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 Xi Wang

Xi Wang

A statistical theory of out-of-distribution detection


Feb 24, 2021
Xi Wang, Laurence Aitchison

Figure 1 for A statistical theory of out-of-distribution detection
Figure 2 for A statistical theory of out-of-distribution detection
Figure 3 for A statistical theory of out-of-distribution detection
Figure 4 for A statistical theory of out-of-distribution detection

  Access Paper or Ask Questions

Leveraging Review Properties for Effective Recommendation


Feb 05, 2021
Xi Wang, Iadh Ounis, Craig Macdonald

Figure 1 for Leveraging Review Properties for Effective Recommendation
Figure 2 for Leveraging Review Properties for Effective Recommendation
Figure 3 for Leveraging Review Properties for Effective Recommendation
Figure 4 for Leveraging Review Properties for Effective Recommendation
* To be published in the International World Wide Web Conference (WWW) 2021 
  Access Paper or Ask Questions

CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles


Sep 24, 2020
Jingda Guo, Dominic Carrillo, Sihai Tang, Qi Chen, Qing Yang, Song Fu, Xi Wang, Nannan Wang, Paparao Palacharla

Figure 1 for CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles
Figure 2 for CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles
Figure 3 for CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles
Figure 4 for CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles

  Access Paper or Ask Questions

Toward Quantifying Ambiguities in Artistic Images


Aug 21, 2020
Xi Wang, Zoya Bylinskii, Aaron Hertzmann, Robert Pepperell

Figure 1 for Toward Quantifying Ambiguities in Artistic Images
Figure 2 for Toward Quantifying Ambiguities in Artistic Images
Figure 3 for Toward Quantifying Ambiguities in Artistic Images
Figure 4 for Toward Quantifying Ambiguities in Artistic Images
* ACM Trans. Applied Perception, 2020 
  Access Paper or Ask Questions

Deep Mining External Imperfect Data for Chest X-ray Disease Screening


Jun 06, 2020
Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng

Figure 1 for Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Figure 2 for Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Figure 3 for Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Figure 4 for Deep Mining External Imperfect Data for Chest X-ray Disease Screening
* Accepted to IEEE Transactions on Medical Imaging 
  Access Paper or Ask Questions

Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening


Jul 26, 2019
Xi Wang, Hao Chen, Luyang Luo, An-ran Ran, Poemen P. Chan, Clement C. Tham, Carol Y. Cheung, Pheng-Ann Heng

Figure 1 for Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening
Figure 2 for Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening
Figure 3 for Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening
* 9 pages, 2 figures, MICCAI2019 
  Access Paper or Ask Questions

Forward-Backward Decoding for Regularizing End-to-End TTS


Jul 18, 2019
Yibin Zheng, Xi Wang, Lei He, Shifeng Pan, Frank K. Soong, Zhengqi Wen, Jianhua Tao

Figure 1 for Forward-Backward Decoding for Regularizing End-to-End TTS
Figure 2 for Forward-Backward Decoding for Regularizing End-to-End TTS
Figure 3 for Forward-Backward Decoding for Regularizing End-to-End TTS
Figure 4 for Forward-Backward Decoding for Regularizing End-to-End TTS
* Accepted by INTERSPEECH2019. arXiv admin note: text overlap with arXiv:1808.04064, arXiv:1804.05374 by other authors 
  Access Paper or Ask Questions

Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis


Jun 07, 2019
Luyang Luo, Hao Chen, Xi Wang, Qi Dou, Huangjin Lin, Juan Zhou, Gongjie Li, Pheng-Ann Heng

Figure 1 for Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis
Figure 2 for Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis
Figure 3 for Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis
Figure 4 for Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis
* Accepted by MICCAI 2019 
  Access Paper or Ask Questions

Center of circle after perspective transformation


Feb 12, 2019
Xi Wang, Albert Chern, Marc Alexa

Figure 1 for Center of circle after perspective transformation
Figure 2 for Center of circle after perspective transformation
Figure 3 for Center of circle after perspective transformation

  Access Paper or Ask Questions

Large-Scale Domain Adaptation via Teacher-Student Learning


Aug 17, 2017
Jinyu Li, Michael L. Seltzer, Xi Wang, Rui Zhao, Yifan Gong

Figure 1 for Large-Scale Domain Adaptation via Teacher-Student Learning
Figure 2 for Large-Scale Domain Adaptation via Teacher-Student Learning
Figure 3 for Large-Scale Domain Adaptation via Teacher-Student Learning
Figure 4 for Large-Scale Domain Adaptation via Teacher-Student Learning

  Access Paper or Ask Questions

Aggregating Frame-level Features for Large-Scale Video Classification


Jul 04, 2017
Shaoxiang Chen, Xi Wang, Yongyi Tang, Xinpeng Chen, Zuxuan Wu, Yu-Gang Jiang

Figure 1 for Aggregating Frame-level Features for Large-Scale Video Classification
Figure 2 for Aggregating Frame-level Features for Large-Scale Video Classification
Figure 3 for Aggregating Frame-level Features for Large-Scale Video Classification
Figure 4 for Aggregating Frame-level Features for Large-Scale Video Classification
* Youtube-8M Challenge, 4th place 
  Access Paper or Ask Questions

Fusing Multi-Stream Deep Networks for Video Classification


Nov 11, 2015
Zuxuan Wu, Yu-Gang Jiang, Xi Wang, Hao Ye, Xiangyang Xue, Jun Wang

Figure 1 for Fusing Multi-Stream Deep Networks for Video Classification
Figure 2 for Fusing Multi-Stream Deep Networks for Video Classification
Figure 3 for Fusing Multi-Stream Deep Networks for Video Classification
Figure 4 for Fusing Multi-Stream Deep Networks for Video Classification

  Access Paper or Ask Questions

Evaluating Two-Stream CNN for Video Classification


Apr 08, 2015
Hao Ye, Zuxuan Wu, Rui-Wei Zhao, Xi Wang, Yu-Gang Jiang, Xiangyang Xue

Figure 1 for Evaluating Two-Stream CNN for Video Classification
Figure 2 for Evaluating Two-Stream CNN for Video Classification
Figure 3 for Evaluating Two-Stream CNN for Video Classification
Figure 4 for Evaluating Two-Stream CNN for Video Classification
* ACM ICMR'15 
  Access Paper or Ask Questions

Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification


Apr 07, 2015
Zuxuan Wu, Xi Wang, Yu-Gang Jiang, Hao Ye, Xiangyang Xue

Figure 1 for Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification
Figure 2 for Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification
Figure 3 for Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification
Figure 4 for Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification

  Access Paper or Ask Questions