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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

* ICLR 2022 

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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

* Accepted at CVPR 2021. Our code is available at https://github.com/howardyclo/clcc-cvpr21 

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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

* All images are compressed due to size limit, please access the full-resolution version via: http://bit.ly/COCO-GAN-full 

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Knowledge Distillation with Feature Maps for Image Classification



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

* Knowledge Distillation, Model Compression, and Generative Adversarial Network, ACCV 2018 

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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

* To appear in ECCV 2018 

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