Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDToshihiko Yamasaki
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j49]Shengzhou Yi, Junichiro Matsugami, Toshihiko Yamasaki:
Assessment System of Presentation Slide Design Using Visual and Structural Features. IEICE Trans. Inf. Syst. 105(3): 587-596 (2022)- [j48]Zhijing Wan
, Xin Xu, Zheng Wang, Toshihiko Yamasaki, Xiaolong Zhang, Ruimin Hu:
Efficient virtual data search for annotation-free vehicle reidentification. Int. J. Intell. Syst. 37(5): 2988-3005 (2022) - [j47]Zhijing Wan, Xin Xu, Zheng Wang, Toshihiko Yamasaki, Xiaolong Zhang, Ruimin Hu:
Cover: International Journal of Intelligent Systems, Volume 37 Issue 5 May 2022. Int. J. Intell. Syst. 37(5): i (2022) - [i39]Taro Narahara, Toshihiko Yamasaki:
Subjective Functionality and Comfort Prediction for Apartment Floor Plans and Its Application to Intuitive Searches. CoRR abs/2202.12799 (2022) - [i38]Lang Huang, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Toshihiko Yamasaki:
Learning Where to Learn in Cross-View Self-Supervised Learning. CoRR abs/2203.14898 (2022) - [i37]Kaede Shiohara, Toshihiko Yamasaki:
Detecting Deepfakes with Self-Blended Images. CoRR abs/2204.08376 (2022) - [i36]Lang Huang, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Toshihiko Yamasaki:
Green Hierarchical Vision Transformer for Masked Image Modeling. CoRR abs/2205.13515 (2022) - [i35]Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki:
Superclass Adversarial Attack. CoRR abs/2205.14629 (2022) - 2021
- [j46]Subhajit Chaudhury, Toshihiko Yamasaki:
Robustness of Adaptive Neural Network Optimization Under Training Noise. IEEE Access 9: 37039-37053 (2021) - [j45]Subhajit Chaudhury, Hiya Roy, Sourav Mishra, Toshihiko Yamasaki:
Adversarial Training Time Attack Against Discriminative and Generative Convolutional Models. IEEE Access 9: 109241-109259 (2021) - [j44]Dichao Liu, Toshihiko Yamasaki, Yu Wang, Kenji Mase, Jien Kato:
TML: A Triple-Wise Multi-Task Learning Framework for Distracted Driver Recognition. IEEE Access 9: 125955-125969 (2021) - [j43]Priyanto Hidayatullah, Xueting Wang, Toshihiko Yamasaki, Tati Latifah Rajab Mengko, Rinaldi Munir, Anggraini Barlian, Eros Sukmawati, Supraptono Supraptono:
DeepSperm: A robust and real-time bull sperm-cell detection in densely populated semen videos. Comput. Methods Programs Biomed. 209: 106302 (2021) - [j42]Sourav Mishra, Subhajit Chaudhury, Hideaki Imaizumi, Toshihiko Yamasaki:
Robustness of Deep Learning Models in Dermatological Evaluation: A Critical Assessment. IEICE Trans. Inf. Syst. 104-D(3): 419-429 (2021) - [j41]Yusuke Hara, Xueting Wang, Toshihiko Yamasaki:
Video Inpainting by Frame Alignment with Deformable Convolution. IEICE Trans. Inf. Syst. 104-D(8): 1349-1358 (2021) - [j40]Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Tatsuaki Hashimoto:
Image inpainting using frequency-domain priors. J. Electronic Imaging 30(2): 023016 (2021) - [j39]Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Tatsuaki Hashimoto:
Toward Better Planetary Surface Exploration by Orbital Imagery Inpainting. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 175-189 (2021) - [j38]Naoto Inoue, Toshihiko Yamasaki:
Learning From Synthetic Shadows for Shadow Detection and Removal. IEEE Trans. Circuits Syst. Video Technol. 31(11): 4187-4197 (2021) - [j37]Li Tao, Xueting Wang, Toshihiko Yamasaki:
Rethinking Motion Representation: Residual Frames With 3D ConvNets. IEEE Trans. Image Process. 30: 9231-9244 (2021) - [c202]Xiao Wang, Zheng Wang, Toshihiko Yamasaki, Wenjun Zeng:
Very Important Person Localization in Unconstrained Conditions: A New Benchmark. AAAI 2021: 2809-2816 - [c201]Mantaro Yamada, Xueting Wang, Toshihiko Yamasaki:
Graph Structure Extraction from Floor Plan Images and Its Application to Similar Property Retrieval. ICCE 2021: 1-5 - [c200]Pengyu Xie, Xin Xu, Zheng Wang, Toshihiko Yamasaki:
Unsupervised Video Person Re-Identification via Noise and Hard Frame Aware Clustering. ICME 2021: 1-6 - [c199]Xixi Li, Ruimin Hu, Zheng Wang, Toshihiko Yamasaki:
Location Predicts You: Location Prediction via Bi-direction Speculation and Dual-level Association. IJCAI 2021: 529-536 - [c198]Tetsu Kasanishi, Xueting Wang, Toshihiko Yamasaki:
Edge-Level Explanations for Graph Neural Networks by Extending Explainability Methods for Convolutional Neural Networks. ISM 2021: 249-252 - [c197]Yusuke Kondo, Xueting Wang, Hiroyuki Seshime, Toshihiko Yamasaki:
Sequential Banner Design Optimization with Deep Reinforcement Learning. ISM 2021: 253-256 - [c196]Youiti Kado, Takashi Hirokata, Koji Matsumura, Xueting Wang, Toshihiko Yamasaki:
Entity Resolution of Japanese Apartment Property Information Using Neural Networks. MIPR 2021: 277-282 - [c195]Mantaro Yamada, Xueting Wang, Toshihiko Yamasaki:
Preference Analysis of Shopping Malls' Followers and Keyword Recommendation on Twitter. MIPR 2021: 293-298 - [c194]Atsushi Takada, Xueting Wang, Toshihiko Yamasaki:
Color-Grayscale-Pair Image Sentiment Dataset and Its Application to Sentiment-Driven Image Color Conversion. MMArt&ACM@ICMR 2021: 2-7 - [c193]Yiwei Zhang, Toshihiko Yamasaki:
Style-Aware Image Recommendation for Social Media Marketing. ACM Multimedia 2021: 3106-3114 - [c192]Li Tao, Xueting Wang, Toshihiko Yamasaki, Jingjing Chen, Steven Hicks:
Reproducibility Companion Paper: Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework. ACM Multimedia 2021: 3630-3632 - [i34]Naoto Inoue, Toshihiko Yamasaki:
Learning from Synthetic Shadows for Shadow Detection and Removal. CoRR abs/2101.01713 (2021) - [i33]Pengyu Xie, Xin Xu, Zheng Wang, Toshihiko Yamasaki:
Unsupervised Video Person Re-identification via Noise and Hard frame Aware Clustering. CoRR abs/2106.05441 (2021) - [i32]Xixi Li, Ruimin Hu, Zheng Wang, Toshihiko Yamasaki:
Location Prediction via Bi-direction Speculation and Dual-level Association. CoRR abs/2106.15070 (2021) - [i31]Tetsu Kasanishi, Xueting Wang, Toshihiko Yamasaki:
Edge-Level Explanations for Graph Neural Networks by Extending Explainability Methods for Convolutional Neural Networks. CoRR abs/2111.00722 (2021) - 2020
- [j36]Naoto Inoue, D. Ito, Yannick Hold-Geoffroy, Long Mai, Brian L. Price, Toshihiko Yamasaki:
RGB2AO: Ambient Occlusion Generation from RGB Images. Comput. Graph. Forum 39(2): 451-462 (2020) - [j35]Naoki Kato, Toshihiko Yamasaki, Kiyoharu Aizawa, Takemi Ohama:
Users' Preference Prediction of Real Estate Properties Based on Floor Plan Analysis. IEICE Trans. Inf. Syst. 103-D(2): 398-405 (2020) - [j34]Shengzhou Yi, Koshiro Mochitomi, Isao Suzuki, Xueting Wang, Toshihiko Yamasaki:
Attention-Based Multimodal Neural Network for Automatic Evaluation of Press Conferences. Int. J. Multim. Data Eng. Manag. 11(3): 1-19 (2020) - [j33]Bohui Xia, Hiroyuki Seshime, Xueting Wang, Toshihiko Yamasaki:
Click-Through Rate Prediction of Online Banners Featuring Multimodal Analysis. Int. J. Semantic Comput. 14(1): 71-91 (2020) - [j32]Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki:
PixelRL: Fully Convolutional Network With Reinforcement Learning for Image Processing. IEEE Trans. Multim. 22(7): 1704-1719 (2020) - [c191]Satoshi Kosugi, Toshihiko Yamasaki:
Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software. AAAI 2020: 11296-11303 - [c190]Shengzhou Yi, Hiroshi Yumoto, Xueting Wang, Toshihiko Yamasaki:
PresentationTrainer: Oral Presentation Support System for Impression-Related Feedback. AAAI 2020: 13644-13645 - [c189]Yusuke Kondo, Takafumi Sakura, Toshihiko Yamasaki:
Text-to-Clipart using AttnGAN. BigMM 2020: 282-286 - [c188]Cairong Zhang, Guijin Wang, Xinghao Chen, Pengwei Xie, Toshihiko Yamasaki:
Weakly Supervised Segmentation Guided Hand Pose Estimation During Interaction with Unknown Objects. ICASSP 2020: 2673-2677 - [c187]Subhajit Chaudhury, Toshihiko Yamasaki:
Investigating Generalization in Neural Networks Under Optimally Evolved Training Perturbations. ICASSP 2020: 3617-3612 - [c186]Li Tao, Xueting Wang, Toshihiko Yamasaki:
Motion Representation Using Residual Frames with 3D CNN. ICIP 2020: 1786-1790 - [c185]Jun Ikeda, Hiroyuki Seshime, Xueting Wang, Toshihiko Yamasaki:
Predicting Online Video Advertising Effects with Multimodal Deep Learning. ICPR 2020: 2995-3002 - [c184]Ryosuke Furuta, Naoaki Noguchi, Xueting Wang, Toshihiko Yamasaki:
Feature Point Matching in Cross-Spectral Images with Cycle Consistency Learning. ICPR 2020: 3759-3766 - [c183]Shengzhou Yi, Koshiro Mochitomi, Isao Suzuki, Xueting Wang, Toshihiko Yamasaki:
Attention-Based LSTM for Automatic Evaluation of Press Conferences. MIPR 2020: 187-192 - [c182]Yuto Nakamae, Xueting Wang, Toshihiko Yamasaki:
Recommendations for Attractive Hairstyles. MMArt&ACM@ICMR 2020: 19-24 - [c181]Akari Shimono, Yuki Kakui, Toshihiko Yamasaki:
Automatic YouTube-Thumbnail Generation and Its Evaluation. MMArt&ACM@ICMR 2020: 25-30 - [c180]Wei-Ta Chu, Ichiro Ide, Naoko Nitta, Norimichi Tsumura, Toshihiko Yamasaki:
MMArt-ACM'20: International Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia 2020. ICMR 2020: 582-583 - [c179]Toshihiko Yamasaki:
Session details: Multimedia Artworks Analysis. MMArt&ACM@ICMR 2020 - [c178]Nobukatsu Kajiura, Satoshi Kosugi, Xueting Wang, Toshihiko Yamasaki:
Self-Play Reinforcement Learning for Fast Image Retargeting. ACM Multimedia 2020: 1755-1763 - [c177]Li Tao, Xueting Wang, Toshihiko Yamasaki:
Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework. ACM Multimedia 2020: 2193-2201 - [c176]Xueting Wang, Yiwei Zhang, Toshihiko Yamasaki:
Earn More Social Attention: User Popularity Based Tag Recommendation System. WWW (Companion Volume) 2020: 212-216 - [e7]Wei-Ta Chu, Ichiro Ide, Naoko Nitta, Norimichi Tsumura, Toshihiko Yamasaki:
Proceedings of the 2020 Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia, MMArt&ACM 2020, Dublin, Ireland, June 8, 2020. ACM 2020, ISBN 978-1-4503-7137-7 [contents] - [i30]Yiwei Zhang, Xueting Wang, Yoshiaki Sakai, Toshihiko Yamasaki:
Measuring Similarity between Brands using Followers' Post in Social Media. CoRR abs/2001.03353 (2020) - [i29]Li Tao, Xueting Wang, Toshihiko Yamasaki:
Rethinking Motion Representation: Residual Frames with 3D ConvNets for Better Action Recognition. CoRR abs/2001.05661 (2020) - [i28]Yiyan Chen, Li Tao, Xueting Wang, Toshihiko Yamasaki:
Weakly Supervised Video Summarization by Hierarchical Reinforcement Learning. CoRR abs/2001.05864 (2020) - [i27]Sourav Mishra, Subhajit Chaudhury, Hideaki Imaizumi, Toshihiko Yamasaki:
Assessing Robustness of Deep learning Methods in Dermatological Workflow. CoRR abs/2001.05878 (2020) - [i26]Priyanto Hidayatullah, Xueting Wang, Toshihiko Yamasaki, Tati Latifah Rajab Mengko, Rinaldi Munir, Anggraini Barlian, Eros Sukmawati, Supraptono Supraptono:
DeepSperm: A robust and real-time bull sperm-cell detection in densely populated semen videos. CoRR abs/2003.01395 (2020) - [i25]Subhajit Chaudhury, Toshihiko Yamasaki:
Investigating Generalization in Neural Networks under Optimally Evolved Training Perturbations. CoRR abs/2003.06646 (2020) - [i24]Li Tao, Xueting Wang, Toshihiko Yamasaki:
Motion Representation Using Residual Frames with 3D CNN. CoRR abs/2006.13017 (2020) - [i23]Lijie Wang, Xueting Wang, Toshihiko Yamasaki:
Image Aesthetics Prediction Using Multiple Patches Preserving the Original Aspect Ratio of Contents. CoRR abs/2007.02268 (2020) - [i22]Li Tao, Xueting Wang, Toshihiko Yamasaki:
Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework. CoRR abs/2008.02531 (2020) - [i21]Nobukatsu Kajiura, Satoshi Kosugi, Xueting Wang, Toshihiko Yamasaki:
Self-Play Reinforcement Learning for Fast Image Retargeting. CoRR abs/2010.00909 (2020) - [i20]Li Tao, Xueting Wang, Toshihiko Yamasaki:
Self-Supervised Video Representation Using Pretext-Contrastive Learning. CoRR abs/2010.15464 (2020) - [i19]Zheng Wang, Xin Yuan, Toshihiko Yamasaki, Yutian Lin, Xin Xu, Wenjun Zeng:
Re-identification = Retrieval + Verification: Back to Essence and Forward with a New Metric. CoRR abs/2011.11506 (2020) - [i18]Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Tatsuaki Hashimoto:
Image inpainting using frequency domain priors. CoRR abs/2012.01832 (2020) - [i17]Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki:
Sparse Fooling Images: Fooling Machine Perception through Unrecognizable Images. CoRR abs/2012.03843 (2020) - [i16]Jun Ikeda, Hiroyuki Seshime, Xueting Wang, Toshihiko Yamasaki:
Predicting Online Video Advertising Effects with Multimodal Deep Learning. CoRR abs/2012.11851 (2020)
2010 – 2019
- 2019
- [j31]Naoto Inoue, D. Ito, Ning Xu, J. Yang, Brian L. Price, Toshihiko Yamasaki:
Learning to Trace: Expressive Line Drawing Generation from Photographs. Comput. Graph. Forum 38(7): 69-80 (2019) - [j30]Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki:
Efficient and interactive spatial-semantic image retrieval. Multim. Tools Appl. 78(13): 18713-18733 (2019) - [c175]Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki:
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing. AAAI 2019: 3598-3605 - [c174]Bohui Xia, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa, Hiroyuki Seshime:
Deep Neural Network-Based Click-Through Rate Prediction using Multimodal Features of Online Banners. BigMM 2019: 162-170 - [c173]Shengzhou Yi, Xueting Wang, Toshihiko Yamasaki:
Impression Prediction of Oral Presentation Using LSTM and Dot-Product Attention Mechanism. BigMM 2019: 242-246 - [c172]Naoto Inoue, Toshihiko Yamasaki:
Fast Instance Segmentation for Line Drawing Vectorization. BigMM 2019: 262-265 - [c171]Shinji Oyama, Toshihiko Yamasaki:
Visual Clarity Analysis and Improvement Support for Presentation Slides. BigMM 2019: 421-428 - [c170]Lijie Wang, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa:
Aspect-Ratio-Preserving Multi-Patch Image Aesthetics Score Prediction. CVPR Workshops 2019: 1833-1842 - [c169]Sourav Mishra, Hideaki Imaizumi, Toshihiko Yamasaki:
Interpreting Fine-Grained Dermatological Classification by Deep Learning. CVPR Workshops 2019: 2729-2737 - [c168]Taro Narahara, Toshihiko Yamasaki:
A Preliminary Study on Attractiveness Analysis of Real Estate Floor Plans. GCCE 2019: 445-446 - [c167]Yuan Lin, Shimpei Nomura, Yoichi Ikemoto, Yuki Obuchi, Xueting Wang, Toshihiko Yamasaki, Ryoma Kitagaki, Satoshi Toriumi, Mikihisa Hayashi, Ai Sakai, Nobuhito Haga:
Real Estate Evaluation on Thermal Diffusivity with IoT Sensors. GCCE 2019: 447-448 - [c166]Satoshi Kosugi, Toshihiko Yamasaki, Kiyoharu Aizawa:
Object-Aware Instance Labeling for Weakly Supervised Object Detection. ICCV 2019: 6063-6071 - [c165]Naoki Kato, Toshihiko Yamasaki, Kiyoharu Aizawa:
Zero-Shot Semantic Segmentation via Variational Mapping. ICCV Workshops 2019: 1363-1370 - [c164]Shuntaro Miyazato, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa:
Reinforcing the Robustness of a Deep Neural Network to Adversarial Examples by Using Color Quantization of Training Image Data. ICIP 2019: 884-888 - [c163]Xueting Wang, Yuki Takada, Youiti Kado, Toshihiko Yamasaki:
Predicting the Attractiveness of Real-Estate Images by Pairwise Comparison using Deep Learning. ICME Workshops 2019: 84-89 - [c162]Shengzhou Yi, Xueting Wang, Toshihiko Yamasaki:
Emotion and Theme Recognition of Music Using Convolutional Neural Networks. MediaEval 2019 - [c161]Xueting Wang, Yiwei Zhang, Toshihiko Yamasaki:
User-Aware Folk Popularity Rank: User-Popularity-Based Tag Recommendation That Can Enhance Social Popularity. ACM Multimedia 2019: 1970-1978 - [c160]Yiyan Chen, Li Tao, Xueting Wang, Toshihiko Yamasaki:
Weakly Supervised Video Summarization by Hierarchical Reinforcement Learning. MMAsia 2019: 3:1-3:6 - [c159]Toshihiko Yamasaki:
Session details: Multimedia Service. MMAsia 2019 - [c158]Yiwei Zhang, Xueting Wang, Yoshiaki Sakai, Toshihiko Yamasaki:
Measuring Similarity between Brands using Followers' Post in Social Media. MMAsia 2019: 6:1-6:6 - [c157]Luwei Zhang, Xueting Wang, Toshihiko Yamasaki:
Deep Feature Interaction Embedding for Pair Matching Prediction. MMAsia 2019: 46:1-46:6 - [c156]Sourav Mishra, Toshihiko Yamasaki, Hideaki Imaizumi:
Improving image classifiers for small datasets by learning rate adaptations. MVA 2019: 1-6 - [c155]Yuan Lin, Yuki Obuchi, Xueting Wang, Toshihiko Yamasaki, Satoshi Toriumi, Mikihisa Hayashi, Sachiko Nozawa, Midori Takahashi, Toshihiko Endo, Kiyomi Akita:
Human Tracking for Children Behavior Analysis in Nursery Schools. SITIS 2019: 209-216 - [i15]Sourav Mishra, Toshihiko Yamasaki, Hideaki Imaizumi:
Improving image classifiers for small datasets by learning rate adaptations. CoRR abs/1903.10726 (2019) - [i14]Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Danielle DeLatte, Makiko Ohtake, Tatsuaki Hashimoto:
Lunar surface image restoration using U-net based deep neural networks. CoRR abs/1904.06683 (2019) - [i13]Satoshi Kosugi, Toshihiko Yamasaki, Kiyoharu Aizawa:
Object-Aware Instance Labeling for Weakly Supervised Object Detection. CoRR abs/1908.03792 (2019) - [i12]Xueting Wang, Yiwei Zhang, Toshihiko Yamasaki:
User-Aware Folk Popularity Rank: User-Popularity-Based Tag Recommendation That Can Enhance Social Popularity. CoRR abs/1910.09307 (2019) - [i11]Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki:
PixelRL: Fully Convolutional Network with Reinforcement Learning for Image Processing. CoRR abs/1912.07190 (2019) - [i10]Satoshi Kosugi, Toshihiko Yamasaki:
Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software. CoRR abs/1912.07833 (2019) - 2018
- [j29]Masafumi Yamamoto, Yuguan Xing, Toshihiko Yamasaki, Kiyoharu Aizawa:
An unsupervised service annotation by review analysis. Int. J. Big Data Intell. 5(1/2): 73-89 (2018) - [j28]Litian Sun, Toshihiko Yamasaki, Kiyoharu Aizawa:
Photo aesthetic quality estimation using visual complexity features. Multim. Tools Appl. 77(5): 5189-5213 (2018) - [j27]Ryosuke Furuta, Satoshi Ikehata, Toshihiko Yamasaki, Kiyoharu Aizawa:
Efficiency-enhanced cost-volume filtering featuring coarse-to-fine strategy. Multim. Tools Appl. 77(10): 12469-12491 (2018) - [j26]Ryosuke Furuta, Ikuko Tsubaki, Toshihiko Yamasaki:
Fast Volume Seam Carving With Multipass Dynamic Programming. IEEE Trans. Circuits Syst. Video Technol. 28(5): 1087-1101 (2018) - [j25]Yusuke Matsui, Toshihiko Yamasaki, Kiyoharu Aizawa:
PQTable: Nonexhaustive Fast Search for Product-Quantized Codes Using Hash Tables. IEEE Trans. Multim. 20(7): 1809-1822 (2018) - [c154]Masaya Kaneko, Kazuya Iwami, Toru Ogawa, Toshihiko Yamasaki, Kiyoharu Aizawa:
Mask-SLAM: Robust Feature-Based Monocular SLAM by Masking Using Semantic Segmentation. CVPR Workshops 2018: 258-266 - [c153]Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa:
Local and Global Optimization Techniques in Graph-Based Clustering. CVPR 2018: 3456-3464 - [c152]Naoto Inoue, Ryosuke Furuta, Toshihiko Yamasaki, Kiyoharu Aizawa:
Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation. CVPR 2018: 5001-5009 - [c151]Daiki Tanaka, Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa:
Joint Optimization Framework for Learning With Noisy Labels. CVPR 2018: 5552-5560 - [c150]Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa:
Fast and Robust Estimation for Unit-Norm Constrained Linear Fitting Problems. CVPR 2018: 8147-8155 - [c149]Shunsuke Nakamura, Toshihiko Yamasaki, Kiyoharu Aizawa, Yusuke Ishikawa:
Prediction of the time to pregnancy by kernel density estimation on lifestyle questionnaire. ICCE 2018: 1-6 - [c148]Yuki Obuchi, Toshihiko Yamasaki, Kiyoharu Aizawa, Satoshi Toriumi, Mikihisa Hayashi:
Measurement and evaluation of comfort levels of apartments using IoT sensors. ICCE 2018: 1-6 - [c147]Yuki Takada, Naoto Inoue, Toshihiko Yamasaki, Kiyoharu Aizawa:
Similar floor plan retrieval featuring multi-task learning of layout type classification and room presence prediction. ICCE 2018: 1-6 - [c146]Yiwei Zhang, Jiani Hu, Shumpei Sano, Toshihiko Yamasaki, Kiyoharu Aizawa:
Computer Vision Based and FPRank Based Tag Recommendation for Social Popularity Enhancement. IUI Companion 2018: 3:1-3:2 - [c145]Toshihiko Yamasaki, Jin Zhang, Yuki Takada:
Apartment Structure Estimation Using Fully Convolutional Networks and Graph Model. RETech@ICMR 2018: 1-6 - [c144]Naoki Kato, Toshihiko Yamasaki, Kiyoharu Aizawa, Takemi Ohama:
Users' Preference Prediction of Real Estates Featuring Floor Plan Analysis using FloorNet. RETech@ICMR 2018: 7-11 - [c143]Sijie Shen, Toshihiko Yamasaki, Michi Sato, Kenji Kajiwara:
Photo Selection for Family Album using Deep Neural Networks. MMArt&ACM@ICMR 2018: 8-13 - [c142]Hiya Roy, Toshihiko Yamasaki, Tatsuaki Hashimoto:
Predicting Image Aesthetics using Objects in the Scene. MMArt&ACM@ICMR 2018: 14-19 - [c141]Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki:
Efficient and Interactive Spatial-Semantic Image Retrieval. MMM (1) 2018: 190-202 - [c140]Koki Tsubota, Toru Ogawa, Toshihiko Yamasaki, Kiyoharu Aizawa:
Adaptation of manga face representation for accurate clustering. SIGGRAPH ASIA Posters 2018: 15:1-15:2 - [c139]Supatta Viriyavisuthisakul, Parinya Sanguansat, Toshihiko Yamasaki:
Water Hyacinth Segmentation for Aquatic Weed Elimination in Thailand. SITIS 2018: 253-257 - [e6]Wei-Ta Chu, Norimichi Tsumura, Toshihiko Yamasaki, Takaaki Shiratori, Hideto Motomura:
Proceedings of the 2018 International Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia, MMArt&ACM@ICMR 2018, Yokohama, Japan, June 11, 2018. ACM 2018 [contents] - [e5]Yoji Kiyota, Toshihiko Yamasaki, Chihiro Shimizu, Hirohiko Suwa, Yutaka Arakawa, Ryoma Kitagaki, Shimpei Nomura:
Proceedings of the 2018 ACM Workshop on Multimedia for Real Estate Tech, RETech@ICMR 2018, Yokohama, Japan, June 11, 2018. ACM 2018 [contents] - [e4]Richang Hong, Wen-Huang Cheng, Toshihiko Yamasaki, Meng Wang, Chong-Wah Ngo:
Advances in Multimedia Information Processing - PCM 2018 - 19th Pacific-Rim Conference on Multimedia, Hefei, China, September 21-22, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11164, Springer 2018, ISBN 978-3-030-00775-1 [contents] - [e3]Richang Hong, Wen-Huang Cheng, Toshihiko Yamasaki, Meng Wang, Chong-Wah Ngo:
Advances in Multimedia Information Processing - PCM 2018 - 19th Pacific-Rim Conference on Multimedia, Hefei, China, September 21-22, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11165, Springer 2018, ISBN 978-3-030-00766-9 [contents] - [e2]