Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Fan Zhang

Fan Zhang

Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection


Apr 19, 2021
Sihao Chen, Fan Zhang, Kazoo Sone, Dan Roth

Figure 1 for Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection
Figure 2 for Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection
Figure 3 for Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection
Figure 4 for Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection
* NAACL'21 
  Access Paper or Ask Questions

Individually Fair Gradient Boosting


Mar 31, 2021
Alexander Vargo, Fan Zhang, Mikhail Yurochkin, Yuekai Sun

Figure 1 for Individually Fair Gradient Boosting
Figure 2 for Individually Fair Gradient Boosting
Figure 3 for Individually Fair Gradient Boosting
Figure 4 for Individually Fair Gradient Boosting
* ICLR Camera-Ready Version 
  Access Paper or Ask Questions

Robustifying Conditional Portfolio Decisions via Optimal Transport


Mar 30, 2021
Viet Anh Nguyen, Fan Zhang, Jose Blanchet, Erick Delage, Yinyu Ye

Figure 1 for Robustifying Conditional Portfolio Decisions via Optimal Transport
Figure 2 for Robustifying Conditional Portfolio Decisions via Optimal Transport
Figure 3 for Robustifying Conditional Portfolio Decisions via Optimal Transport
Figure 4 for Robustifying Conditional Portfolio Decisions via Optimal Transport

  Access Paper or Ask Questions

A Subjective Study on Videos at Various Bit Depths


Mar 18, 2021
Alex Mackin, Di Ma, Fan Zhang, David Bull

* 5 pages; 7 figures; 1 table 
  Access Paper or Ask Questions

VMAF-based Bitrate Ladder Estimation for Adaptive Streaming


Mar 12, 2021
Angeliki V. Katsenou, Fan Zhang, Kyle Swanson, Mariana Afonso, Joel Sole, David R. Bull

Figure 1 for VMAF-based Bitrate Ladder Estimation for Adaptive Streaming
Figure 2 for VMAF-based Bitrate Ladder Estimation for Adaptive Streaming
Figure 3 for VMAF-based Bitrate Ladder Estimation for Adaptive Streaming
Figure 4 for VMAF-based Bitrate Ladder Estimation for Adaptive Streaming

  Access Paper or Ask Questions

Enhancing VMAF through New Feature Integration and Model Combination


Mar 10, 2021
Fan Zhang, Angeliki Katsenou, Christos Bampis, Lukas Krasula, Zhi Li, David Bull

Figure 1 for Enhancing VMAF through New Feature Integration and Model Combination
Figure 2 for Enhancing VMAF through New Feature Integration and Model Combination
Figure 3 for Enhancing VMAF through New Feature Integration and Model Combination
Figure 4 for Enhancing VMAF through New Feature Integration and Model Combination
* 5 pages, 2 figures and 4 tables 
  Access Paper or Ask Questions

Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning


Mar 08, 2021
Yan Jiao, Xiaocheng Tang, Zhiwei Qin, Shuaiji Li, Fan Zhang, Hongtu Zhu, Jieping Ye


  Access Paper or Ask Questions

Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases


Mar 03, 2021
Xiao Huang, Di Zhu, Fan Zhang, Tao Liu, Xiao Li, Lei Zou

Figure 1 for Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases
Figure 2 for Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases
Figure 3 for Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases
Figure 4 for Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases
* 15 pages. 10 figures, 3 tables 
  Access Paper or Ask Questions

CellTrack R-CNN: A Novel End-To-End Deep Neural Network for Cell Segmentation and Tracking in Microscopy Images


Feb 20, 2021
Yuqian Chen, Yang Song, Chaoyi Zhang, Fan Zhang, Lauren O'Donnell, Wojciech Chrzanowski, Weidong Cai

Figure 1 for CellTrack R-CNN: A Novel End-To-End Deep Neural Network for Cell Segmentation and Tracking in Microscopy Images
Figure 2 for CellTrack R-CNN: A Novel End-To-End Deep Neural Network for Cell Segmentation and Tracking in Microscopy Images
Figure 3 for CellTrack R-CNN: A Novel End-To-End Deep Neural Network for Cell Segmentation and Tracking in Microscopy Images
* 4 pages,3 figures, to be published in The IEEE International Symposium on Biomedical Imaging (ISBI) 2021 
  Access Paper or Ask Questions

Speech Emotion Recognition with Multiscale Area Attention and Data Augmentation


Feb 03, 2021
Mingke Xu, Fan Zhang, Xiaodong Cui, Wei Zhang

Figure 1 for Speech Emotion Recognition with Multiscale Area Attention and Data Augmentation
Figure 2 for Speech Emotion Recognition with Multiscale Area Attention and Data Augmentation
Figure 3 for Speech Emotion Recognition with Multiscale Area Attention and Data Augmentation
Figure 4 for Speech Emotion Recognition with Multiscale Area Attention and Data Augmentation
* Accepted by ICASSP 2021 
  Access Paper or Ask Questions

Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification


Feb 02, 2021
Peng Yao, Shuwei Shen, Mengjuan Xu, Peng Liu, Fan Zhang, Jinyu Xing, Pengfei Shao, Benjamin Kaffenberger, Ronald X. Xu

Figure 1 for Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification
Figure 2 for Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification
Figure 3 for Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification
Figure 4 for Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification

  Access Paper or Ask Questions

Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification


Jan 07, 2021
Shuwei Shen, Mengjuan Xu, Fan Zhang, Pengfei Shao, Honghong Liu, Liang Xu, Chi Zhang, Peng Liu, Zhihong Zhang, Peng Yao, Ronald X. Xu

Figure 1 for Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification
Figure 2 for Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification
Figure 3 for Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification
Figure 4 for Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification
* 8 pages, 5 figures 
  Access Paper or Ask Questions

CVEGAN: A Perceptually-inspired GAN for Compressed Video Enhancement


Nov 26, 2020
Di Ma, Fan Zhang, David R. Bull

Figure 1 for CVEGAN: A Perceptually-inspired GAN for Compressed Video Enhancement
Figure 2 for CVEGAN: A Perceptually-inspired GAN for Compressed Video Enhancement
Figure 3 for CVEGAN: A Perceptually-inspired GAN for Compressed Video Enhancement
Figure 4 for CVEGAN: A Perceptually-inspired GAN for Compressed Video Enhancement

  Access Paper or Ask Questions

Distributionally Robust Local Non-parametric Conditional Estimation


Oct 12, 2020
Viet Anh Nguyen, Fan Zhang, Jose Blanchet, Erick Delage, Yinyu Ye

Figure 1 for Distributionally Robust Local Non-parametric Conditional Estimation
Figure 2 for Distributionally Robust Local Non-parametric Conditional Estimation
Figure 3 for Distributionally Robust Local Non-parametric Conditional Estimation
Figure 4 for Distributionally Robust Local Non-parametric Conditional Estimation

  Access Paper or Ask Questions

A simulation environment for drone cinematography


Oct 03, 2020
Fan Zhang, David Hall, Tao Xu, Stephen Boyle, David Bull

Figure 1 for A simulation environment for drone cinematography
Figure 2 for A simulation environment for drone cinematography
Figure 3 for A simulation environment for drone cinematography
Figure 4 for A simulation environment for drone cinematography

  Access Paper or Ask Questions

Video Compression with CNN-based Post Processing


Sep 16, 2020
Fan Zhang, Di Ma, Chen Feng, David R. Bull

Figure 1 for Video Compression with CNN-based Post Processing
Figure 2 for Video Compression with CNN-based Post Processing
Figure 3 for Video Compression with CNN-based Post Processing
Figure 4 for Video Compression with CNN-based Post Processing

  Access Paper or Ask Questions

P-DIFF: Learning Classifier with Noisy Labels based on Probability Difference Distributions


Sep 15, 2020
Wei Hu, QiHao Zhao, Yangyu Huang, Fan Zhang

Figure 1 for P-DIFF: Learning Classifier with Noisy Labels based on Probability Difference Distributions
Figure 2 for P-DIFF: Learning Classifier with Noisy Labels based on Probability Difference Distributions
Figure 3 for P-DIFF: Learning Classifier with Noisy Labels based on Probability Difference Distributions
Figure 4 for P-DIFF: Learning Classifier with Noisy Labels based on Probability Difference Distributions
* ICPR 2020. Codes are available at https://github.com/fistyee/P-DIFF 
  Access Paper or Ask Questions

Video compression with low complexity CNN-based spatial resolution adaptation


Jul 29, 2020
Di Ma, Fan Zhang, David R. Bull

Figure 1 for Video compression with low complexity CNN-based spatial resolution adaptation
Figure 2 for Video compression with low complexity CNN-based spatial resolution adaptation
Figure 3 for Video compression with low complexity CNN-based spatial resolution adaptation
Figure 4 for Video compression with low complexity CNN-based spatial resolution adaptation

  Access Paper or Ask Questions

MFRNet: A New CNN Architecture for Post-Processing and In-loop Filtering


Jul 14, 2020
Di Ma, Fan Zhang, David R. Bull

Figure 1 for MFRNet: A New CNN Architecture for Post-Processing and In-loop Filtering
Figure 2 for MFRNet: A New CNN Architecture for Post-Processing and In-loop Filtering
Figure 3 for MFRNet: A New CNN Architecture for Post-Processing and In-loop Filtering
Figure 4 for MFRNet: A New CNN Architecture for Post-Processing and In-loop Filtering

  Access Paper or Ask Questions

MediaPipe Hands: On-device Real-time Hand Tracking


Jun 18, 2020
Fan Zhang, Valentin Bazarevsky, Andrey Vakunov, Andrei Tkachenka, George Sung, Chuo-Ling Chang, Matthias Grundmann

Figure 1 for MediaPipe Hands: On-device Real-time Hand Tracking
Figure 2 for MediaPipe Hands: On-device Real-time Hand Tracking
Figure 3 for MediaPipe Hands: On-device Real-time Hand Tracking
Figure 4 for MediaPipe Hands: On-device Real-time Hand Tracking
* 5 pages, 7 figures; CVPR Workshop on Computer Vision for Augmented and Virtual Reality, Seattle, WA, USA, 2020 
  Access Paper or Ask Questions

BlazePose: On-device Real-time Body Pose tracking


Jun 17, 2020
Valentin Bazarevsky, Ivan Grishchenko, Karthik Raveendran, Tyler Zhu, Fan Zhang, Matthias Grundmann

Figure 1 for BlazePose: On-device Real-time Body Pose tracking
Figure 2 for BlazePose: On-device Real-time Body Pose tracking
Figure 3 for BlazePose: On-device Real-time Body Pose tracking
Figure 4 for BlazePose: On-device Real-time Body Pose tracking
* 4 pages, 6 figures; CVPR Workshop on Computer Vision for Augmented and Virtual Reality, Seattle, WA, USA, 2020 
  Access Paper or Ask Questions

Integrating global spatial features in CNN based Hyperspectral/SAR imagery classification


Jun 15, 2020
Fan Zhang, MinChao Yan, Chen Hu, Jun Ni, Fei Ma


  Access Paper or Ask Questions

MultiResolution Attention Extractor for Small Object Detection


Jun 10, 2020
Fan Zhang, Licheng Jiao, Lingling Li, Fang Liu, Xu Liu

Figure 1 for MultiResolution Attention Extractor for Small Object Detection
Figure 2 for MultiResolution Attention Extractor for Small Object Detection
Figure 3 for MultiResolution Attention Extractor for Small Object Detection
Figure 4 for MultiResolution Attention Extractor for Small Object Detection
* 11 pages, 5 figures 
  Access Paper or Ask Questions

Distributional Robust Batch Contextual Bandits


Jun 10, 2020
Nian Si, Fan Zhang, Zhengyuan Zhou, Jose Blanchet

Figure 1 for Distributional Robust Batch Contextual Bandits
Figure 2 for Distributional Robust Batch Contextual Bandits
Figure 3 for Distributional Robust Batch Contextual Bandits
Figure 4 for Distributional Robust Batch Contextual Bandits
* The short version has been accepted in ICML 2020 
  Access Paper or Ask Questions

The global information for land cover classification by dual-branch deep learning


May 30, 2020
Fan Zhang, MinChao Yan, Chen Hu, Jun Ni, Fei Ma


  Access Paper or Ask Questions

Active Fuzzing for Testing and Securing Cyber-Physical Systems


May 28, 2020
Yuqi Chen, Bohan Xuan, Christopher M. Poskitt, Jun Sun, Fan Zhang

Figure 1 for Active Fuzzing for Testing and Securing Cyber-Physical Systems
Figure 2 for Active Fuzzing for Testing and Securing Cyber-Physical Systems
Figure 3 for Active Fuzzing for Testing and Securing Cyber-Physical Systems
Figure 4 for Active Fuzzing for Testing and Securing Cyber-Physical Systems
* Accepted by the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2020) 
  Access Paper or Ask Questions

FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects


May 16, 2020
Loraine Franke, Daniel Karl I. Weidele, Fan Zhang, Suheyla Cetin-Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi, Daniel Haehn

Figure 1 for FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects
Figure 2 for FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects
Figure 3 for FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects
Figure 4 for FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects
* 10 pages, 9 figures 
  Access Paper or Ask Questions

Defending Model Inversion and Membership Inference Attacks via Prediction Purification


May 08, 2020
Ziqi Yang, Bin Shao, Bohan Xuan, Ee-Chien Chang, Fan Zhang

Figure 1 for Defending Model Inversion and Membership Inference Attacks via Prediction Purification
Figure 2 for Defending Model Inversion and Membership Inference Attacks via Prediction Purification
Figure 3 for Defending Model Inversion and Membership Inference Attacks via Prediction Purification
Figure 4 for Defending Model Inversion and Membership Inference Attacks via Prediction Purification

  Access Paper or Ask Questions

Encoding in the Dark Grand Challenge: An Overview


May 07, 2020
Nantheera Anantrasirichai, Fan Zhang, Alexandra Malyugina, Paul Hill, Angeliki Katsenou

Figure 1 for Encoding in the Dark Grand Challenge: An Overview
Figure 2 for Encoding in the Dark Grand Challenge: An Overview
Figure 3 for Encoding in the Dark Grand Challenge: An Overview
Figure 4 for Encoding in the Dark Grand Challenge: An Overview

  Access Paper or Ask Questions