Search Results for author: Atsushi Kanehira

Found 10 papers, 0 papers with code

Viewpoint-aware Video Summarization

no code implementations CVPR 2018 Atsushi Kanehira, Luc van Gool, Yoshitaka Ushiku, Tatsuya Harada

To satisfy these requirements (A)-(C) simultaneously, we proposed a novel video summarization method from multiple groups of videos.

Semantic Similarity Semantic Textual Similarity +1

Recognizing Activities of Daily Living with a Wrist-mounted Camera

no code implementations CVPR 2016 Katsunori Ohnishi, Atsushi Kanehira, Asako Kanezaki, Tatsuya Harada

We present a novel dataset and a novel algorithm for recognizing activities of daily living (ADL) from a first-person wearable camera.

object-detection Object Detection

MILJS : Brand New JavaScript Libraries for Matrix Calculation and Machine Learning

no code implementations21 Feb 2015 Ken Miura, Tetsuaki Mano, Atsushi Kanehira, Yuichiro Tsuchiya, Tatsuya Harada

Our core library offering a matrix calculation is called Sushi, which exhibits far better performance than any other leading machine learning libraries written in JavaScript.

BIG-bench Machine Learning

Learning to Explain with Complemental Examples

no code implementations CVPR 2019 Atsushi Kanehira, Tatsuya Harada

This paper addresses the generation of explanations with visual examples.

Hierarchical Lovász Embeddings for Proposal-free Panoptic Segmentation

no code implementations8 Jun 2021 Tommi Kerola, Jie Li, Atsushi Kanehira, Yasunori Kudo, Alexis Vallet, Adrien Gaidon

We use a hierarchical Lov\'asz hinge loss to learn a low-dimensional embedding space structured into a unified semantic and instance hierarchy without requiring separate network branches or object proposals.

Instance Segmentation Panoptic Segmentation +1

Hierarchical Lovasz Embeddings for Proposal-Free Panoptic Segmentation

no code implementations CVPR 2021 Tommi Kerola, Jie Li, Atsushi Kanehira, Yasunori Kudo, Alexis Vallet, Adrien Gaidon

We use a hierarchical Lovasz hinge loss to learn a low-dimensional embedding space structured into a unified semantic and instance hierarchy without requiring separate network branches or object proposals.

Instance Segmentation Panoptic Segmentation +1

Bias in Emotion Recognition with ChatGPT

no code implementations18 Oct 2023 Naoki Wake, Atsushi Kanehira, Kazuhiro Sasabuchi, Jun Takamatsu, Katsushi Ikeuchi

This technical report explores the ability of ChatGPT in recognizing emotions from text, which can be the basis of various applications like interactive chatbots, data annotation, and mental health analysis.

Emotion Recognition Sentiment Analysis

GPT-4V(ision) for Robotics: Multimodal Task Planning from Human Demonstration

no code implementations20 Nov 2023 Naoki Wake, Atsushi Kanehira, Kazuhiro Sasabuchi, Jun Takamatsu, Katsushi Ikeuchi

The computation starts by analyzing the videos with GPT-4V to convert environmental and action details into text, followed by a GPT-4-empowered task planner.

Language Modelling Object +1

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