2020


Wei Lun Chao*, Han Jia Ye*, De Chuan Zhan, Mark Campbell, and Kilian Q. Weinberger, "Revisiting Meta-Learning as Supervised Learning," arXiv preprint arXiv:2002.00573, 2020 [PDF]





Han-Jia Ye, Hong-You Chen, De-Chuan Zhan, and Wei-Lun Chao, "Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning," arXiv preprint arXiv:2001.01385, 2020 [PDF]




Yan Wang*, Xiangyu Chen*, Yurong You*, Li Erran Li, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, and Wei-Lun Chao, "Train in Germany, Test in the USA: Making 3D Object Detectors Generalize," to appear in CVPR, 2020





Rui Qian*, Divyansh Garg*, Yan Wang, Yurong You, Serge Belongie, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, and Wei-Lun Chao, "End-to-end Pseudo-LiDAR for Image-Based 3D Object Detection," to appear in CVPR, 2020





Vikram Shree, Wei Lun Chao, and Mark Campbell, "Interactive Natural Language based Person Search," IEEE RA-L & to appear in ICRA, 2020 [PDF]





Yurong You*, Yan Wang*, Wei-Lun Chao*, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark Campbell, and Kilian Q. Weinberger, "Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving," to appear in ICLR, 2020 [PDF]






Shih-Han Chou, Wei-Lun Chao, Wei-Sheng Lai, Min Sun, and Ming-Hsuan Yang, "Visual Question Answering on 360 Images," WACV, 2020



2019


Yan Wang, Wei-Lun Chao, Kilian Q Weinberger, and Laurens van der Maaten, "SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning," arXiv preprint arXiv:1911.04623, 2019 [PDF]










Tao Yu*, Shengyuan Hu*, Chuan Guo, Wei-Lun Chao, and Kilian Q. Weinberger, "A New Defense Against Adversarial Images: Turning a Weakness into a Strength," NeurIPS, 2019 [PDF]
















Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, and Kilian Q. Weinberger, "Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving," CVPR, 2019 [website, code and data, PDF, suppl., poster]

Selected media coverage [Cornell Chronicle, NSF]



Brian Wang, Wei-Lun Chao, Yan Wang, Bharath Hariharan, Kilian Q. Weinberger, and Mark Campbell, "LDLS: 3D Object Segmentation through Label Diffusion from 2D Images," IEEE RA-L & IROS, 2019 [PDF]









Carlos Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Kilian Q. Weinberger, and Mark Campbell, "Vision-Only 3D Tracking for Self-Driving Cars," IEEE CASE, 2019













Vikram Shree, Wei-Lun Chao, and Mark Campbell, "An Empirical Study of Person Re-Identification with Attributes," RO-MAN, 2019 [PDF]





Cheng Zhang, Wei-Lun Chao, and Dong Xuan, "An Empirical Study on Leveraging Scene Graphs for Visual Question Answering," BMVC, 2019 [PDF]




Soravit Changpinyo*, Wei-Lun Chao*, Boqing Gong, and Fei Sha, "Classifier and Exemplar Synthesis for Zero-Shot Learning," IJCV, 2019 [PDF, code and data]












Wei-Lun Chao, Hanisha Manickavasagan, and Somashekar G Krishna, "Application of artificial intelligence in the detection and differentiation of colon polyps: a technical review for physicians," Diagnostics, 2019 [PDF]



2018


Wei-Lun Chao*, Hexiang Hu*, and Fei Sha, "Cross-dataset adaptation for visual question answering," CVPR, 2018 [PDF, suppl.]





Hexiang Hu*, Wei-Lun Chao*, and Fei Sha, "Learning answer embeddings for visual question answering," CVPR, 2018 [PDF, suppl.]





Wei-Lun Chao*, Hexiang Hu*, and Fei Sha, "Being negative but constructively: lessons learnt from creating better visual question answering datasets," NAACL, 2018 [website, PDF, suppl.]









Wei-Lun Chao, "Transfer Learning for Intelligent Systems in the Wild," University of Southern California (USC), 2018 [PDF]


2017


Soravit Changpinyo, Wei-Lun Chao, and Fei Sha, "Predicting visual exemplars of unseen classes for zero-shot learning," ICCV, 2017 [PDF, code and data]



2016


Wei-Lun Chao*, Soravit Changpinyo*, Boqing Gong, and Fei Sha, "An empirical study and analysis of generalized zero-shot learning for object recognition in the wild," ECCV, 2016 (Spotlight) [PDF, arXiv, Springer, suppl., code and data, spotlight, poster]

(Please see our last-updated arXiv version.)



Soravit Changpinyo*, Wei-Lun Chao*, Boqing Gong, and Fei Sha, "Synthesized classifiers for zero-shot learning," CVPR, 2016 (Oral) [PDF, suppl., code and data, oral, poster]





Ke Zhang*, Wei-Lun Chao*, Fei Sha, and Kristen Grauman, "Video summarization with long short-term memory," ECCV, 2016 [PDF, suppl., poster, code and data]




Ke Zhang*, Wei-Lun Chao*, Fei Sha, and Kristen Grauman, "Summary transfer: exemplar-based subset selection for video summarization," CVPR, 2016 [PDF, suppl., poster]



2015


Wei-Lun Chao*, Boqing Gong*, Kristen Grauman, and Fei Sha, "Large-margin determinantal point processes," UAI, 2015 [PDF, suppl., code and data, spotlight, poster]




Wei-Lun Chao, Justin Solomon, Dominik Michels, and Fei Sha, "Exponential Integration for Hamiltonian Monte Carlo," ICML, 2015 [PDF, suppl., code and data, oral, poster]





Wei-Lun Chao, Jian-Jiun Ding, Jun-Zuo Liu, "Facial expression recognition based on improved local binary pattern and class-regularized locality preserving projection," Signal Processing, vol. 117, pp. 1-10, 2015 [Elsevier]





2014


Boqing Gong*, Wei-Lun Chao*, Kristen Grauman, and Fei Sha, "Diverse sequential subset selection for supervised video summarization," NIPS, 2014 [PDF, suppl., code and data, poster]



Before 2013


Wei-Lun Chao, Jun-Zuo Liu, Jian-Jiun Ding, and Po-Hung Wu, "Facial expression recognition using expression-specific local binary patterns and layer denoising mechanism," ICICS, 2013 [PDF]




Wei-Lun Chao, Jun-Zuo Liu, and Jian-Jiun Ding, "Facial age estimation based on label-sensitive learning and age-oriented regression," Pattern Recognition, vol. 46, no. 3, pp. 628-641, 2013 [Elsevier]




Wei-Lun Chao, Jun-Zuo Liu, and Jian-Jiun Ding, "Facial age estimation based on label-sensitive learning and age-specific local regression," ICASSP, 2012 [PDF]






Feng-Ju Chang, Soo-Chang Pei, and Wei-Lun Chao, "Color constancy by chromaticity neutralization," Journal of the Optical Society of America A, vol. 29, no. 10, pp. 2217-2225, 2012 [PDF]





Wei-Lun Chao, "Integrated Machine Learning Algorithms for Human Age Estimation," National Taiwan University (NTU), 2011 [PDF]



Jian-Jiun Ding, Yu-Hsiang Wang, Lee-Lin Hu, Wei-Lun Chao, and Yio-Wha Shau, "Muscle injury determination by image segmentation," VCIP, 2011 [PDF]




Wei-Lun Chao, Hsiao-Hang Su, Shao-Yi Chien, Winston Hsu, and Jian-Jiun Ding, "Coarse-to-fine temporal optimization for video retargeting based on seam carving," ICME, 2011 [PDF]




Jian-Jiun Ding, Wei-Lun Chao, Jiun-De Huang, and Cheng-Jin Kuo, "Asymmetric Fourier descriptor of non- closed segments," ICIP, 2010 [PDF]