Faculty Profiles - Deguchi Daisuke

Presentations -

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Summarization of news videos considering the consistency of auditory and visual contents International conference

Ichiro Ide, Ye Zhang, Ryunosuke Tanishige, Keisuke Doman, Yasutomo Kawanishi, Daisuke Deguchi, Hiroshi Murase

19th IEEE Int. Symposium on Multimedia (ISM2017) 2017.12.12

A Collaborative Report on The Open Apereo 2017 Conference

Yuji Tokiwa, Soichiro Fujii, Daisuke Deguchi, Shoji Kajita

IPSJ SIG Technical Report (CLE) 2017.12.9

A Study on Recognition of Pedestrian's Attribute using Pose Information

Fumito Shinmura, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Hironobu Fujiyoshi

Vision Engineering Workshop (ViEW) 2017.12.8

車載カメラを用いた環境理解

出口大輔

経済情報学会主催セミナー 2017.12.6

Event date： 2017

Language：Japanese Presentation type：Oral presentation (general)

Venue：岐阜聖徳学園大学

近年，自動運転に関するニュースを報道で目にする機会が増え，その実現に対する期待も日に日に高まってきている．自動運転の実現には，車が今どこを走行しているかを正確に把握する技術が非常に重要となる．しかしながら，現在広く用いられているGPSのみでは，都市部等で十分な精度での位置計測ができないという問題がある．この問題の解決手段の一つとして，車載カメラを用いた自車位置推定技術が注目を集めている．そこで本講演では，カメラを用いた自車位置推定に焦点を当てるとともに，その関連技術についても紹介する．

Toward Describing Human Gaits by Onomatopoeias International conference

Hirotaka Kato, Takatsugu Hirayama, Yasutomo Kawanishi, Keisuke Doman, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

2017 IEEE International Conference on Computer Vision (ICCV2017) Workshops 2017.10.28

Estimating the attractiveness of a food photo using a Convolutional Neural Network

Akinori Sato, Keisuke Doman, Takatsugu Hirayama, Ichiro Ide, Yasutomo Kawanishi, Daisuke Deguchi, Hiroshi Murase

IEICE Technical Report (MVE) 2017.10.20

Driver's Decision Analysis in Terms of Pedestrian Attributes -A Case Study in Passing by a Pedestrian- International conference

Fumito Shinmura, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Hironobu Fujiyoshi

Workshop on Human Factors in Intelligent Vehicles 2017.10.16

Event date： 2017

Language：English Presentation type：Oral presentation (general)

Venue：Mielparque Yokohama, Kanagawa, Japan

In this paper, we report a case study on driver's decision in terms of pedestrian attributes. Among various traffic situations, the situation that a vehicle passes by a pedestrian is one of the major situations. To build a safety driving system that supports a non-experienced driver in such a situation, we analyzed how experienced drivers decide to handle the vehicle in such a situation. Since pedestrian’s behavior can be considered as a key factor for the decision, and also the behavior is different depending on their attributes," such as walking or stopping, noticing the vehicle or not, using a smartphone, etc., we analyzed what pedestrian's attributes affect the driver's decisions. For the analysis, we first built a large-scale dataset of driving data. Using the dataset, we clarified what attributes are dominant for the driver's decision."

A Study on GANs based on Pose Manifold for Rigid Object Pose Estimation

Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

IEICE Technical Report (PRMU) 2017.10.13

Study on Gaze Target Localization from Low-Resolution Faces of Group of People

Yuki Kodama, Yasutomo Kawanishi, Takatsugu Hirayama, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Hidehisa Nagano, Kunio Kashino

IEICE Technical Report (PRMU) 2017.10.13

A Preliminary Study on Reliability Estimation of Pedestrian Detectors

Haruya Kyutoku, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Kazuki Kato, Hiroshi Murase

2017.10.11

Analysis on the Relation between Pedestrian's Attributes and the Driver's Behavior when Passing by a Pedestrian

Fumito Shinmura, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Hironobu Fujiyoshi

2017.10.11

Detection of Similar Geo-Regions based on Visual Concepts in Social Photos International conference

Hiroki Takimoto, Magali Philippe, Yasutomo Kawanishi, Ichiro Ide, Takatsugu Hirayama, Keisuke Doman, Daisuke Deguchi, Hiroshi Murase

Pacific-Rim Conference on Multimedia (PCM) 2017.9.28

Event date： 2017

Language：English Presentation type：Oral presentation (general)

Travel destination recommendation is useful to support travel.Considering the recommendation of regions within the destination area to visit, it could be difficult for the users to explicitly indicate their preference.Therefore, we considered that it would be more intuitive to recommend regions in the destination area that are similar to a region already well-known to the user.Thus, in this paper, we propose a method for the detection of similar geo-regions based on Visual Concepts in social photos.We report experimental results and analyses by applying the proposed method to the YFCC100M dataset.

Automatic Selection of Web Contents Towards Automatic Authoring of a Video Biography

Kyoka Kunishiro, Frank Nack, Ichiro Ide, Yasutomo Kawanishi, Daisuke Deguchi, Hiroshi Murase

IEICE Technical Report (MVE) 2017.3.6

Improvement of an attractiveness estimation method of food photos by using gaze information during preference experiments

Akinori Sato, Takatsugu Hirayama, Keisuke Doman, Yasutomo Kawanishi, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering 2017 2017.9.7

Toward Zero-shot Gaits Translation by Onomatopoeia Based on the Relationship between Phoneme and Body-Parts Movement

Hirotaka Kato, Takatsugu Hirayama, Yasutomo Kawanishi, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering 2017 2017.9.7

Action Recognition from Extremely Low-Resolution Thermal Image Sequence International conference

Takayuki Kawashima, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Tomoyoshi Aizawa, Masato Kawade

14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS2017) 2017.9.1

Event date： 2017

Language：English Presentation type：Poster presentation

Venue：Carlo V Castle, Lecce, Italy

This paper proposes a Deep Learning-based action recognition method from an extremely low-resolution thermal image sequence. The method recognizes daily actions by humans (e.g. walking, sitting down, standing up, etc.) and abnormal actions (e.g. falling down) without privacy concerns. While privacy concerns can be ignored, it is difficult to compute feature points and to obtain a clear edge of the human body from an extremely low-resolution thermal image. To address these problems, this paper proposes a Deep Learning-based action recognition method that combines convolution layers and an LSTM layer for learning spatio-temporal representation, whose inputs are the thermal images and their frame differences cropped by the gravity center of human regions. The effectiveness of the proposed method was confirmed through experiments.

DOI： 10.1109/AVSS.2017.8078497

Transifexを利用したコミュニティ翻訳

出口大輔

JTF 翻訳支援ツール説明会 2017.8.21

Estimation of the attractiveness of food photography focusing on main ingredients International conference

Kazuma Takahashi, Keisuke Doman, Yasutomo Kawanishi, Takatsugu Hirayama, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

9th Workshop on Cooking and Eating Activities (CEA2017) in conjunction with IJCAI2017 2017.8.20

Trajectory Ensemble: カメラネットワーク上での一時的な見えの変化に頑健な多人数追跡

川西康友, 出口大輔, 井手一郎, 村瀬洋

画像の認識・理解シンポジウム(MIRU) 2017.8.10

車両周辺環境の違いに対する歩行者検出器の信頼度推定に関する初期検討

久徳遙矢, 川西康友, 出口大輔, 井手一郎, 加藤一樹, 村瀬洋

画像の認識・理解シンポジウム(MIRU) 2017.8.10

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