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Toshihiko Yamasaki
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2020 – today
- 2024
- [j69]Michihiro Kuroki, Toshihiko Yamasaki:
Fast Explanation Using Shapley Value for Object Detection. IEEE Access 12: 31047-31054 (2024) - [j68]Ling Xiao, Toshihiko Yamasaki:
Attribute-Guided Multi-Level Attention Network for Fine-Grained Fashion Retrieval. IEEE Access 12: 48068-48080 (2024) - [j67]Michihiro Kuroki, Toshihiko Yamasaki:
BSED: Baseline Shapley-Based Explainable Detector. IEEE Access 12: 57959-57973 (2024) - [j66]Li Tao, Shunsuke Nakamura, Xueting Wang, Tatsuya Kawahara, Gen Tamura, Toshihiko Yamasaki:
A large-scale television advertising dataset for detailed impression analysis. Multim. Tools Appl. 83(7): 18779-18802 (2024) - [j65]Tomoyuki Hatakeyama, Xueting Wang, Toshihiko Yamasaki:
Transferability prediction among classification and regression tasks using optimal transport. Multim. Tools Appl. 83(9): 25105-25119 (2024) - [j64]Satoshi Kosugi, Toshihiko Yamasaki:
Personalized Image Enhancement Featuring Masked Style Modeling. IEEE Trans. Circuits Syst. Video Technol. 34(1): 140-152 (2024) - [c233]Shengzhou Yi, Toshiaki Kikuchi, Toshihiko Yamasaki:
Conversation Analysis of Remote Dialogue System for Mental Health Interventions. AIiH (1) 2024: 278-291 - [c232]Jianbo Wang, Heliang Zheng, Toshihiko Yamasaki:
Reference-based GAN Evaluation by Adaptive Inversion. CVPR Workshops 2024: 910-918 - [c231]Kaede Shiohara, Toshihiko Yamasaki:
Face2Diffusion for Fast and Editable Face Personalization. CVPR 2024: 6850-6859 - [c230]Maorong Wang, Nicolas Michel, Ling Xiao, Toshihiko Yamasaki:
Improving Plasticity in Online Continual Learning via Collaborative Learning. CVPR 2024: 23460-23469 - [c229]Zerun Wang, Liuyu Xiang, Lang Huang, Jiafeng Mao, Ling Xiao, Toshihiko Yamasaki:
SCOMatch: Alleviating Overtrusting in Open-Set Semi-supervised Learning. ECCV (51) 2024: 217-233 - [c228]Subhajit Chaudhury, Toshihiko Yamasaki:
Adversarial Robustness of Convolutional Models Learned in the Frequency Domain. ICASSP 2024: 7455-7459 - [c227]Sho Hattori, Youiti Kado, Koji Matsumura, Toshihiko Yamasaki:
Stable Diffusion for Furniture Placement with Preserved Room Layout in Home Staging. ICCE 2024: 1-6 - [c226]Supatta Viriyavisuthisakul, Parinya Sanguansat, Toshihiko Yamasaki:
A Comprehensive Study of Scene Text Recognition in Scene Text Image Super-Resolution with Parametric Frameworks. ICCE 2024: 1-6 - [c225]Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki:
Theoretical Understanding of Learning from Adversarial Perturbations. ICLR 2024 - [c224]Nicolas Michel, Maorong Wang, Ling Xiao, Toshihiko Yamasaki:
Rethinking Momentum Knowledge Distillation in Online Continual Learning. ICML 2024 - [c223]Hiromasa Yamanishi, Ling Xiao, Toshihiko Yamasaki:
HetSpot: Analyzing Tourist Spot Popularity with Heterogeneous Graph Neural Network. IVSP 2024: 111-120 - [c222]Sora Suegami, Yutaro Oguri, Zaiying Zhao, Yu Kagaya, Toshihiko Yamasaki:
Self-examination Mechanism: Improving Standard Accuracy in Adversarial Purification. IVSP 2024: 200-206 - [c221]Supatta Viriyavisuthisakul, Parinya Sanguansat, Toshihiko Yamasaki:
A Web Demo Interface for Super-Resolution Reconstruction with Parametric Regularization Loss. ICMR 2024: 1251-1254 - [c220]Shengzhou Yi, Junichiro Matsugami, Takuya Yamamoto, Toshihiko Yamasaki:
Enhancing Speaking and Slide Design Skills with Deep Learning: An Online Presentation Assessment System. ACM Multimedia 2024: 11282-11284 - [c219]Xiaotong Ye, Ling Xiao, Chi Zhang, Toshihiko Yamasaki:
E-ReaRev: Adaptive Reasoning for Question Answering over Incomplete Knowledge Graphs by Edge and Meaning Extensions. NLDB (2) 2024: 85-95 - [i63]Koyu Mizutani, Haruki Mitarai, Kakeru Miyazaki, Soichiro Kumano, Toshihiko Yamasaki:
Data-Driven Prediction of Seismic Intensity Distributions Featuring Hybrid Classification-Regression Models. CoRR abs/2402.02150 (2024) - [i62]Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki:
Theoretical Understanding of Learning from Adversarial Perturbations. CoRR abs/2402.10470 (2024) - [i61]Kaede Shiohara, Toshihiko Yamasaki:
Face2Diffusion for Fast and Editable Face Personalization. CoRR abs/2403.05094 (2024) - [i60]Tomoya Sugihara, Shuntaro Masuda, Ling Xiao, Toshihiko Yamasaki:
Language-Guided Self-Supervised Video Summarization Using Text Semantic Matching Considering the Diversity of the Video. CoRR abs/2405.08890 (2024) - [i59]Zerun Wang, Jiafeng Mao, Liuyu Xiang, Toshihiko Yamasaki:
From Obstacle to Opportunity: Enhancing Semi-supervised Learning with Synthetic Data. CoRR abs/2405.16930 (2024) - [i58]Zaiying Zhao, Soichiro Kumano, Toshihiko Yamasaki:
Language-guided Detection and Mitigation of Unknown Dataset Bias. CoRR abs/2406.02889 (2024) - [i57]Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Yueqian Lin, Qing Yu, Go Irie, Shafiq Joty, Yixuan Li, Hai Li, Ziwei Liu, Toshihiko Yamasaki, Kiyoharu Aizawa:
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey. CoRR abs/2407.21794 (2024) - [i56]Zerun Wang, Liuyu Xiang, Lang Huang, Jiafeng Mao, Ling Xiao, Toshihiko Yamasaki:
SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning. CoRR abs/2409.17512 (2024) - [i55]Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki:
Wide Two-Layer Networks can Learn from Adversarial Perturbations. CoRR abs/2410.23677 (2024) - 2023
- [j63]Luwei Zhang, Xueting Wang, Toshihiko Yamasaki:
Graph Fusion in Reciprocal Recommender Systems. IEEE Access 11: 8860-8869 (2023) - [j62]Toshihiko Yamasaki:
Attractiveness Computing in Image Media. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 106(9): 1196-1201 (2023) - [j61]Jianbo Wang, Hao-Zhi Huang, Li Shen, Xuan Wang, Toshihiko Yamasaki:
Hierarchical Detailed Intermediate Supervision for Image-to-Image Translation. IEICE Trans. Inf. Syst. 106(12): 2085-2096 (2023) - [j60]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) - [j59]Yiwei Zhang, Xueting Wang, Toshihiko Yamasaki:
Which account will you follow? Recommending influential accounts on social media. Multim. Tools Appl. 82(22): 34053-34074 (2023) - [j58]Supatta Viriyavisuthisakul, Parinya Sanguansat, Teeradaj Racharak, Nguyen Le Minh, Natsuda Kaothanthong, Choochart Haruechaiyasak, Toshihiko Yamasaki:
Parametric loss-based super-resolution for scene text recognition. Mach. Vis. Appl. 34(4): 61 (2023) - [j57]Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki:
Sparse fooling images: Fooling machine perception through unrecognizable images. Pattern Recognit. Lett. 172: 259-265 (2023) - [j56]Satoshi Kosugi, Toshihiko Yamasaki:
Crowd-Powered Photo Enhancement Featuring an Active Learning Based Local Filter. IEEE Trans. Circuits Syst. Video Technol. 33(7): 3145-3158 (2023) - [j55]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) - [j54]Taro Narahara, Toshihiko Yamasaki:
Subjective Functionality and Comfort Prediction for Apartment Floor Plans and Its Application to Intuitive Online Property Search. IEEE Trans. Multim. 25: 6729-6742 (2023) - [c218]Shengzhou Yi, Junichiro Matsugami, Hiroshi Yumoto, Toshihiko Yamasaki:
An Online Presentation Slide Assessment System Using Visual and Semantic Segmentation Features. AAAI 2023: 16494-16496 - [c217]Wataru Iuchi, Kazuaki Harada, Hayato Yunoki, Koki Mukai, Shun Yoshida, Toshihiko Yamasaki:
Face Reenactment with Diffusion Model and Its Application to Video Compression. GCCE 2023: 656-657 - [c216]Maorong Wang, Hao Yu, Ling Xiao, Toshihiko Yamasaki:
Bridging the Capacity Gap for Online Knowledge Distillation. MIPR 2023: 1-4 - [c215]Ling Xiao, Xiaofeng Zhang, Toshihiko Yamasaki:
Toward a More Robust Fine-Grained Fashion Retrieval. MIPR 2023: 1-4 - [c214]Ling Xiao, Xiaofeng Zhang, Toshihiko Yamasaki:
Learning Fashion Compatibility with Color Distortion Prediction. MIPR 2023: 81-84 - [c213]Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki:
Adversarial Training from Mean Field Perspective. NeurIPS 2023 - [c212]Supatta Viriyavisuthisakul, Natsuda Kaothanthong, Parinya Sanguansat, Toshihiko Yamasaki, Dittapong Songsaeng:
Comparative Evaluation of Fixed Windowing Strategies on CT Brain Images Using Multiple Deep Learning Models. SITIS 2023: 196-200 - [c211]Shuntaro Masuda, Toshihiko Yamasaki:
Key Factor Analysis of Influencer Popularity based on Adjective and Emotion in Twitter User Opinions. WI/IAT 2023: 263-267 - [i54]Ling Xiao, Toshihiko Yamasaki:
Attribute-Guided Multi-Level Attention Network for Fine-Grained Fashion Retrieval. CoRR abs/2301.13014 (2023) - [i53]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) - [i52]Maorong Wang, Ling Xiao, Toshihiko Yamasaki:
MetaMixer: A Regularization Strategy for Online Knowledge Distillation. CoRR abs/2303.07951 (2023) - [i51]Zerun Wang, Ling Xiao, Liuyu Xiang, Zhaotian Weng, Toshihiko Yamasaki:
Online Open-set Semi-supervised Object Detection via Semi-supervised Outlier Filtering. CoRR abs/2305.13802 (2023) - [i50]Satoshi Kosugi, Toshihiko Yamasaki:
Crowd-Powered Photo Enhancement Featuring an Active Learning Based Local Filter. CoRR abs/2306.09321 (2023) - [i49]Satoshi Kosugi, Toshihiko Yamasaki:
Personalized Image Enhancement Featuring Masked Style Modeling. CoRR abs/2306.09334 (2023) - [i48]Michihiro Kuroki, Toshihiko Yamasaki:
BSED: Baseline Shapley-Based Explainable Detector. CoRR abs/2308.07490 (2023) - [i47]Nicolas Michel, Giovanni Chierchia, Romain Negrel, Jean-François Bercher, Toshihiko Yamasaki:
New metrics for analyzing continual learners. CoRR abs/2309.00462 (2023) - [i46]Nicolas Michel, Maorong Wang, Ling Xiao, Toshihiko Yamasaki:
Rethinking Momentum Knowledge Distillation in Online Continual Learning. CoRR abs/2309.02870 (2023) - [i45]Maorong Wang, Nicolas Michel, Ling Xiao, Toshihiko Yamasaki:
Improving Plasticity in Online Continual Learning via Collaborative Learning. CoRR abs/2312.00600 (2023) - 2022
- [j53]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) - [j52]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) - [j51]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) - [j50]Xueting Wang, Yiyan Chen, Toshihiko Yamasaki:
Spatially adaptive multi-scale contextual attention for image inpainting. Multim. Tools Appl. 81(22): 31831-31846 (2022) - [j49]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) - [j48]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) - [c210]Jianbo Wang, Huan Yang, Jianlong Fu, Toshihiko Yamasaki, Baining Guo:
Fine-Grained Image Style Transfer with Visual Transformers. ACCV (3) 2022: 427-443 - [c209]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 - [c208]Kaede Shiohara, Toshihiko Yamasaki:
Detecting Deepfakes with Self-Blended Images. CVPR 2022: 18699-18708 - [c207]Koyu Mizutani, Haruki Mitarai, Kakeru Miyazaki, Ryugo Shimamura, Soichiro Kumano, Toshihiko Yamasaki:
Prediction of Seismic Intensity Distributions Using Neural Networks. GCCE 2022: 424-425 - [c206]Ling Xiao, Toshihiko Yamasaki:
Sat: Self-Adaptive Training for Fashion Compatibility Prediction. ICIP 2022: 2431-2435 - [c205]Koki Mukai, Soichiro Kumano, Toshihiko Yamasaki:
Improving Robustness to out-of-Distribution Data by Frequency-Based Augmentation. ICIP 2022: 3116-3120 - [c204]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 - [c203]Lang Huang, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Toshihiko Yamasaki:
Green Hierarchical Vision Transformer for Masked Image Modeling. NeurIPS 2022 - [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
- [j47]Subhajit Chaudhury, Toshihiko Yamasaki:
Robustness of Adaptive Neural Network Optimization Under Training Noise. IEEE Access 9: 37039-37053 (2021) - [j46]Subhajit Chaudhury, Hiya Roy, Sourav Mishra, Toshihiko Yamasaki:
Adversarial Training Time Attack Against Discriminative and Generative Convolutional Models. IEEE Access 9: 109241-109259 (2021) - [j45]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) - [j44]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) - [j43]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) - [j42]Yusuke Hara, Xueting Wang, Toshihiko Yamasaki:
Video Inpainting by Frame Alignment with Deformable Convolution. IEICE Trans. Inf. Syst. 104-D(8): 1349-1358 (2021) - [j41]Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Tatsuaki Hashimoto:
Image inpainting using frequency-domain priors. J. Electronic Imaging 30(2): 023016 (2021) - [j40]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) - [j39]Naoto Inoue, Toshihiko Yamasaki:
Learning From Synthetic Shadows for Shadow Detection and Removal. IEEE Trans. Circuits Syst. Video Technol. 31(11): 4187-4197 (2021) - [j38]Li Tao, Xueting Wang, Toshihiko Yamasaki:
Rethinking Motion Representation: Residual Frames With 3D ConvNets. IEEE Trans. Image Process. 30: 9231-9244 (2021) - [j37]Bohui Xia, Xueting Wang, Toshihiko Yamasaki:
Semantic Explanation for Deep Neural Networks Using Feature Interactions. ACM Trans. Multim. Comput. Commun. Appl. 17(3s): 115:1-115:19 (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, Daichi 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]