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
Sampling Techniques for Large-Scale Object Detection from Sparsely Annotated Objects
CVPR 2019 (oral)
By : Yusuke Niitani, Takuya Akiba, Tommi Kerola, Toru Ogawa, Shotaro Sano, Shuji Suzuki
Minimizing Supervision for Free-space Segmentation
Workshop on Autonomous Driving in CVPR 2018
By : Satoshi Tsutsui, Tommi Kerola, Shunta Saito, David J. Crandall
Distantly Supervised Road Segmentation
Workshop on Computer Vision for Road Scene Understanding and Autonomous Driving in ICCV 2017
By : Satoshi Tsutsui, Tommi Kerola, Shunta Saito
