| 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 | 164 | 2019 |
| CLCC: Contrastive Learning for Color Constancy YC Lo, CC Chang, HC Chiu, YH Huang, CP Chen, YL Chang, K Jou CVPR 2021, 2021 | 43 | 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 | 29 | 2019 |
| Knowledge Distillation with Feature Maps for Image Classification WC Chen, CC Chang, CY Lu, CR Lee ACCV 2018, 2018 | 28 | 2018 |
| 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 | 26 | 2021 |
| 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 | 17 | 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 | 8 | 2023 |
| Methods and Apparatuses of Contrastive Learning for Color Constancy YC Lo, CC Chang US Patent App. 17/529,539, 2022 | 1 | 2022 |
| 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, ... arXiv preprint arXiv:2403.15791, 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 | | 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 | | 2022 |
Chieh Hubert LinUniversity of California, MercedVerified email at ucmerced.edu
