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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EA | 2024-05-22 13:00 |
Online | Online | Trends in Sound Source Separation and Enhancement at ICASSP2024 Yoshiki Masuyama (TMU) |
(To be available after the conference date) [more] | |
| 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 13:30 |
Tokyo | The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Diffusion-Based Immediate Adversarial Purification Yuito Narisawa, Motonobu Hattori (Yamanashi Univ.) NC2023-56 |
Neural networks have achieved high performance in image classification, but there is a problem known as Adversarial Exam... [more] | NC2023-56 pp.75-80 |
| 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 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-04 10:40 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Letter image generation Sho Shimotsumagari, Shumpei Takezaki, Daichi Haraguchi, Seiichi Uchida (Kyushu Univ.) PRMU2023-70 |
(To be available after the conference date) [more] | PRMU2023-70 pp.110-115 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-04 10:52 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Illust Protection against Generative AI using DnCNN Yukiya Fukuda, Daiju Kanaoka (Kyutech), Hakaru Tamukoh (Kyutech/Research Center for Neuromorphic AI Hardware) PRMU2023-71 |
Although generative AI such as stable diffusion are rapidly developing, but there are concerns about problems such as un... [more] | PRMU2023-71 pp.116-121 |
| MI | 2024-03-04 09:48 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
A trial for improvement in image quality of cone-beam CT images using conditional diffusion model Naruki Murahashi, Mitsuhiro Nakamura, Megumi Nakao (Kyoto Univ.) MI2023-66 |
In this study, we propose a method to improve the image quality of CBCT images based on a conditional diffusion model th... [more] | MI2023-66 pp.109-112 |
| 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 |
| SP, NLC, IPSJ-SLP, IPSJ-NL [detail] | 2023-12-02 13:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Effectiveness of Signal Compression in Speech Enhancement with Diffusion Models Yuki Nishi (Titech), Koji Iwano (Tokyo City Univ.), Koichi Shinoda (Titech) NLC2023-14 SP2023-34 |
(To be available after the conference date) [more] | NLC2023-14 SP2023-34 pp.1-6 |
| PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI | 2023-11-16 15:10 |
Tottori | (Primary: On-site, Secondary: Online) |
Diffusion model for medical image Shumpei Takezaki, Seiichi Uchida (Kyushu Univ.) PRMU2023-18 |
(To be available after the conference date) [more] | PRMU2023-18 pp.16-21 |
| PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI | 2023-11-17 09:20 |
Tottori | (Primary: On-site, Secondary: Online) |
() PRMU2023-30 |
(To be available after the conference date) [more] | PRMU2023-30 pp.80-85 |
| 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 |
| RISING (3rd) |
2023-10-31 09:45 |
Hokkaido | Kaderu 2・7 (Sapporo) | [Poster Presentation]
Triadic Split Computing toward Privacy-Conscious Generative AI services Shoki Ohta, Takayuki Nishio (Tokyo Tech) |
With the rapid advancements in big AI models such as text and image generation models, numerous web services have begun ... [more] | |
| IN, ICTSSL, IEE-SMF | 2023-10-20 15:05 |
Fukuoka | Fukuoka University | Measurement of Tsunami Damage from Aerial Photographs using Unsupervised Anomaly Detection with Diffusion Model Narumi Kikuchi, Masashi Kameda (Iwate Prefectural Univ.) ICTSSL2023-33 |
(To be available after the conference date) [more] | ICTSSL2023-33 pp.47-52 |
| MIKA (3rd) |
2023-10-10 15:35 |
Okinawa | Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
An Evaluation of the Generalizability of Influencer Prediction Models between Social Networks in Different Domains Kota Tahara, Sho Tsugawa (ITF) |
Identifying influencers on social media is one of the important research issues. Various methods for identifying influen... [more] | |
| AI | 2023-09-12 15:55 |
Hokkaido | Analysis of Conditional Image Generation Methods Using Color Palettes in Animal Personification Task Jianglin Xu, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2023-19 |
With the advent of large-scale pre-trained open-source diffusion models, image generation is now easily accessible to no... [more] | AI2023-19 pp.101-108 |
|
| AI | 2023-09-12 15:35 |
Hokkaido | Variational Autoencoder Oriented Protection for Intellectual Property Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) AI2023-31 |
In recent years, generative AI, which generates images based on instructions in natural language, has developed rapidly ... [more] | AI2023-31 pp.180-186 |
|
| AI | 2023-09-12 16:50 |
Hokkaido | Koki Miyauchi, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2023-34 |
Icons are indispensable elements for websites and smartphone applications. For website developers, the creation of icons... [more] | AI2023-34 pp.201-206 |
|
| 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 |
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