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 Chi Zhang

Chi Zhang

Department of Computer Science and Engineering, University of Gothenburg, Gothenburg, Sweden

Effectiveness of Optimization Algorithms in Deep Image Classification


Oct 04, 2021
Zhaoyang Zhu, Haozhe Sun, Chi Zhang

Figure 1 for Effectiveness of Optimization Algorithms in Deep Image Classification
Figure 2 for Effectiveness of Optimization Algorithms in Deep Image Classification
Figure 3 for Effectiveness of Optimization Algorithms in Deep Image Classification
Figure 4 for Effectiveness of Optimization Algorithms in Deep Image Classification

  Access Paper or Ask Questions

Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework


Oct 04, 2021
Tengteng Huang, Yifan Sun, Xun Wang, Haotian Yao, Chi Zhang

Figure 1 for Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
Figure 2 for Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
Figure 3 for Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
Figure 4 for Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework

  Access Paper or Ask Questions

Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations


Oct 03, 2021
Chi Zhang, Sanmukh Rao Kuppannagari, Viktor K Prasanna

Figure 1 for Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations
Figure 2 for Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations
Figure 3 for Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations
Figure 4 for Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations
* 10 pages. Accepted by HiPC21 
  Access Paper or Ask Questions

BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning


Oct 02, 2021
Chi Zhang, Sanmukh Rao Kuppannagari, Viktor K Prasanna

Figure 1 for BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning
Figure 2 for BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning
Figure 3 for BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning
Figure 4 for BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning
* 16 pages. Accepted by ACML21 
  Access Paper or Ask Questions

Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence


Sep 28, 2021
Wennan Chang, Pengtao Dang, Changlin Wan, Xiaoyu Lu, Yue Fang, Tong Zhao, Yong Zang, Bo Li, Chi Zhang, Sha Cao

Figure 1 for Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence
Figure 2 for Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence
* Accepted by ICDM IEEE 2021 
  Access Paper or Ask Questions

Adaptive Reliability Analysis for Multi-fidelity Models using a Collective Learning Strategy


Sep 21, 2021
Chi Zhang, Chaolin Song, Abdollah Shafieezadeh

Figure 1 for Adaptive Reliability Analysis for Multi-fidelity Models using a Collective Learning Strategy
Figure 2 for Adaptive Reliability Analysis for Multi-fidelity Models using a Collective Learning Strategy
Figure 3 for Adaptive Reliability Analysis for Multi-fidelity Models using a Collective Learning Strategy
Figure 4 for Adaptive Reliability Analysis for Multi-fidelity Models using a Collective Learning Strategy
* Structural Safety, Volume 94, January 2022, 102141 
  Access Paper or Ask Questions

Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning


Sep 13, 2021
Chi Zhang, Henghui Ding, Guosheng Lin, Ruibo Li, Changhu Wang, Chunhua Shen

Figure 1 for Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning
Figure 2 for Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning
Figure 3 for Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning
Figure 4 for Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning
* Accepted by ICCV2021 
  Access Paper or Ask Questions

GeneAnnotator: A Semi-automatic Annotation Tool for Visual Scene Graph


Sep 06, 2021
Zhixuan Zhang, Chi Zhang, Zhenning Niu, Le Wang, Yuehu Liu

Figure 1 for GeneAnnotator: A Semi-automatic Annotation Tool for Visual Scene Graph
Figure 2 for GeneAnnotator: A Semi-automatic Annotation Tool for Visual Scene Graph
Figure 3 for GeneAnnotator: A Semi-automatic Annotation Tool for Visual Scene Graph
* 5 pages, 2 figures, 2 tables 
  Access Paper or Ask Questions

Scalable Data Annotation Pipeline for High-Quality Large Speech Datasets Development


Sep 01, 2021
Mingkuan Liu, Chi Zhang, Hua Xing, Chao Feng, Monchu Chen, Judith Bishop, Grace Ngapo

Figure 1 for Scalable Data Annotation Pipeline for High-Quality Large Speech Datasets Development
Figure 2 for Scalable Data Annotation Pipeline for High-Quality Large Speech Datasets Development
Figure 3 for Scalable Data Annotation Pipeline for High-Quality Large Speech Datasets Development
Figure 4 for Scalable Data Annotation Pipeline for High-Quality Large Speech Datasets Development
* Submitted to NeurIPS 2021 Datasets and Benchmarks Track (Round 2) 
  Access Paper or Ask Questions

Calibrating Class Activation Maps for Long-Tailed Visual Recognition


Aug 29, 2021
Chi Zhang, Guosheng Lin, Lvlong Lai, Henghui Ding, Qingyao Wu

Figure 1 for Calibrating Class Activation Maps for Long-Tailed Visual Recognition
Figure 2 for Calibrating Class Activation Maps for Long-Tailed Visual Recognition
Figure 3 for Calibrating Class Activation Maps for Long-Tailed Visual Recognition
Figure 4 for Calibrating Class Activation Maps for Long-Tailed Visual Recognition

  Access Paper or Ask Questions

Binocular Mutual Learning for Improving Few-shot Classification


Aug 27, 2021
Ziqi Zhou, Xi Qiu, Jiangtao Xie, Jianan Wu, Chi Zhang

Figure 1 for Binocular Mutual Learning for Improving Few-shot Classification
Figure 2 for Binocular Mutual Learning for Improving Few-shot Classification
Figure 3 for Binocular Mutual Learning for Improving Few-shot Classification
Figure 4 for Binocular Mutual Learning for Improving Few-shot Classification
* Accepted by ICCV 2021 
  Access Paper or Ask Questions

Temporal Knowledge Consistency for Unsupervised Visual Representation Learning


Aug 24, 2021
Weixin Feng, Yuanjiang Wang, Lihua Ma, Ye Yuan, Chi Zhang

Figure 1 for Temporal Knowledge Consistency for Unsupervised Visual Representation Learning
Figure 2 for Temporal Knowledge Consistency for Unsupervised Visual Representation Learning
Figure 3 for Temporal Knowledge Consistency for Unsupervised Visual Representation Learning
Figure 4 for Temporal Knowledge Consistency for Unsupervised Visual Representation Learning
* ICCV 2021 
 * To appear in ICCV 2021 
  Access Paper or Ask Questions

DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection


Aug 20, 2021
Limeng Qiao, Yuxuan Zhao, Zhiyuan Li, Xi Qiu, Jianan Wu, Chi Zhang

Figure 1 for DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
Figure 2 for DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
Figure 3 for DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
Figure 4 for DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
* Accepted by ICCV 2021 
  Access Paper or Ask Questions

Few-shot Segmentation with Optimal Transport Matching and Message Flow


Aug 19, 2021
Weide Liu, Chi Zhang, Henghui Ding, Tzu-Yi Hung, Guosheng Lin

Figure 1 for Few-shot Segmentation with Optimal Transport Matching and Message Flow
Figure 2 for Few-shot Segmentation with Optimal Transport Matching and Message Flow
Figure 3 for Few-shot Segmentation with Optimal Transport Matching and Message Flow
Figure 4 for Few-shot Segmentation with Optimal Transport Matching and Message Flow

  Access Paper or Ask Questions

Unified Regularity Measures for Sample-wise Learning and Generalization


Aug 09, 2021
Chi Zhang, Xiaoning Ma, Yu Liu, Le Wang, Yuanqi Su, Yuehu Liu

Figure 1 for Unified Regularity Measures for Sample-wise Learning and Generalization
Figure 2 for Unified Regularity Measures for Sample-wise Learning and Generalization
Figure 3 for Unified Regularity Measures for Sample-wise Learning and Generalization
Figure 4 for Unified Regularity Measures for Sample-wise Learning and Generalization
* 20 pages, 13 figures, 3 tables 
  Access Paper or Ask Questions

M2IOSR: Maximal Mutual Information Open Set Recognition


Aug 06, 2021
Xin Sun, Henghui Ding, Chi Zhang, Guosheng Lin, Keck-Voon Ling

Figure 1 for M2IOSR: Maximal Mutual Information Open Set Recognition
Figure 2 for M2IOSR: Maximal Mutual Information Open Set Recognition
Figure 3 for M2IOSR: Maximal Mutual Information Open Set Recognition
Figure 4 for M2IOSR: Maximal Mutual Information Open Set Recognition

  Access Paper or Ask Questions

IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID


Aug 05, 2021
Yongxing Dai, Jun Liu, Yifan Sun, Zekun Tong, Chi Zhang, Ling-Yu Duan

Figure 1 for IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID
Figure 2 for IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID
Figure 3 for IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID
Figure 4 for IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID
* Accepted by ICCV 2021 (Oral) 
  Access Paper or Ask Questions

Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks


Jun 13, 2021
Changlin Wan, Muhan Zhang, Wei Hao, Sha Cao, Pan Li, Chi Zhang

Figure 1 for Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks
Figure 2 for Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks
Figure 3 for Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks
Figure 4 for Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks

  Access Paper or Ask Questions

Social-IWSTCNN: A Social Interaction-Weighted Spatio-Temporal Convolutional Neural Network for Pedestrian Trajectory Prediction in Urban Traffic Scenarios


May 26, 2021
Chi Zhang, Christian Berger, Marco Dozza

Figure 1 for Social-IWSTCNN: A Social Interaction-Weighted Spatio-Temporal Convolutional Neural Network for Pedestrian Trajectory Prediction in Urban Traffic Scenarios
Figure 2 for Social-IWSTCNN: A Social Interaction-Weighted Spatio-Temporal Convolutional Neural Network for Pedestrian Trajectory Prediction in Urban Traffic Scenarios
Figure 3 for Social-IWSTCNN: A Social Interaction-Weighted Spatio-Temporal Convolutional Neural Network for Pedestrian Trajectory Prediction in Urban Traffic Scenarios
Figure 4 for Social-IWSTCNN: A Social Interaction-Weighted Spatio-Temporal Convolutional Neural Network for Pedestrian Trajectory Prediction in Urban Traffic Scenarios
* 8 pages, 4 figures. Accepted in IEEE Intelligent Vehicles Symposium (IV), 2021 
  Access Paper or Ask Questions

More Separable and Easier to Segment: A Cluster Alignment Method for Cross-Domain Semantic Segmentation


May 07, 2021
Shuang Wang, Dong Zhao, Yi Li, Chi Zhang, Yuwei Guo, Qi Zang, Biao Hou, Licheng Jiao

Figure 1 for More Separable and Easier to Segment: A Cluster Alignment Method for Cross-Domain Semantic Segmentation
Figure 2 for More Separable and Easier to Segment: A Cluster Alignment Method for Cross-Domain Semantic Segmentation
Figure 3 for More Separable and Easier to Segment: A Cluster Alignment Method for Cross-Domain Semantic Segmentation
Figure 4 for More Separable and Easier to Segment: A Cluster Alignment Method for Cross-Domain Semantic Segmentation

  Access Paper or Ask Questions

Few-Shot Incremental Learning with Continually Evolved Classifiers


Apr 07, 2021
Chi Zhang, Nan Song, Guosheng Lin, Yun Zheng, Pan Pan, Yinghui Xu

Figure 1 for Few-Shot Incremental Learning with Continually Evolved Classifiers
Figure 2 for Few-Shot Incremental Learning with Continually Evolved Classifiers
Figure 3 for Few-Shot Incremental Learning with Continually Evolved Classifiers
Figure 4 for Few-Shot Incremental Learning with Continually Evolved Classifiers
* Accpeted to CVPR2021 
  Access Paper or Ask Questions

Efficient DETR: Improving End-to-End Object Detector with Dense Prior


Apr 03, 2021
Zhuyu Yao, Jiangbo Ai, Boxun Li, Chi Zhang

Figure 1 for Efficient DETR: Improving End-to-End Object Detector with Dense Prior
Figure 2 for Efficient DETR: Improving End-to-End Object Detector with Dense Prior
Figure 3 for Efficient DETR: Improving End-to-End Object Detector with Dense Prior
Figure 4 for Efficient DETR: Improving End-to-End Object Detector with Dense Prior
* 10 pages, 5 figures, 10 tables 
  Access Paper or Ask Questions

ACRE: Abstract Causal REasoning Beyond Covariation


Mar 26, 2021
Chi Zhang, Baoxiong Jia, Mark Edmonds, Song-Chun Zhu, Yixin Zhu

Figure 1 for ACRE: Abstract Causal REasoning Beyond Covariation
Figure 2 for ACRE: Abstract Causal REasoning Beyond Covariation
Figure 3 for ACRE: Abstract Causal REasoning Beyond Covariation
Figure 4 for ACRE: Abstract Causal REasoning Beyond Covariation
* CVPR 2021 paper. Supplementary: http://wellyzhang.github.io/attach/cvpr21zhang_acre_supp.pdf Project: http://wellyzhang.github.io/project/acre.html 
  Access Paper or Ask Questions

Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance


Mar 26, 2021
Xu Xie, Chi Zhang, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu

Figure 1 for Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance
Figure 2 for Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance
Figure 3 for Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance
Figure 4 for Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance
* ICRA 2021 paper. Project: https://xuxie1031.github.io/projects/GTA/GTAProj.html 
  Access Paper or Ask Questions

Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution


Mar 26, 2021
Chi Zhang, Baoxiong Jia, Song-Chun Zhu, Yixin Zhu

Figure 1 for Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution
Figure 2 for Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution
Figure 3 for Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution
Figure 4 for Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution
* CVPR 2021 paper. Supplementary: http://wellyzhang.github.io/attach/cvpr21zhang_prae_supp.pdf Project: http://wellyzhang.github.io/project/prae.html 
  Access Paper or Ask Questions

Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales


Mar 22, 2021
Yifan Sun, Yuke Zhu, Yuhan Zhang, Pengkun Zheng, Xi Qiu, Chi Zhang, Yichen Wei

Figure 1 for Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales
Figure 2 for Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales
Figure 3 for Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales
Figure 4 for Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales
* 8pages, accepted by CVPR 2021 
  Access Paper or Ask Questions