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Wei-Chih Hung
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2020 – today
- 2024
- [c31]Longlong Jing, Ruichi Yu, Xu Chen, Zhengli Zhao, Shiwei Sheng, Colin Graber, Qi Chen, Qinru Li, Shangxuan Wu, Han Deng, Sangjin Lee, Chris Sweeney, Qiurui He, Wei-Chih Hung, Tong He, Xingyi Zhou, Farshid Moussavi, James Guo, Yin Zhou, Mingxing Tan, Weilong Yang, Congcong Li:
STT: Stateful Tracking with Transformers for Autonomous Driving. ICRA 2024: 4442-4449 - [c30]Wei-Chih Hung, Vincent Casser, Henrik Kretzschmar, Jyh-Jing Hwang, Dragomir Anguelov:
LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection. ICRA 2024: 8272-8279 - [i24]Zihao Xiao, Longlong Jing, Shangxuan Wu, Alex Zihao Zhu, Jingwei Ji, Chiyu Max Jiang, Wei-Chih Hung, Thomas A. Funkhouser, Weicheng Kuo, Anelia Angelova, Yin Zhou, Shiwei Sheng:
3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation. CoRR abs/2401.02402 (2024) - [i23]Longlong Jing, Ruichi Yu, Xu Chen, Zhengli Zhao, Shiwei Sheng, Colin Graber, Qi Chen, Qinru Li, Shangxuan Wu, Han Deng, Sangjin Lee, Chris Sweeney, Qiurui He, Wei-Chih Hung, Tong He, Xingyi Zhou, Farshid Moussavi, Zijian Guo, Yin Zhou, Mingxing Tan, Weilong Yang, Congcong Li:
STT: Stateful Tracking with Transformers for Autonomous Driving. CoRR abs/2405.00236 (2024) - 2023
- [c29]Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani:
Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble. CVPR 2023: 4853-4862 - [c28]Chun-Han Yao, Amit Raj, Wei-Chih Hung, Michael Rubinstein, Yuanzhen Li, Ming-Hsuan Yang, Varun Jampani:
ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections. NeurIPS 2023 - [i22]Chun-Han Yao, Amit Raj, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani:
ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections. CoRR abs/2306.04619 (2023) - 2022
- [c27]Tsai-Shien Chen, Wei-Chih Hung, Hung-Yu Tseng, Shao-Yi Chien, Ming-Hsuan Yang:
Incremental False Negative Detection for Contrastive Learning. ICLR 2022 - [c26]Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani:
LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery. NeurIPS 2022 - [c25]Yufeng Wang, Yi-Hsuan Tsai, Wei-Chih Hung, Wenrui Ding, Shuo Liu, Ming-Hsuan Yang:
Semi-supervised Multi-task Learning for Semantics and Depth. WACV 2022: 2663-2672 - [i21]Wei-Chih Hung, Henrik Kretzschmar, Vincent Casser, Jyh-Jing Hwang, Dragomir Anguelov:
LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection. CoRR abs/2206.07705 (2022) - [i20]Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani:
LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery. CoRR abs/2207.03434 (2022) - [i19]Xianzhi Du, Wei-Chih Hung, Tsung-Yi Lin:
Optimizing Anchor-based Detectors for Autonomous Driving Scenes. CoRR abs/2208.06062 (2022) - [i18]Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani:
Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble. CoRR abs/2212.11042 (2022) - 2021
- [j4]Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Yu-Ting Chang, Yijun Li, Deng Cai, Ming-Hsuan Yang
:
Learning to Caricature via Semantic Shape Transform. Int. J. Comput. Vis. 129(9): 2663-2679 (2021) - [c24]Chun-Han Yao, Wei-Chih Hung, Varun Jampani, Ming-Hsuan Yang:
Discovering 3D Parts from Image Collections. ICCV 2021: 12961-12970 - [i17]Tsai-Shien Chen, Wei-Chih Hung, Hung-Yu Tseng, Shao-Yi Chien, Ming-Hsuan Yang:
Incremental False Negative Detection for Contrastive Learning. CoRR abs/2106.03719 (2021) - [i16]Xianzhi Du, Barret Zoph, Wei-Chih Hung, Tsung-Yi Lin:
Simple Training Strategies and Model Scaling for Object Detection. CoRR abs/2107.00057 (2021) - [i15]Chun-Han Yao, Wei-Chih Hung, Varun Jampani, Ming-Hsuan Yang:
Discovering 3D Parts from Image Collections. CoRR abs/2107.13629 (2021) - [i14]Yufeng Wang, Yi-Hsuan Tsai, Wei-Chih Hung, Wenrui Ding, Shuo Liu, Ming-Hsuan Yang:
Semi-supervised Multi-task Learning for Semantics and Depth. CoRR abs/2110.07197 (2021) - 2020
- [b1]Wei-Chih Hung:
Learning Structured Contexts for Semantic Segmentation. University of California, Merced, USA, 2020 - [c23]Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization. BMVC 2020 - [c22]Navaneet K. L., Ansu Mathew, Shashank Kashyap, Wei-Chih Hung, Varun Jampani, R. Venkatesh Babu
From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks. CVPR 2020: 1129-1137 - [c21]Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Weakly-Supervised Semantic Segmentation via Sub-Category Exploration. CVPR 2020: 8988-8997 - [c20]Han-Kai Hsu, Chun-Han Yao, Yi-Hsuan Tsai, Wei-Chih Hung, Hung-Yu Tseng, Maneesh Kumar Singh, Ming-Hsuan Yang:
Progressive Domain Adaptation for Object Detection. WACV 2020: 738-746 - [c19]Weixiang Hong, Yu-Ting Chang, Haifang Qin
Image Hashing via Linear Discriminant Learning. WACV 2020: 2520-2528 - [i13]Navaneet K. L., Ansu Mathew, Shashank Kashyap, Wei-Chih Hung, Varun Jampani, R. Venkatesh Babu:
From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks. CoRR abs/2005.01939 (2020) - [i12]Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Weakly-Supervised Semantic Segmentation via Sub-category Exploration. CoRR abs/2008.01183 (2020) - [i11]Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization. CoRR abs/2008.01201 (2020) - [i10]Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Yu-Ting Chang, Yijun Li, Deng Cai, Ming-Hsuan Yang:
Learning to Caricature via Semantic Shape Transform. CoRR abs/2008.05090 (2020) - [i9]Wei-Chih Hung, Henrik Kretzschmar, Tsung-Yi Lin, Yuning Chai, Ruichi Yu, Ming-Hsuan Yang, Dragomir Anguelov:
SoDA: Multi-Object Tracking with Soft Data Association. CoRR abs/2008.07725 (2020)
2010 – 2019
- 2019
- [c18]Haifang Qin, Weixiang Hong, Wei-Chih Hung, Yi-Hsuan Tsai, Ming-Hsuan Yang:
A Top-Down Unified Framework for Instance-level Human Parsing. BMVC 2019: 240 - [c17]Han-Kai Hsu, Wei-Chih Hung, Hung-Yu Tseng, Chun-Han Yao, Yi-Hsuan Tsai, Maneesh Singh, Ming-Hsuan Yang:
Progressive Domain Adaptation for Object Detection. CVPR Workshops 2019: 1-5 - [c16]Wei-Chih Hung, Varun Jampani, Sifei Liu
SCOPS: Self-Supervised Co-Part Segmentation. CVPR 2019: 869-878 - [c15]Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Deng Cai, Ming-Hsuan Yang
Weakly-Supervised Caricature Face Parsing Through Domain Adaptation. ICIP 2019: 3282-3286 - [i8]Wei-Chih Hung, Varun Jampani, Sifei Liu, Pavlo Molchanov, Ming-Hsuan Yang, Jan Kautz:
SCOPS: Self-Supervised Co-Part Segmentation. CoRR abs/1905.01298 (2019) - [i7]Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Deng Cai, Ming-Hsuan Yang:
Weakly-supervised Caricature Face Parsing through Domain Adaptation. CoRR abs/1905.05091 (2019) - [i6]Han-Kai Hsu, Chun-Han Yao, Yi-Hsuan Tsai, Wei-Chih Hung, Hung-Yu Tseng, Maneesh Singh, Ming-Hsuan Yang:
Progressive Domain Adaptation for Object Detection. CoRR abs/1910.11319 (2019) - 2018
- [c14]Wei-Chih Hung, Yi-Hsuan Tsai, Yan-Ting Liou, Yen-Yu Lin, Ming-Hsuan Yang:
Adversarial Learning for Semi-supervised Semantic Segmentation. BMVC 2018: 65 - [c13]Jingchun Cheng, Yi-Hsuan Tsai, Wei-Chih Hung, Shengjin Wang, Ming-Hsuan Yang:
Fast and Accurate Online Video Object Segmentation via Tracking Parts. CVPR 2018: 7415-7424 - [c12]Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, Manmohan Chandraker:
Learning to Adapt Structured Output Space for Semantic Segmentation. CVPR 2018: 7472-7481 - [c11]Wei-Chih Hung, Jianming Zhang, Xiaohui Shen, Zhe Lin, Joon-Young Lee, Ming-Hsuan Yang:
Learning to Blend Photos. ECCV (7) 2018: 72-88 - [i5]Wei-Chih Hung, Yi-Hsuan Tsai, Yan-Ting Liou, Yen-Yu Lin, Ming-Hsuan Yang:
Adversarial Learning for Semi-Supervised Semantic Segmentation. CoRR abs/1802.07934 (2018) - [i4]Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, Manmohan Chandraker:
Learning to Adapt Structured Output Space for Semantic Segmentation. CoRR abs/1802.10349 (2018) - [i3]Jingchun Cheng, Yi-Hsuan Tsai, Wei-Chih Hung, Shengjin Wang, Ming-Hsuan Yang:
Fast and Accurate Online Video Object Segmentation via Tracking Parts. CoRR abs/1806.02323 (2018) - 2017
- [c10]Wei-Chih Hung, Yi-Hsuan Tsai, Xiaohui Shen, Zhe L. Lin, Kalyan Sunkavalli, Xin Lu, Ming-Hsuan Yang:
Scene Parsing with Global Context Embedding. ICCV 2017: 2650-2658 - [i2]Jingchun Cheng, Sifei Liu, Yi-Hsuan Tsai, Wei-Chih Hung, Shalini De Mello, Jinwei Gu, Jan Kautz, Shengjin Wang, Ming-Hsuan Yang:
Learning to Segment Instances in Videos with Spatial Propagation Network. CoRR abs/1709.04609 (2017) - [i1]Wei-Chih Hung, Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Xin Lu, Ming-Hsuan Yang:
Scene Parsing with Global Context Embedding. CoRR abs/1710.06507 (2017) - 2016
- [j3]Yue-Jing He
Using Finite Element and Eigenmode Expansion Methods to Investigate the Periodic and Spectral Characteristic of Superstructure Fiber Bragg Gratings. Sensors 16(2): 192 (2016) - [c9]Dong Li, Wei-Chih Hung, Jia-Bin Huang, Shengjin Wang, Narendra Ahuja, Ming-Hsuan Yang:
Unsupervised Visual Representation Learning by Graph-Based Consistent Constraints. ECCV (4) 2016: 678-694 - 2014
- [j2]Yi-Leh Wu, Chun-Tsai Yeh, Wei-Chih Hung, Cheng-Yuan Tang:
Gaze direction estimation using support vector machine with active appearance model. Multim. Tools Appl. 70(3): 2037-2062 (2014) - [c8]Wei-Chih Hung, Fan Shen, Yi-Leh Wu, Maw-Kae Hor, Cheng-Yuan Tang:
Activity Recognition with sensors on mobile devices. ICMLC 2014: 449-454 - [c7]Wei-Chih Hung, Yuan-Cheng Liu, Yi-Leh Wu, Cheng-Yuan Tang, Maw-Kae Hor:
Adaptive Affinity Propagation Clustering in MapReduce Environment. TAAI 2014: 209-218 - 2013
- [j1]Yi-Leh Wu, Cheng-Yuan Tang, Yuan-Ming Yeh, Wei-Chih Hung:
Using Hilbert scan on statistical color space partitioning. Comput. Electr. Eng. 39(3): 957-969 (2013) - [c6]Jia-Min Gu, Yi-Leh Wu, Wei-Chih Hung, Cheng-Yuan Tang:
Personal photo organization using event annotation. ICICS 2013: 1-4 - [c5]Wei-Ting Lin, Wei-Chih Hung, Kuan-Yu Lin, Ping-Cheng Yeh:
Iterative decoding for uncompressed wireless video transmission. GLOBECOM 2013: 4050-4054 - 2012
- [c4]Tsu-Hao Kuo, Po-Hsuan Chen, Wei-Chih Hung, Chih-Yu Huang, Chia-han Lee, Ping-Cheng Yeh:
Dynamic source-channel rate-distortion control under time-varying complexity constraint for wireless video transmission. WCNC 2012: 2566-2570 - 2010
- [c3]Shang-Che Huang, Yi-Leh Wu, Wei-Chih Hung, Cheng-Yuan Tang:
Point-of-Regard Measurement via Iris Contour with One Eye from Single Image. ISM 2010: 336-341
2000 – 2009
- 2007
- [c2]Tian-Luu Wu, Shyi-Chyi Cheng, Shan-Cheng Pan, Wei-Chih Hung:
Query Modification from User Relevance Feedback by Multiple Alignment for Image Retrieval. IMECS 2007: 1812-1817 - [c1]Tian-Luu Wu, Shyi-Chyi Cheng, Shan-Cheng Pan, Wei-Chih Hung:
Efficient Shape Matching for Content-Based Image Retrieval Using Perceptual Grouping. IMECS 2007: 2003-2008
Coauthor Index
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