Understanding deep learning


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, 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]















Autonomous driving


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]






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












Vision and language


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




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




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.]









Zero-shot learning for large-scale recognition in the wild


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












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




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]




Health care


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]



Video summarization


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]




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]



Probabilistic models and inference


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]




Facial age estimation and expression recognition


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]





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]





Image and video processing


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]





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]




PhD and MS thesis

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


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