Chia-Che Chang
Chia-Che Chang
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COCO-GAN: Generation by Parts via Conditional Coordinating
CH Lin, CC Chang, YS Chen, DC Juan, W Wei, HT Chen
International Conference of Computer Vision (ICCV), 2019
CLCC: Contrastive Learning for Color Constancy
YC Lo, CC Chang, HC Chiu, YH Huang, CP Chen, YL Chang, K Jou
CVPR 2021, 2021
Play as You Like: Timbre-enhanced Multi-modal Music Style Transfer
CY Lu, MX Xue, CC Chang, CR Lee, L Su
AAAI 2019, 2019
Denoising Likelihood Score Matching for Conditional Score-based Data Generation
CH Chao, WF Sun, BW Cheng, YC Lo, CC Chang, YL Liu, YL Chang, ...
International Conference on Learning Representations (ICLR), 2022, 2021
Knowledge Distillation with Feature Maps for Image Classification
WC Chen, CC Chang, CY Lu, CR Lee
ACCV 2018, 2018
Escaping from Collapsing Modes in a Constrained Space
CC Chang, CH Lin, CR Lee, DC Juan, W Wei, HT Chen
European Conference on Computer Vision (ECCV), 2018
Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution
JE Yao, LY Tsao, YC Lo, R Tseng, CC Chang, CY Lee
CVPR 2023, 2023
Methods and Apparatuses of Contrastive Learning for Color Constancy
YC Lo, CC Chang
US Patent App. 17/529,539, 2022
Method of local implicit normalizing flow for arbitrary-scale image super-resolution, and associated apparatus
JE Yao, YC Lo, LY Tsao, SY Tseng, CC Chang, C Lee
US Patent App. 18/518,614, 2024
Image analysis method and image analysis system
TH Liao, HR Liao, SY Yang, JE Yao, LY Tsao, HS Liu, BW Cheng, ...
US Patent App. 18/518,609, 2024
DriveEnv-NeRF: Exploration of A NeRF-Based Autonomous Driving Environment for Real-World Performance Validation
MY Shen, CC Hsu, HY Hou, YC Huang, WF Sun, CC Chang, YL Liu, ...
ICRA Workshop 2024, 2024
Boosting Flow-based Generative Super-Resolution Models via Learned Prior
LY Tsao, YC Lo, CC Chang, HW Chen, R Tseng, C Feng, CY Lee
CVPR 2024, 2024
ELDA: Using Edges to Have an Edge on Semantic Segmentation Based UDA
TH Liao, HR Liao, SY Yang, JE Yao, LY Tsao, HS Liu, BW Cheng, ...
BMVC 2022, 2022
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