| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, MSS | 2024-03-14 10:50 |
Misc. | Kikai-Shinko-Kaikan Bldg. | Fake Image Detection Focused on Local Regions Takumi Owada, Kenya Jinno (Tokyo City Univ.)  MSS2023-88 NLP2023-140 |
We Propose a novel method for detection of images generated by Diffusion Models. We also investigate the attention of ou... [more] | MSS2023-88 NLP2023-140 pp.83-86 |
| NC, MBE (Joint) |
2024-03-12 10:25 |
Tokyo | The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Investigation of high resolutional animal MRI using micro transmit/receive coil Kazuhiro Nakamura, Toshibumi Kinoshita (Akita Noken) MBE2023-76 |
In order to recognize the perivascular space perfusion, we need a method for combined evaluation of MRI and flurescence ... [more] | MBE2023-76 pp.42-45 |
| MI | 2024-03-03 09:05 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Generation of Counterfactual Pathology Images of Malignant Lymphoma using Diffusion Models Ryoichi Koga, Tatsuya Yokota (NIT), Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi (Kurume Univ.), Noriaki Hashimoto (RIKEN), Ichiro Takeuchi (Nagoya Univ.), Hidekata Hontani (NIT) MI2023-30 |
Malignant lymphoma has more than 70 subtypes. In the pathological diagnosis, a pathological image is observed to identif... [more] | MI2023-30 pp.1-2 |
| EMM | 2024-03-02 14:00 |
Overseas | Day1:JEJU TECHNOPARK, Day2:JEJU Business Agency | [Poster Presentation]
Classification of AI generated images by sparse coding Daishi Tanaka, Michiharu Niimi (KIT) EMM2023-89 |
In recent years, advancements in generative AI technologies have made it increasingly challenging for human vision to di... [more] | EMM2023-89 pp.1-6 |
| ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2024-02-20 11:00 |
Hokkaido | Hokkaido Univ. | Image Generation Modification with Diffusion Model through Sketch Guidance Sandra Zhang Ding, Jiafeng Mao, Kiyoharu Aizawa (UTokyo) ITS2023-64 IE2023-53 |
Large-scale image generation models have demonstrated their remarkable ability to generate diverse, high-quality images.... [more] | ITS2023-64 IE2023-53 pp.95-99 |
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Interactive Design System Presenting Candidate Solutions Appealing to User's Sensibility by Image Generative AI Nagisa Sawada, Akira Hara, Tomoko Kajiyama (Hiroshima City Univ.), Shin'ichi Satoh (NII) |
We propose an interactive design system that optimizes the color scheme of a bouquet. The optimization is performed by I... [more] | |
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Creating cover images using characteristic words from online novels and image generative AI Yuki Ishida, Tomoko Kajiyama (Hiroshima City Univ.), Shin'ichi Satoh (NII) |
Because many web novels do not have cover images that intuitively convey the content to readers, it is difficult to disc... [more] | |
| PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI | 2023-11-17 14:40 |
Tottori | (Primary: On-site, Secondary: Online) |
Diffusion-based Geometric Unwarping and Illumination Correction for Document Images Sota Imahayashi, Guoqing Hao, Satoshi Iizuka, Kazuhiro Fukui (Univ. of Tsukuba) PRMU2023-36 |
This study proposes a method to improve the visibility of document images by correcting distortions and re-illuminating ... [more] | PRMU2023-36 pp.113-118 |
| IA | 2023-09-22 12:45 |
Hokkaido | Hokkaido Univeristy (Primary: On-site, Secondary: Online) |
Development and Evaluation of 3D Spatial Sharing System by Sensor Fusion of LiDAR and RGB Camera Mana Nishigaki, Hiroshi Yamamoto (Ritsumeikan Univ.), Hideaki Miyaji (Ritsumeikan University) IA2023-25 |
With the recent spread of COVID-19, online communication methods are attracting attention. However, the existing methods... [more] | IA2023-25 pp.89-94 |
| SIS, IPSJ-AVM [detail] | 2023-06-15 13:20 |
Shimane | NIT, Matsue College (Primary: On-site, Secondary: Online) |
A Proposal of Color-Correction Method for Color-Distortion Occurring in the Acquisition and Fusion of Multi-Exposure Image Seiichi Kojima, Noriaki Suetake (Yamaguchi Univ.) SIS2023-5 |
A multi-exposure image is a set of multiple images taken under different exposure conditions. In exposure fusion, a hig... [more] | SIS2023-5 pp.25-30 |
| PRMU, IPSJ-CVIM | 2023-05-18 13:30 |
Aichi | (Primary: On-site, Secondary: Online) |
Image Harmonization Using Diffusion Model for Perceptual Quality Improvement Taito Naruki, Norimichi Ukita (TTI) PRMU2023-1 |
Image harmonization is the task of eliminating the discomfort of color tones that occurs when images are composited. How... [more] | PRMU2023-1 pp.1-5 |
| CCS | 2023-03-27 09:00 |
Hokkaido | RUSUTSU RESORT | Medical Image Segmentation with Inverse Heat Dissipation Model Yu Kashihara, Takashi Matsubara (Osaka Univ.) CCS2022-82 |
The diffusion model is a generative model based on stochastic transitions and has been successfully used to generate an... [more] |
CCS2022-82 pp.107-112 |
| MI | 2023-03-06 16:00 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Segmentation of renal cancers from multi-phase CT images by deep learning using selective fusion Masanobu Gido (Tsukuba Univ.), Ryo Tanimoto, Kensaku Mori, Hideki Kakeya (Tsukuba Univ.) MI2022-92 |
Multiphase CT images are commonly used for the diagnosis of renal cancer. In this paper, we propose a machine learning s... [more] | MI2022-92 pp.94-99 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-02-28 10:40 |
Okinawa | (Primary: On-site, Secondary: Online) |
Image reconstruction with a diffusion model for robust image classification against unknown degradation Teruaki Akazawa (Tokyo Metro. Univ.), Yuma Kinoshita (Tokai Univ.), Hitoshi Kiya (Tokyo Metro. Univ.) EA2022-83 SIP2022-127 SP2022-47 |
This paper presents an image reconstruction method with a diffusion model for robust image classification against image ... [more] | EA2022-83 SIP2022-127 SP2022-47 pp.49-54 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-03-01 17:10 |
Okinawa | (Primary: On-site, Secondary: Online) |
RGB-D Salient Object Detection Using Saliency and Edge Reverse Attention Tomoki Ikeda, Masaaki Ikehara (Keio Univ.) EA2022-127 SIP2022-171 SP2022-91 |
Salient Object Detection is a task to detect visually significant objects in an image. Conventional methods have proble... [more] | EA2022-127 SIP2022-171 SP2022-91 pp.300-305 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 11:15 |
Hokkaido | Hokkaido Univ. | Evaluation Metrics Using Object Detection for Visible and Infrared Image Fusion Jihun Kang, Daichi Horita, Kiyoharu Aizawa (UTokyo) ITS2022-64 IE2022-81 |
We propose a new evaluation measure for the fusion images between visible and infrared images using object detection foc... [more] | ITS2022-64 IE2022-81 pp.124-129 |
| SIS | 2022-12-06 09:50 |
Osaka | (Primary: On-site, Secondary: Online) |
A Proposal of Backlit Image Enhancement Method Suppressing Change of Lightness Order Masato Akai (Yamaguchi Univ.), Yoshiaki Ueda (Fukuoka Univ.), Takanori Koga (Kindai Univ.), Noriaki Suetake (Yamaguchi Univ.) SIS2022-35 |
Bright and dark regions in a backlit image decrease its visibility. Conventional image enhancement methods tend to cause... [more] | SIS2022-35 pp.68-73 |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-10 17:40 |
Online | Online (Zoom) | Diminished Reality for Objects on a Plane Using Depth Camera Kazutaka Kiuchi, Norihiko Kawai (OIT) IMQ2021-46 IE2021-108 MVE2021-75 |
Diminished Reality (DR) is a technology that removes unwanted parts of an image in real time. This technology is based o... [more] | IMQ2021-46 IE2021-108 MVE2021-75 pp.187-192 |
| MI | 2022-01-27 16:39 |
Online | Online | [Short Paper]
Multiple Organ Detection from CT Images Based on Deep Learning
-- Fusion of 2D-CNN and Transformer -- Daiki Kanoh, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-89 |
The automatic recognition of multiple organs in 3D CT images and detecting organ positions are required for computer-aid... [more] | MI2021-89 pp.190-193 |
| PRMU | 2021-12-17 15:30 |
Online | Online | [Short Paper]
Prediction Model of Early Recurrence of Hepatocellular Carcinoma Based on Deep Learning with Attention Module Weibin Wang (Ritsumeikan Univ.), Fang Wang, Qingqing Chen (Zhejiang Univ.), Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Yen-wei Chen (Ritsumeikan Univ.) PRMU2021-59 |
Early recurrence of hepatocyte carcinoma (HCC) will still lead to a decrease in the survival rate of patients who have a... [more] | PRMU2021-59 pp.195-198 |
[Return to Top Page]