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Wei-Chih Hung
Wei-Chih Hung
Research Scientist, Waymo
Verified email at waymo.com - Homepage
Title
Cited by
Cited by
Year
Learning to adapt structured output space for semantic segmentation
YH Tsai, WC Hung, S Schulter, K Sohn, MH Yang, M Chandraker
CVPR 2018, 2018
18152018
Adversarial Learning for Semi-Supervised Semantic Segmentation
WC Hung, YH Tsai, YT Liou, YY Lin, MH Yang
BMVC 2018, 2018
7142018
Progressive domain adaptation for object detection
HK Hsu, CH Yao, YH Tsai, WC Hung, HY Tseng, M Singh, MH Yang
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020
4002020
Weakly-supervised semantic segmentation via sub-category exploration
YT Chang, Q Wang, WC Hung, R Piramuthu, YH Tsai, MH Yang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
3332020
Fast and accurate online video object segmentation via tracking parts
J Cheng, YH Tsai, WC Hung, S Wang, MH Yang
Proceedings of the IEEE conference on computer vision and pattern …, 2018
3252018
SCOPS: Self-supervised co-part segmentation
WC Hung, V Jampani, S Liu, P Molchanov, MH Yang, J Kautz
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
1622019
Unsupervised visual representation learning by graph-based consistent constraints
D Li, WC Hung, JB Huang, S Wang, N Ahuja, MH Yang
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
762016
Scene Parsing with Global Context Embedding
WC Hung, YH Tsai, X Shen, Z Lin, K Sunkavalli, X Lu, MH Yang
IEEE International Conference on Computer Vision, 2017, 2017
732017
Incremental false negative detection for contrastive learning
TS Chen, WC Hung, HY Tseng, SY Chien, MH Yang
arXiv preprint arXiv:2106.03719, 2021
672021
Lassie: Learning articulated shapes from sparse image ensemble via 3d part discovery
CH Yao, WC Hung, Y Li, M Rubinstein, MH Yang, V Jampani
Advances in Neural Information Processing Systems 35, 15296-15308, 2022
452022
Simple training strategies and model scaling for object detection
X Du, B Zoph, WC Hung, TY Lin
arXiv preprint arXiv:2107.00057, 2021
422021
Mixup-cam: Weakly-supervised semantic segmentation via uncertainty regularization
YT Chang, Q Wang, WC Hung, R Piramuthu, YH Tsai, MH Yang
arXiv preprint arXiv:2008.01201, 2020
422020
From image collections to point clouds with self-supervised shape and pose networks
KL Navaneet, A Mathew, S Kashyap, WC Hung, V Jampani, RV Babu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
342020
Hi-lassie: High-fidelity articulated shape and skeleton discovery from sparse image ensemble
CH Yao, WC Hung, Y Li, M Rubinstein, MH Yang, V Jampani
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
242023
Semi-supervised multi-task learning for semantics and depth
Y Wang, YH Tsai, WC Hung, W Ding, S Liu, MH Yang
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022
232022
Let-3d-ap: Longitudinal error tolerant 3d average precision for camera-only 3d detection
WC Hung, V Casser, H Kretzschmar, JJ Hwang, D Anguelov
2024 IEEE International Conference on Robotics and Automation (ICRA), 8272-8279, 2024
222024
Artic3d: Learning robust articulated 3d shapes from noisy web image collections
CH Yao, A Raj, WC Hung, M Rubinstein, Y Li, MH Yang, V Jampani
Advances in Neural Information Processing Systems 36, 2024
222024
Learning to segment instances in videos with spatial propagation network
J Cheng, S Liu, YH Tsai, WC Hung, S De Mello, J Gu, J Kautz, S Wang, ...
arXiv preprint arXiv:1709.04609, 2017
212017
Discovering 3d parts from image collections
CH Yao, WC Hung, V Jampani, MH Yang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
172021
Soda: Multi-object tracking with soft data association
WC Hung, H Kretzschmar, TY Lin, Y Chai, R Yu, MH Yang, D Anguelov
arXiv preprint arXiv:2008.07725, 2020
172020
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