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Technical Committee on Pattern Recognition and Media Understanding (PRMU) (Searched in: 2022)
Search Results: Keywords 'from:2022-05-12 to:2022-05-12'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IPSJ-CVIM | 2022-05-13 10:00 |
Aichi | Toyota Technological Institute | Robust Small Objects Detection Using YOLO-v4 with Attention and Layer Yuedong Li (Chuo Univ)  PRMU2022-1 |
Abstract: It is a difficult problem how to make traditional neural network algorithm show good adaptability to the typic... [more] | PRMU2022-1 pp.1-5 |
| PRMU, IPSJ-CVIM | 2022-05-13 10:15 |
Aichi | Toyota Technological Institute | Shape-preserving Style Transfer by Dense Pixel Correspondences between Input and Output Images and its Application to Gaze Estimation Daiki Mushiake, Norimichi Ukita (TTI) PRMU2022-2 |
Gaze estimation has been applied to a variety of tasks， and many methods using deep learning have been proposed in recen... [more] | PRMU2022-2 pp.6-11 |
| PRMU, IPSJ-CVIM | 2022-05-13 10:30 |
Aichi | Toyota Technological Institute | Visualization of Decision Rationale Using Social and Physical Attention Mechanisms in Human Trajectory Prediction Model Masahiro Kato, Norimichi Ukita (TTI) PRMU2022-3 |
There is a great deal of interest in explainable AI that clarifies the basis of decisions, such as why a model makes a p... [more] | PRMU2022-3 pp.12-17 |
| PRMU, IPSJ-CVIM | 2022-05-13 10:45 |
Aichi | Toyota Technological Institute | Efficient DNN model for word lip-reading Daiki Arakane, Takeshi Saitoh (Kyutech) PRMU2022-4 |
This paper studies various deep learning models for lip-reading technology, including one of supervised learning of the ... [more] | PRMU2022-4 pp.18-23 |
| PRMU, IPSJ-CVIM | 2022-05-13 11:00 |
Aichi | Toyota Technological Institute | Relationship between Perceptual and Image Qualities of Training and Reconstruction Images in Video Super-Resolution Hiroshi Mori, Norimichi Ukita (TTI) PRMU2022-5 |
Super resolution is a technique for converting low-resolution images into high-resolution images. Recent research has sh... [more] | PRMU2022-5 pp.24-29 |
| PRMU, IPSJ-CVIM | 2022-05-13 14:50 |
Aichi | Toyota Technological Institute | Addressing Uncertain Radar-measurement Directions by Supervision using LiDAR Masaya Kotani, Norimichi Ukita (TTI) PRMU2022-6 |
In recent years, research on multimodal deep learning-based object detection and depth estimation methods using millimet... [more] | PRMU2022-6 pp.30-35 |
| PRMU, IPSJ-CVIM | 2022-05-13 15:05 |
Aichi | Toyota Technological Institute | Automated original drawing tracing for animation Iori Shioya, Masayuki Kashima, Shinya Fukumoto, Mutsumi Watanabe (Kagoshima Univ.) PRMU2022-7 |
This paper proposes an automatic system for cleaning up images. The system attempts to improve the existing cleanup proc... [more] | PRMU2022-7 pp.36-41 |
| PRMU, IPSJ-CVIM | 2022-05-13 15:20 |
Aichi | Toyota Technological Institute | Semi-supervised learning for pathological images segmentation Yuki Shigeyasu, Shota Harada, Kengo Araki (Kyushu Univ.), Akihiko Yoshizawa, Kazuhiro Terada, Yuki Teramoto (Kyoto Univ.), Ryoma Bise (Kyushu Univ.) PRMU2022-8 |
[more] | PRMU2022-8 pp.42-46 |
| PRMU, IPSJ-CVIM | 2022-05-13 15:35 |
Aichi | Toyota Technological Institute | Automatic Classification of Cervical Cancer Cells using Deep Learning Yukihiro Tsuboshita, Mitsuaki Okodo (Kyorin Univ.) PRMU2022-9 |
(To be available after the conference date) [more] | PRMU2022-9 pp.47-51 |
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