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2020 – today
- 2023
[j55]Luwei Zhang
, Xueting Wang, Toshihiko Yamasaki:
Graph Fusion in Reciprocal Recommender Systems. IEEE Access 11: 8860-8869 (2023)- [j54]Lijie Wang, Xueting Wang, Toshihiko Yamasaki:
Image aesthetics prediction using multiple patches preserving the original aspect ratio of contents. Multim. Tools Appl. 82(2): 2783-2804 (2023) - [j53]Dichao Liu, Toshihiko Yamasaki, Yu Wang, Kenji Mase, Jien Kato:
Toward Extremely Lightweight Distracted Driver Recognition With Distillation-Based Neural Architecture Search and Knowledge Transfer. IEEE Trans. Intell. Transp. Syst. 24(1): 764-777 (2023) - [i47]Ling Xiao, Toshihiko Yamasaki:
Attribute-Guided Multi-Level Attention Network for Fine-Grained Fashion Retrieval. CoRR abs/2301.13014 (2023) - [i46]Dichao Liu, Toshihiko Yamasaki, Yu Wang, Kenji Mase, Jien Kato:
Toward Extremely Lightweight Distracted Driver Recognition With Distillation-Based Neural Architecture Search and Knowledge Transfer. CoRR abs/2302.04527 (2023) - [i45]Maorong Wang, Ling Xiao, Toshihiko Yamasaki:
MetaMixer: A Regularization Strategy for Online Knowledge Distillation. CoRR abs/2303.07951 (2023) - 2022
- [j52]Shengzhou Yi, Junichiro Matsugami, Toshihiko Yamasaki:
Assessment System of Presentation Slide Design Using Visual and Structural Features. IEICE Trans. Inf. Syst. 105-D(3): 587-596 (2022) - [j51]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) - [j50]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) - [j49]Xueting Wang, Yiyan Chen, Toshihiko Yamasaki:
Spatially adaptive multi-scale contextual attention for image inpainting. Multim. Tools Appl. 81(22): 31831-31846 (2022) - [j48]Li Tao, Xueting Wang, Toshihiko Yamasaki:
An Improved Inter-Intra Contrastive Learning Framework on Self-Supervised Video Representation. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5266-5280 (2022) - [j47]Pengyu Xie, Xin Xu, Zheng Wang, Toshihiko Yamasaki:
Sampling and Re-Weighting: Towards Diverse Frame Aware Unsupervised Video Person Re-Identification. IEEE Trans. Multim. 24: 4250-4261 (2022) - [c209]Jianbo Wang, Huan Yang, Jianlong Fu, Toshihiko Yamasaki, Baining Guo:
Fine-Grained Image Style Transfer with Visual Transformers. ACCV (3) 2022: 427-443 - [c208]Lang Huang, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Toshihiko Yamasaki:
Learning Where to Learn in Cross-View Self-Supervised Learning. CVPR 2022: 14431-14440 - [c207]Kaede Shiohara, Toshihiko Yamasaki:
Detecting Deepfakes with Self-Blended Images. CVPR 2022: 18699-18708 - [c206]Koyu Mizutani, Haruki Mitarai, Kakeru Miyazaki, Ryugo Shimamura, Soichiro Kumano, Toshihiko Yamasaki:
Prediction of Seismic Intensity Distributions Using Neural Networks. GCCE 2022: 424-425 - [c205]Ling Xiao, Toshihiko Yamasaki:
Sat: Self-Adaptive Training for Fashion Compatibility Prediction. ICIP 2022: 2431-2435 - [c204]Koki Mukai, Soichiro Kumano, Toshihiko Yamasaki:
Improving Robustness to out-of-Distribution Data by Frequency-Based Augmentation. ICIP 2022: 3116-3120 - [c203]Ryota Kitabayashi, Taro Narahara, Toshihiko Yamasaki:
Graph Neural Network Based Living Comfort Prediction Using Real Estate Floor Plan Images. MMAsia 2022: 34:1-34:5 - [i44]Taro Narahara, Toshihiko Yamasaki:
Subjective Functionality and Comfort Prediction for Apartment Floor Plans and Its Application to Intuitive Searches. CoRR abs/2202.12799 (2022) - [i43]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) - [i42]Kaede Shiohara, Toshihiko Yamasaki:
Detecting Deepfakes with Self-Blended Images. CoRR abs/2204.08376 (2022) - [i41]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) - [i40]Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki:
Superclass Adversarial Attack. CoRR abs/2205.14629 (2022) - [i39]Ling Xiao, Toshihiko Yamasaki:
SAT: Self-adaptive training for fashion compatibility prediction. CoRR abs/2206.12622 (2022) - [i38]Koyu Mizutani, Haruki Mitarai, Kakeru Miyazaki, Ryugo Shimamura, Soichiro Kumano, Toshihiko Yamasaki:
Prediction of Seismic Intensity Distributions Using Neural Networks. CoRR abs/2208.07565 (2022) - [i37]Koki Mukai, Soichiro Kumano, Toshihiko Yamasaki:
Improving Robustness to Out-of-Distribution Data by Frequency-based Augmentation. CoRR abs/2209.02369 (2022) - [i36]Jianbo Wang, Huan Yang, Jianlong Fu, Toshihiko Yamasaki, Baining Guo:
Fine-Grained Image Style Transfer with Visual Transformers. CoRR abs/2210.05176 (2022) - [i35]Ling Xiao, Toshihiko Yamasaki:
Semi-supervised Fashion Compatibility Prediction by Color Distortion Prediction. CoRR abs/2212.14680 (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]