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Joo Chan Lee (이주찬)

Joo Chan Lee (이주찬)

Combined MS-PhD student

Sungkyunkwan University (SKKU, 성균관대학교)

Artificial Intelligence

I am currently pursuing joint M.S./Ph.D. degree in the Department of Artificial Intelligence.

My research focuses on computer vision and efficient deep learning.

Education
  • B.S. in ICE, 2020

    Inha University

Latest

  • [C76] TruncQuant: Truncation-Ready Quantization for DNNs with Flexible Weight Bit Precision
  • [C67] F-3DGS: Factorized Coordinates and Representations for 3D Gaussian Splatting
  • [C65] Continuous Memory Representation for Anomaly Detection
  • [C60] Compact 3D Gaussian Representation for Radiance Field
  • [J28] KERNTROL: Kernel Shape Control Toward Ultimate Memory Utilization for In-Memory Convolutional Weight Mapping
  • [C54]Coordinate-Aware Modulation for Neural Fields
  • [C50] FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos
  • [C47] Kernel Shape Control for Row-Efficient Convolution on Processing-In-Memory Arrays
  • [C41] Masked Wavelet Representation for Compact Neural Radiance Fields
  • [J21] A Reconfigurable Neural Architecture for Edge–Cloud Collaborative Real-Time Object Detection
  • [J20] Scalable Color Quantization for Task-Centric Image Compression
  • [C30] A Splittable DNN-Based Object Detector for Edge-Cloud Collaborative Real-Time Video Inference
  • [J12] Robust Detection of Small and Dense Objects in Images from Autonomous Aerial Vehicles
  • [C25] VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results

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