Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDFan Zhu 0001
Person information
- affiliation: New York University Abu Dhabi, Department of Electrical and Computer Engineering, NYU Multimedia and Visual Computing Laboratory, UAE
- affiliation (PhD 2011): University of Sheffield, Department of Electronic and Electrical Engineering, UK
Other persons with the same name
- Fan Zhu — disambiguation page
- Fan Zhu 0002 — University of Edinburgh, School of Informatics, Data Intensive Research Group, UK
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j30]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): 7001-7018 (2023)- [j29]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): 10173-10196 (2023) - 2022
- [j28]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): 4524-4543 (2022) - [j27]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): 2903-2915 (2022) - 2021
- [j26]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: 106939 (2021) - [j25]Chengcheng Yang, Dong Deng, Shuo Shang, Fan Zhu, Li Liu, Ling Shao:
Internal and external memory set containment join. VLDB J. 30(3): 447-470 (2021) - [j24]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): 907 (2021) - [c52]Yichao Yan, Jinpeng Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan Zhu, Ling Shao:
Anchor-Free Person Search. CVPR 2021: 7690-7699 - [c51]Lei Huang, Yi Zhou, Li Liu, Fan Zhu, Ling Shao:
Group Whitening: Balancing Learning Efficiency and Representational Capacity. CVPR 2021: 9512-9521 - [c50]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: 15984-15993 - [i26]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 abs/2103.01055 (2021) - [i25]Yichao Yan, Jingpeng Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan Zhu, Ling Shao:
Anchor-Free Person Search. CoRR abs/2103.11617 (2021) - [i24]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 abs/2104.14236 (2021) - [i23]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 abs/2104.14913 (2021) - [i22]Hao Huang, Boulbaba Ben Amor, Xichan Lin, Fan Zhu, Yi Fang:
Residual Networks as Flows of Velocity Fields for Diffeomorphic Time Series Alignment. CoRR abs/2106.11911 (2021) - [i21]Hao Huang, Boulbaba Ben Amor, Xichan Lin, Fan Zhu, Yi Fang:
G-VAE, a Geometric Convolutional VAE for ProteinStructure Generation. CoRR abs/2106.11920 (2021) - 2020
- [j23]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: 107317 (2020) - [j22]Diwen Wan, Fumin Shen, Li Liu, Fan Zhu, Lei Huang, Mengyang Yu, Heng Tao Shen, Ling Shao:
Deep quantization generative networks. Pattern Recognit. 105: 107338 (2020) - [j21]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: 3665-3680 (2020) - [j20]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: 5022-5037 (2020) - [j19]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: 5121-5135 (2020) - [j18]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: 9316-9329 (2020) - [j17]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): 1199-1211 (2020) - [j16]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): 2348-2360 (2020) - [j15]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): 4290-4302 (2020) - [j14]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): 4881-4891 (2020) - [c49]Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao:
Auto-Encoding Twin-Bottleneck Hashing. CVPR 2020: 2815-2824 - [c48]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: 2896-2905 - [c47]Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao:
Controllable Orthogonalization in Training DNNs. CVPR 2020: 6428-6437 - [c46]Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
An Investigation Into the Stochasticity of Batch Whitening. CVPR 2020: 6438-6447 - [c45]Jiaxin Chen, Jie Qin, Yuming Shen, Li Liu, Fan Zhu, Ling Shao:
Learning Attentive and Hierarchical Representations for 3D Shape Recognition. ECCV (15) 2020: 105-122 - [c44]Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao:
Layer-Wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs. ECCV (2) 2020: 384-401 - [c43]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: 562-580 - [c42]Yuming Shen, Jie Qin, Lei Huang, Li Liu, Fan Zhu, Ling Shao:
Invertible Zero-Shot Recognition Flows. ECCV (16) 2020: 614-631 - [c41]Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, Ling Shao:
On the Number of Linear Regions of Convolutional Neural Networks. ICML 2020: 10514-10523 - [c40]Ionut Cosmin Duta, Li Liu, Fan Zhu, Ling Shao:
Improved Residual Networks for Image and Video Recognition. ICPR 2020: 9415-9422 - [c39]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: 3034-3043 - [i20]Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao:
Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis. CoRR abs/2002.10801 (2020) - [i19]Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao:
Auto-Encoding Twin-Bottleneck Hashing. CoRR abs/2002.11930 (2020) - [i18]Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
An Investigation into the Stochasticity of Batch Whitening. CoRR abs/2003.12327 (2020) - [i17]Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao:
Controllable Orthogonalization in Training DNNs. CoRR abs/2004.00917 (2020) - [i16]Ionut Cosmin Duta, Li Liu, Fan Zhu, Ling Shao:
Improved Residual Networks for Image and Video Recognition. CoRR abs/2004.04989 (2020) - [i15]Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, Ling Shao:
On the Number of Linear Regions of Convolutional Neural Networks. CoRR abs/2006.00978 (2020) - [i14]Ionut Cosmin Duta, Li Liu, Fan Zhu, Ling Shao:
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition. CoRR abs/2006.11538 (2020) - [i13]Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Normalization Techniques in Training DNNs: Methodology, Analysis and Application. CoRR abs/2009.12836 (2020) - [i12]Lei Huang, Li Liu, Fan Zhu, Ling Shao:
Group Whitening: Balancing Learning Efficiency and Representational Capacity. CoRR abs/2009.13333 (2020)
2010 – 2019
- 2019
- [c38]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: 28-37 - [c37]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: 791-800 - [c36]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: 2079-2088 - [c35]Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Iterative Normalization: Beyond Standardization Towards Efficient Whitening. CVPR 2019: 4874-4883 - [c34]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: 7115-7123 - [c33]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: 9384-9393 - [c32]Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao:
RANet: Ranking Attention Network for Fast Video Object Segmentation. ICCV 2019: 3977-3986 - [c31]Anran Zhang, Lei Yue, Jiayi Shen, Fan Zhu, Xiantong Zhen, Xianbin Cao, Ling Shao:
Attentional Neural Fields for Crowd Counting. ICCV 2019: 5713-5722 - [c30]Anran Zhang, Jiayi Shen, Zehao Xiao, Fan Zhu, Xiantong Zhen, Xianbin Cao, Ling Shao:
Relational Attention Network for Crowd Counting. ICCV 2019: 6787-6796 - [c29]Yuming Shen, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ziyi Shen:
Embarrassingly Simple Binary Representation Learning. ICCV Workshops 2019: 2883-2892 - [c28]Dong Deng, Chengcheng Yang, Shuo Shang, Fan Zhu, Li Liu, Ling Shao:
LCJoin: Set Containment Join via List Crosscutting. ICDE 2019: 362-373 - [c27]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: 996-1002 - [c26]Chengcheng Yang, Lisi Chen, Shuo Shang, Fan Zhu, Li Liu, Ling Shao:
Toward Efficient Navigation of Massive-Scale Geo-Textual Streams. IJCAI 2019: 4838-4845 - [c25]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: 505-513 - [c24]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: 845-854 - [c23]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: 11257-11268 - [i11]Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Iterative Normalization: Beyond Standardization towards Efficient Whitening. CoRR abs/1904.03441 (2019) - [i10]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 abs/1905.10955 (2019) - [i9]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 abs/1905.12886 (2019) - [i8]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 abs/1906.06690 (2019) - [i7]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 abs/1906.06834 (2019) - [i6]Jun Xu, Yuan Huang, Li Liu, Fan Zhu, Xingsong Hou, Ling Shao:
Noisy-As-Clean: Learning Unsupervised Denoising from the Corrupted Image. CoRR abs/1906.06878 (2019) - [i5]Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao:
RANet: Ranking Attention Network for Fast Video Object Segmentation. CoRR abs/1908.06647 (2019) - [i4]Yuming Shen, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu:
Embarrassingly Simple Binary Representation Learning. CoRR abs/1908.09573 (2019) - [i3]Huan Xiong, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao:
Fast Large-Scale Discrete Optimization Based on Principal Coordinate Descent. CoRR abs/1909.07079 (2019) - [i2]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 abs/1912.04670 (2019) - 2018
- [j13]Yang Long, Fan Zhu, Ling Shao, Junwei Han:
Face recognition with a small occluded training set using spatial and statistical pooling. Inf. Sci. 430: 634-644 (2018) - [j12]Jin Xie, Guoxian Dai, Fan Zhu, Ling Shao, Yi Fang:
Deep Nonlinear Metric Learning for 3-D Shape Retrieval. IEEE Trans. Cybern. 48(1): 412-422 (2018) - [c22]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: 230 - [c21]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: 304-321 - [c20]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: 322-339 - [c19]Rui Gao, Xingsong Hou, Jie Qin, Li Liu, Fan Zhu, Zhao Zhang:
A Joint Generative Model for Zero-Shot Learning. ECCV Workshops (4) 2018: 631-646 - [c18]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: 731-748 - [c17]Fan Zhu, Li Liu, Jin Xie, Fumin Shen, Ling Shao, Yi Fang:
Learning to Synthesize 3D Indoor Scenes from Monocular Images. ACM Multimedia 2018: 501-509 - [i1]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 abs/1809.05992 (2018) - 2017
- [j11]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): 1335-1345 (2017) - [j10]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): 1231-1242 (2017) - [c16]Guoxian Dai, Jin Xie, Fan Zhu, Yi Fang:
Deep Correlated Metric Learning for Sketch-based 3D Shape Retrieval. AAAI 2017: 4002-4008 - [c15]Jin Xie, Guoxian Dai, Fan Zhu, Yi Fang:
Learning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval. CVPR 2017: 3615-3623 - 2016
- [j9]Yang Long, Fan Zhu, Ling Shao:
Recognising occluded multi-view actions using local nearest neighbour embedding. Comput. Vis. Image Underst. 144: 36-45 (2016) - [j8]Fan Zhu, Ling Shao, Yi Fang:
Boosted Cross-Domain Dictionary Learning for Visual Categorization. IEEE Intell. Syst. 31(3): 6-18 (2016) - [j7]Fan Zhu, Ling Shao, Jin Xie, Yi Fang:
From handcrafted to learned representations for human action recognition: A survey. Image Vis. Comput. 55: 42-52 (2016) - [j6]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: 127-137 (2016) - [j5]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: 330-338 (2016) - [j4]Meng Wang, Jin Xie, Fan Zhu, Yi Fang:
Linear discrimination dictionary learning for shape descriptors. Pattern Recognit. Lett. 83: 349-356 (2016) - [c14]Fan Zhu, Jin Xie, Yi Fang:
Learning Cross-Domain Neural Networks for Sketch-Based 3D Shape Retrieval. AAAI 2016: 3683-3689 - [c13]Fan Zhu, Jin Xie, Yi Fang:
Heat Diffusion Long-Short Term Memory Learning for 3D Shape Analysis. ECCV (7) 2016: 305-321 - [c12]Yawen Huang, Fan Zhu, Ling Shao, Alejandro F. Frangi:
Color object recognition via cross-domain learning on RGB-D images. ICRA 2016: 1672-1677 - 2015
- [j3]Ling Shao, Fan Zhu, Xuelong Li:
Transfer Learning for Visual Categorization: A Survey. IEEE Trans. Neural Networks Learn. Syst. 26(5): 1019-1034 (2015) - [c11]Jin Xie, Yi Fang, Fan Zhu, Edward K. Wong:
Deepshape: Deep learned shape descriptor for 3D shape matching and retrieval. CVPR 2015: 1275-1283 - [c10]Yi Fang, Jin Xie, Guoxian Dai, Meng Wang, Fan Zhu, Tiantian Xu, Edward K. Wong:
3D deep shape descriptor. CVPR 2015: 2319-2328 - [c9]Jin Xie, Fan Zhu, Guoxian Dai, Yi Fang:
Progressive Shape-Distribution-Encoder for 3D Shape Retrieval. ACM Multimedia 2015: 1167-1170 - [c8]Jing Zhu, Fan Zhu, Edward K. Wong, Yi Fang:
Learning Pairwise Neural Network Encoder for Depth Image-based 3D Model Retrieval. ACM Multimedia 2015: 1227-1230 - 2014
- [j2]Fan Zhu, Ling Shao:
Weakly-Supervised Cross-Domain Dictionary Learning for Visual Recognition. Int. J. Comput. Vis. 109(1-2): 42-59 (2014) - [c7]Fan Zhu, Ling Shao, Jun Tang:
Boosted Cross-Domain Categorization. BMVC 2014 - [c6]Fan Zhu, Ling Shao, Mengyang Yu:
Cross-Modality Submodular Dictionary Learning for Information Retrieval. CIKM 2014: 1479-1488 - [c5]Fan Zhu, Zhuolin Jiang, Ling Shao:
Submodular Object Recognition. CVPR 2014: 2457-2464 - [c4]Fan Zhu, Ling Shao:
Correspondence-Free Dictionary Learning for Cross-View Action Recognition. ICPR 2014: 4525-4530 - 2013
- [j1]Fan Zhu, Ling Shao, Mingxiu Lin:
Multi-view action recognition using local similarity random forests and sensor fusion. Pattern Recognit. Lett. 34(1): 20-24 (2013) - [c3]Fan Zhu, Ling Shao:
Enhancing Action Recognition by Cross-Domain Dictionary Learning. BMVC 2013 - 2012
- [c2]Di Wu, Fan Zhu, Ling Shao:
One shot learning gesture recognition from RGBD images. CVPR Workshops 2012: 7-12 - [c1]Di Wu, Fan Zhu, Ling Shao, Hui Zhang:
One shot learning gesture recognition with Kinect sensor. ACM Multimedia 2012: 1303-1304
Coauthor Index
[j30] [j29] [j28] [j27] [j25] [j24] [c52] [c51] [i25] [i24] [i23] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [c37] [c36] [c35] [c34] [c33] [c32] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [i11] [i10] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [c22] [c21] [c20] [c19] [c18] [c17] [i1]
[j30] [j29] [j28] [j27] [j25] [j24] [c52] [c51] [i25] [i24] [i23] [j23] [j22] [j21] [j20] [j19] [j18] [j15] [j14] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c28] [c27] [c26] [c25] [c24] [c23] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i3] [i2] [j13] [j12] [c22] [c21] [c20] [c18] [c17] [i1] [j10] [j9] [j8] [j7] [c12] [j3] [j2] [c7] [c6] [c5] [c4] [j1] [c3] [c2] [c1]
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-25 20:19 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
