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Toru Tamaki
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2020 – today
- 2024
- [c67]Taiki Sugiura, Toru Tamaki:
S3Aug: Segmentation, Sampling, and Shift for Action Recognition. VISIGRAPP (2): VISAPP 2024: 71-79 - [i27]Kodai Kamiya, Toru Tamaki:
Multi-model learning by sequential reading of untrimmed videos for action recognition. CoRR abs/2401.14675 (2024) - [i26]Tomoya Nitta, Takumi Fukuzawa, Toru Tamaki:
Fine-grained length controllable video captioning with ordinal embeddings. CoRR abs/2408.15447 (2024) - [i25]Itsuki Kato, Kodai Kamiya, Toru Tamaki:
Online pre-training with long-form videos. CoRR abs/2408.15651 (2024) - [i24]Shimon Hori, Kazuki Omi, Toru Tamaki:
Query matching for spatio-temporal action detection with query-based object detector. CoRR abs/2409.18408 (2024) - [i23]Tsubasa Mizuno, Toru Tamaki:
Shift and matching queries for video semantic segmentation. CoRR abs/2410.07635 (2024) - 2023
- [j32]Tomoya Nitta, Tsubasa Hirakawa, Hironobu Fujiyoshi, Toru Tamaki:
Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition. IEICE Trans. Inf. Syst. 106(3): 391-400 (2023) - [c66]Shuki Shimizu, Toru Tamaki:
Joint learning of images and videos with a single Vision Transformer. MVA 2023: 1-6 - [i22]Shuki Shimizu, Toru Tamaki:
Joint learning of images and videos with a single Vision Transformer. CoRR abs/2308.10533 (2023) - [i21]Taiki Sugiura, Toru Tamaki:
S3Aug: Segmentation, Sampling, and Shift for Action Recognition. CoRR abs/2310.14556 (2023) - 2022
- [j31]Aoi Otani, Ryota Hashiguchi, Kazuki Omi, Norishige Fukushima
, Toru Tamaki
Performance Evaluation of Action Recognition Models on Low Quality Videos. IEEE Access 10: 94898-94907 (2022) - [j30]Masayuki Odagawa, Takumi Okamoto, Tetsushi Koide, Toru Tamaki, Shigeto Yoshida, Hiroshi Mieno, Shinji Tanaka:
Classification with CNN features and SVM on Embedded DSP Core for Colorectal Magnified NBI Endoscopic Video Image. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 105-A(1): 25-34 (2022) - [j29]Masayuki Odagawa, Tetsushi Koide, Toru Tamaki, Shigeto Yoshida, Hiroshi Mieno, Shinji Tanaka:
Feasibility Study for Computer-Aided Diagnosis System with Navigation Function of Clear Region for Real-Time Endoscopic Video Image on Customizable Embedded DSP Cores. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 105-A(1): 58-62 (2022) - [j28]Kazuki Omi, Jun Kimata, Toru Tamaki:
Model-Agnostic Multi-Domain Learning with Domain-Specific Adapters for Action Recognition. IEICE Trans. Inf. Syst. 105-D(12): 2119-2126 (2022) - [c65]Ryota Hashiguchi, Toru Tamaki
Temporal Cross-Attention for Action Recognition. ACCV (Workshops) 2022: 283-294 - [c64]Jun Kimata, Tomoya Nitta, Toru Tamaki:
ObjectMix: Data Augmentation by Copy-Pasting Objects in Videos for Action Recognition. MMAsia 2022: 26:1-26:7 - [i20]Jun Kimata, Tomoya Nitta, Toru Tamaki:
ObjectMix: Data Augmentation by Copy-Pasting Objects in Videos for Action Recognition. CoRR abs/2204.00239 (2022) - [i19]Ryota Hashiguchi, Toru Tamaki:
Vision Transformer with Cross-attention by Temporal Shift for Efficient Action Recognition. CoRR abs/2204.00452 (2022) - [i18]Kazuki Omi, Toru Tamaki:
Model-agnostic Multi-Domain Learning with Domain-Specific Adapters for Action Recognition. CoRR abs/2204.07270 (2022) - [i17]Aoi Otani, Ryota Hashiguchi, Kazuki Omi, Norishige Fukushima, Toru Tamaki:
On the Performance Evaluation of Action Recognition Models on Transcoded Low Quality Videos. CoRR abs/2204.09166 (2022) - [i16]Tomoya Nitta, Tsubasa Hirakawa, Hironobu Fujiyoshi, Toru Tamaki:
Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition. CoRR abs/2207.13306 (2022) - 2021
- [j27]Masayuki Odagawa, Takumi Okamoto, Tetsushi Koide, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Shigeto Yoshida, Hiroshi Mieno, Shinji Tanaka, Takayuki Sugawara, Hiroshi Toishi, Masayuki Tsuji, Nobuo Tamba:
A Hardware Implementation on Customizable Embedded DSP Core for Colorectal Tumor Classification with Endoscopic Video toward Real-Time Computer-Aided Diagnosais System. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 104-A(4): 691-701 (2021) - [j26]Kazuki Fujimori, Bisser Raytchev, Kazufumi Kaneda, Yasufumi Yamada
Localization of Flying Bats from Multichannel Audio Signals by Estimating Location Map with Convolutional Neural Networks. J. Robotics Mechatronics 33(3): 515-525 (2021) - [c63]Sora Iwamoto, Bisser Raytchev, Toru Tamaki
Improving the Reliability of Semantic Segmentation of Medical Images by Uncertainty Modeling with Bayesian Deep Networks and Curriculum Learning. UNSURE/PIPPI@MICCAI 2021: 34-43 - [i15]Sora Iwamoto, Bisser Raytchev, Toru Tamaki, Kazufumi Kaneda:
Improving the Reliability of Semantic Segmentation of Medical Images by Uncertainty Modeling with Bayesian Deep Networks and Curriculum Learning. CoRR abs/2108.11693 (2021) - 2020
- [j25]Kento Terao, Toru Tamaki
An Entropy Clustering Approach for Assessing Visual Question Difficulty. IEEE Access 8: 180633-180645 (2020) - [j24]Kento Terao, Toru Tamaki
Rephrasing Visual Questions by Specifying the Entropy of the Answer Distribution. IEICE Trans. Inf. Syst. 103-D(11): 2362-2370 (2020) - [c62]Souichirou Harada, Bisser Raytchev, Toru Tamaki, Kazufumi Kaneda:
Motion recognition with biologically plausible spiking neural networks. CogSci 2020 - [c61]Masayuki Odagawa, Takumi Okamoto, Tetsushi Koide, Shigeto Yoshida, Hiroshi Mieno, Toru Tamaki
Classification Method with CNN features and SVM for Computer-Aided Diagnosis System in Colorectal Magnified NBI Endoscopy. TENCON 2020: 1095-1100 - [i14]Fangda Zhao, Toru Tamaki, Takio Kurita, Bisser Raytchev, Kazufumi Kaneda:
On-line non-overlapping camera calibration net. CoRR abs/2002.08005 (2020) - [i13]Kento Terao, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Shun'ichi Satoh:
Rephrasing visual questions by specifying the entropy of the answer distribution. CoRR abs/2004.04963 (2020) - [i12]Kento Terao, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Shun'ichi Satoh:
Which visual questions are difficult to answer? Analysis with Entropy of Answer Distributions. CoRR abs/2004.05595 (2020)
2010 – 2019
- 2019
- [j23]Toru Tamaki
Semantic segmentation of trajectories with improved agent models for pedestrian behavior analysis. Adv. Robotics 33(3-4): 153-168 (2019) - [j22]Jingxin Su
High-Resolution Representation for Mobile Mapping Data in Curved Regular Grid Model. Sensors 19(24): 5373 (2019) - [c60]Rushi J. Babariya, Toru Tamaki
Meaning Guided Video Captioning. ACPR (2) 2019: 478-488 - [c59]Ryo Fukuhara, Kazufumi Kaneda, Toru Tamaki, Bisser Raytchev, Toru Higaki, Soh Nishimoto, Yohei Sotsuka:
A Projection Mapping System onto a Human Body for Medical Applications. Eurographics (Posters) 2019: 29-30 - [c58]Masayuki Odagawa, Takumi Okamoto, Tetsushi Koide, Toru Tamaki
A Hardware Implementation of Colorectal Tumor Classification for Endoscopic Video on Customizable DSP Toward Real-Time Computer-Aided Diagnosis System. ISCAS 2019: 1-5 - [c57]Takumi Okamoto, Masayuki Odagawa, Tetsushi Koide, Shinji Tanaka, Toru Tamaki
Feature Extraction of Colorectal Endoscopic Images for Computer-Aided Diagnosis with CNN. ISDCS 2019: 1-4 - [c56]Shohei Hayashi, Bisser Raytchev, Toru Tamaki
Biomedical Image Segmentation by Retina-Like Sequential Attention Mechanism Using only a Few Training Images. MLMI@MICCAI 2019: 283-291 - [i11]Shohei Hayashi, Bisser Raytchev, Toru Tamaki, Kazufumi Kaneda:
Biomedical Image Segmentation by Retina-like Sequential Attention Mechanism Using Only A Few Training Images. CoRR abs/1909.12612 (2019) - [i10]Toru Tamaki, Daisuke Ogawa, Bisser Raytchev, Kazufumi Kaneda:
Semantic segmentation of trajectories with improved agent models for pedestrian behavior analysis. CoRR abs/1912.05727 (2019) - [i9]Daisuke Ogawa, Toru Tamaki, Tsubasa Hirakawa, Bisser Raytchev, Kazufumi Kaneda, Ken Yoda:
Improved Activity Forecasting for Generating Trajectories. CoRR abs/1912.05729 (2019) - [i8]Rushi J. Babariya, Toru Tamaki:
Meaning guided video captioning. CoRR abs/1912.05730 (2019) - 2018
- [j21]Georg Wimmer, Michael Gadermayr, Roland Kwitt
Training of polyp staging systems using mixed imaging modalities. Comput. Biol. Medicine 102: 251-259 (2018) - [j20]Jingxin Su, Ryuji Miyazaki, Toru Tamaki
3D Modeling of Lane Marks Using a Combination of Images and Mobile Mapping Data. Int. J. Autom. Technol. 12(3): 386-394 (2018) - [j19]Fangda Zhao, Toru Tamaki
Marker-based non-overlapping camera calibration methods with additional support camera views. Image Vis. Comput. 70: 46-54 (2018) - [c55]Tsubasa Hirakawa, Takayoshi Yamashita, Toru Tamaki
Survey on Vision-Based Path Prediction. HCI (22) 2018: 48-64 - [c54]Wataru Yamamoto, Bisser Raytchev, Toru Tamaki
Spectral rendering of fluorescence using importance sampling. SIGGRAPH ASIA Posters 2018: 12:1-12:2 - [c53]Takumi Okamoto, Tetsushi Koide, Shigeto Yoshida, Hiroshi Mieno, Hiroshi Toishi, Takayuki Sugawara, Masayuki Tsuji, Masayuki Odagawa, Nobuo Tamba, Toru Tamaki
Implementation of Computer-Aided Diagnosis System on Customizable DSP Core for Colorectal Endoscopic Images with CNN Features and SVM. TENCON 2018: 1663-1666 - [i7]Daisuke Ogawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda:
Semantic segmentation of trajectories with agent models. CoRR abs/1802.09659 (2018) - [i6]Tsubasa Hirakawa, Takayoshi Yamashita, Toru Tamaki, Hironobu Fujiyoshi:
Survey on Vision-based Path Prediction. CoRR abs/1811.00233 (2018) - 2017
- [j18]Tsubasa Hirakawa
Tree-Wise Discriminative Subtree Selection for Texture Image Labeling. IEEE Access 5: 13617-13634 (2017) - [j17]Kenji Matsui, Toru Tamaki
Trajectory-Set Feature for Action Recognition. IEICE Trans. Inf. Syst. 100-D(8): 1922-1924 (2017) - [c52]Tsubasa Hirakawa, Takayoshi Yamashita, Ken Yoda, Toru Tamaki
Travel Time-Dependent Maximum Entropy Inverse Reinforcement Learning for Seabird Trajectory Prediction. ACPR 2017: 430-435 - [c51]Bisser Raytchev
Grassmann matching kernels for scene representation and recognition. IJCNN 2017: 4422-4428 - [c50]Eduardo Ribeiro, Michael Häfner, Georg Wimmer, Toru Tamaki
Exploring texture Transfer Learning for Colonic Polyp Classification via Convolutional Neural Networks. ISBI 2017: 1044-1048 - [i5]Kenji Matsui, Toru Tamaki, Gwladys Auffret, Bisser Raytchev, Kazufumi Kaneda:
Revisiting hand-crafted feature for action recognition: a set of improved dense trajectories. CoRR abs/1711.10143 (2017) - 2016
- [j16]Tsubasa Hirakawa, Toru Tamaki
Defocus-aware Dirichlet particle filter for stable endoscopic video frame recognition. Artif. Intell. Medicine 68: 1-16 (2016) - [j15]Tsubasa Hirakawa, Toru Tamaki
Corrigendum to "Defocus-aware Dirichlet particle filter for stable endoscopic video frame recognition" [Artif. Intell. Med. 68 (March 2016) 1-16]. Artif. Intell. Medicine 72: 83 (2016) - [j14]Georg Wimmer, Toru Tamaki
Directional wavelet based features for colonic polyp classification. Medical Image Anal. 31: 16-36 (2016) - [c49]Tsubasa Hirakawa, Toru Tamaki
Discriminative Subtree Selection for NBI Endoscopic Image Labeling. ACCV Workshops (2) 2016: 610-624 - [c48]Michihiro Mikamo, Kotaro Mori, Bisser Raytchev
Binocular tone reproduction display for an HDR panorama image. SAP 2016: 131 - [c47]Peter Elmer, Michael Häfner, Toru Tamaki
Compression Impact on LIRE-based CBIR of Colonoscopy Data. Bildverarbeitung für die Medizin 2016: 152-157 - [c46]Fangda Zhao, Toru Tamaki
Marker based simple non-overlapping camera calibration. ICIP 2016: 1180-1184 - [c45]Bisser Raytchev
Ensemble-based local learning for high-dimensional data regression. ICPR 2016: 2640-2645 - [c44]Bisser Raytchev
Higher-level representation of local spatio-temporal features for human action recognition using Subspace Matching Kernels. ICPR 2016: 3862-3867 - [c43]Bisser Raytchev
Detection of Differentiated vs. Undifferentiated Colonies of iPS Cells Using Random Forests Modeled with the Multivariate Polya Distribution. MICCAI (2) 2016: 667-675 - [i4]Toru Tamaki, Shoji Sonoyama, Tsubasa Hirakawa, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Shigeto Yoshida, Hiroshi Mieno, Shinji Tanaka:
Computer-Aided Colorectal Tumor Classification in NBI Endoscopy Using CNN Features. CoRR abs/1608.06709 (2016) - [i3]Shoji Sonoyama, Toru Tamaki, Tsubasa Hirakawa, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Shigeto Yoshida, Hiroshi Mieno, Shinji Tanaka:
Transfer Learning for Endoscopic Image Classification. CoRR abs/1608.06713 (2016) - [i2]Toru Tamaki, Shoji Sonoyama, Takio Kurita, Tsubasa Hirakawa, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Shigeto Yoshida, Hiroshi Mieno, Shinji Tanaka, Kazuaki Chayama:
Domain Adaptation with L2 constraints for classifying images from different endoscope systems. CoRR abs/1611.02443 (2016) - [i1]Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Shigeto Yoshida, Hiroshi Mieno, Shinji Tanaka:
Development of a Real-time Colorectal Tumor Classification System for Narrow-band Imaging zoom-videoendoscopy. CoRR abs/1612.05000 (2016) - 2015
- [j13]Yukako Kuzuhara, Kensuke Kawamura, Rena Yoshitoshi, Toru Tamaki
A preliminarily study for predicting body weight and milk properties in lactating Holstein cows using a three-dimensional camera system. Comput. Electron. Agric. 111: 186-193 (2015) - [j12]Michael Häfner, Toru Tamaki
Local fractal dimension based approaches for colonic polyp classification. Medical Image Anal. 26(1): 92-107 (2015) - [c42]Shoji Sonoyama, Tsubasa Hirakawa, Toru Tamaki
Transfer learning for Bag-of-Visual words approach to NBI endoscopic image classification. EMBC 2015: 785-788 - [c41]Takumi Okamoto, Tetsushi Koide, Koki Sugi, Tatsuya Shimizu, Anh-Tuan Hoang, Toru Tamaki
Image segmentation of pyramid style identifier based on Support Vector Machine for colorectal endoscopic images. EMBC 2015: 2997-3000 - [c40]Bingzhi Yuan, Toru Tamaki
Layered optical tomography of multiple scattering media with combined constraint optimization. FCV 2015: 1-6 - [c39]Baowei Lin, Fangda Zhao, Toru Tamaki
SIPF: Scale invariant point feature for 3D point clouds. ICIP 2015: 2611-2615 - [c38]Peter Elmer, Michael Häfner, Toru Tamaki
Impact of Lossy Image Compression on CAD Support Systems for Colonoscopy. CARE@MICCAI 2015: 1-11 - [c37]Atsuki Masuda, Bisser Raytchev
Automatic Detection of Good/Bad Colonies of iPS Cells Using Local Features. MLMI 2015: 153-160 - [c36]Shoji Sonoyama, Toru Tamaki
Trade-off between speed and performance for colorectal endoscopic NBI image classification. Image Processing 2015: 94132D - 2014
- [j11]Baowei Lin, Toru Tamaki
Scale alignment of 3D point clouds with different scales. Mach. Vis. Appl. 25(8): 1989-2002 (2014) - [c35]Tetsushi Koide, Anh-Tuan Hoang, Takumi Okamoto, Satoshi Shigemi, Tsubasa Mishima, Toru Tamaki
FPGA implementation of type identifier for colorectal endoscopie images with NBI magnification. APCCAS 2014: 651-654 - [c34]Michihiro Mikamo, Bisser Raytchev, Toru Tamaki, Kazufumi Kaneda:
A Tone Reproduction Operator for All Luminance Ranges Considering Human Color Perception. Eurographics (Short Papers) 2014: 17-20 - [c33]Md. Abdul Mannan, Seiichi Tagawa, Toru Tamaki
Light Transport Refocusing for Unknown Scattering Medium. ICPR 2014: 4382-4387 - [c32]Tsubasa Mishima, Satoshi Shigemi, Anh-Tuan Hoang, Tetsushi Koide, Toru Tamaki
FPGA implementation of feature extraction for colorectal endoscopic images with NBI magnification. ISCAS 2014: 2515-2518 - 2013
- [j10]Michihiro Mikamo, Marcos Slomp, Bisser Raytchev
Perceptually inspired afterimage synthesis. Comput. Graph. 37(4): 247-255 (2013) - [j9]Toru Tamaki
Computer-aided colorectal tumor classification in NBI endoscopy using local features. Medical Image Anal. 17(1): 78-100 (2013) - [j8]Bisser Raytchev
Embedding class information into local invariant features by low-dimensional retinotopic mapping. Mach. Vis. Appl. 24(2): 407-418 (2013) - [c31]Shin Watanabe, Shota Kanamori, Sho Ikeda, Bisser Raytchev
Performance Improvement of Physically Based Spectral Rendering Using Stochastic Sampling. CCIW 2013: 184-198 - [c30]Tsubasa Hirakawa, Toru Tamaki
Labeling colorectal NBI zoom-videoendoscope image sequences with MRF and SVM. EMBC 2013: 4831-4834 - [c29]Tsubasa Hirakawa, Toru Tamaki
Smoothing posterior probabilities with a particle filter of dirichlet distribution for stabilizing colorectal NBI endoscopy recognition. ICIP 2013: 621-625 - [c28]Baowei Lin, Toru Tamaki
Scale ratio ICP for 3D point clouds with different scales. ICIP 2013: 2217-2221 - [c27]Bisser Raytchev
Action recognition by orthogonalized subspaces of local spatio-temporal features. ICIP 2013: 4387-4391 - [c26]Bisser Raytchev
Object Pose Estimation by Locally Linearly Embedded Regression. ICONIP (3) 2013: 458-468 - [c25]Masatoshi Minakawa, Bisser Raytchev
Image sequence recognition with active learning using uncertainty sampling. IJCNN 2013: 1-6 - [c24]Bisser Raytchev
Generic object recognition with local features: From bags to subspaces. IJCNN 2013: 1-6 - [c23]Toru Tamaki
Multiple-Scattering Optical Tomography with Layered Material. SITIS 2013: 93-99 - 2012
- [j7]Tomohisa Manabe, Bisser Raytchev, Toru Tamaki, Kazufumi Kaneda:
Illumination Morphing: Generating a Smooth Change of Illumination between Two Color Images. Int. J. Softw. Informatics 6(1): 3-27 (2012) - [c22]Toru Tamaki
Linear discriminative image processing operator analysis. CVPR 2012: 2526-2532 - [c21]Michihiro Mikamo, Marcos Slomp, Bisser Raytchev, Toru Tamaki, Kazufumi Kaneda:
Perceptually Based Afterimage Synthesis. Eurographics (Short Papers) 2012: 17-20 - [c20]Michihiro Mikamo, Yusuke Tsuda, Bisser Raytchev
An Efficient Method for Displaying Compressed HDR Spectral Images to RGB Display Monitors. ICNC 2012: 169-174 - [c19]Toru Tamaki
Estimating the spin of a table tennis ball using Inverse Compositional Image Alignment. ICASSP 2012: 1457-1460 - [c18]Takahishi Takeda, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Takio Kurita, Shigeto Yoshida, Yoshito Takemura, Keiichi Onji, Rie Miyaki, Shinji Tanaka:
Self-training with unlabeled regions for NBI image recognition. ICPR 2012: 25-28 - [c17]Ryosuke Shigenaka, Bisser Raytchev
Face sequence recognition using Grassmann Distances and Grassmann Kernels. IJCNN 2012: 1-7 - 2011
- [j6]Marcos Slomp, Michihiro Mikamo, Bisser Raytchev, Toru Tamaki, Kazufumi Kaneda:
GPU-based SoftAssign for Maximizing Image Utilization in Photomosaics. Int. J. Netw. Comput. 1(2): 211-229 (2011) - [j5]Marcos Slomp, Matthew W. Johnson, Toru Tamaki
Photorealistic real-time rendering of spherical raindrops with hierarchical reflective and refractive maps. Comput. Animat. Virtual Worlds 22(4): 393-404 (2011) - [c16]Bisser Raytchev
Pose estimation by local procrustes regression. ICIP 2011: 3585-3588 - 2010
- [c15]Bisser Raytchev
Class-Specific Low-Dimensional Representation of Local Features for Viewpoint Invariant Object Recognition. ACCV (3) 2010: 250-261 - [c14]Toru Tamaki
A System for Colorectal Tumor Classification in Magnifying Endoscopic NBI Images. ACCV (2) 2010: 452-463 - [c13]Marcos Slomp, Toru Tamaki
Screen-Space Ambient Occlusion through Summed-Area Tables. ICNC 2010: 1-8 - [c12]Toru Tamaki
Softassign and EM-ICP on GPU. ICNC 2010: 179-183 - [c11]Michihiro Mikamo, Marcos Slomp, Shungo Yanase, Bisser Raytchev
Maximizing Image Utilization in Photomosaics. ICNC 2010: 275-278 - [c10]Bisser Raytchev
View-Invariant Object Recognition with Visibility Maps. ICPR 2010: 1040-1043 - [c9]Toru Tamaki
Scale Matching of 3D Point Clouds by Finding Keyscales with Spin Images. ICPR 2010: 3480-3483 - [c8]Shota Kanamori, Kazuya Fujiwara, Takahiro Yoshinobu, Bisser Raytchev
Physically Based Rendering of Rainbows under Various Atmospheric Conditions. PG (Poster Papers) 2010: 39-45 - [c7]Marcos Slomp, Matthew W. Johnson, Toru Tamaki, Kazufumi Kaneda:
Photorealistic real-time rendering of spherical raindrops with hierarchical reflective and refractive maps. SI3D 2010
2000 – 2009
- 2009
- [j4]Toru Tamaki
Representing images of a rotating object with cyclic permutation for view-based pose estimation. Comput. Vis. Image Underst. 113(12): 1210-1221 (2009) - [c6]Kunihiko Nishihashi, Toru Higaki, Kenji Okabe, Bisser Raytchev
Volume rendering using grid computing for large-scale volume data. CAD/Graphics 2009: 470-475 - [c5]Toru Tamaki:
An Appearance Based Fast Linear Pose Estimation. MVA 2009: 182-186 - [c4]Toru Tamaki:
Linear 3-D Object Pose Estimation with Dense Sample Images -Discussions about Limitation of Parameter Estimation Ability by the Linear Regressions-. MVA 2009: 287-290 - [c3]Michihiro Mikamo, Marcos Slomp, Toru Tamaki
A tone reproduction operator accounting for mesopic vision. SIGGRAPH ASIA Posters 2009: 41:1 - 2006
- [c2]Toru Tamaki
String-Like Occluding Region Extraction for Background Restoration. ICPR (3) 2006: 615-618 - 2005
- [j3]Toru Tamaki
Unified Approach to Image Distortion: D-U and U-D Models. IEICE Trans. Inf. Syst. 88-D(5): 1086-1090 (2005) - 2004
- [j2]Toru Tamaki:
Human Limb Extraction Based on Motion Estimation Using Optical Flow and Image Registration. J. Adv. Comput. Intell. Intell. Informatics 8(2): 150-155 (2004) - 2002
- [j1]Toru Tamaki
Correcting Distortion of Image by Image Registration with the Implicit Function Theorem. Int. J. Image Graph. 2(2): 309-329 (2002) - [c1]Toru Tamaki, Tsuyoshi Yamamura, Noboru Ohnishi:
Unified Approach to Image Distortion. ICPR (2) 2002: 584-587
Coauthor Index
[j27] [j26] [c63] [i15] [j25] [j24] [c62] [c61] [i14] [i13] [i12] [j23] [j22] [c59] [c58] [c57] [c56] [i11] [i10] [i9] [j20] [j19] [c54] [c53] [i7] [j18] [j17] [c51] [i5] [j16] [j15] [c49] [c48] [c46] [c45] [c44] [c43] [i4] [i3] [i2] [i1] [c42] [c41] [c40] [c37] [c36] [j11] [c35] [c34] [c32] [j10] [j9] [j8] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [j7] [c22] [c21] [c20] [c19] [c18] [c17] [j6] [j5] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [j4] [c6] [c3]
[j27] [j26] [c63] [i15] [j25] [j24] [c62] [c61] [i14] [i13] [i12] [j23] [c59] [c58] [c57] [c56] [i11] [i10] [i9] [j19] [c54] [c53] [i7] [j18] [j17] [c51] [i5] [j16] [j15] [c49] [c48] [c46] [c45] [c44] [c43] [i4] [i3] [i2] [i1] [c42] [c41] [c40] [c37] [c36] [j11] [c35] [c34] [c32] [j10] [j9] [j8] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [j7] [c22] [c21] [c20] [c19] [c18] [c17] [j6] [c16] [c15] [c14] [c12] [c11] [c10] [c9] [c8] [c6]
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last updated on 2024-11-28 21:30 CET by the dblp team
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