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Wei-Lun (Harry) Chao 趙偉崙
Wei-Lun (Harry) Chao 趙偉崙
Assistant Professor, The Ohio State University
Zweryfikowany adres z osu.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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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
12802019
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
9472016
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
8952016
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
7042016
Diverse sequential subset selection for supervised video summarization
B Gong, WL Chao, K Grauman, F Sha
Advances in neural information processing systems 27, 2014
5552014
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
4902023
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
4832020
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
4162019
FedBE: Making bayesian model ensemble applicable to federated learning
HY Chen, WL Chao
International Conference on Learning Representations (ICLR), 2021
3392021
On Bridging Generic and Personalized Federated Learning for Image Classification
HY Chen, WL Chao
International Conference on Learning Representations, 2022
2792022
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
2702016
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
2462020
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
2222013
Predicting visual exemplars of unseen classes for zero-shot learning
S Changpinyo, WL Chao, F Sha
International Conference on Computer Vision, 2017
2182017
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
1982020
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
1452019
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
1402015
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
1122021
Identifying and compensating for feature deviation in imbalanced deep learning
HJ Ye, HY Chen, DC Zhan, WL Chao
arXiv preprint arXiv:2001.01385, 2020
1082020
On the Importance and Applicability of Pre-Training for Federated Learning
HY Chen, CH Tu, Z Li, HW Shen, WL Chao
International Conference on Learning Representations (ICLR), 2023
842023
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