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Wei-Lun (Harry) Chao 趙偉崙
Wei-Lun (Harry) Chao 趙偉崙
Assistant Professor, The Ohio State University
Verified email at osu.edu - Homepage
Title
Cited by
Cited by
Year
Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
Y Wang, WL Chao, D Garg, B Hariharan, M Campbell, K Weinberger
CVPR 2019, 2019
11942019
Synthesized classifiers for zero-shot learning
S Changpinyo, WL Chao, B Gong, F Sha
Proceedings of the IEEE conference on computer vision and pattern …, 2016
9282016
Video summarization with long short-term memory
K Zhang, WL Chao, F Sha, K Grauman
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
8562016
An empirical study and analysis of generalized zero-shot learning for object recognition in the wild
WL Chao, S Changpinyo, B Gong, F Sha
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
6692016
Diverse sequential subset selection for supervised video summarization
B Gong, WL Chao, K Grauman, F Sha
Advances in neural information processing systems 27, 2014
5372014
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
Y You, Y Wang, WL Chao, D Garg, G Pleiss, B Hariharan, M Campbell, ...
International Conference on Learning Representations (ICLR), 2020
4482020
Simpleshot: Revisiting nearest-neighbor classification for few-shot learning
Y Wang, WL Chao, KQ Weinberger, L Van Der Maaten
arXiv preprint arXiv:1911.04623, 2019
3852019
Llm-planner: Few-shot grounded planning for embodied agents with large language models
CH Song, J Wu, C Washington, BM Sadler, WL Chao, Y Su
ICCV 2023, 2023
3382023
FedBE: Making bayesian model ensemble applicable to federated learning
HY Chen, WL Chao
International Conference on Learning Representations (ICLR), 2021
2942021
Summary transfer: Exemplar-based subset selection for video summarization
K Zhang, WL Chao, F Sha, K Grauman
Proceedings of the IEEE conference on computer vision and pattern …, 2016
2672016
On Bridging Generic and Personalized Federated Learning for Image Classification
HY Chen, WL Chao
International Conference on Learning Representations, 2022
2272022
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
R Qian, D Garg, Y Wang, Y You, S Belongie, B Hariharan, M Campbell, ...
CVPR 2020, 2020
2262020
Facial age estimation based on label-sensitive learning and age-oriented regression
WL Chao, JZ Liu, JJ Ding
Pattern Recognition 46 (3), 628-641, 2013
2172013
Predicting visual exemplars of unseen classes for zero-shot learning
S Changpinyo, WL Chao, F Sha
International Conference on Computer Vision, 2017
2102017
Train in germany, test in the usa: Making 3d object detectors generalize
Y Wang, X Chen, Y You, LE Li, B Hariharan, M Campbell, KQ Weinberger, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1802020
Facial expression recognition based on improved local binary pattern and class-regularized locality preserving projection
WL Chao, JJ Ding, JZ Liu
Signal Processing 117, 1-10, 2015
1382015
A New Defense Against Adversarial Images: Turning a Weakness into a Strength
S Hu, T Yu, C Guo, WL Chao, KQ Weinberger
Conference on Neural Information Processing Systems (NeurIPS), 2019
1352019
Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation
L Yang, Y Wang, M Gao, A Shrivastava, KQ Weinberger, WL Chao, ...
ICCV 2021, 2021
982021
Identifying and compensating for feature deviation in imbalanced deep learning
HJ Ye, HY Chen, DC Zhan, WL Chao
arXiv preprint arXiv:2001.01385, 2020
962020
Wasserstein Distances for Stereo Disparity Estimation
D Garg, Y Wang, B Hariharan, M Campbell, KQ Weinberger, WL Chao
Conference on Neural Information Processing Systems (NeurIPS), 2020
702020
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