Name: Yuki Kondo
Type: User
Company: Toyota Technological Institute / Toyota Motor Corporation
Bio: Researcher at Toyota Technological Institute. Interested in Computer Vision, Machine Learning, Super Resolution, Semantic Segmentation
Twitter: youkey_11
Location: Nagoya, Japan
Blog: https://yuki-11.github.io/
Yuki Kondo's Projects
🕶 A curated list of Tiny Object Detection papers and related resources.
Building now...
Official PyTorch implementation of the paper "Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images", IEEE Transactions on Instrumentation and Measurement (TIM) 2024. CSBSR is an advanced version of our previous work CSSR [MVA'21].
Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.
The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)
Convert JSON annotations into YOLO format.
A brief PyTorch implementation about KOALAnet (CVPR, 2021).
This is the repository with the baseline code for the "Small Object Detection Challenge for Spotting Birds" at MVA2023.
Pyramid Scene Parsing Network, CVPR2017.
A collection of loss functions for medical image segmentation
ShadowFormer (AAAI2023), Pytorch implementation