Joo Chan Lee

According to our database, Joo Chan Lee authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Continuous Memory Representation for Anomaly Detection.

Joo Chan Lee, Taejune Kim, Eunbyung Park, Simon S. Woo, Jong Hwan Ko

CoRR, 2024

2023

Scalable Color Quantization for Task-centric Image Compression.

Jae Hyun Park, Sanghoon Kim, Joo Chan Lee, Jong Hwan Ko

ACM Trans. Multim. Comput. Commun. Appl., 2023

Coordinate-Aware Modulation for Neural Fields.

Joo Chan Lee, Daniel Rho, Seungtae Nam, Jong Hwan Ko, Eunbyung Park

CoRR, 2023

Compact 3D Gaussian Representation for Radiance Field.

Joo Chan Lee, Daniel Rho, Xiangyu Sun, Jong Hwan Ko, Eunbyung Park

CoRR, 2023

FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos.

Joo Chan Lee, Daniel Rho, Jong Hwan Ko, Eunbyung Park

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Kernel Shape Control for Row-Efficient Convolution on Processing-In-Memory Arrays.

Johnny Rhe, Kang Eun Jeon, Joo Chan Lee, Seongmoon Jeong, Jong Hwan Ko

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Masked Wavelet Representation for Compact Neural Radiance Fields.

Daniel Rho, Byeonghyeon Lee, Seungtae Nam, Joo Chan Lee, Jong Hwan Ko, Eunbyung Park

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Reconfigurable Neural Architecture for Edge-Cloud Collaborative Real-Time Object Detection.

Joo Chan Lee, Yongwoo Kim, Sungtae Moon, Jong Hwan Ko

IEEE Internet Things J., 2022

2021

A Splittable DNN-Based Object Detector for Edge-Cloud Collaborative Real-Time Video Inference.

Joo Chan Lee, Yongwoo Kim, Sungtae Moon, Jong Hwan Ko

Proceedings of the 17th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2021

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

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020