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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-21 16:40 |
Okinawa | OIST | Gradually Growing SparseNet Takumi Nakamura, Shogo Taneda, Yukari Yamauchi (NU) |
(To be available after the conference date) [more] | |
| SC | 2024-06-08 14:25 |
Fukushima | Univ. of Aizu (Primary: On-site, Secondary: Online) |
Retrieving and Analyzing External Features of Elderly Individuals at Home
-- Integrating Time-Series Images and Pose Detection -- Sinan Chen, Masahide Nakamura, Kiyoshi Yasuda (Kobe Univ.) |
(To be available after the conference date) [more] | |
| PRMU, IPSJ-CVIM | 2024-05-16 15:10 |
Tokyo | (Primary: On-site, Secondary: Online) |
A Proposal for Generating Incorrect Pairs for the CLIP Learning based on Image Clustering Rina Tagami, Hiroki Kobayashi, Shuichi Akizuki, Manabu Hashimoto (Chukyo Univ.)  PRMU2024-5 |
We proposed a novel method for generating incorrect pairs to enhance learning performance in CLIP's contrastive learning... [more] | PRMU2024-5 pp.24-29 |
| NLP | 2024-05-10 10:55 |
Kagawa | Kagawa Prefecture Social Welfare Center | Analysis of the role of latent variables in image classification in deep learning models Kenya Jin'no, Mizuki Dai, Haruki Wakasa, Hiroki Tamegai (Tokyo City Univ.) NLP2024-12 |
Deep learning-based image classification represents a significant advancement in enabling computers to identify the cont... [more] | NLP2024-12 pp.58-62 |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-13 11:10 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Emotion Estimation for Advertising Images in Virtual Space by DNN Using Bio-signals and Physical Features of Images Naho Inoue, Maki Kubo, Wataru Kameyama (Waseda Univ.), Masafumi Hashimoto, Yuki Yamauchi, Kunitomo Sasaki, Natsuko Minegishi (Konica Minolta, Inc.) CQ2023-70 |
Since the proportion of time spent and consumption in metaverse is expected to explode in the near future, we have been ... [more] | CQ2023-70 pp.1-6 |
| 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 |
| MI | 2024-03-04 09:00 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Distance-informed adversarial learning for metal artifact reduction Daisuke Shigemori, Megumi Nakao (Kyoto Univ.) MI2023-62 |
In this study, we propose an adversarial learning framework that utilises distance information from metal to reduce CT m... [more] | MI2023-62 pp.95-98 |
| MI | 2024-03-04 11:10 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Identification of follicle segmentation and subtype in a lymph node HE-stained image based on the set of cell nuclei Mizuki Moribe, Tatsuya Yokota (NIT), Koichi Oshima, Hiroaki Miyoshi, Miharu Nagaishi (Kurume Univ.), Noriaki Hashimoto (RIKEN), Ichiro Takeuchi (NU), Hidekata Hontani (NIT) MI2023-72 |
In this paper, we report on a method for follicle segmentation and the identification of malignant lymphoma subtypes usi... [more] | MI2023-72 pp.131-132 |
| MI | 2024-03-04 14:48 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Pathological image features for prediction of disease progression of lung cancer patients who received radiation therapy Jin Yu, Hidetaka Arimura, Takeshi Iwasaki, Takumi Kodama, Cui YunHao, Yoshinao Oda (Kyushu Uni.) MI2023-83 |
Radiation therapy is one of treatment options for lung cancer patients with early and late stages. Since the disease pro... [more] | MI2023-83 pp.166-168 |
| MI | 2024-03-04 15:58 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Representations obtained by self-supervised learning of hierarchical ViT to discriminate between benign and malignant breast tumors Akiomi Ishikawa (NIT), Kouji Arihiro (HIrosima Univ), Hidekata Hontani (NIT) MI2023-88 |
In this paper, I report a method to apply the representation of pathological microscopic images obtained by self-supervi... [more] | MI2023-88 pp.184-185 |
| 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 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-03-01 16:35 |
Okinawa | (Primary: On-site, Secondary: Online) |
Large Scale Pre-training and Dynamic Convolution for Image Restoration Under Bad Weather Conditions Shugo Yamashita, Masaaki Ikehara (Keio Univ.) EA2023-128 SIP2023-175 SP2023-110 |
We propose a convolution-based Encoder-Decoder model for removing degradation caused by multiple weather conditions such... [more] | EA2023-128 SIP2023-175 SP2023-110 pp.394-399 |
| 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 |
| SIP, IT, RCS | 2024-01-19 13:30 |
Miyagi | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Problem of Adversarial Attacks on CNN-based Image Classifiers and Countermeasures Minoru Kuribayashi (Tohoku Univ.) IT2023-67 SIP2023-100 RCS2023-242 |
It is well-known that discriminative models based on deep learning techniques may cause misclassification if adversarial... [more] | IT2023-67 SIP2023-100 RCS2023-242 p.204 |
| HIP | 2023-12-21 14:45 |
Miyagi | Research Institute of Electrical Communication | Statistical Causal Discovery for Facial Impression Factors Using Morphological and Image Features Takanori Sano, Hideaki Kawabata (Keio Univ.) HIP2023-81 |
Many studies have been conducted on the factors that form facial impressions. However, the details of the relationship b... [more] | HIP2023-81 pp.28-30 |
| 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] | |
| NLP | 2023-11-28 13:50 |
Okinawa | Nago city commerce and industry association | Considerations on the distribution of latent variables in CNNs Mizuki Dai, Kenya Jin'no (Tokyo City Univ.) NLP2023-65 |
Abstract Fully comprehending the output decision mechanisms of neural networks is a critical challenge. This article foc... [more] | NLP2023-65 pp.31-34 |
| MI, MICT | 2023-11-14 13:20 |
Fukuoka | Medical image diagnosis support system with image anonymization based on deep learning techniques Katsuto Iwai, Ryuunosuke Kounosu (Toho Univ./AIST), Hirokazu Nosato (AIST), Yuu Nakajima (Toho Univ.) MICT2023-30 MI2023-23 |
When medical imaging AI models are hosted on cloud service there is a risk of sensitive medical images being leaked when... [more] | MICT2023-30 MI2023-23 pp.21-24 |
|
| HIP | 2023-10-11 13:00 |
Kyoto | Kyoto Keizai Center (Primary: On-site, Secondary: Online) |
Investigation of Subjective Quality in Taste Sense corresponding to Change of Image Features Yueying SHI, Masashi Kameda (Iwate Pref. Univ.) HIP2023-71 |
With the aim of improving the features of images, this research examines the effects of changes in the brightness and sa... [more] | HIP2023-71 pp.53-58 |
| IBISML | 2023-09-08 13:25 |
Osaka | Osaka Metropolitan University (Nakamozu Campus) (Primary: On-site, Secondary: Online) |
Consideration of Negative Samples in Contrastive Learning Daiki Ishiguro, Tomoko Ozeki (Tokai Univ.) IBISML2023-28 |
Contrastive learning has achieved accuracy comparable to supervised learning. In this method, the transformed image pair... [more] | IBISML2023-28 pp.16-21 |
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