VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. - Dawei Du; Longyin Wen; Pengfei Zhu 001; Heng Fan 001; Qinghua Hu; Haibin Ling; Mubarak Shah; Junwen Pan; Apostolos Axenopoulos; Arne Schumann; Athanasios Psaltis; Ayush Jain; et al. (ECCV Workshops (4), 2020)

A Splittable DNN-Based Object Detector for Edge-Cloud Collaborative Real-Time Video Inference. - Joo Chan Lee; Yongwoo Kim; Sungtae Moon; Jong Hwan Ko (AVSS, 2021)

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)

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

FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos. - Joo Chan Lee; Daniel Rho; Jong Hwan Ko; Eunbyung Park (ACM Multimedia, 2023)

Scalable Color Quantization for Task-centric Image Compression. - Jae Hyun Park 012; Sanghoon Kim; Joo Chan Lee; Jong Hwan Ko (ACM Trans. Multim. Comput. Commun. Appl., 2023)

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

Continuous Memory Representation for Anomaly Detection. - Joo Chan Lee; Taejune Kim; Eunbyung Park; Simon S. Woo; Jong Hwan Ko (ECCV (51), 2024)

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

F-3DGS: Factorized Coordinates and Representations for 3D Gaussian Splatting. - Xiangyu Sun; Joo Chan Lee; Daniel Rho; Jong Hwan Ko; Usman Ali 006; Eunbyung Park (ACM Multimedia, 2024)

Compact 3D Gaussian Splatting for Static and Dynamic Radiance Fields. - Joo Chan Lee; Daniel Rho; Xiangyu Sun; Jong Hwan Ko; Eunbyung Park (CoRR, 2024)

KERNTROL: Kernel Shape Control Toward Ultimate Memory Utilization for In-Memory Convolutional Weight Mapping. - Johnny Rhe; Kang Eun Jeon; Joo Chan Lee; Seongmoon Jeong; Jong Hwan Ko (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Optimized Minimal 3D Gaussian Splatting. - Joo Chan Lee; Jong Hwan Ko; Eunbyung Park (CoRR, 2025)

TruncQuant: Truncation-Ready Quantization for DNNs with Flexible Weight Bit Precision. - Jinhee Kim; Seoyeon Yoon; Taeho Lee; Joo Chan Lee; Kang Eun Jeon; Jong Hwan Ko (CoRR, 2025)

DiffO: Single-step Diffusion for Image Compression at Ultra-Low Bitrates. - Chanung Park; Joo Chan Lee; Jong Hwan Ko (CoRR, 2025)