Ko, Jong Hwan

21 publications

ICML 2025 Do Not Mimic My Voice : Speaker Identity Unlearning for Zero-Shot Text-to-Speech Taesoo Kim, Jinju Kim, Dong Chan Kim, Jong Hwan Ko, Gyeong-Moon Park

NeurIPS 2025 Efficient Multi-Bit Quantization Network Training via Weight Bias Correction and Bit-Wise Coreset Sampling Jinhee Kim, Jae Jun An, Kang Eun Jeon, Jong Hwan Ko

ICCV 2025 MSQ: Memory-Efficient Bit Sparsification Quantization Seokho Han, Seoyeon Yoon, Jinhee Kim, Dongwei Wang, Kang Eun Jeon, Huanrui Yang, Jong Hwan Ko

NeurIPS 2025 Optimized Minimal 3D Gaussian Splatting Joo Chan Lee, Jong Hwan Ko, Eunbyung Park

NeurIPS 2025 Perturb a Model, Not an Image: Towards Robust Privacy Protection via Anti-Personalized Diffusion Models Tae-Young Lee, Juwon Seo, Jong Hwan Ko, Gyeong-Moon Park

CVPR 2025 Test-Time Fine-Tuning of Image Compression Models for Multi-Task Adaptability Unki Park, Seongmoon Jeong, Youngchan Jang, Gyeong-Moon Park, Jong Hwan Ko

CVPR 2024 Compact 3D Gaussian Representation for Radiance Field Joo Chan Lee, Daniel Rho, Xiangyu Sun, Jong Hwan Ko, Eunbyung Park

ECCV 2024 Continuous Memory Representation for Anomaly Detection Joo Chan Lee, Taejune Kim, Eunbyung Park, Simon S Woo, Jong Hwan Ko

ICLR 2024 Coordinate-Aware Modulation for Neural Fields Joo Chan Lee, Daniel Rho, Seungtae Nam, Jong Hwan Ko, Eunbyung Park

ECCV 2024 HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation Wencan Cheng, Eunji Kim, Jong Hwan Ko

CVPR 2024 HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud Wencan Cheng, Hao Tang, Luc Van Gool, Jong Hwan Ko

CVPRW 2023 Dynamic Inference Acceleration of 3D Point Cloud Deep Neural Networks Using Point Density and Entropy Gyudo Park, Soohyeok Kang, Wencan Cheng, Jong Hwan Ko

ICCV 2023 HandR2N2: Iterative 3D Hand Pose Estimation Using a Residual Recurrent Neural Network Wencan Cheng, Jong Hwan Ko

CVPR 2023 Masked Wavelet Representation for Compact Neural Radiance Fields Daniel Rho, Byeonghyeon Lee, Seungtae Nam, Joo Chan Lee, Jong Hwan Ko, Eunbyung Park

NeurIPS 2023 Mip-Grid: Anti-Aliased Grid Representations for Neural Radiance Fields Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park

ICCV 2023 Multi-Scale Bidirectional Recurrent Network with Hybrid Correlation for Point Cloud Based Scene Flow Estimation Wencan Cheng, Jong Hwan Ko

ECCV 2022 Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation Wencan Cheng, Jong Hwan Ko

ECCV 2022 Streamable Neural Fields Junwoo Cho, Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park

ICCV 2021 HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton Wencan Cheng, Jae Hyun Park, Jong Hwan Ko

ECCVW 2020 VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Apostolos Axenopoulos, Arne Schumann, Athanasios Psaltis, Ayush Jain, Bin Dong, Changlin Li, Chen Chen, Chengzhen Duan, Chongyang Zhang, Daniel Stadler, Dheeraj Reddy Pailla, Dong Yin, Faizan Khan, Fanman Meng, Guangyu Gao, Guosheng Zhang, Hansheng Chen, Hao Zhou, Haonian Xie, Heqian Qiu, Hongliang Li, Ioannis Athanasiadis, Jincai Cui, Jingkai Zhou, Jong Hwan Ko, Joo Chan Lee, Jun Yu, Jungyeop Yoo, Lars Wilko Sommer, Lu Xiong, Michael Schleiss, Ming-Hsuan Yang, Mingyu Liu, Minjian Zhang, Murari Mandal, Petros Daras, Pratik Narang, Qiong Liu, Qiu Shi, Qizhang Lin, Rohit Ramaprasad, Sai Wang, Sarvesh Mehta, Shuai Li, Shuqin Huang, Sungtae Moon, Taijin Zhao, Ting Sun, Wei Guo, Wei Tian, Weida Qin, Weiping Yu, Wenxiang Lin, Xi Zhao, Xiaogang Jia, Xin He, Xingjie Zhao, Xuanxin Liu, Yan Ding, Yan Luo, Yang Xiao, Yi Wang, Yingjie Liu, Yongwoo Kim, Yu Sun, Yuehan Yao, Yuyao Huang, Zehui Gong, Zhenyu Xu, Zhipeng Luo, Zhiguo Cao, Zhiwei Wei, Zhongjie Fan, Zichen Song, Ziming Liu

ICLR 2018 Cascade Adversarial Machine Learning Regularized with a Unified Embedding Taesik Na, Jong Hwan Ko, Saibal Mukhopadhyay