Fan Zhu

Affiliations:
  • New York University Abu Dhabi, Department of Electrical and Computer Engineering, NYU Multimedia and Visual Computing Laboratory, UAE
  • University of Sheffield, Department of Electronic and Electrical Engineering, UK (PhD 2011)


According to our database1, Fan Zhu authored at least 90 papers between 2012 and 2021.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Correction to: Internal and external memory set containment join.
VLDB J., 2021

Internal and external memory set containment join.
VLDB J., 2021

G-VAE, a Geometric Convolutional VAE for ProteinStructure Generation.
CoRR, 2021

Residual Networks as Flows of Velocity Fields for Diffeomorphic Time Series Alignment.
CoRR, 2021

Learning Multi-Attention Context Graph for Group-Based Re-Identification.
CoRR, 2021

Anchor-Free Person Search.
CoRR, 2021

P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching.
CoRR, 2021

A feature disentangling approach for person re-identification via self-supervised data augmentation.
Appl. Soft Comput., 2021

Anchor-Free Person Search.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Group Whitening: Balancing Learning Efficiency and Representational Capacity.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Exploiting Web Images for Multi-Output Classification: From Category to Subcategories.
IEEE Trans. Neural Networks Learn. Syst., 2020

SRSC: Selective, Robust, and Supervised Constrained Feature Representation for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2020

Approximate Kernel Selection via Matrix Approximation.
IEEE Trans. Neural Networks Learn. Syst., 2020

Towards Automatic Construction of Diverse, High-Quality Image Datasets.
IEEE Trans. Knowl. Data Eng., 2020

STAR: A Structure and Texture Aware Retinex Model.
IEEE Trans. Image Process., 2020

Noisy-as-Clean: Learning Self-Supervised Denoising From Corrupted Image.
IEEE Trans. Image Process., 2020

NLH: A Blind Pixel-Level Non-Local Method for Real-World Image Denoising.
IEEE Trans. Image Process., 2020

Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning.
IEEE Trans. Image Process., 2020

Deep quantization generative networks.
Pattern Recognit., 2020

Projection based weight normalization: Efficient method for optimization on oblique manifold in DNNs.
Pattern Recognit., 2020

Group Whitening: Balancing Learning Efficiency and Representational Capacity.
CoRR, 2020

Normalization Techniques in Training DNNs: Methodology, Analysis and Application.
CoRR, 2020

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition.
CoRR, 2020

Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis.
CoRR, 2020

Deep Local Binary Coding for Person Re-Identification by Delving into the Details.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Improved Residual Networks for Image and Video Recognition.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

On the Number of Linear Regions of Convolutional Neural Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Region Graph Embedding Network for Zero-Shot Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

Invertible Zero-Shot Recognition Flows.
Proceedings of the Computer Vision - ECCV 2020, 2020

Layer-Wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Attentive and Hierarchical Representations for 3D Shape Recognition.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Auto-Encoding Twin-Bottleneck Hashing.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

An Investigation Into the Stochasticity of Batch Whitening.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Controllable Orthogonalization in Training DNNs.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images.
CoRR, 2019

Fast Large-Scale Discrete Optimization Based on Principal Coordinate Descent.
CoRR, 2019

Embarrassingly Simple Binary Representation Learning.
CoRR, 2019

Noisy-As-Clean: Learning Unsupervised Denoising from the Corrupted Image.
CoRR, 2019

Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Generative Reconstructive Hashing for Incomplete Video Analysis.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

High-Resolution Diabetic Retinopathy Image Synthesis Manipulated by Grading and Lesions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Dynamically Visual Disambiguation of Keyword-based Image Search.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Toward Efficient Navigation of Massive-Scale Geo-Textual Streams.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

LCJoin: Set Containment Join via List Crosscutting.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Embarrassingly Simple Binary Representation Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Attentional Neural Fields for Crowd Counting.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Relational Attention Network for Crowd Counting.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

RANet: Ranking Attention Network for Fast Video Object Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Attentive Region Embedding Network for Zero-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Iterative Normalization: Beyond Standardization Towards Efficient Whitening.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Deep Nonlinear Metric Learning for 3-D Shape Retrieval.
IEEE Trans. Cybern., 2018

Face recognition with a small occluded training set using spatial and statistical pooling.
Inf. Sci., 2018

Learning to Synthesize 3D Indoor Scenes from Monocular Images.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Generative Domain-Migration Hashing for Sketch-to-Image Retrieval.
Proceedings of the Computer Vision - ECCV 2018, 2018

Highly-Economized Multi-view Binary Compression for Scalable Image Clustering.
Proceedings of the Computer Vision - ECCV 2018, 2018

TBN: Convolutional Neural Network with Ternary Inputs and Binary Weights.
Proceedings of the Computer Vision - ECCV 2018, 2018

A Joint Generative Model for Zero-Shot Learning.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Structure-Aware 3D Shape Synthesis from Single-View Images.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Progressive Shape-Distribution-Encoder for Learning 3D Shape Representation.
IEEE Trans. Image Process., 2017

DeepShape: Deep-Learned Shape Descriptor for 3D Shape Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Learning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Deep Correlated Metric Learning for Sketch-based 3D Shape Retrieval.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Linear discrimination dictionary learning for shape descriptors.
Pattern Recognit. Lett., 2016

Learning a discriminative deformation-invariant 3D shape descriptor via many-to-one encoder.
Pattern Recognit. Lett., 2016

From handcrafted to learned representations for human action recognition: A survey.
Image Vis. Comput., 2016

Dual many-to-one-encoder-based transfer learning for cross-dataset human action recognition.
Image Vis. Comput., 2016

Boosted Cross-Domain Dictionary Learning for Visual Categorization.
IEEE Intell. Syst., 2016

Recognising occluded multi-view actions using local nearest neighbour embedding.
Comput. Vis. Image Underst., 2016

Color object recognition via cross-domain learning on RGB-D images.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Heat Diffusion Long-Short Term Memory Learning for 3D Shape Analysis.
Proceedings of the Computer Vision - ECCV 2016, 2016

Learning Cross-Domain Neural Networks for Sketch-Based 3D Shape Retrieval.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Transfer Learning for Visual Categorization: A Survey.
IEEE Trans. Neural Networks Learn. Syst., 2015

Learning Pairwise Neural Network Encoder for Depth Image-based 3D Model Retrieval.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Progressive Shape-Distribution-Encoder for 3D Shape Retrieval.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Deepshape: Deep learned shape descriptor for 3D shape matching and retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

3D deep shape descriptor.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Weakly-Supervised Cross-Domain Dictionary Learning for Visual Recognition.
Int. J. Comput. Vis., 2014

Correspondence-Free Dictionary Learning for Cross-View Action Recognition.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Submodular Object Recognition.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Cross-Modality Submodular Dictionary Learning for Information Retrieval.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Boosted Cross-Domain Categorization.
Proceedings of the British Machine Vision Conference, 2014

2013
Multi-view action recognition using local similarity random forests and sensor fusion.
Pattern Recognit. Lett., 2013

Enhancing Action Recognition by Cross-Domain Dictionary Learning.
Proceedings of the British Machine Vision Conference, 2013

2012
One shot learning gesture recognition with Kinect sensor.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

One shot learning gesture recognition from RGBD images.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012


  Loading...