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 Bo Zhao

Bo Zhao

Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features


Jul 19, 2021
Hui Liu, Bo Zhao, Yuefeng Peng, Jiabao Guo, Peng Liu

Figure 1 for Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features
Figure 2 for Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features
Figure 3 for Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features
Figure 4 for Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features

  Access Paper or Ask Questions

FedCom: A Byzantine-Robust Local Model Aggregation Rule Using Data Commitment for Federated Learning


Apr 16, 2021
Bo Zhao, Peng Sun, Liming Fang, Tao Wang, Keyu Jiang

Figure 1 for FedCom: A Byzantine-Robust Local Model Aggregation Rule Using Data Commitment for Federated Learning
Figure 2 for FedCom: A Byzantine-Robust Local Model Aggregation Rule Using Data Commitment for Federated Learning
Figure 3 for FedCom: A Byzantine-Robust Local Model Aggregation Rule Using Data Commitment for Federated Learning
Figure 4 for FedCom: A Byzantine-Robust Local Model Aggregation Rule Using Data Commitment for Federated Learning

  Access Paper or Ask Questions

One-bit Spectrum Sensing with the Eigenvalue Moment Ratio Approach


Apr 08, 2021
Yuan Zhao, Xiaochuan Ke, Bo Zhao, Yuhang Xiao, Lei Huang

Figure 1 for One-bit Spectrum Sensing with the Eigenvalue Moment Ratio Approach
Figure 2 for One-bit Spectrum Sensing with the Eigenvalue Moment Ratio Approach
Figure 3 for One-bit Spectrum Sensing with the Eigenvalue Moment Ratio Approach
Figure 4 for One-bit Spectrum Sensing with the Eigenvalue Moment Ratio Approach
* 5 pages, 3 figures, 1 table. To be submitted to IEEE wireless communication letters for possible publishing 
  Access Paper or Ask Questions

Concentric Spherical GNN for 3D Representation Learning


Mar 18, 2021
James Fox, Bo Zhao, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song

Figure 1 for Concentric Spherical GNN for 3D Representation Learning
Figure 2 for Concentric Spherical GNN for 3D Representation Learning
Figure 3 for Concentric Spherical GNN for 3D Representation Learning
Figure 4 for Concentric Spherical GNN for 3D Representation Learning
* This paper has been submitted for conference review 
  Access Paper or Ask Questions

Interpretable Attention Guided Network for Fine-grained Visual Classification


Mar 09, 2021
Zhenhuan Huang, Xiaoyue Duan, Bo Zhao, Jinhu Lü, Baochang Zhang

Figure 1 for Interpretable Attention Guided Network for Fine-grained Visual Classification
Figure 2 for Interpretable Attention Guided Network for Fine-grained Visual Classification
Figure 3 for Interpretable Attention Guided Network for Fine-grained Visual Classification
Figure 4 for Interpretable Attention Guided Network for Fine-grained Visual Classification

  Access Paper or Ask Questions

Dataset Condensation with Differentiable Siamese Augmentation


Feb 16, 2021
Bo Zhao, Hakan Bilen

Figure 1 for Dataset Condensation with Differentiable Siamese Augmentation
Figure 2 for Dataset Condensation with Differentiable Siamese Augmentation
Figure 3 for Dataset Condensation with Differentiable Siamese Augmentation
Figure 4 for Dataset Condensation with Differentiable Siamese Augmentation

  Access Paper or Ask Questions

Multiple Plans are Better than One: Diverse Stochastic Planning


Dec 31, 2020
Mahsa Ghasemi, Evan Scope Crafts, Bo Zhao, Ufuk Topcu

Figure 1 for Multiple Plans are Better than One: Diverse Stochastic Planning
Figure 2 for Multiple Plans are Better than One: Diverse Stochastic Planning
Figure 3 for Multiple Plans are Better than One: Diverse Stochastic Planning
Figure 4 for Multiple Plans are Better than One: Diverse Stochastic Planning
* Mahsa Ghasemi and Evan Scope Crafts have contributed equally to the manuscript 
  Access Paper or Ask Questions

Active Sampling for Accelerated MRI with Low-Rank Tensors


Dec 23, 2020
Zichang He, Bo Zhao, Zheng Zhang

Figure 1 for Active Sampling for Accelerated MRI with Low-Rank Tensors
Figure 2 for Active Sampling for Accelerated MRI with Low-Rank Tensors
Figure 3 for Active Sampling for Accelerated MRI with Low-Rank Tensors
Figure 4 for Active Sampling for Accelerated MRI with Low-Rank Tensors
* 5 pages 
  Access Paper or Ask Questions

GreedyFool: An Imperceptible Black-box Adversarial Example Attack against Neural Networks


Oct 24, 2020
Hui Liu, Bo Zhao, Jiabao Guo, Yang An, Peng Liu

Figure 1 for GreedyFool: An Imperceptible Black-box Adversarial Example Attack against Neural Networks
Figure 2 for GreedyFool: An Imperceptible Black-box Adversarial Example Attack against Neural Networks
Figure 3 for GreedyFool: An Imperceptible Black-box Adversarial Example Attack against Neural Networks
Figure 4 for GreedyFool: An Imperceptible Black-box Adversarial Example Attack against Neural Networks

  Access Paper or Ask Questions

Attribute-guided image generation from layout


Aug 27, 2020
Ke Ma, Bo Zhao, Leonid Sigal

Figure 1 for Attribute-guided image generation from layout
Figure 2 for Attribute-guided image generation from layout
Figure 3 for Attribute-guided image generation from layout
Figure 4 for Attribute-guided image generation from layout
* BMVC 2020 
  Access Paper or Ask Questions

Augmented Bi-path Network for Few-shot Learning


Jul 15, 2020
Baoming Yan, Chen Zhou, Bo Zhao, Kan Guo, Jiang Yang, Xiaobo Li, Ming Zhang, Yizhou Wang

Figure 1 for Augmented Bi-path Network for Few-shot Learning
Figure 2 for Augmented Bi-path Network for Few-shot Learning
Figure 3 for Augmented Bi-path Network for Few-shot Learning
Figure 4 for Augmented Bi-path Network for Few-shot Learning

  Access Paper or Ask Questions

PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest


Jul 07, 2020
Aditya Pal, Chantat Eksombatchai, Yitong Zhou, Bo Zhao, Charles Rosenberg, Jure Leskovec

Figure 1 for PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest
Figure 2 for PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest
Figure 3 for PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest
Figure 4 for PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest
* KDD 2020 
 * 10 pages, 7 figures 
  Access Paper or Ask Questions

Continual Representation Learning for Biometric Identification


Jun 28, 2020
Bo Zhao, Shixiang Tang, Dapeng Chen, Hakan Bilen, Rui Zhao

Figure 1 for Continual Representation Learning for Biometric Identification
Figure 2 for Continual Representation Learning for Biometric Identification
Figure 3 for Continual Representation Learning for Biometric Identification
Figure 4 for Continual Representation Learning for Biometric Identification

  Access Paper or Ask Questions

Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention


Jun 15, 2020
Ce Ju, Ruihui Zhao, Jichao Sun, Xiguang Wei, Bo Zhao, Yang Liu, Hongshan Li, Tianjian Chen, Xinwei Zhang, Dashan Gao, Ben Tan, Han Yu, Yuan Jin

Figure 1 for Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention
Figure 2 for Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention
Figure 3 for Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention
Figure 4 for Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention
* 4 pages, 3 figures, 1 table, Accepted for Workshop on Federated Learning for Data Privacy and Confidentiality in Conjunction with IJCAI 2020 (FL-IJCAI'20) 
  Access Paper or Ask Questions

Dataset Condensation with Gradient Matching


Jun 10, 2020
Bo Zhao, Konda Reddy Mopuri, Hakan Bilen

Figure 1 for Dataset Condensation with Gradient Matching
Figure 2 for Dataset Condensation with Gradient Matching
Figure 3 for Dataset Condensation with Gradient Matching
Figure 4 for Dataset Condensation with Gradient Matching

  Access Paper or Ask Questions

iDLG: Improved Deep Leakage from Gradients


Jan 08, 2020
Bo Zhao, Konda Reddy Mopuri, Hakan Bilen

Figure 1 for iDLG: Improved Deep Leakage from Gradients
Figure 2 for iDLG: Improved Deep Leakage from Gradients

  Access Paper or Ask Questions

DwNet: Dense warp-based network for pose-guided human video generation


Oct 21, 2019
Polina Zablotskaia, Aliaksandr Siarohin, Bo Zhao, Leonid Sigal

Figure 1 for DwNet: Dense warp-based network for pose-guided human video generation
Figure 2 for DwNet: Dense warp-based network for pose-guided human video generation
Figure 3 for DwNet: Dense warp-based network for pose-guided human video generation
Figure 4 for DwNet: Dense warp-based network for pose-guided human video generation
* Accepted to BMVC 2019 
  Access Paper or Ask Questions

Image Generation from Layout


Nov 29, 2018
Bo Zhao, Lili Meng, Weidong Yin, Leonid Sigal

Figure 1 for Image Generation from Layout
Figure 2 for Image Generation from Layout
Figure 3 for Image Generation from Layout
Figure 4 for Image Generation from Layout
* 10 pages 
  Access Paper or Ask Questions

Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos


Oct 01, 2018
Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Frederick Tung, Leonid Sigal

Figure 1 for Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos
Figure 2 for Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos
Figure 3 for Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos
Figure 4 for Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos
* submitted to ICLR2019. arXiv admin note: text overlap with arXiv:1703.07814, arXiv:1406.6247 by other authors 
  Access Paper or Ask Questions

MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning


Jun 12, 2018
Bo Zhao, Xinwei Sun, Yanwei Fu, Yuan Yao, Yizhou Wang

Figure 1 for MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning
Figure 2 for MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning
Figure 3 for MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning
Figure 4 for MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning
* Accepted by the 35th International Conference on Machine Learning 
  Access Paper or Ask Questions

A Large-scale Attribute Dataset for Zero-shot Learning


May 16, 2018
Bo Zhao, Yanwei Fu, Rui Liang, Jiahong Wu, Yonggang Wang, Yizhou Wang

Figure 1 for A Large-scale Attribute Dataset for Zero-shot Learning
Figure 2 for A Large-scale Attribute Dataset for Zero-shot Learning
Figure 3 for A Large-scale Attribute Dataset for Zero-shot Learning
Figure 4 for A Large-scale Attribute Dataset for Zero-shot Learning

  Access Paper or Ask Questions

Modular Generative Adversarial Networks


Apr 10, 2018
Bo Zhao, Bo Chang, Zequn Jie, Leonid Sigal

Figure 1 for Modular Generative Adversarial Networks
Figure 2 for Modular Generative Adversarial Networks
Figure 3 for Modular Generative Adversarial Networks
Figure 4 for Modular Generative Adversarial Networks

  Access Paper or Ask Questions

Left-Right Comparative Recurrent Model for Stereo Matching


Apr 03, 2018
Zequn Jie, Pengfei Wang, Yonggen Ling, Bo Zhao, Yunchao Wei, Jiashi Feng, Wei Liu

Figure 1 for Left-Right Comparative Recurrent Model for Stereo Matching
Figure 2 for Left-Right Comparative Recurrent Model for Stereo Matching
Figure 3 for Left-Right Comparative Recurrent Model for Stereo Matching
Figure 4 for Left-Right Comparative Recurrent Model for Stereo Matching
* Accepted by CVPR 2018 
  Access Paper or Ask Questions

Zero-shot Learning via Shared-Reconstruction-Graph Pursuit


Nov 20, 2017
Bo Zhao, Xinwei Sun, Yuan Yao, Yizhou Wang

Figure 1 for Zero-shot Learning via Shared-Reconstruction-Graph Pursuit
Figure 2 for Zero-shot Learning via Shared-Reconstruction-Graph Pursuit
Figure 3 for Zero-shot Learning via Shared-Reconstruction-Graph Pursuit
Figure 4 for Zero-shot Learning via Shared-Reconstruction-Graph Pursuit

  Access Paper or Ask Questions

AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding


Nov 17, 2017
Jiahong Wu, He Zheng, Bo Zhao, Yixin Li, Baoming Yan, Rui Liang, Wenjia Wang, Shipei Zhou, Guosen Lin, Yanwei Fu, Yizhou Wang, Yonggang Wang

Figure 1 for AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding
Figure 2 for AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding
Figure 3 for AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding
Figure 4 for AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding

  Access Paper or Ask Questions

Neural Person Search Machines


Jul 21, 2017
Hao Liu, Jiashi Feng, Zequn Jie, Karlekar Jayashree, Bo Zhao, Meibin Qi, Jianguo Jiang, Shuicheng Yan

Figure 1 for Neural Person Search Machines
Figure 2 for Neural Person Search Machines
Figure 3 for Neural Person Search Machines
Figure 4 for Neural Person Search Machines
* ICCV2017 camera ready 
  Access Paper or Ask Questions

Diversified Visual Attention Networks for Fine-Grained Object Classification


May 18, 2017
Bo Zhao, Xiao Wu, Jiashi Feng, Qiang Peng, Shuicheng Yan

Figure 1 for Diversified Visual Attention Networks for Fine-Grained Object Classification
Figure 2 for Diversified Visual Attention Networks for Fine-Grained Object Classification
Figure 3 for Diversified Visual Attention Networks for Fine-Grained Object Classification
Figure 4 for Diversified Visual Attention Networks for Fine-Grained Object Classification
* Published in: IEEE Transactions on Multimedia ( Volume: 19, Issue: 6, June 2017 ) 
  Access Paper or Ask Questions

Zero-Shot Learning posed as a Missing Data Problem


Feb 21, 2017
Bo Zhao, Botong Wu, Tianfu Wu, Yizhou Wang

Figure 1 for Zero-Shot Learning posed as a Missing Data Problem
Figure 2 for Zero-Shot Learning posed as a Missing Data Problem
Figure 3 for Zero-Shot Learning posed as a Missing Data Problem
Figure 4 for Zero-Shot Learning posed as a Missing Data Problem

  Access Paper or Ask Questions