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Books and Theses
- 2024
[b1]Yen-Cheng Liu:
Efficient Visual Learning for Scene Understanding. Georgia Institute of Technology, Atlanta, GA, USA, 2024
Journal Articles
- 2022
- [j4]Hsuan-Cheng Chang, Yen-Cheng Liu
, Yu T. Su:
Detection of Spatial-Modulated Signals in the Presence of CSI Uncertainty and Spatially- and Time-Selective Fading. IEEE Access 10: 107488-107504 (2022) - 2020
- [j3]Yu-Ying Yeh, Yen-Cheng Liu, Wei-Chen Chiu, Yu-Chiang Frank Wang:
Static2Dynamic: Video Inference From a Deep Glimpse. IEEE Trans. Emerg. Top. Comput. Intell. 4(4): 440-449 (2020) - 2013
- [j2]Yen-Cheng Liu, Hwann-Tzong Chen:
Unsupervised scene segmentation using sparse coding context. Mach. Vis. Appl. 24(2): 243-254 (2013) - [j1]Yen-Cheng Liu, Ching-Wei Chen, Yu T. Su:
New Constructions of Zero-Correlation Zone Sequences. IEEE Trans. Inf. Theory 59(8): 4994-5007 (2013)
Conference and Workshop Papers
- 2024
- [c26]Harsh Maheshwari, Yen-Cheng Liu, Zsolt Kira:
Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation. WACV 2024: 1009-1019 - 2023
- [c25]Junjiao Tian, Xiaoliang Dai, Chih-Yao Ma, Zecheng He, Yen-Cheng Liu, Zsolt Kira:
Trainable Projected Gradient Method for Robust Fine-Tuning. CVPR 2023: 7836-7845 - [c24]Junjiao Tian, Yen-Cheng Liu, James Seale Smith, Zsolt Kira:
Fast Trainable Projection for Robust Fine-tuning. NeurIPS 2023 - 2022
- [c23]Yu-Jhe Li, Xiaoliang Dai, Chih-Yao Ma, Yen-Cheng Liu, Kan Chen, Bichen Wu, Zijian He, Kris Kitani, Peter Vajda:
Cross-Domain Adaptive Teacher for Object Detection. CVPR 2022: 7571-7580 - [c22]Yen-Cheng Liu, Chih-Yao Ma, Zsolt Kira:
Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors. CVPR 2022: 9809-9818 - [c21]Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira:
Open-Set Semi-Supervised Object Detection. ECCV (30) 2022: 143-159 - [c20]Yen-Cheng Liu, Chih-Yao Ma, Junjiao Tian, Zijian He, Zsolt Kira:
Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks. NeurIPS 2022 - 2021
- [c19]Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda:
Unbiased Teacher for Semi-Supervised Object Detection. ICLR 2021 - [c18]Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira:
Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking. IROS 2021: 2406-2413 - 2020
- [c17]Yen-Cheng Liu, Junjiao Tian, Nathaniel Glaser, Zsolt Kira:
When2com: Multi-Agent Perception via Communication Graph Grouping. CVPR 2020: 4105-4114 - [c16]Junjiao Tian, Wesley Cheung, Nathaniel Glaser, Yen-Cheng Liu, Zsolt Kira:
UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation. ICRA 2020: 5716-5723 - [c15]Yen-Cheng Liu, Junjiao Tian, Chih-Yao Ma, Nathan Glaser, Chia-Wen Kuo, Zsolt Kira:
Who2com: Collaborative Perception via Learnable Handshake Communication. ICRA 2020: 6876-6883 - [c14]Junjiao Tian, Yen-Cheng Liu, Nathaniel Glaser, Yen-Chang Hsu, Zsolt Kira:
Posterior Re-calibration for Imbalanced Datasets. NeurIPS 2020 - 2019
- [c13]Po-Yi Chen, Alexander H. Liu, Yen-Cheng Liu, Yu-Chiang Frank Wang:
Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation. CVPR 2019: 2624-2632 - [c12]Wei-Yu Chen, Yen-Cheng Liu, Zsolt Kira, Yu-Chiang Frank Wang, Jia-Bin Huang:
A Closer Look at Few-shot Classification. ICLR (Poster) 2019 - [c11]Cheng-Yu Pai, Yong-Ting Ni, Yen-Cheng Liu, Meng-Hsien Kuo, Chao-Yu Chen:
Constructions of Two-Dimensional Binary Z-Complementary Array Pairs. ISIT 2019: 2264-2268 - 2018
- [c10]Yu-Jhe Li, Fu-En Yang, Yen-Cheng Liu, Yu-Ying Yeh, Xiaofei Du, Yu-Chiang Frank Wang:
Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification. CVPR Workshops 2018: 172-178 - [c9]Tzu-Sheng Kuo, Keng-Sen Tseng, Jia-Wei Yan, Yen-Cheng Liu, Yu-Chiang Frank Wang:
Deep Aggregation Net for Land Cover Classification. CVPR Workshops 2018: 252-256 - [c8]Yen-Cheng Liu, Yu-Ying Yeh, Tzu-Chien Fu, Sheng-De Wang, Wei-Chen Chiu, Yu-Chiang Frank Wang:
Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation. CVPR 2018: 8867-8876 - [c7]Alexander H. Liu, Yen-Cheng Liu, Yu-Ying Yeh, Yu-Chiang Frank Wang:
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation. NeurIPS 2018: 2595-2604 - 2017
- [c6]Yen-Cheng Liu, Wei-Chen Chiu, Sheng-De Wang, Yu-Chiang Frank Wang:
Domain-Adaptive generative adversarial networks for sketch-to-photo inversion. MLSP 2017: 1-6 - 2013
- [c5]Hsuan-Cheng Chang, Yen-Cheng Liu, Yu T. Su:
Detection of spatial-modulated signals in the presence of CSI error and time-spatial correlation. GLOBECOM Workshops 2013: 82-86 - [c4]Ko-Feng Chen, Yen-Cheng Liu, Yu T. Su:
On composite channel estimation in wireless massive MIMO systems. GLOBECOM Workshops 2013: 135-139 - 2009
- [c3]Yeim-Kuan Chang, Yen-Cheng Liu, Fang-Chen Kuo:
A Pipelined IP Forwarding Engine with Fast Update. AINA 2009: 263-269 - [c2]Yen-Cheng Liu, Kuhn-Chang Lin, Yu T. Su:
Initial Synchronization for Multi-Cell OFDMA Systems. ICC 2009: 1-5 - [c1]Ching-Wei Chen, Yen-Cheng Liu, Yu Ted Su:
Systematic constructions of zero-correlation zone sequences. ISIT 2009: 119-123
Informal and Other Publications
- 2023
- [i23]Junjiao Tian, Xiaoliang Dai, Chih-Yao Ma, Zecheng He, Yen-Cheng Liu, Zsolt Kira:
Trainable Projected Gradient Method for Robust Fine-tuning. CoRR abs/2303.10720 (2023) - [i22]Harsh Maheshwari, Yen-Cheng Liu, Zsolt Kira:
Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation. CoRR abs/2304.10756 (2023) - [i21]Junjiao Tian, Yen-Cheng Liu, James Seale Smith, Zsolt Kira:
Fast Trainable Projection for Robust Fine-Tuning. CoRR abs/2310.19182 (2023) - 2022
- [i20]Yen-Cheng Liu, Chih-Yao Ma, Zsolt Kira:
Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors. CoRR abs/2206.09500 (2022) - [i19]Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira:
Open-Set Semi-Supervised Object Detection. CoRR abs/2208.13722 (2022) - [i18]Yen-Cheng Liu, Chih-Yao Ma, Junjiao Tian, Zijian He, Zsolt Kira:
Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks. CoRR abs/2210.03265 (2022) - 2021
- [i17]Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda:
Unbiased Teacher for Semi-Supervised Object Detection. CoRR abs/2102.09480 (2021) - [i16]Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira:
Enhancing Multi-Robot Perception via Learned Data Association. CoRR abs/2107.00769 (2021) - [i15]Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira:
Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking. CoRR abs/2107.00771 (2021) - [i14]Yu-Jhe Li, Xiaoliang Dai, Chih-Yao Ma, Yen-Cheng Liu, Kan Chen, Bichen Wu, Zijian He, Kris Kitani, Peter Vajda:
Cross-Domain Object Detection via Adaptive Self-Training. CoRR abs/2111.13216 (2021) - 2020
- [i13]Yen-Cheng Liu, Junjiao Tian, Chih-Yao Ma, Nathan Glaser, Chia-Wen Kuo, Zsolt Kira:
Who2com: Collaborative Perception via Learnable Handshake Communication. CoRR abs/2003.09575 (2020) - [i12]Yen-Cheng Liu, Junjiao Tian, Nathaniel Glaser, Zsolt Kira:
When2com: Multi-Agent Perception via Communication Graph Grouping. CoRR abs/2006.00176 (2020) - [i11]Junjiao Tian, Yen-Cheng Liu, Nathan Glaser, Yen-Chang Hsu, Zsolt Kira:
Posterior Re-calibration for Imbalanced Datasets. CoRR abs/2010.11820 (2020) - 2019
- [i10]Wei-Yu Chen, Yen-Cheng Liu, Zsolt Kira, Yu-Chiang Frank Wang, Jia-Bin Huang:
A Closer Look at Few-shot Classification. CoRR abs/1904.04232 (2019) - [i9]Junjiao Tian, Wesley Cheung, Nathan Glaser, Yen-Cheng Liu, Zsolt Kira:
UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation. CoRR abs/1911.05611 (2019) - 2018
- [i8]Yu-Jhe Li, Fu-En Yang, Yen-Cheng Liu, Yu-Ying Yeh, Xiaofei Du, Yu-Chiang Frank Wang:
Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification. CoRR abs/1804.09347 (2018) - [i7]Alexander H. Liu, Yen-Cheng Liu, Yu-Ying Yeh, Yu-Chiang Frank Wang:
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation. CoRR abs/1809.01361 (2018) - [i6]Yen-Chang Hsu, Yen-Cheng Liu, Zsolt Kira:
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines. CoRR abs/1810.12488 (2018) - 2017
- [i5]Tzu-Chien Fu, Yen-Cheng Liu, Wei-Chen Chiu, Sheng-De Wang, Yu-Chiang Frank Wang:
Learning Cross-Domain Disentangled Deep Representation with Supervision from A Single Domain. CoRR abs/1705.01314 (2017) - 2016
- [i4]Hsuan-Cheng Chang, Yen-Cheng Liu, Yu T. Su:
Detection of Spatial Modulation Signals in Doubly Selective Fading Channels with CSI Uncertainty. CoRR abs/1605.06677 (2016) - [i3]Ko-Feng Chen, Yen-Cheng Liu, Yu T. Su:
Reduced-Rank Channel Estimation for Large-Scale MIMO Systems. CoRR abs/1609.02398 (2016) - 2013
- [i2]Ko-Feng Chen, Yen-Cheng Liu, Yu T. Su:
Composite Channel Estimation in Massive MIMO Systems. CoRR abs/1312.1004 (2013) - 2012
- [i1]Yen-Cheng Liu, Ching-Wei Chen, Yu T. Su:
New Constructions of Zero-Correlation Zone Sequences. CoRR abs/1208.5374 (2012)
Coauthor Index
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