Meina Kan, Xilin Chen. Coarse-to-Fine Auto-encoder Networks (CFAN) for Real-time Face Alignment. European Conference on Computer Vision. ECCV 2014

Jie Zhang, Meina Kan, Shiguang Shan, Xiaowei Zhao, and Xilin Chen. Topic-aware Deep Auto-encoders (TDA) for Face Alignment. Asian Conference on Computer Vision. ACCV 2014

Xin Liu, Shaoxin Li, Meina Kan, Jie Zhang, et al. AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation. ICCVW 2015