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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 107  /  [Next]  
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]
EA 2024-05-22
16:50
Online Online [Invited Talk] Fundamentals of Diffusion-based Generative Models and their Application to Speech Enhancement and Separation
Scheibler Robin (LY Corp.)
(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
NLP, MSS 2024-03-14
14:25
Misc. Kikai-Shinko-Kaikan Bldg. Extension of Young's Reaction-Diffusion Cellular Automaton and its Phenomena
Taisei Nagashima, Tadashi Tsubone (NUT) MSS2023-93 NLP2023-145
(To be available after the conference date) [more] MSS2023-93 NLP2023-145
pp.107-110
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
10:52
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
CQ, CBE
(Joint)
2024-01-25
15:35
Kumamoto Kurokawa-Onsen
(Primary: On-site, Secondary: Online)
On Inhibition of Self-interested Behavior in Collective Action Problem Triggered by Dissemination of Corrective Information
Masaaki Miyashita, Norihiko Shinomiya (Soka Univ.) CQ2023-57
The collective action problem, in which misinformation prompts individuals to engage in self-interested behavior, which ... [more] CQ2023-57
pp.31-36
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
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]
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]
NLP, CAS 2023-10-07
10:50
Gifu Work plaza Gifu Characteristics of traveling waves in inhomogeneous media with FitzHugh-Nagumo model -- focusing on dispersion relations and percolation transition --
Chikoo Oosawa (Kyushu Inst. of Tech.) CAS2023-51 NLP2023-50
Numerical solutions were obtained from FitzHugh-Nagumo(FHN) model in a two-dimensional media. In order to introduce hete... [more] CAS2023-51 NLP2023-50
pp.96-99
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
MSS, CAS, SIP, VLD 2023-07-07
15:20
Hokkaido
(Primary: On-site, Secondary: Online)
Verification of effectiveness of the greedy algorithm for the influence maximization problem focusing on the authenticity in OSN
Jodai Yoshiue, Atsushi Wakamatsu, Masaaki Miyasita, Norihiko Shinomiya (Soka Univ.) CAS2023-28 VLD2023-28 SIP2023-44 MSS2023-28
In recent years, social media has become increasingly popular. While it has advantages such as high advertising effectiv... [more] CAS2023-28 VLD2023-28 SIP2023-44 MSS2023-28
pp.143-146
MI 2023-07-03
10:00
Miyagi Tohoku Univ. Sakura Hall HCP data processing by hybrid approach for parameter inference in free water imaging model of diffusion MRI -- comparison of diffusion tensor computation methods for datasets without b0 image --
Yoshitaka Masutani (Tohoku Univ.), Keigo Yamazaki, Wataru Uchida, Koji Kamagata (Juntendo Univ.), Koh Sasaki (HHC), Shigeki Aoki (Juntendo Univ.) MI2023-7
We have proposed a hybrid approach combining synthetic Q-space learning and conventional fitting for parameter estimatio... [more] MI2023-7
pp.1-2
 Results 1 - 20 of 107  /  [Next]  
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