Sungyong Baik
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
11
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WWW | BiasEdit: A Training-Free Bias-Detect-and-Edit Framework for Learning Fair Visual Classifiers. | Jungwook Seo, Yoonsik Park, Changmin Lee, Sungyong Baik |
| 2025 | AAAI | SeeDiff: Off-the-Shelf Seeded Mask Generation from Diffusion Models. | Joon Hyun Park, Kumju Jo, Sungyong Baik |
| 2025 | ICLR | Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning. | Yeoreum Lee, Jinwook Jung, Sungyong Baik |
| 2025 | ICLR | Find A Winning Sign: Sign Is All We Need to Win the Lottery. | Junghun Oh, Sungyong Baik, Kyoung Mu Lee |
| 2025 | WACV | Difficulty, Diversity, and Plausibility: Dynamic Data-Free Quantization. | Cheeun Hong, Sungyong Baik, Junghun Oh, Kyoung Mu Lee |
| 2024 | CVPR | LAN: Learning to Adapt Noise for Image Denoising. | Changjin Kim, Tae Hyun Kim, Sungyong Baik |
| 2024 | ECCV | CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning. | Junghun Oh, Sungyong Baik, Kyoung Mu Lee |
| 2024 | ICLR | sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows. | Dongjin Kim, Donggoo Jung, Sungyong Baik, Tae Hyun Kim |
| 2023 | CIKM | Deep Variational Bayesian Modeling of Haze Degradation Process. | Eun Woo Im, Junsung Shin, Sungyong Baik, Tae Hyun Kim |
| 2023 | ICCV | Semantic-Aware Dynamic Parameter for Video Inpainting Transformer. | Eunhye Lee, Jinsu Yoo, Yunjeong Yang, Sungyong Baik, Tae Hyun Kim |
| 2023 | ICML | Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows. | Seobin Park, Dongjin Kim, Sungyong Baik, Tae Hyun Kim |
| 2022 | ECCV | CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution. | Cheeun Hong, Sungyong Baik, Heewon Kim, Seungjun Nah, Kyoung Mu Lee |
| 2022 | WACV | DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks. | Cheeun Hong, Heewon Kim, Sungyong Baik, Junghun Oh, Kyoung Mu Lee |
| 2022 | WACV | Batch Normalization Tells You Which Filter is Important. | Junghun Oh, Heewon Kim, Sungyong Baik, Cheeun Hong, Kyoung Mu Lee |
| 2021 | ICCV | Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning. | Sungyong Baik, Janghoon Choi, Heewon Kim, Dohee Cho, Jaesik Min, Kyoung Mu Lee |
| 2021 | ICCV | Searching for Controllable Image Restoration Networks. | Heewon Kim, Sungyong Baik, Myungsub Choi, Janghoon Choi, Kyoung Mu Lee |
| 2020 | BMVC | Domain Adaptation of Learned Featuresfor Visual Localization. | Sungyong Baik, Hyo Jin Kim, Tianwei Shen, Eddy Ilg, Kyoung Mu Lee, Christopher Sweeney |
| 2020 | CVPR | Learning to Forget for Meta-Learning. | Sungyong Baik, Seokil Hong, Kyoung Mu Lee |
| 2020 | CVPR | Scene-Adaptive Video Frame Interpolation via Meta-Learning. | Myungsub Choi, Janghoon Choi, Sungyong Baik, Tae Hyun Kim, Kyoung Mu Lee |
| 2019 | CVPR | NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study. | Seungjun Nah, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Radu Timofte, Kyoung Mu Lee |
| 2019 | CVPR | NTIRE 2019 Challenge on Video Deblurring: Methods and Results. | Seungjun Nah, Radu Timofte, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Hyeonjun Sim, Munchurl Kim, Dongwon Park, Jisoo Kim, Se Young Chun, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Rahul Kumar Gupta, Vishal M. Chudasama, Heena Patel, Kishor P. Upla, Hongfei Fan, Guo Li, Yumei Zhang, Xiang Li, Wenjie Zhang, Qingwen He, Kuldeep Purohit, A. N. Rajagopalan, Jeonghun Kim, Mohammad Tofighi, Tiantong Guo, Vishal Monga |
| 2019 | CVPR | NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results. | Seungjun Nah, Radu Timofte, Shuhang Gu, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Xiao Liu, Chao Li, Dongliang He, Yukang Ding, Shilei Wen, Fatih Porikli, Ratheesh Kalarot, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Hang Dong, Xinyi Zhang, Zhe Hu, Kwan-Young Kim, Dong Un Kang, Se Young Chun, Kuldeep Purohit, A. N. Rajagopalan, Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu, Ahmet Murat Tekalp, Mustafa Akin Yilmaz, Cansu Korkmaz, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Rudrabha Mukhopadhyay, Ankit Shukla, Dheeraj Khanna, A. S. Mandal, Santanu Chaudhury, Si Miao, Yongxin Zhu, Xiao Huo |
| 2019 | ICIP | Learning to Remember Past to Predict Future for Visual Tracking. | Sungyong Baik, Junseok Kwon, Kyoung Mu Lee |