Online edition: ISSN 2432-6380
[TOP] | [2018] | [2019] | [2020] | [2021] | [2022] | [2023] | [2024] | [Japanese] / [English]
PRMU2023-39
(See Japanese page.)
pp. 1 - 6
PRMU2023-40
Estimation of 3D Coordinates of Fingertips using Contrastive Embeddings from Hand Images
Tatsuya Abe, Takeshi Umezawa, Noritaka Osawa (Chiba Univ.)
pp. 7 - 12
PRMU2023-41
[Fellow Memorial Lecture]
Hypothesis Generation and Verification/Refinement
-- Messages embedded in my research --
Toshikazu Wada (Wakayama Univ.)
p. 13
PRMU2023-42
Efficient exploration with intrinsic motivation considering state transitions in deep reinforcement learning
Kaito Ohshika, Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.)
pp. 14 - 19
PRMU2023-43
Multi-modal Model
Yugo Kubota, Seiichi Uchida, Daichi Haraguchi (Kyushu Univ.)
pp. 20 - 25
PRMU2023-44
Body Parts Motion Guided Deformable Attention for Action Recognition
Yuji Sato, Umihiro Kamoto, Takeo Ueta (Panasonic Connect), Yasunori Ishii (Panasonic Holdings), Takayoshi Yamashita (Chubu Univ.)
pp. 26 - 31
PRMU2023-45
Investigation of lightweight methods for object recognition models of YOLOv7-tiny using a combination of various kinds of convolution modules
Yuedong Li, Akira Kubota (Chuo Univ.)
pp. 32 - 37
PRMU2023-46
(See Japanese page.)
pp. 38 - 39
PRMU2023-47
Comparison of Imbalanced Data Handling Techniques in Emotion Estimation of Expressway Service Area Workers using Stacking Ensemble Learners for Complex Decision Boundaries
Akihiro Sato, Satoki Ogiso, Ryosuke Ichikari, Takeshi Kurata (AIST)
pp. 40 - 45
PRMU2023-48
(See Japanese page.)
pp. 46 - 49
PRMU2023-49
An attempt to determine stenosis from coronary stretch images using deep learning
Tetsuya Asakawa, Hiroki Shinoda, Yuta Fukatsu (TUT), Takuya Togawa, Kazuki Shimizu (THC), Masaki Aono (TUT)
pp. 50 - 55
PRMU2023-50
Tomohiro Hayase (CMVL), Sacha Braun (L'X), Itsuki Orito (Cluster)
pp. 56 - 61
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.