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2020 – today
- 2024
[c9]Li-Yuan Tsao, Yi-Chen Lo, Chia-Che Chang, Hao-Wei Chen, Roy Tseng, Chien Feng, Chun-Yi Lee:
Boosting Flow-based Generative Super-Resolution Models via Learned Prior. CVPR 2024: 26005-26015- [i10]Li-Yuan Tsao, Yi-Chen Lo, Chia-Che Chang, Hao-Wei Chen, Roy Tseng, Chien Feng, Chun-Yi Lee:
Boosting Flow-based Generative Super-Resolution Models via Learned Prior. CoRR abs/2403.10988 (2024) - [i9]Mu-Yi Shen, Chia-Chi Hsu, Hao-Yu Hou, Yu-Chen Huang, Wei-Fang Sun, Chia-Che Chang, Yu-Lun Liu, Chun-Yi Lee:
DriveEnv-NeRF: Exploration of A NeRF-Based Autonomous Driving Environment for Real-World Performance Validation. CoRR abs/2403.15791 (2024) - 2023
- [c8]Jie-En Yao, Li-Yuan Tsao, Yi-Chen Lo, Roy Tseng, Chia-Che Chang, Chun-Yi Lee:
Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution. CVPR 2023: 1776-1785 - [i8]Jie-En Yao, Li-Yuan Tsao, Yi-Chen Lo, Roy Tseng, Chia-Che Chang, Chun-Yi Lee:
Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution. CoRR abs/2303.05156 (2023) - 2022
- [c7]Ting-Hsuan Liao, Huang-Ru Liao, Shan-Ya Yang, Jie-En Yao, Li-Yuan Tsao, Hsu-Shen Liu, Chen-Hao Chao, Bo-Wun Cheng, Chia-Che Chang, Yi-Chen Lo, Chun-Yi Lee:
ELDA: Using Edges to Have an Edge on Semantic Segmentation Based UDA. BMVC 2022: 108 - [c6]Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Yi-Chen Lo, Chia-Che Chang, Yu-Lun Liu, Yu-Lin Chang, Chia-Ping Chen, Chun-Yi Lee:
Denoising Likelihood Score Matching for Conditional Score-based Data Generation. ICLR 2022 - [i7]Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Yi-Chen Lo, Chia-Che Chang, Yu-Lun Liu, Yu-Lin Chang, Chia-Ping Chen, Chun-Yi Lee:
Denoising Likelihood Score Matching for Conditional Score-based Data Generation. CoRR abs/2203.14206 (2022) - [i6]Ting-Hsuan Liao, Huang-Ru Liao, Shan-Ya Yang, Jie-En Yao, Li-Yuan Tsao, Hsu-Shen Liu, Bo-Wun Cheng, Chen-Hao Chao, Chia-Che Chang, Yi-Chen Lo, Chun-Yi Lee:
ELDA: Using Edges to Have an Edge on Semantic Segmentation Based UDA. CoRR abs/2211.08888 (2022) - 2021
- [c5]Yi-Chen Lo, Chia-Che Chang, Hsuan-Chao Chiu, Yu-Hao Huang, Chia-Ping Chen, Yu-Lin Chang, Kevin Jou:
CLCC: Contrastive Learning for Color Constancy. CVPR 2021: 8053-8063 - [i5]Yi-Chen Lo, Chia-Che Chang, Hsuan-Chao Chiu, Yu-Hao Huang, Chia-Ping Chen, Yu-Lin Chang, Kevin Jou:
CLCC: Contrastive Learning for Color Constancy. CoRR abs/2106.04989 (2021)
2010 – 2019
- 2019
- [c4]Chien-Yu Lu, Min-Xin Xue, Chia-Che Chang, Che-Rung Lee, Li Su
:
Play as You Like: Timbre-Enhanced Multi-Modal Music Style Transfer. AAAI 2019: 1061-1068 - [c3]Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen:
COCO-GAN: Generation by Parts via Conditional Coordinating. ICCV 2019: 4511-4520 - [i4]Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen:
COCO-GAN: Generation by Parts via Conditional Coordinating. CoRR abs/1904.00284 (2019) - 2018
- [c2]Wei-Chun Chen, Chia-Che Chang, Che-Rung Lee:
Knowledge Distillation with Feature Maps for Image Classification. ACCV (3) 2018: 200-215 - [c1]Chia-Che Chang, Chieh Hubert Lin, Che-Rung Lee, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen:
Escaping from Collapsing Modes in a Constrained Space. ECCV (7) 2018: 212-227 - [i3]Chia-Che Chang, Chieh Hubert Lin, Che-Rung Lee, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen:
Escaping from Collapsing Modes in a Constrained Space. CoRR abs/1808.07258 (2018) - [i2]Chien-Yu Lu, Min-Xin Xue, Chia-Che Chang, Che-Rung Lee, Li Su:
Play as You Like: Timbre-enhanced Multi-modal Music Style Transfer. CoRR abs/1811.12214 (2018) - [i1]Wei-Chun Chen, Chia-Che Chang, Chien-Yu Lu, Che-Rung Lee:
Knowledge Distillation with Feature Maps for Image Classification. CoRR abs/1812.00660 (2018) - 2017
- [j1]Yu-Ling Hsueh, Chia-Chun Lin, Chia-Che Chang:
An Efficient Indexing Method for Skyline Computations with Partially Ordered Domains. IEEE Trans. Knowl. Data Eng. 29(5): 963-976 (2017)
Coauthor Index
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