1 citations · 1 across the 1 of their papers we have counts for
5 papers
Hierarchical Lovász Embeddings for Proposal-free Panoptic Segmentation
Tommi Kerola, Jie Li, Atsushi Kanehira +3
Panoptic segmentation brings together two separate tasks: instance and semantic segmentation. Although they are related, unifying them faces an apparent paradox: how to learn simul…
Learning to Explain with Complemental Examples
Atsushi Kanehira, Tatsuya Harada
This paper addresses the generation of explanations with visual examples. Given an input sample, we build a system that not only classifies it to a specific category, but also outp…
Multimodal Explanations by Predicting Counterfactuality in Videos
Atsushi Kanehira, Kentaro Takemoto, Sho Inayoshi +1
This study addresses generating counterfactual explanations with multimodal information. Our goal is not only to classify a video into a specific category, but also to provide expl…
Viewpoint-aware Video Summarization
Atsushi Kanehira, Luc Van Gool, Yoshitaka Ushiku +1
This paper introduces a novel variant of video summarization, namely building a summary that depends on the particular aspect of a video the viewer focuses on. We refer to this as…
MILJS : Brand New JavaScript Libraries for Matrix Calculation and Machine Learning
Ken Miura, Tetsuaki Mano, Atsushi Kanehira +2
MILJS is a collection of state-of-the-art, platform-independent, scalable, fast JavaScript libraries for matrix calculation and machine learning. Our core library offering a matrix…