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 Hao Li

Hao Li

HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning


Oct 08, 2021
Shiming Chen, Guo-Sen Xie, Yang Liu, Qinmu Peng, Baigui Sun, Hao Li, Xinge You, Ling Shao

Figure 1 for HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning
Figure 2 for HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning
Figure 3 for HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning
Figure 4 for HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning
* Accepted by NeurIPS 2021 
  Access Paper or Ask Questions

Topologically Consistent Multi-View Face Inference Using Volumetric Sampling


Oct 06, 2021
Tianye Li, Shichen Liu, Timo Bolkart, Jiayi Liu, Hao Li, Yajie Zhao

* International Conference on Computer Vision (ICCV) 
  Access Paper or Ask Questions

Unsupervised Cross-Modality Domain Adaptation for Segmenting Vestibular Schwannoma and Cochlea with Data Augmentation and Model Ensemble


Sep 24, 2021
Hao Li, Dewei Hu, Qibang Zhu, Kathleen E. Larson, Huahong Zhang, Ipek Oguz

Figure 1 for Unsupervised Cross-Modality Domain Adaptation for Segmenting Vestibular Schwannoma and Cochlea with Data Augmentation and Model Ensemble
Figure 2 for Unsupervised Cross-Modality Domain Adaptation for Segmenting Vestibular Schwannoma and Cochlea with Data Augmentation and Model Ensemble

  Access Paper or Ask Questions

Interpolation variable rate image compression


Sep 20, 2021
Zhenhong Sun, Zhiyu Tan, Xiuyu Sun, Fangyi Zhang, Yichen Qian, Dongyang Li, Hao Li

Figure 1 for Interpolation variable rate image compression
Figure 2 for Interpolation variable rate image compression
Figure 3 for Interpolation variable rate image compression
Figure 4 for Interpolation variable rate image compression

  Access Paper or Ask Questions

DisUnknown: Distilling Unknown Factors for Disentanglement Learning


Sep 16, 2021
Sitao Xiang, Yuming Gu, Pengda Xiang, Menglei Chai, Hao Li, Yajie Zhao, Mingming He

Figure 1 for DisUnknown: Distilling Unknown Factors for Disentanglement Learning
Figure 2 for DisUnknown: Distilling Unknown Factors for Disentanglement Learning
Figure 3 for DisUnknown: Distilling Unknown Factors for Disentanglement Learning
Figure 4 for DisUnknown: Distilling Unknown Factors for Disentanglement Learning
* Accepted for publication at ICCV 2021. Videos, demos and updates will be published at project website: https://stormraiser.github.io/disunknown/ 
  Access Paper or Ask Questions

CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation


Sep 13, 2021
Tongkun Xu, Weihua Chen, Pichao Wang, Fan Wang, Hao Li, Rong Jin

Figure 1 for CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
Figure 2 for CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
Figure 3 for CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
Figure 4 for CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation

  Access Paper or Ask Questions

Scaled ReLU Matters for Training Vision Transformers


Sep 08, 2021
Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin

Figure 1 for Scaled ReLU Matters for Training Vision Transformers
Figure 2 for Scaled ReLU Matters for Training Vision Transformers
Figure 3 for Scaled ReLU Matters for Training Vision Transformers
Figure 4 for Scaled ReLU Matters for Training Vision Transformers

  Access Paper or Ask Questions

Digging into Uncertainty in Self-supervised Multi-view Stereo


Sep 08, 2021
Hongbin Xu, Zhipeng Zhou, Yali Wang, Wenxiong Kang, Baigui Sun, Hao Li, Yu Qiao

Figure 1 for Digging into Uncertainty in Self-supervised Multi-view Stereo
Figure 2 for Digging into Uncertainty in Self-supervised Multi-view Stereo
Figure 3 for Digging into Uncertainty in Self-supervised Multi-view Stereo
Figure 4 for Digging into Uncertainty in Self-supervised Multi-view Stereo
* This paper is accepted by ICCV-21 as a poster presentation 
  Access Paper or Ask Questions

Dash: Semi-Supervised Learning with Dynamic Thresholding


Sep 01, 2021
Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yu-Feng Li, Baigui Sun, Hao Li, Rong Jin

Figure 1 for Dash: Semi-Supervised Learning with Dynamic Thresholding
Figure 2 for Dash: Semi-Supervised Learning with Dynamic Thresholding
Figure 3 for Dash: Semi-Supervised Learning with Dynamic Thresholding
Figure 4 for Dash: Semi-Supervised Learning with Dynamic Thresholding
* ICML 2021 
  Access Paper or Ask Questions

Exploring the Quality of GAN Generated Images for Person Re-Identification


Aug 23, 2021
Yiqi Jiang, Weihua Chen, Xiuyu Sun, Xiaoyu Shi, Fan Wang, Hao Li

Figure 1 for Exploring the Quality of GAN Generated Images for Person Re-Identification
Figure 2 for Exploring the Quality of GAN Generated Images for Person Re-Identification
Figure 3 for Exploring the Quality of GAN Generated Images for Person Re-Identification
Figure 4 for Exploring the Quality of GAN Generated Images for Person Re-Identification
* 10 pages, 4 figures 
  Access Paper or Ask Questions

Fine-Grained AutoAugmentation for Multi-Label Classification


Jul 13, 2021
Ya Wang, Hesen Chen, Fangyi Zhang, Yaohua Wang, Xiuyu Sun, Ming Lin, Hao Li

Figure 1 for Fine-Grained AutoAugmentation for Multi-Label Classification
Figure 2 for Fine-Grained AutoAugmentation for Multi-Label Classification
Figure 3 for Fine-Grained AutoAugmentation for Multi-Label Classification
Figure 4 for Fine-Grained AutoAugmentation for Multi-Label Classification

  Access Paper or Ask Questions

A Cloud-Edge-Terminal Collaborative System for Temperature Measurement in COVID-19 Prevention


Jul 11, 2021
Zheyi Ma, Hao Li, Wen Fang, Qingwen Liu, Bin Zhou, Zhiyong Bu

Figure 1 for A Cloud-Edge-Terminal Collaborative System for Temperature Measurement in COVID-19 Prevention
Figure 2 for A Cloud-Edge-Terminal Collaborative System for Temperature Measurement in COVID-19 Prevention
Figure 3 for A Cloud-Edge-Terminal Collaborative System for Temperature Measurement in COVID-19 Prevention
Figure 4 for A Cloud-Edge-Terminal Collaborative System for Temperature Measurement in COVID-19 Prevention
* 6 pages, 8 figures, INFOCOMW ICCN 2021 
  Access Paper or Ask Questions

LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation


Jul 09, 2021
Dewei Hu, Can Cui, Hao Li, Kathleen E. Larson, Yuankai K. Tao, Ipek Oguz

Figure 1 for LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation
Figure 2 for LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation
Figure 3 for LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation
Figure 4 for LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation
* Accepted by International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2021 
  Access Paper or Ask Questions

Graph Convolution for Re-ranking in Person Re-identification


Jul 05, 2021
Yuqi Zhang, Qian Qi, Chong Liu, Weihua Chen, Fan Wang, Hao Li, Rong Jin

Figure 1 for Graph Convolution for Re-ranking in Person Re-identification
Figure 2 for Graph Convolution for Re-ranking in Person Re-identification
Figure 3 for Graph Convolution for Re-ranking in Person Re-identification
Figure 4 for Graph Convolution for Re-ranking in Person Re-identification

  Access Paper or Ask Questions

Align Yourself: Self-supervised Pre-training for Fine-grained Recognition via Saliency Alignment


Jun 30, 2021
Di Wu, Siyuan Li, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li

Figure 1 for Align Yourself: Self-supervised Pre-training for Fine-grained Recognition via Saliency Alignment
Figure 2 for Align Yourself: Self-supervised Pre-training for Fine-grained Recognition via Saliency Alignment
Figure 3 for Align Yourself: Self-supervised Pre-training for Fine-grained Recognition via Saliency Alignment
Figure 4 for Align Yourself: Self-supervised Pre-training for Fine-grained Recognition via Saliency Alignment

  Access Paper or Ask Questions

Normalized Avatar Synthesis Using StyleGAN and Perceptual Refinement


Jun 21, 2021
Huiwen Luo, Koki Nagano, Han-Wei Kung, Mclean Goldwhite, Qingguo Xu, Zejian Wang, Lingyu Wei, Liwen Hu, Hao Li

Figure 1 for Normalized Avatar Synthesis Using StyleGAN and Perceptual Refinement
Figure 2 for Normalized Avatar Synthesis Using StyleGAN and Perceptual Refinement
Figure 3 for Normalized Avatar Synthesis Using StyleGAN and Perceptual Refinement
Figure 4 for Normalized Avatar Synthesis Using StyleGAN and Perceptual Refinement
* Accepted to CVPR 2021 
  Access Paper or Ask Questions

Task-Generic Hierarchical Human Motion Prior using VAEs


Jun 07, 2021
Jiaman Li, Ruben Villegas, Duygu Ceylan, Jimei Yang, Zhengfei Kuang, Hao Li, Yajie Zhao

Figure 1 for Task-Generic Hierarchical Human Motion Prior using VAEs
Figure 2 for Task-Generic Hierarchical Human Motion Prior using VAEs
Figure 3 for Task-Generic Hierarchical Human Motion Prior using VAEs
Figure 4 for Task-Generic Hierarchical Human Motion Prior using VAEs

  Access Paper or Ask Questions

An Efficient Training Approach for Very Large Scale Face Recognition


Jun 04, 2021
Kai Wang, Shuo Wang, Zhipeng Zhou, Xiaobo Wang, Xiaojiang Peng, Baigui Sun, Hao Li, Yang You

Figure 1 for An Efficient Training Approach for Very Large Scale Face Recognition
Figure 2 for An Efficient Training Approach for Very Large Scale Face Recognition
Figure 3 for An Efficient Training Approach for Very Large Scale Face Recognition
Figure 4 for An Efficient Training Approach for Very Large Scale Face Recognition
* This is a very effcient framework for ultra-large-scale classification tasks. Our code is available at https://github.com/tiandunx/FFC. We will keep updating! 
  Access Paper or Ask Questions

KVT: k-NN Attention for Boosting Vision Transformers


May 28, 2021
Pichao Wang, Xue Wang, Fan Wang, Ming Lin, Shuning Chang, Wen Xie, Hao Li, Rong Jin

Figure 1 for KVT: k-NN Attention for Boosting Vision Transformers
Figure 2 for KVT: k-NN Attention for Boosting Vision Transformers
Figure 3 for KVT: k-NN Attention for Boosting Vision Transformers
Figure 4 for KVT: k-NN Attention for Boosting Vision Transformers

  Access Paper or Ask Questions

Unsupervised Visual Representation Learning by Online Constrained K-Means


May 24, 2021
Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin

Figure 1 for Unsupervised Visual Representation Learning by Online Constrained K-Means
Figure 2 for Unsupervised Visual Representation Learning by Online Constrained K-Means
Figure 3 for Unsupervised Visual Representation Learning by Online Constrained K-Means
Figure 4 for Unsupervised Visual Representation Learning by Online Constrained K-Means

  Access Paper or Ask Questions

An Empirical Study of Vehicle Re-Identification on the AI City Challenge


May 20, 2021
Hao Luo, Weihua Chen, Xianzhe Xu, Jianyang Gu, Yuqi Zhang, Chong Liu, Yiqi Jiang, Shuting He, Fan Wang, Hao Li

Figure 1 for An Empirical Study of Vehicle Re-Identification on the AI City Challenge
Figure 2 for An Empirical Study of Vehicle Re-Identification on the AI City Challenge
Figure 3 for An Empirical Study of Vehicle Re-Identification on the AI City Challenge
Figure 4 for An Empirical Study of Vehicle Re-Identification on the AI City Challenge
* CVPR 2021 AI CITY CHALLENGE City-Scale Multi-Camera Vehicle Re-Identification Top 1. arXiv admin note: text overlap with arXiv:2004.10547 
  Access Paper or Ask Questions

Importance Weighted Adversarial Discriminative Transfer for Anomaly Detection


May 19, 2021
Cangning Fan, Fangyi Zhang, Peng Liu, Xiuyu Sun, Hao Li, Ting Xiao, Wei Zhao, Xianglong Tang

Figure 1 for Importance Weighted Adversarial Discriminative Transfer for Anomaly Detection
Figure 2 for Importance Weighted Adversarial Discriminative Transfer for Anomaly Detection
Figure 3 for Importance Weighted Adversarial Discriminative Transfer for Anomaly Detection
Figure 4 for Importance Weighted Adversarial Discriminative Transfer for Anomaly Detection

  Access Paper or Ask Questions

Maximizing Mutual Information Across Feature and Topology Views for Learning Graph Representations


May 14, 2021
Xiaolong Fan, Maoguo Gong, Yue Wu, Hao Li

Figure 1 for Maximizing Mutual Information Across Feature and Topology Views for Learning Graph Representations
Figure 2 for Maximizing Mutual Information Across Feature and Topology Views for Learning Graph Representations
Figure 3 for Maximizing Mutual Information Across Feature and Topology Views for Learning Graph Representations
Figure 4 for Maximizing Mutual Information Across Feature and Topology Views for Learning Graph Representations

  Access Paper or Ask Questions

City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones


May 14, 2021
Chong Liu, Yuqi Zhang, Hao Luo, Jiasheng Tang, Weihua Chen, Xianzhe Xu, Fan Wang, Hao Li, Yi-Dong Shen

Figure 1 for City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones
Figure 2 for City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones
Figure 3 for City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones
Figure 4 for City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones
* CVPR 2021 AI CITY CHALLENGE City-Scale Multi-Camera Vehicle Tracking Top 1 
  Access Paper or Ask Questions

Why Does Multi-Epoch Training Help?


May 13, 2021
Yi Xu, Qi Qian, Hao Li, Rong Jin


  Access Paper or Ask Questions