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20172023
most citedRaw Waveform-based Speech Enhancement by Fully Convolutional Networks

35 citations · 119 across the 22 of their papers we have counts for

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Showing cs.ROShow all

6 papers · 1 filter

cs.RO2021★ 6 cited

CrossMap Transformer: A Crossmodal Masked Path Transformer Using Double Back-Translation for Vision-and-Language Navigation

Aly Magassouba, Komei Sugiura, Hisashi Kawai

Navigation guided by natural language instructions is particularly suitable for Domestic Service Robots that interacts naturally with users. This task involves the prediction of a…

cs.RO2021

Predicting and Attending to Damaging Collisions for Placing Everyday Objects in Photo-Realistic Simulations

Aly Magassouba, Komei Sugiura, Angelica Nakayama +4

Placing objects is a fundamental task for domestic service robots (DSRs). Thus, inferring the collision-risk before a placing motion is crucial for achieving the requested task. Th…

cs.RO2019

A Multimodal Target-Source Classifier with Attention Branches to Understand Ambiguous Instructions for Fetching Daily Objects

Aly Magassouba, Komei Sugiura, Hisashi Kawai

In this study, we focus on multimodal language understanding for fetching instructions in the domestic service robots context. This task consists of predicting a target object, as…

cs.RO2019★ 1 cited

Understanding Natural Language Instructions for Fetching Daily Objects Using GAN-Based Multimodal Target-Source Classification

Aly Magassouba, Komei Sugiura, Anh Trinh Quoc +1

In this paper, we address multimodal language understanding for unconstrained fetching instruction in domestic service robots context. A typical fetching instruction such as "Bring…

cs.RO2018★ 1 cited

A Multimodal Classifier Generative Adversarial Network for Carry and Place Tasks from Ambiguous Language Instructions

Aly Magassouba, Komei Sugiura, Hisashi Kawai

This paper focuses on a multimodal language understanding method for carry-and-place tasks with domestic service robots. We address the case of ambiguous instructions, that is, whe…

cs.RO2018

Grounded Language Understanding for Manipulation Instructions Using GAN-Based Classification

Komei Sugiura, Hisashi Kawai

The target task of this study is grounded language understanding for domestic service robots (DSRs). In particular, we focus on instruction understanding for short sentences where…