Fan Zhu

ORCID

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 94

Top Venues

CoRR

CVPR

IEEE Trans. Neural Networks Learn. Syst.

ACM Multimedia

Publications

Yichao Yan, Jie Qin, Bingbing Ni, Jiaxin Chen, Li Liu, Fan Zhu, Wei-Shi Zheng, Xiaokang Yang, Ling Shao
Learning Multi-Attention Context Graph for Group-Based Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
Normalization Techniques in Training DNNs: Methodology, Analysis and Application. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Guo-Sen Xie, Zheng Zhang, Guoshuai Liu, Fan Zhu, Li Liu, Ling Shao, Xuelong Li
Generalized Zero-Shot Learning With Multiple Graph Adaptive Generative Networks. IEEE Trans. Neural Networks Learn. Syst. 33 (7) (2022)
Huan Xiong, Mengyang Yu, Li Liu, Fan Zhu, Jie Qin, Fumin Shen, Ling Shao
A Generalized Method for Binary Optimization: Convergence Analysis and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Yichao Yan, Jinpeng Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan Zhu, Ling Shao
Anchor-Free Person Search. CVPR (2021)
Chengcheng Yang, Dong Deng, Shuo Shang, Fan Zhu, Li Liu, Ling Shao
Correction to: Internal and external memory set containment join. VLDB J. 30 (5) (2021)
Bing Wang, Changhao Chen, Zhaopeng Cui, Jie Qin, Chris Xiaoxuan Lu, Zhengdi Yu, Peijun Zhao, Zhen Dong, Fan Zhu, Niki Trigoni, Andrew Markham
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching. CoRR (2021)
Yichao Yan, Jie Qin, Bingbing Ni, Jiaxin Chen, Li Liu, Fan Zhu, Wei-Shi Zheng, Xiaokang Yang, Ling Shao
Learning Multi-Attention Context Graph for Group-Based Re-Identification. CoRR (2021)
Hao Huang, Boulbaba Ben Amor, Xichan Lin, Fan Zhu, Yi Fang
Residual Networks as Flows of Velocity Fields for Diffeomorphic Time Series Alignment. CoRR (2021)
Bing Wang, Changhao Chen, Zhaopeng Cui, Jie Qin, Chris Xiaoxuan Lu, Zhengdi Yu, Peijun Zhao, Zhen Dong, Fan Zhu, Niki Trigoni, Andrew Markham
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching. ICCV (2021)
Hao Huang, Boulbaba Ben Amor, Xichan Lin, Fan Zhu, Yi Fang
G-VAE, a Geometric Convolutional VAE for ProteinStructure Generation. CoRR (2021)
Yichao Yan, Jingpeng Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan Zhu, Ling Shao
Anchor-Free Person Search. CoRR (2021)
Feng Chen, Nian Wang, Jun Tang, Fan Zhu
A feature disentangling approach for person re-identification via self-supervised data augmentation. Appl. Soft Comput. 100 (2021)
Yichao Yan, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ying Tai, Ling Shao
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification. CoRR (2021)
Lei Huang, Yi Zhou, Li Liu, Fan Zhu, Ling Shao
Group Whitening: Balancing Learning Efficiency and Representational Capacity. CVPR (2021)
Chengcheng Yang, Dong Deng, Shuo Shang, Fan Zhu, Li Liu, Ling Shao
Internal and external memory set containment join. VLDB J. 30 (3) (2021)
Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao
Controllable Orthogonalization in Training DNNs. CoRR (2020)
Jiaxin Chen, Jie Qin, Yuming Shen, Li Liu, Fan Zhu, Ling Shao
Learning Attentive and Hierarchical Representations for 3D Shape Recognition. ECCV (15) (2020)
Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, Ling Shao
On the Number of Linear Regions of Convolutional Neural Networks. ICML (2020)
Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao
Auto-Encoding Twin-Bottleneck Hashing. CVPR (2020)
Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
An Investigation into the Stochasticity of Batch Whitening. CoRR (2020)
Guo-Sen Xie, Zheng Zhang, Li Liu, Fan Zhu, Xu-Yao Zhang, Ling Shao, Xuelong Li
SRSC: Selective, Robust, and Supervised Constrained Feature Representation for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 31 (10) (2020)
Ionut Cosmin Duta, Li Liu, Fan Zhu, Ling Shao
Improved Residual Networks for Image and Video Recognition. CoRR (2020)
Diwen Wan, Fumin Shen, Li Liu, Fan Zhu, Lei Huang, Mengyang Yu, Heng Tao Shen, Ling Shao
Deep quantization generative networks. Pattern Recognit. 105 (2020)
Yuming Shen, Jie Qin, Lei Huang, Li Liu, Fan Zhu, Ling Shao
Invertible Zero-Shot Recognition Flows. ECCV (16) (2020)
Yichao Yan, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ying Tai, Ling Shao
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification. CVPR (2020)
Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
Normalization Techniques in Training DNNs: Methodology, Analysis and Application. CoRR (2020)
Ionut Cosmin Duta, Li Liu, Fan Zhu, Ling Shao
Improved Residual Networks for Image and Video Recognition. ICPR (2020)
Guo-Sen Xie, Li Liu, Fan Zhu, Fang Zhao, Zheng Zhang, Yazhou Yao, Jie Qin, Ling Shao
Region Graph Embedding Network for Zero-Shot Learning. ECCV (4) (2020)
Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao
Auto-Encoding Twin-Bottleneck Hashing. CoRR (2020)
Yazhou Yao, Jian Zhang, Fumin Shen, Li Liu, Fan Zhu, Dongxiang Zhang, Heng Tao Shen
Towards Automatic Construction of Diverse, High-Quality Image Datasets. IEEE Trans. Knowl. Data Eng. 32 (6) (2020)
Jun Xu, Yuan Huang, Ming-Ming Cheng, Li Liu, Fan Zhu, Zhou Xu, Ling Shao
Noisy-as-Clean: Learning Self-Supervised Denoising From Corrupted Image. IEEE Trans. Image Process. 29 (2020)
Lizhong Ding, Shizhong Liao, Yong Liu, Li Liu, Fan Zhu, Yazhou Yao, Ling Shao, Xin Gao
Approximate Kernel Selection via Matrix Approximation. IEEE Trans. Neural Networks Learn. Syst. 31 (11) (2020)
Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao
Layer-Wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs. ECCV (2) (2020)
Yingkun Hou, Jun Xu, Mingxia Liu, Guanghai Liu, Li Liu, Fan Zhu, Ling Shao
NLH: A Blind Pixel-Level Non-Local Method for Real-World Image Denoising. IEEE Trans. Image Process. 29 (2020)
Lei Huang, Xianglong Liu, Jie Qin, Fan Zhu, Li Liu, Ling Shao
Projection based weight normalization: Efficient method for optimization on oblique manifold in DNNs. Pattern Recognit. 105 (2020)
Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao
Controllable Orthogonalization in Training DNNs. CVPR (2020)
Rui Gao, Xingsong Hou, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Zhao Zhang, Ling Shao
Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning. IEEE Trans. Image Process. 29 (2020)
Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
An Investigation Into the Stochasticity of Batch Whitening. CVPR (2020)
Jun Xu, Yingkun Hou, Dongwei Ren, Li Liu, Fan Zhu, Mengyang Yu, Haoqian Wang, Ling Shao
STAR: A Structure and Texture Aware Retinex Model. IEEE Trans. Image Process. 29 (2020)
Yazhou Yao, Fumin Shen, Guo-Sen Xie, Li Liu, Fan Zhu, Jian Zhang, Heng Tao Shen
Exploiting Web Images for Multi-Output Classification: From Category to Subcategories. IEEE Trans. Neural Networks Learn. Syst. 31 (7) (2020)
Ionut Cosmin Duta, Li Liu, Fan Zhu, Ling Shao
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition. CoRR (2020)
Jiaxin Chen, Jie Qin, Yichao Yan, Lei Huang, Li Liu, Fan Zhu, Ling Shao
Deep Local Binary Coding for Person Re-Identification by Delving into the Details. ACM Multimedia (2020)
Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao
Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis. CoRR (2020)
Lei Huang, Li Liu, Fan Zhu, Ling Shao
Group Whitening: Balancing Learning Efficiency and Representational Capacity. CoRR (2020)
Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, Ling Shao
On the Number of Linear Regions of Convolutional Neural Networks. CoRR (2020)
Yuming Shen, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ziyi Shen
Embarrassingly Simple Binary Representation Learning. ICCV Workshops (2019)
Anran Zhang, Lei Yue, Jiayi Shen, Fan Zhu, Xiantong Zhen, Xianbin Cao, Ling Shao
Attentional Neural Fields for Crowd Counting. ICCV (2019)
Dong Deng, Chengcheng Yang, Shuo Shang, Fan Zhu, Li Liu, Ling Shao
LCJoin: Set Containment Join via List Crosscutting. ICDE (2019)
Yingkun Hou, Jun Xu, Mingxia Liu, Guanghai Liu, Li Liu, Fan Zhu, Ling Shao
NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising. CoRR (2019)
Huan Xiong, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao
Fast Large-Scale Discrete Optimization Based on Principal Coordinate Descent. CoRR (2019)
Yuming Shen, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu
Embarrassingly Simple Binary Representation Learning. CoRR (2019)
Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
Iterative Normalization: Beyond Standardization towards Efficient Whitening. CoRR (2019)
Zhen Wei, Jingyi Zhang, Li Liu, Fan Zhu, Fumin Shen, Yi Zhou, Si Liu, Yao Sun, Ling Shao
Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling. CVPR (2019)
Lizhong Ding, Mengyang Yu, Li Liu, Fan Zhu, Yong Liu, Yu Li, Ling Shao
Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test. NeurIPS (2019)
Jun Xu, Mengyang Yu, Li Liu, Fan Zhu, Dongwei Ren, Yingkun Hou, Haoqian Wang, Ling Shao
STAR: A Structure and Texture Aware Retinex Model. CoRR (2019)
Jingyi Zhang, Zhen Wei, Ionut Cosmin Duta, Fumin Shen, Li Liu, Fan Zhu, Xing Xu, Ling Shao, Heng Tao Shen
Generative Reconstructive Hashing for Incomplete Video Analysis. ACM Multimedia (2019)
Chengcheng Yang, Lisi Chen, Shuo Shang, Fan Zhu, Li Liu, Ling Shao
Toward Efficient Navigation of Massive-Scale Geo-Textual Streams. IJCAI (2019)
Anran Zhang, Jiayi Shen, Zehao Xiao, Fan Zhu, Xiantong Zhen, Xianbin Cao, Ling Shao
Relational Attention Network for Crowd Counting. ICCV (2019)
Guo-Sen Xie, Li Liu, Xiaobo Jin, Fan Zhu, Zheng Zhang, Jie Qin, Yazhou Yao, Ling Shao
Attentive Region Embedding Network for Zero-Shot Learning. CVPR (2019)
Yi Zhou, Xiaodong He, Shanshan Cui, Fan Zhu, Li Liu, Ling Shao
High-Resolution Diabetic Retinopathy Image Synthesis Manipulated by Grading and Lesions. MICCAI (1) (2019)
Jiaxin Chen, Jie Qin, Li Liu, Fan Zhu, Fumin Shen, Jin Xie, Ling Shao
Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing. CVPR (2019)
Yi Zhou, Xiaodong He, Lei Huang, Li Liu, Fan Zhu, Shanshan Cui, Ling Shao
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images. CVPR (2019)
Jun Xu, Yuan Huang, Li Liu, Fan Zhu, Xingsong Hou, Ling Shao
Noisy-As-Clean: Learning Unsupervised Denoising from the Corrupted Image. CoRR (2019)
Yi Zhou, Boyang Wang, Xiaodong He, Shanshan Cui, Fan Zhu, Li Liu, Ling Shao
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images. CoRR (2019)
Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
Iterative Normalization: Beyond Standardization Towards Efficient Whitening. CVPR (2019)
Syed Waqas Zamir, Aditya Arora, Akshita Gupta, Salman H. Khan, Guolei Sun, Fahad Shahbaz Khan, Fan Zhu, Ling Shao, Gui-Song Xia, Xiang Bai
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images. CoRR (2019)
Yazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Limin Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, Ling Shao
Dynamically Visual Disambiguation of Keyword-based Image Search. IJCAI (2019)
Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao
RANet: Ranking Attention Network for Fast Video Object Segmentation. CoRR (2019)
Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao
RANet: Ranking Attention Network for Fast Video Object Segmentation. ICCV (2019)
Syed Waqas Zamir, Aditya Arora, Akshita Gupta, Salman H. Khan, Guolei Sun, Fahad Shahbaz Khan, Fan Zhu, Ling Shao, Gui-Song Xia, Xiang Bai
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images. CVPR Workshops (2019)
Yazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Limin Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, Ling Shao
Dynamically Visual Disambiguation of Keyword-based Image Search. CoRR (2019)
Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen
Highly-Economized Multi-view Binary Compression for Scalable Image Clustering. ECCV (12) (2018)
Yang Long, Fan Zhu, Ling Shao, Junwei Han
Face recognition with a small occluded training set using spatial and statistical pooling. Inf. Sci. 430 (2018)
Diwen Wan, Fumin Shen, Li Liu, Fan Zhu, Jie Qin, Ling Shao, Heng Tao Shen
TBN: Convolutional Neural Network with Ternary Inputs and Binary Weights. ECCV (2) (2018)
Jin Xie, Guoxian Dai, Fan Zhu, Ling Shao, Yi Fang
Deep Nonlinear Metric Learning for 3-D Shape Retrieval. IEEE Trans. Cybern. 48 (1) (2018)
Rui Gao, Xingsong Hou, Jie Qin, Li Liu, Fan Zhu, Zhao Zhang
A Joint Generative Model for Zero-Shot Learning. ECCV Workshops (4) (2018)
Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen
Highly-Economized Multi-View Binary Compression for Scalable Image Clustering. CoRR (2018)
Jingyi Zhang, Fumin Shen, Li Liu, Fan Zhu, Mengyang Yu, Ling Shao, Heng Tao Shen, Luc Van Gool
Generative Domain-Migration Hashing for Sketch-to-Image Retrieval. ECCV (2) (2018)
Xuyang Hu, Fan Zhu, Li Liu, Jin Xie, Jun Tang, Nian Wang, Fumin Shen, Ling Shao
Structure-Aware 3D Shape Synthesis from Single-View Images. BMVC (2018)
Fan Zhu, Li Liu, Jin Xie, Fumin Shen, Ling Shao, Yi Fang
Learning to Synthesize 3D Indoor Scenes from Monocular Images. ACM Multimedia (2018)
Jin Xie, Guoxian Dai, Fan Zhu, Edward K. Wong, Yi Fang
DeepShape: Deep-Learned Shape Descriptor for 3D Shape Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 39 (7) (2017)
Jin Xie, Fan Zhu, Guoxian Dai, Ling Shao, Yi Fang
Progressive Shape-Distribution-Encoder for Learning 3D Shape Representation. IEEE Trans. Image Process. 26 (3) (2017)
Jin Xie, Guoxian Dai, Fan Zhu, Yi Fang
Learning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval. CVPR (2017)
Guoxian Dai, Jin Xie, Fan Zhu, Yi Fang
Deep Correlated Metric Learning for Sketch-based 3D Shape Retrieval. AAAI (2017)
Fan Zhu, Jin Xie, Yi Fang
Learning Cross-Domain Neural Networks for Sketch-Based 3D Shape Retrieval. AAAI (2016)
Meng Wang, Jin Xie, Fan Zhu, Yi Fang
Linear discrimination dictionary learning for shape descriptors. Pattern Recognit. Lett. 83 (2016)
Fan Zhu, Ling Shao, Yi Fang
Boosted Cross-Domain Dictionary Learning for Visual Categorization. IEEE Intell. Syst. 31 (3) (2016)
Yawen Huang, Fan Zhu, Ling Shao, Alejandro F. Frangi
Color object recognition via cross-domain learning on RGB-D images. ICRA (2016)
Fan Zhu, Jin Xie, Yi Fang
Heat Diffusion Long-Short Term Memory Learning for 3D Shape Analysis. ECCV (7) (2016)
Yang Long, Fan Zhu, Ling Shao
Recognising occluded multi-view actions using local nearest neighbour embedding. Comput. Vis. Image Underst. 144 (2016)
Fan Zhu, Ling Shao, Jin Xie, Yi Fang
From handcrafted to learned representations for human action recognition: A survey. Image Vis. Comput. 55 (2016)
Guoxian Dai, Jin Xie, Fan Zhu, Yi Fang
Learning a discriminative deformation-invariant 3D shape descriptor via many-to-one encoder. Pattern Recognit. Lett. 83 (2016)
Tiantian Xu, Fan Zhu, Edward K. Wong, Yi Fang
Dual many-to-one-encoder-based transfer learning for cross-dataset human action recognition. Image Vis. Comput. 55 (2016)
Jing Zhu, Fan Zhu, Edward K. Wong, Yi Fang
Learning Pairwise Neural Network Encoder for Depth Image-based 3D Model Retrieval. ACM Multimedia (2015)
Jin Xie, Fan Zhu, Guoxian Dai, Yi Fang
Progressive Shape-Distribution-Encoder for 3D Shape Retrieval. ACM Multimedia (2015)
Jin Xie, Yi Fang, Fan Zhu, Edward K. Wong
Deepshape: Deep learned shape descriptor for 3D shape matching and retrieval. CVPR (2015)
Yi Fang, Jin Xie, Guoxian Dai, Meng Wang, Fan Zhu, Tiantian Xu, Edward K. Wong
3D deep shape descriptor. CVPR (2015)
Ling Shao, Fan Zhu, Xuelong Li
Transfer Learning for Visual Categorization: A Survey. IEEE Trans. Neural Networks Learn. Syst. 26 (5) (2015)
Fan Zhu, Zhuolin Jiang, Ling Shao
Submodular Object Recognition. CVPR (2014)

Fan Zhu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Fan Zhu