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S. Satoh

27 papers hereh-index 389.2k citations411 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5
  • last author17

Across the 22 of 27 papers where every author was matched, so the position is known.

fields
  • cs.CV19
  • cs.IR3
  • cs.MM2
  • cs.LG1
  • cs.SD1
  • eess.IV1
same name
  • S. Satoh — 8 papers, h 16
  • S. Satoh — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162022
most citedImproving Camouflaged Object Detection with the Uncertainty of Pseudo-edge Labels

23 citations · 69 across the 10 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.CV2017★ 18 cited

Consensus-based Sequence Training for Video Captioning

Sang Phan, Gustav Eje Henter, Yusuke Miyao +1

Captioning models are typically trained using the cross-entropy loss. However, their performance is evaluated on other metrics designed to better correlate with human assessments.…

cs.CV2017

Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge

Ryota Hinami, Tao Mei, Shin'ichi Satoh

This paper addresses the problem of joint detection and recounting of abnormal events in videos. Recounting of abnormal events, i.e., explaining why they are judged to be abnormal,…

cs.MM2017

Region-Based Image Retrieval Revisited

Ryota Hinami, Yusuke Matsui, Shin'ichi Satoh

Region-based image retrieval (RBIR) technique is revisited. In early attempts at RBIR in the late 90s, researchers found many ways to specify region-based queries and spatial relat…

cs.CV2017

Active Learning for Structured Prediction from Partially Labeled Data

Mehran Khodabandeh, Zhiwei Deng, Mostafa S. Ibrahim +2

We propose a general purpose active learning algorithm for structured prediction, gathering labeled data for training a model that outputs a set of related labels for an image or v…

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