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Learning to Detect Mobile Objects from LiDAR Scans Without Labels


Mar 29, 2022
Yurong You, Katie Z Luo, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger

* Accepted by CVPR 2022. Code is available at https://github.com/YurongYou/MODEST 

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Learning with Free Object Segments for Long-Tailed Instance Segmentation


Mar 29, 2022
Cheng Zhang, Tai-Yu Pan, Tianle Chen, Jike Zhong, Wenjin Fu, Wei-Lun Chao


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Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception


Mar 22, 2022
Yurong You, Katie Z Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger

* Accepted by ICLR 2022. Code is available at https://github.com/YurongYou/Hindsight 

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One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones


Feb 14, 2022
Chan Hee Song, Jihyung Kil, Tai-Yu Pan, Brian M. Sadler, Wei-Lun Chao, Yu Su

* 10 pages, 5 figures 

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Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans


Sep 24, 2021
Tai-Hsien Wu, Chunfeng Lian, Sanghee Lee, Matthew Pastewait, Christian Piers, Jie Liu, Fang Wang, Li Wang, Christina Jackson, Wei-Lun Chao, Dinggang Shen, Ching-Chang Ko

* 8 pages, 8 figures, submitted to IEEE TMI 

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Sequential Joint Shape and Pose Estimation of Vehicles with Application to Automatic Amodal Segmentation Labeling


Sep 20, 2021
Josephine Monica, Wei-Lun Chao, Mark Campbell

* In submission to International Conference on Robotics and Automation (ICRA) 2022 

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Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering


Sep 13, 2021
Jihyung Kil, Cheng Zhang, Dong Xuan, Wei-Lun Chao

* Accepted to EMNLP 2021 

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On Model Calibration for Long-Tailed Object Detection and Instance Segmentation


Jul 05, 2021
Tai-Yu Pan, Cheng Zhang, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao


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On Bridging Generic and Personalized Federated Learning


Jul 02, 2021
Hong-You Chen, Wei-Lun Chao


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Few-Shot Learning with a Strong Teacher


Jul 01, 2021
Han-Jia Ye, Lu Ming, De-Chuan Zhan, Wei-Lun Chao


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How to Train Your MAML to Excel in Few-Shot Classification


Jun 30, 2021
Han-Jia Ye, Wei-Lun Chao


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Revisiting Document Representations for Large-Scale Zero-Shot Learning


Apr 21, 2021
Jihyung Kil, Wei-Lun Chao

* Accepted to NAACL 2021 

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Procrustean Training for Imbalanced Deep Learning


Apr 05, 2021
Han-Jia Ye, De-Chuan Zhan, Wei-Lun Chao


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Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection


Mar 26, 2021
Yurong You, Carlos Andres Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Bharath Hariharan, Mark Campbell, Kilian Q Weinberger

* RAL-IROS 2021 submission 

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A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection


Feb 17, 2021
Cheng Zhang, Tai-Yu Pan, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao


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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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