Online edition: ISSN 2432-6380
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PRMU2022-58
Toward Regularizing Neural Networks with Meta-Learning Generative Models
Shin'ya Yamaguchi (NTT/Kyoto Univ.), Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai (NTT), Hisashi Kashima (Kyoto Univ.)
pp. 1 - 6
PRMU2022-59
Adversarial Training Focusing on Misclassification Risk in Image Classification
Norikoe Murakami, Seiya Ito, Kouzou Ohara (Aoyama Gakuin Univ.)
pp. 7 - 12
PRMU2022-60
Relation Between Shape/Texture Biases and Double-Descent Phenomenon in Visual Recognition
Shuya Takahashi (Tokyo Denki Univ./AIST), Nakamasa Inoue, Rio Yokota (Tokyo Tech), Hirokatsu Kataoka (AIST), Eisaku Maeda (Tokyo Denki Univ.)
pp. 13 - 16
PRMU2022-61
Detection of UI parts from web page images utilizing a small amount of data
Wataru Aizaki, Sotaro Kato, Yoshihisa Shinozawa (Keio Univ.), Yukako Iimura, Shinobu Saito (NTT)
pp. 17 - 22
PRMU2022-62
A Study on Simultaneous Detection of Music Notes and Staff with YOLOv7
En Kamiya, Nobutaka Kuroki, Masahiro Numa (Kobe Univ.)
pp. 23 - 27
PRMU2022-63
LabOps: Automating Research and Education Activities
Yusuke Matsui (UT)
pp. 28 - 29
PRMU2022-64
Distributed Parallel Construction of Approximate Nearest Neighbor Search Index for Large-Scale and High-Dimensional Data
Naoki Ono, Yusuke Matsui (UTokyo)
pp. 30 - 35
PRMU2022-65
(See Japanese page.)
pp. 36 - 41
PRMU2022-66
Pruning for Producing Efficient DNNs: Neuron Selection and Reconstruction based on Final Layer Error
Koji Kamma, Toshikazu Wada (Wakayama Univ.)
pp. 42 - 47
PRMU2022-67
Cell mitosis detection with partial annotation
Kazuya Nishimura (Kyushu Univ.), Ami Katanaya, Shinichiro Chuma (Kyoto Univ.), Ryoma Bise (Kyushu Univ.)
pp. 48 - 53
PRMU2022-68
(See Japanese page.)
pp. 54 - 58
PRMU2022-69
Study on Estimation Method of Landslide Location and Scale by Segmentation of RGBD Images Acquired by the Camera Attached to a Drone
Kai Matsui (Waseda Univ.), Katsuya Hasegawa (JAXA), Jun Ohya, Yoichi Kato, Mako Yokozawa (Waseda Univ.)
pp. 59 - 64
PRMU2022-70
Investigation of a Method to Obtain Growing Conditions by Object Detection for Cucumber image under Forcing Culture Using IoP Cloud
Yuma Usui, Akihiro Tanikawa, Takaya Matsumoto (KUT/Office asoT), Mitsuhiro Osaki, Kazuma Nishiuchi (Citynet), Masahiro Fukumoto (KUT)
pp. 65 - 70
PRMU2022-71
On the Effectiveness of Formula-Driven Supervised Learning for Medical Image Tasks
Ryuto Endo, Shuya Takahashi, Eisaku Maeda (TDU)
pp. 71 - 75
PRMU2022-72
A trial of writer identification using a deep neural network trained by handwriting of multiple character types
-- A study using a handwriting database of 401 writers --
Yoshinori Akao (NRIPS)
pp. 76 - 81
PRMU2022-73
*
Masaya Mizuno (Nagoya Univ.), Tomohiro Fujita, Yasutomo Kawanishi (RIKEN), Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.)
pp. 82 - 87
PRMU2022-74
Investigation of Appearance Inspection Method Considering the Number of Corresponding Local Patches
Katsuhisa Kitaguchi, Yohei Nishizaki, Mamoru Saito (ORIST)
pp. 88 - 92
PRMU2022-75
A Study on Trendy Style Learning and Recommendation in Digital Makeup System
Yoshimi Sato, Nobutaka Kuroki, Masahiro numa (Kobe Univ.)
pp. 93 - 96
PRMU2022-76
Report on the 3rd Lip-Reading Challenge
Takeshi Saitoh (Kyutech), Yuto Goto, Hiroyuki Nagano, Akihiro Kato, Masaki Nose (RICOH), Naoki Hiramoto (Mercoin), Tomohiro Hattori, Shiiya Aoyama, Yusuke Katoh, Ryuta Toshima, Takumi Nagawaki, Satoshi Tamura (Gifu University), Daiki Arakane (Kyutech)
pp. 97 - 101
PRMU2022-77
A Study of Word Lip-Reading using Meta Learning
Michinari Kodama, Takeshi Saitoh (kyutech)
pp. 102 - 106
PRMU2022-78
Dynamic Weight Scheduling for Long-tailed Visual Recognition
Xinyuan Li (Ritsumeikan Univ.), Yu Wang (Hitotsubashi Univ.), Jien Kato (Ritsumeikan Univ.)
pp. 107 - 110
PRMU2022-79
Blind deconvolution with non-smooth regularization via Bregman proximal DC algorithms
Shota Takahashi (SOKENDAI), Mirai Tanaka, Ikeda Shiro (ISM)
pp. 111 - 118
PRMU2022-80
Boosting for Class Imbalance Data
Yuya Saito, Shinnosuke Matsuo, Seiichi Uchida, Daiki Suehiro (Kyushu Univ)
pp. 119 - 124
PRMU2022-81
Non-uniqueness of solutions in Physics-informed neural networks
Shuichiro Tsuda, Toshiyuki Tanaka (Kyoto Univ.)
pp. 125 - 128
PRMU2022-82
Optimal Approximation Rate of Deep CNNs with Small Filter Size
Yuma Sato, Masaaki Imaizumi (UT)
pp. 129 - 133
PRMU2022-83
Binarization of Vision Transformer with Scaling Factors
Shun Sato, Shun Sawada, Hidefumi Ohmura, Kouichi katsurada (TUS)
pp. 134 - 139
PRMU2022-84
Novel Adversarial Attacks Based on Embedding Geometry of Data Manifolds
Masahiro Morita, Hajime Tasaki, Jinhui Chao (Chuo Univ.)
pp. 140 - 145
PRMU2022-85
[Fellow Memorial Lecture]
Team Building for World-Class CV x AI
-- Anticipating changes in the world and utilizing brain networks to flexibly and quickly put top technologies to practical use --
Masato Kawade (SenseTime Japan)
pp. 146 - 147
PRMU2022-86
[Invited Talk]
--
Masato Ishii (Sony)
p. 148
PRMU2022-87
[Invited Talk]
--
Yuma Koizumi (Google Research)
p. 149
PRMU2022-88
[Invited Talk]
--
Yusuke Tashiro (MTEC)
p. 150
PRMU2022-89
Does the class imbalance in the pre-training always adversely affect transfer learning performance?
Shojun Nakayama (Toshiba)
pp. 151 - 156
PRMU2022-90
Evaluating importance of data quantity and domain diversity for training dataset
Eisho Tsuji, Shintatro Takenaga (Univ. Tsukuba/AIST), Masaki Onishi (AIST)
pp. 157 - 162
PRMU2022-91
Evaluation of Spatial Transformer Network with Vision Transformer
Yoshiharu Iwasaki (Ritsumeikan Univ.), Yu Wang (Hitotsubashi Univ.), Jien Kato (Ritsumeikan Univ.)
pp. 163 - 168
PRMU2022-92
learning from label proportions
Shinnosuke Matsuo, Daiki Suehiro, Seiichi Uchida, Ryoma Bise (Kyushu Univ.)
pp. 169 - 174
PRMU2022-93
Shape completion
Yusuke Nagata, Seiichi Uchida (Kyushu Univ.)
pp. 175 - 180
PRMU2022-94
A Study on Data Augmentation by Pixel Value Transformation for Product Image Retrieval DNN
Yu Okamoto, Masaki Kishibe, Toshikazu Wada (Wakayama Univ.)
pp. 181 - 186
PRMU2022-95
Separate Predictive Time Series Reconstruction using Independent Low-Rank Matrix Analysis
Hibiki Izumi, Jun Rokui (Univ of Shizuoka)
pp. 187 - 192
PRMU2022-96
(See Japanese page.)
pp. 193 - 198
PRMU2022-97
A Semi-Supervised Learning Framework for Handwritten Text Recognition using Mixed Augmentations and Scheduled Pseudo-Label Loss
Masayuki Honda, Hung Tuan Nguyen, Cuong Tuan Nguyen (TUAT), Cong Kha Nguyen, Ryosuke Odate, Takashi Kanemaru (Hitachi Ltd.), Masaki Nakagawa (TUAT)
pp. 199 - 204
PRMU2022-98
(See Japanese page.)
pp. 205 - 210
PRMU2022-99
Unknown Object Segmentation by View Independent Scene Change Detection
Li Jiaxin (Nagoya Univ.), Yasutomo Kawanishi (RIKEN), Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.)
pp. 211 - 216
PRMU2022-100
3D Point Cloud based Object Recognition and Auto True-Value System Construction for Autonomous Driving
Bin Zhang, Congzhi Ren, Hun-ok Lim (KU)
pp. 217 - 219
PRMU2022-101
A Study of Few-shot NeRF by Pseudo-Feature Vectors Evaluation for Unknown Viewpoints
Daiju Kanaoka (Kyutech/RIKEN), Motoharu Sonogashira (RIKEN), Hakaru Tamukoh (Kyutech/Neumorph Center), Yasutomo Kawanishi (RIKEN)
pp. 220 - 225
PRMU2022-102
Memory Efficient Trilinear Up-sampling for Sparse Voxels
Riku Yamashita, Yusuke Matsui (UTokyo)
pp. 226 - 231
PRMU2022-103
High Accuracy Alignment of 3D Point Clouds Obtained from Multiple View Point Images for Automatic Wire Harness Placement Environments
Erika Hata, Eiji Fukuzawa, Jun Ohya (Waseda Univ.)
pp. 232 - 237
PRMU2022-104
Satoshi Kamiya (Meijo University), Youichi Sakurada, Kenji Kashiwagi (Yamanashi University), Kazuhiro Hotta (Meijo University)
pp. 238 - 241
PRMU2022-105
(See Japanese page.)
pp. 242 - 247
PRMU2022-106
(See Japanese page.)
pp. 248 - 253
PRMU2022-107
Consistent 3D Stylization in sketch with NeRF
Yanyuan Fu, Yusuke Matsui (UTokyo)
pp. 254 - 259
PRMU2022-108
A Basic Study on Automated Camera Selection for Vehicle Localization using Scene Recognition Features
Haruya Kyutoku (Aichi Univ. of Tech./Toyota Tech. Inst.), Tokihiko Akita, Seiichi Mita (Toyota Tech. Inst.)
pp. 260 - 265
PRMU2022-109
[Short Paper]
Local deformation feature extraction with Deformable Convolution
Kazuki Kitajima, Seiichi Uchida (Kyushu Univ.)
pp. 266 - 268
PRMU2022-110
Sota Kato, Kazuhiro Hotta (Meijo Univ.)
pp. 269 - 274
PRMU2022-111
Collaborative Intelligence for Transformer-Based AI Systems
Monikka Roslianna Busto, Shohei Enomoto, Takeharu Eda (NTT SIC)
pp. 275 - 280
PRMU2022-112
Eye-contact Transformer: Eye contact detection of distant pedestrians using a sequence of skeletons and scene features
Ryusei Hata, Daisuke Deguchi (Nagoya Univ), Takatsugu Hirayama (UHE/Nagoya Univ), Yasutomo Kawanishi (RIKEN/Nagoya Univ), Hiroshi Murase (Nagoya Univ)
pp. 281 - 286
PRMU2022-113
(See Japanese page.)
pp. 287 - 292
PRMU2022-114
Parallel-Data-Free Japanese Singer Conversion using CycleGAN Considering Perceptual Loss in Singing Phoneme Sequences
Kanade Gemmoto, Nobutaka Shimada, Tadashi Matsuo (Ritsumeikan Univ)
pp. 293 - 298
PRMU2022-115
Explainable Deep Clustering for Wafer Defect Pattern Classification
Yuki Okazaki, Hiroki Takahashi (The Univ. of Electro-Communications)
pp. 299 - 304
PRMU2022-116
Analysis of TV commercial favorability by scene labeling and XAI
Kanta Fukuyori, Kunio Matsui (Knazawa Inst.Tech.), Koh Tatsumoto (TOKYO KIKAKU CO.,Ltd.)
pp. 305 - 310
PRMU2022-117
Classifying Cable Tendency with Semantic Segmentation by Utilizing Real and Simulated RGB Data
Pei-Chun Chien, Powei Liao, Eiji Fukuzawa, Jun Ohya (Waseda Univ.)
pp. 311 - 318
PRMU2022-118
A Study on Interior Design Simulation with Multiple CycleGANs
Tatsuya Hagi, Nobutaka Kuroki, Masahiro Numa (Kobe Univ.)
pp. 319 - 322
PRMU2022-119
Category and Ingredients Estimation From Food Image Robust to Typicality of Used Ingredients
Daiki Yamashita, Kengo Murata, Seiya Ito, Kouzou Ohara (Aoyama Gakuin Univ.)
pp. 323 - 328
PRMU2022-120
Comic Speaker Detection and Estimation using Scene Graph
Yingxuan Li, Kiyoharu Aizawa, Yusuke Matsui (UTokyo)
pp. 329 - 334
PRMU2022-121
Continual learning combining Replay and Parameter Isolation Methods
Ryota Adachi, Toshikazu Wada (Wakayama Univ.)
pp. 335 - 340
PRMU2022-122
Dynamic Structure Estimation from Bandit Feedback
Isao Ishikawa (Ehime Univ.), Motoya Ohnishi (Univ. of Washington), Yuko Kuroki (The Univ. of Tokyo), Masahiro Ikeda (RIKEN)
pp. 341 - 346
PRMU2022-123
Fast Identification of Possible Model Parameter Update for Low-Rank Update of Training Data
Hiroyuki Hanada, Noriaki Hashimoto (RIKEN), Kouichi Taji, Ichiro Takeuchi (Nagoya Univ.)
pp. 347 - 354
PRMU2022-124
On the analysis of diverse solutions in topic models
Toshio Uchiyama, Tsukasa Hokimoto (HIU)
pp. 355 - 362
PRMU2022-125
Upper bound of real log canonical threshold based on linear programming problem for the multi-indexes of a polynomial
Joe Hirose (Tokyo Tech)
pp. 363 - 370
PRMU2022-126
Forest Construction of Gaussian and Discrete Variables based on WBIC
Ashraful Islam, Joe Suzuki (Osaka Univ.)
pp. 371 - 377
PRMU2022-127
The free energy of the mean field approximation in normal crossing functions
Miki Aoyagi (Nihon Univ.)
pp. 378 - 383
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.