Computer Vision
Understand visual input.
Perceiving and gaining semantic understanding of our world via visual sensors. Automating this type of understanding is crucial for applications such as personal robotics, autonomous driving and factory automation.
Publications
Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency
ICCV 2021
By : Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon
Hierarchical Lovász Embeddings for Proposal-free Panoptic Segmentation
CVPR 2021
By : Tommi Kerola, Jie Li, Atsushi Kanehira, Yasunori Kudo, Alexis Vallet, Adrien Gaidon
