Chia-Che Chang

According to our database, Chia-Che Chang authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DriveEnv-NeRF: Exploration of A NeRF-Based Autonomous Driving Environment for Real-World Performance Validation.

Mu-Yi Shen, Chia-Chi Hsu, Hao-Yu Hou, Yu-Chen Huang, Wei-Fang Sun, Chia-Che Chang, Yu-Lun Liu, Chun-Yi Lee

CoRR, 2024

Boosting Flow-based Generative Super-Resolution Models via Learned Prior.

Li-Yuan Tsao, Yi-Chen Lo, Chia-Che Chang, Hao-Wei Chen, Roy Tseng, Chien Feng, Chun-Yi Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution.

Jie-En Yao, Li-Yuan Tsao, Yi-Chen Lo, Roy Tseng, Chia-Che Chang, Chun-Yi Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Denoising Likelihood Score Matching for Conditional Score-based Data Generation.

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

ELDA: Using Edges to Have an Edge on Semantic Segmentation Based UDA.

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

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

CLCC: Contrastive Learning for Color Constancy.

Yi-Chen Lo, Chia-Che Chang, Hsuan-Chao Chiu, Yu-Hao Huang, Chia-Ping Chen, Yu-Lin Chang, Kevin Jou

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019

COCO-GAN: Generation by Parts via Conditional Coordinating.

Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Play as You Like: Timbre-Enhanced Multi-Modal Music Style Transfer.

Chien-Yu Lu, Min-Xin Xue, Chia-Che Chang, Che-Rung Lee, Li Su

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Knowledge Distillation with Feature Maps for Image Classification.

Wei-Chun Chen, Chia-Che Chang, Chien-Yu Lu, Che-Rung Lee

CoRR, 2018

Escaping from Collapsing Modes in a Constrained Space.

Chia-Che Chang, Chieh Hubert Lin, Che-Rung Lee, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen

Proceedings of the Computer Vision - ECCV 2018, 2018

Knowledge Distillation with Feature Maps for Image Classification.

Wei-Chun Chen, Chia-Che Chang, Che-Rung Lee

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

An Efficient Indexing Method for Skyline Computations with Partially Ordered Domains.

Yu-Ling Hsueh, Chia-Chun Lin, Chia-Che Chang

IEEE Trans. Knowl. Data Eng., 2017