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FedDistill: Making Bayesian Model Ensemble Applicable to Federated Learning

Sep 04, 2020
Hong-You Chen, Wei-Lun Chao


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MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation

Jul 24, 2020
Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim


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Wasserstein Distances for Stereo Disparity Estimation

Jul 06, 2020
Divyansh Garg, Yan Wang, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao


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Train in Germany, Test in The USA: Making 3D Object Detectors Generalize

May 17, 2020
Yan Wang, Xiangyu Chen, Yurong You, Li Erran, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao

* Accepted to 2020 Conference on Computer Vision and Pattern Recognition (CVPR 2020) 

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End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection

Apr 07, 2020
Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge Belongie, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao

* Accepted to 2020 Conference on Computer Vision and Pattern Recognition (CVPR 2020) 

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Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning

Feb 20, 2020
Han-Jia Ye, Hong-You Chen, De-Chuan Zhan, Wei-Lun Chao


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Interactive Natural Language-based Person Search

Feb 19, 2020
Vikram Shree, Wei-Lun Chao, Mark Campbell

* in IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 1851-1858, April 2020 
* 8 pages, 12 figures, Published in IEEE Robotics and Automation Letters (RA-L), "Dataset at: https://github.com/vikshree/QA_PersonSearchLanguageData" , Video attachment at: https://www.youtube.com/watch?v=Yyxu8uVUREE&feature=youtu.be 

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Revisiting Meta-Learning as Supervised Learning

Feb 03, 2020
Wei-Lun Chao, Han-Jia Ye, De-Chuan Zhan, Mark Campbell, Kilian Q. Weinberger

* An extended version of the paper titled "A Meta Understanding of Meta-Learning" presented in ICML 2019 Workshop on Adaptive and Multitask Learning: Algorithms & Systems 

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An Empirical Study of Person Re-Identification with Attributes

Jan 25, 2020
Vikram Shree, Wei-Lun Chao, Mark Campbell

* Accepted by RO-MAN 2019, 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE, 2019 

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Visual Question Answering on 360° Images

Jan 10, 2020
Shih-Han Chou, Wei-Lun Chao, Wei-Sheng Lai, Min Sun, Ming-Hsuan Yang

* Accepted to WACV 2020 

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SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning

Nov 16, 2019
Yan Wang, Wei-Lun Chao, Kilian Q. Weinberger, Laurens van der Maaten


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LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images

Oct 30, 2019
Brian H. Wang, Wei-Lun Chao, Yan Wang, Bharath Hariharan, Kilian Q. Weinberger, Mark Campbell

* Accepted for publication in IEEE Robotics and Automation Letters with presentation at IROS 2019 

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A New Defense Against Adversarial Images: Turning a Weakness into a Strength

Oct 16, 2019
Tao Yu, Shengyuan Hu, Chuan Guo, Wei-Lun Chao, Kilian Q. Weinberger

* *: Equal Contribution, 14 pages 

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An Empirical Study on Leveraging Scene Graphs for Visual Question Answering

Jul 28, 2019
Cheng Zhang, Wei-Lun Chao, Dong Xuan

* Accepted as oral presentation at BMVC 2019 

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Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving

Jun 14, 2019
Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger


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Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

Jan 18, 2019
Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger


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Classifier and Exemplar Synthesis for Zero-Shot Learning

Dec 16, 2018
Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha

* Extended version of arXiv:1603.00550 (CVPR 2016) and arXiv:1605.08151 (ICCV 2017) 

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Cross-Dataset Adaptation for Visual Question Answering

Jun 10, 2018
Wei-Lun Chao, Hexiang Hu, Fei Sha

* Accepted at CVPR 2018 

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Learning Answer Embeddings for Visual Question Answering

Jun 10, 2018
Hexiang Hu, Wei-Lun Chao, Fei Sha

* Accepted at CVPR 2018 

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Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets

Jun 10, 2018
Wei-Lun Chao, Hexiang Hu, Fei Sha

* Accepted for Oral Presentation at NAACL-HLT 2018 

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Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning

Aug 20, 2017
Soravit Changpinyo, Wei-Lun Chao, Fei Sha

* ICCV2017 camera-ready 

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An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild

Jan 11, 2017
Wei-Lun Chao, Soravit Changpinyo, Boqing Gong, Fei Sha

* ECCV2016 camera-ready 

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Video Summarization with Long Short-term Memory

Jul 29, 2016
Ke Zhang, Wei-Lun Chao, Fei Sha, Kristen Grauman

* To appear in ECCV 2016 

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Synthesized Classifiers for Zero-Shot Learning

May 27, 2016
Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha


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Summary Transfer: Exemplar-based Subset Selection for Video Summarization

Apr 29, 2016
Ke Zhang, Wei-Lun Chao, Fei Sha, Kristen Grauman

* CVPR 2016 camera ready 

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