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2020 – today
- 2023
[j21]Zhijie Wang, Xing Liu, Masanori Suganuma, Takayuki Okatani:
Unsupervised domain adaptation for semantic segmentation via cross-region alignment. Comput. Vis. Image Underst. 234: 103743 (2023)- [j20]Li Sun
, Ping Wang, Liuan Wang, Jun Sun, Takayuki Okatani:
Zero-shot temporal event localisation: Label-free, training-free, domain-free. IET Comput. Vis. 17(5): 599-613 (2023) - [c95]Liang Xu, Han Zou, Takayuki Okatani:
How Do Label Errors Affect Thin Crack Detection by DNNs. CVPR Workshops 2023: 4414-4423 - [c94]Han Zou, Liang Xu, Takayuki Okatani:
Geometry Enhanced Reference-based Image Super-resolution. CVPR Workshops 2023: 6124-6133 - [c93]Qian Ye, Masanori Suganuma, Takayuki Okatani:
Accurate Single-Image Defocus Deblurring Based on Improved Integration with Defocus Map Estimation. ICIP 2023: 750-754 - [c92]Li Sun, Liuan Wang, Jun Sun, Takayuki Okatani:
Prompt Prototype Learning Based on Ranking Instruction For Few-Shot Visual Tasks. ICIP 2023: 3235-3239 - [c91]Jie Zhang, Masanori Suganuma, Takayuki Okatani:
Network Pruning and Fine-tuning for Few-shot Industrial Image Anomaly Detection. INDIN 2023: 1-6 - [c90]Yuichi Kamata, Moyuru Yamada, Takayuki Okatani:
Self-Modularized Transformer: Learn to Modularize Networks for Systematic Generalization. VISIGRAPP (5: VISAPP) 2023: 599-606 - [c89]Toshimichi Aota, Lloyd Teh Tzer Tong, Takayuki Okatani:
Zero-shot versus Many-shot: Unsupervised Texture Anomaly Detection. WACV 2023: 5553-5561 - [i53]Tatsuro Yamane, Pang-jo Chun, Ji Dang, Takayuki Okatani:
Bridge Damage Cause Estimation Using Multiple Images Based on Visual Question Answering. CoRR abs/2302.09208 (2023) - [i52]Han Zou, Masanori Suganuma, Takayuki Okatani:
Reference-based Motion Blur Removal: Learning to Utilize Sharpness in the Reference Image. CoRR abs/2307.02875 (2023) - [i51]Han Zou, Masanori Suganuma, Takayuki Okatani:
RefVSR++: Exploiting Reference Inputs for Reference-based Video Super-resolution. CoRR abs/2307.02897 (2023) - [i50]Jie Zhang, Masanori Suganuma, Takayuki Okatani:
Contextual Affinity Distillation for Image Anomaly Detection. CoRR abs/2307.03101 (2023) - [i49]Jie Zhang, Masanori Suganuma, Takayuki Okatani:
That's BAD: Blind Anomaly Detection by Implicit Local Feature Clustering. CoRR abs/2307.03243 (2023) - [i48]Korawat Charoenpitaks, Van-Quang Nguyen, Masanori Suganuma, Masahiro Takahashi, Ryoma Niihara, Takayuki Okatani:
Visual Abductive Reasoning Meets Driving Hazard Prediction: Problem Formulation and Dataset. CoRR abs/2310.04671 (2023) - [i47]Xiangyong Lu, Masanori Suganuma, Takayuki Okatani:
SBCFormer: Lightweight Network Capable of Full-size ImageNet Classification at 1 FPS on Single Board Computers. CoRR abs/2311.03747 (2023) - 2022
- [c88]Huyen Thi Thanh Tran, Takayuki Okatani:
Bright as the Sun: In-depth Analysis of Imagination-Driven Image Captioning. ACCV (4) 2022: 675-691 - [c87]Shuang Liu, Takayuki Okatani:
Symmetry-aware Neural Architecture for Embodied Visual Exploration. CVPR 2022: 17221-17230 - [c86]Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani:
GRIT: Faster and Better Image Captioning Transformer Using Dual Visual Features. ECCV (36) 2022: 167-184 - [c85]Kang-Jun Liu, Masanori Suganuma, Takayuki Okatani:
Bridging the Gap from Asymmetry Tricks to Decorrelation Principles in Non-contrastive Self-supervised Learning. NeurIPS 2022 - [i46]Zhijie Wang, Masanori Suganuma, Takayuki Okatani:
Rethinking Unsupervised Domain Adaptation for Semantic Segmentation. CoRR abs/2207.00067 (2022) - [i45]Qian Ye, Masanori Suganuma, Jun Xiao, Takayuki Okatani:
Learning Regularized Multi-Scale Feature Flow for High Dynamic Range Imaging. CoRR abs/2207.02539 (2022) - [i44]Qian Ye, Masanori Suganuma, Takayuki Okatani:
Single-image Defocus Deblurring by Integration of Defocus Map Prediction Tracing the Inverse Problem Computation. CoRR abs/2207.03047 (2022) - [i43]Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani:
GRIT: Faster and Better Image captioning Transformer Using Dual Visual Features. CoRR abs/2207.09666 (2022) - [i42]Yusuke Hosoya, Masanori Suganuma, Takayuki Okatani:
More Practical Scenario of Open-set Object Detection: Open at Category Level and Closed at Super-category Level. CoRR abs/2207.09775 (2022) - [i41]Wenzheng Song, Ran Yan, Boshu Lei, Takayuki Okatani:
SuperGF: Unifying Local and Global Features for Visual Localization. CoRR abs/2212.13105 (2022) - 2021
- [j19]Keiji Nagatani, Masato Abe, Koichi Osuka, Pang-jo Chun, Takayuki Okatani, Mayuko Nishio, Shota Chikushi, Takamitsu Matsubara, Yusuke Ikemoto, Hajime Asama:
Innovative technologies for infrastructure construction and maintenance through collaborative robots based on an open design approach. Adv. Robotics 35(11): 715-722 (2021) - [c84]Yuichi Kamata, Moyuru Yamada, Keizo Kato, Akira Nakagawa, Takayuki Okatani:
Symbolizing Visual Features for Pre-training with Unlabeled Images. ACPR (2) 2021: 490-503 - [c83]Wenzheng Song, Masanori Suganuma, Xing Liu, Noriyuki Shimobayashi, Daisuke Maruta, Takayuki Okatani:
Matching in the Dark: A Dataset for Matching Image Pairs of Low-light Scenes. ICCV 2021: 6009-6018 - [c82]Tetsuya Tanaka, Yukihiro Sasagawa, Takayuki Okatani:
Learning to Bundle-adjust: A Graph Network Approach to Faster Optimization of Bundle Adjustment for Vehicular SLAM. ICCV 2021: 6230-6239 - [c81]Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani:
Look Wide and Interpret Twice: Improving Performance on Interactive Instruction-following Tasks. IJCAI 2021: 923-930 - [c80]Qian Ye, Jun Xiao, Kin-Man Lam, Takayuki Okatani:
Progressive and Selective Fusion Network for High Dynamic Range Imaging. ACM Multimedia 2021: 5290-5297 - [i40]Engkarat Techapanurak, Takayuki Okatani:
Practical Evaluation of Out-of-Distribution Detection Methods for Image Classification. CoRR abs/2101.02447 (2021) - [i39]Engkarat Techapanurak, Anh-Chuong Dang, Takayuki Okatani:
Bridging In- and Out-of-distribution Samples for Their Better Discriminability. CoRR abs/2101.02500 (2021) - [i38]Liang Xu, Taro Hatsutani, Xing Liu, Engkarat Techapanurak, Han Zou, Takayuki Okatani:
Pushing the Envelope of Thin Crack Detection. CoRR abs/2101.03326 (2021) - [i37]Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani:
Look Wide and Interpret Twice: Improving Performance on Interactive Instruction-following Tasks. CoRR abs/2106.00596 (2021) - [i36]Qian Ye, Jun Xiao, Kin-Man Lam, Takayuki Okatani:
Progressive and Selective Fusion Network for High Dynamic Range Imaging. CoRR abs/2108.08585 (2021) - [i35]Wenzheng Song, Masanori Suganuma, Xing Liu, Noriyuki Shimobayashi, Daisuke Maruta, Takayuki Okatani:
Matching in the Dark: A Dataset for Matching Image Pairs of Low-light Scenes. CoRR abs/2109.03585 (2021) - [i34]Zhijie Wang, Xing Liu, Masanori Suganuma, Takayuki Okatani:
Cross-Region Domain Adaptation for Class-level Alignment. CoRR abs/2109.06422 (2021) - [i33]Zhijie Wang, Masanori Suganuma, Takayuki Okatani:
Improved Few-shot Segmentation by Redefinition of the Roles of Multi-level CNN Features. CoRR abs/2109.06432 (2021) - [i32]Shuang Liu, Takayuki Okatani:
Symmetry-aware Neural Architecture for Embodied Visual Navigation. CoRR abs/2112.09515 (2021) - 2020
- [j18]Yan Zhang, Junjie Hu, Takayuki Okatani:
Extending information maximization from a rate-distortion perspective. Neurocomputing 399: 285-295 (2020) - [c79]Engkarat Techapanurak, Masanori Suganuma, Takayuki Okatani:
Hyperparameter-Free Out-of-Distribution Detection Using Cosine Similarity. ACCV (4) 2020: 53-69 - [c78]Hiroto Date, Keisuke Kawasaki, Isao Hasegawa, Takayuki Okatani:
Deep Learning for Channel-Agnostic Brain Decoding across Multiple Subjects. BCI 2020: 1-6 - [c77]Yoshihiro Hirohashi, Kenichi Narioka, Masanori Suganuma, Xing Liu, Yukimasa Tamatsu, Takayuki Okatani:
Removal of Image Obstacles for Vehicle-mounted Surrounding Monitoring Cameras by Real-time Video Inpainting. CVPR Workshops 2020: 857-866 - [c76]Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani:
Efficient Attention Mechanism for Visual Dialog that Can Handle All the Interactions Between Multiple Inputs. ECCV (24) 2020: 223-240 - [c75]Yusuke Hosoya, Masanori Suganuma, Takayuki Okatani:
Analysis and a Solution of Momentarily Missed Detection for Anchor-based Object Detectors. WACV 2020: 1399-1407 - [c74]Pongsate Tangseng, Takayuki Okatani:
Toward Explainable Fashion Recommendation. WACV 2020: 2142-2151 - [i31]Rito Murase, Masanori Suganuma, Takayuki Okatani:
How Can CNNs Use Image Position for Segmentation? CoRR abs/2005.03463 (2020)
2010 – 2019
- 2019
- [j17]Shuang Liu, Mete Ozay, Takayuki Okatani, Hongli Xu, Kai Sun, Yang Lin:
Detection and Pose Estimation for Short-Range Vision-Based Underwater Docking. IEEE Access 7: 2720-2749 (2019) - [c73]Hiroto Date, Keisuke Kawasaki, Isao Hasegawa, Takayuki Okatani:
Deep Learning for Natural Image Reconstruction from Electrocorticography Signals. BIBM 2019: 2331-2336 - [c72]Takayuki Okatani, Xing Liu, Masanori Suganuma:
Improving Generalization Ability of Deep Neural Networks for Visual Recognition Tasks. CCIW 2019: 3-13 - [c71]Xing Liu, Masanori Suganuma, Zhun Sun, Takayuki Okatani:
Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration. CVPR 2019: 7007-7016 - [c70]Masanori Suganuma, Xing Liu, Takayuki Okatani:
Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions. CVPR 2019: 9039-9048 - [c69]Duy-Kien Nguyen, Takayuki Okatani:
Multi-Task Learning of Hierarchical Vision-Language Representation. CVPR 2019: 10492-10501 - [c68]Mingzhen Shao, Zhun Sun, Mete Ozay, Takayuki Okatani:
Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment. FG 2019: 1-5 - [c67]Junjie Hu, Yan Zhang, Takayuki Okatani:
Visualization of Convolutional Neural Networks for Monocular Depth Estimation. ICCV 2019: 3868-3877 - [c66]Shuang Liu, Mete Özay, Hongli Xu, Yang Lin, Takayuki Okatani:
A Generative Model of Underwater Images for Active Landmark Detection and Docking. IROS 2019: 8034-8039 - [c65]Junjie Hu, Mete Ozay, Yan Zhang, Takayuki Okatani:
Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps With Accurate Object Boundaries. WACV 2019: 1043-1051 - [c64]Rito Murase, Yan Zhang, Takayuki Okatani:
Video-Rate Video Inpainting. WACV 2019: 1553-1561 - [p1]Masashi Konyo, Yuichi Ambe, Hikaru Nagano, Yu Yamauchi, Satoshi Tadokoro, Yoshiaki Bando, Katsutoshi Itoyama, Hiroshi G. Okuno, Takayuki Okatani, Kanta Shimizu, Eisuke Ito:
ImPACT-TRC Thin Serpentine Robot Platform for Urban Search and Rescue. Disaster Robotics 2019: 25-76 - [i30]Pongsate Tangseng, Takayuki Okatani:
Toward Explainable Fashion Recommendation. CoRR abs/1901.04870 (2019) - [i29]Xing Liu, Masanori Suganuma, Zhun Sun, Takayuki Okatani:
Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration. CoRR abs/1903.08817 (2019) - [i28]Junjie Hu, Yan Zhang, Takayuki Okatani:
Visualization of Convolutional Neural Networks for Monocular Depth Estimation. CoRR abs/1904.03380 (2019) - [i27]Mingzhen Shao, Zhun Sun, Mete Ozay, Takayuki Okatani:
Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment. CoRR abs/1905.08609 (2019) - [i26]Engkarat Techapanurak, Takayuki Okatani:
Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity. CoRR abs/1905.10628 (2019) - [i25]Xing Liu, Takayuki Okatani:
Evaluating Artificial Systems for Pairwise Ranking Tasks Sensitive to Individual Differences. CoRR abs/1905.13560 (2019) - [i24]Xing Liu, Masanori Suganuma, Takayuki Okatani:
Joint Learning of Multiple Image Restoration Tasks. CoRR abs/1907.04508 (2019) - [i23]Yusuke Hosoya, Masanori Suganuma, Takayuki Okatani:
Analysis and a Solution of Momentarily Missed Detection for Anchor-based Object Detectors. CoRR abs/1910.09212 (2019) - [i22]Junjie Hu, Takayuki Okatani:
Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method. CoRR abs/1911.08790 (2019) - [i21]Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani:
Efficient Attention Mechanism for Handling All the Interactions between Many Inputs with Application to Visual Dialog. CoRR abs/1911.11390 (2019) - 2018
- [c63]Mete Özay, Takayuki Okatani:
Training CNNs With Normalized Kernels. AAAI 2018: 3884-3891 - [c62]Duy-Kien Nguyen, Takayuki Okatani:
Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering. CVPR 2018: 6087-6096 - [c61]Zhun Sun, Mete Ozay, Yan Zhang, Xing Liu, Takayuki Okatani:
Feature Quantization for Defending Against Distortion of Images. CVPR 2018: 7957-7966 - [c60]Masanori Suganuma, Mete Ozay, Takayuki Okatani:
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search. ICML 2018: 4778-4787 - [c59]Fazil Altinel, Mete Ozay, Takayuki Okatani:
Deep Structured Energy-Based Image Inpainting. ICPR 2018: 423-428 - [c58]Pongsate Tangseng, Kota Yamaguchi, Takayuki Okatani:
Recommending Outfits from Personal Closet. WACV 2018: 269-277 - [i20]Fazil Altinel, Mete Ozay, Takayuki Okatani:
Deep Structured Energy-Based Image Inpainting. CoRR abs/1801.07939 (2018) - [i19]Masanori Suganuma, Mete Özay, Takayuki Okatani:
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search. CoRR abs/1803.00370 (2018) - [i18]Junjie Hu, Mete Ozay, Yan Zhang, Takayuki Okatani:
Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries. CoRR abs/1803.08673 (2018) - [i17]Duy-Kien Nguyen, Takayuki Okatani:
Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering. CoRR abs/1804.00775 (2018) - [i16]Pongsate Tangseng, Kota Yamaguchi, Takayuki Okatani:
Recommending Outfits from Personal Closet. CoRR abs/1804.09979 (2018) - [i15]Duy-Kien Nguyen, Takayuki Okatani:
Multi-task Learning of Hierarchical Vision-Language Representation. CoRR abs/1812.00500 (2018) - [i14]Masanori Suganuma, Xing Liu, Takayuki Okatani:
Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions. CoRR abs/1812.00733 (2018) - 2017
- [j16]Ken Sakurada, Daiki Tetsuka, Takayuki Okatani:
Temporal city modeling using street level imagery. Comput. Vis. Image Underst. 157: 55-71 (2017) - [c57]Eisuke Ito, Takayuki Okatani:
Self-Calibration-Based Approach to Critical Motion Sequences of Rolling-Shutter Structure from Motion. CVPR 2017: 4512-4520 - [c56]Yan Zhang, Mete Ozay, Shuohao Li, Takayuki Okatani:
Truncating Wide Networks Using Binary Tree Architectures. ICCV 2017: 2116-2124 - [c55]Pongsate Tangseng, Kota Yamaguchi, Takayuki Okatani:
Recommending Outfits from Personal Closet. ICCV Workshops 2017: 2275-2279 - [i13]Mete Ozay, Takayuki Okatani:
Optimization on Product Submanifolds of Convolution Kernels. CoRR abs/1701.06123 (2017) - [i12]Yan Zhang, Mete Ozay, Shuohao Li, Takayuki Okatani:
Truncating Wide Networks using Binary Tree Architectures. CoRR abs/1704.00509 (2017) - [i11]Yan Zhang, Mete Ozay, Zhun Sun, Takayuki Okatani:
Information Potential Auto-Encoders. CoRR abs/1706.04635 (2017) - [i10]Zhun Sun, Mete Ozay, Takayuki Okatani:
Improving Robustness of Feature Representations to Image Deformations using Powered Convolution in CNNs. CoRR abs/1707.07830 (2017) - [i9]Zhun Sun, Mete Ozay, Takayuki Okatani:
Linear Discriminant Generative Adversarial Networks. CoRR abs/1707.07831 (2017) - [i8]Kota Yamaguchi, Takayuki Okatani, Takayuki Umeda, Kazuhiko Murasaki, Kyoko Sudo:
End-to-end learning potentials for structured attribute prediction. CoRR abs/1708.01892 (2017) - [i7]Zhun Sun, Mete Ozay, Takayuki Okatani:
HyperNetworks with statistical filtering for defending adversarial examples. CoRR abs/1711.01791 (2017) - [i6]Shuang Liu, Mete Ozay, Takayuki Okatani, Hongli Xu, Kai Sun, Yang Lin:
A vision based system for underwater docking. CoRR abs/1712.04138 (2017) - 2016
- [j15]Yasushi Akashi, Takayuki Okatani:
Separation of reflection components by sparse non-negative matrix factorization. Comput. Vis. Image Underst. 146: 77-85 (2016) - [j14]Ken Sakurada, Takayuki Okatani, Kris M. Kitani:
Hybrid macro-micro visual analysis for city-scale state estimation. Comput. Vis. Image Underst. 146: 86-98 (2016) - [j13]Tatsuro Orikasa, Takayuki Okatani:
A Gaze-Reactive Display for Simulating Depth-of-Field of Eyes When Viewing Scenes with Multiple Depths. IEICE Trans. Inf. Syst. 99-D(3): 739-746 (2016) - [c54]Takuya Yashima, Naoaki Okazaki, Kentaro Inui, Kota Yamaguchi, Takayuki Okatani:
Learning to Describe E-Commerce Images from Noisy Online Data. ACCV (5) 2016: 85-100 - [c53]Zhun Sun, Mete Ozay, Takayuki Okatani:
Design of Kernels in Convolutional Neural Networks for Image Classification. ECCV (7) 2016: 51-66 - [c52]Sirion Vittayakorn, Takayuki Umeda, Kazuhiko Murasaki, Kyoko Sudo, Takayuki Okatani, Kota Yamaguchi:
Automatic Attribute Discovery with Neural Activations. ECCV (4) 2016: 252-268 - [c51]Yan Zhang, Mete Ozay, Xing Liu, Takayuki Okatani:
Integrating deep features for material recognition. ICPR 2016: 3697-3702 - [c50]Masayasu Muraoka, Sumit Maharjan, Masaki Saito, Kota Yamaguchi, Naoaki Okazaki, Takayuki Okatani, Kentaro Inui:
Recognizing Open-Vocabulary Relations between Objects in Images. PACLIC 2016 - [i5]Sirion Vittayakorn, Takayuki Umeda, Kazuhiko Murasaki, Kyoko Sudo, Takayuki Okatani, Kota Yamaguchi:
Automatic Attribute Discovery with Neural Activations. CoRR abs/1607.07262 (2016) - [i4]Mete Ozay, Takayuki Okatani:
Optimization on Submanifolds of Convolution Kernels in CNNs. CoRR abs/1610.07008 (2016) - [i3]Eisuke Ito, Takayuki Okatani:
Self-calibration-based Approach to Critical Motion Sequences of Rolling-shutter Structure from Motion. CoRR abs/1611.05476 (2016) - 2015
- [c49]Kota Yamaguchi, Takayuki Okatani, Kyoko Sudo, Kazuhiko Murasaki, Yukinobu Taniguchi:
Mix and Match: Joint Model for Clothing and Attribute Recognition. BMVC 2015: 51.1-51.12 - [c48]Ken Sakurada, Takayuki Okatani:
Change Detection from a Street Image Pair using CNN Features and Superpixel Segmentation. BMVC 2015: 61.1-61.12 - [c47]Masaki Saito, Takayuki Okatani:
Transformation of Markov Random Fields for marginal distribution estimation. CVPR 2015: 797-805 - [c46]Daiki Tetsuka, Takayuki Okatani:
Detecting Building-Level Changes of a City Using Street Images and a 2D City Map. WACV 2015: 349-356 - [i2]Yan Zhang, Mete Ozay, Xing Liu, Takayuki Okatani:
Integrating Deep Features for Material Recognition. CoRR abs/1511.06522 (2015) - [i1]Zhun Sun, Mete Özay, Takayuki Okatani:
Design of Kernels in Convolutional Neural Networks for Image Classification. CoRR abs/1511.09231 (2015) - 2014
- [c45]Ken Sakurada, Takayuki Okatani, Kris M. Kitani:
Massive City-Scale Surface Condition Analysis Using Ground and Aerial Imagery. ACCV (1) 2014: 49-64 - [c44]Makoto Ozeki, Takayuki Okatani:
Understanding Convolutional Neural Networks in Terms of Category-Level Attributes. ACCV (2) 2014: 362-375 - [c43]Yasuhiro Akashi, Takayuki Okatani:
Separation of Reflection Components by Sparse Non-negative Matrix Factorization. ACCV (5) 2014: 611-625 - [r1]Takayuki Okatani:
Curvature. Computer Vision, A Reference Guide 2014: 154-159 - 2013
- [j12]Tomohiro Ushiki, Eisuke Ito, Takayuki Okatani:
Improving Accuracy of Planar Tracking by Resolving Resolution