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ORCIDJoo Chan Lee
Person information
- affiliation: Sungkyunkwan University, Suwon, South Korea
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Journal Articles
- 2023
[j2]Jae Hyun Park
, Sanghoon Kim, Joo Chan Lee, Jong Hwan Ko:
Scalable Color Quantization for Task-centric Image Compression. ACM Trans. Multim. Comput. Commun. Appl. 19(2s): 82:1-82:18 (2023)- 2022
- [j1]Joo Chan Lee, Yongwoo Kim, Sungtae Moon, Jong Hwan Ko:
A Reconfigurable Neural Architecture for Edge-Cloud Collaborative Real-Time Object Detection. IEEE Internet Things J. 9(23): 23390-23404 (2022)
Conference and Workshop Papers
- 2024
- [c6]Joo Chan Lee, Daniel Rho, Seungtae Nam, Jong Hwan Ko, Eunbyung Park:
Coordinate-Aware Modulation for Neural Fields. ICLR 2024 - 2023
- [c5]Daniel Rho, Byeonghyeon Lee, Seungtae Nam, Joo Chan Lee, Jong Hwan Ko, Eunbyung Park:
Masked Wavelet Representation for Compact Neural Radiance Fields. CVPR 2023: 20680-20690 - [c4]Johnny Rhe, Kang Eun Jeon, Joo Chan Lee, Seongmoon Jeong, Jong Hwan Ko:
Kernel Shape Control for Row-Efficient Convolution on Processing-In-Memory Arrays. ICCAD 2023: 1-9 - [c3]Joo Chan Lee, Daniel Rho, Jong Hwan Ko, Eunbyung Park:
FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos. ACM Multimedia 2023: 7859-7870 - 2021
- [c2]Joo Chan Lee, Yongwoo Kim, Sungtae Moon, Jong Hwan Ko:
A Splittable DNN-Based Object Detector for Edge-Cloud Collaborative Real-Time Video Inference. AVSS 2021: 1-8 - 2020
- [c1]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:
VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. ECCV Workshops (4) 2020: 692-712
Informal and Other Publications
- 2024
- [i6]Joo Chan Lee, Taejune Kim, Eunbyung Park, Simon S. Woo, Jong Hwan Ko:
Continuous Memory Representation for Anomaly Detection. CoRR abs/2402.18293 (2024) - [i5]Xiangyu Sun, Joo Chan Lee, Daniel Rho, Jong Hwan Ko, Usman Ali, Eunbyung Park:
F-3DGS: Factorized Coordinates and Representations for 3D Gaussian Splatting. CoRR abs/2405.17083 (2024) - 2023
- [i4]Joo Chan Lee, Daniel Rho, Xiangyu Sun, Jong Hwan Ko, Eunbyung Park:
Compact 3D Gaussian Representation for Radiance Field. CoRR abs/2311.13681 (2023) - [i3]Joo Chan Lee, Daniel Rho, Seungtae Nam, Jong Hwan Ko, Eunbyung Park:
Coordinate-Aware Modulation for Neural Fields. CoRR abs/2311.14993 (2023) - 2022
- [i2]Daniel Rho, Byeonghyeon Lee, Seungtae Nam, Joo Chan Lee, Jong Hwan Ko, Eunbyung Park:
Masked Wavelet Representation for Compact Neural Radiance Fields. CoRR abs/2212.09069 (2022) - [i1]Joo Chan Lee, Daniel Rho, Jong Hwan Ko, Eunbyung Park:
FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos. CoRR abs/2212.12294 (2022)
Coauthor Index
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