| Using individuality to track individuals: Clustering individual trajectories in crowds using local appearance and frequency trait D Sugimura, KM Kitani, T Okabe, Y Sato, A Sugimoto 2009 IEEE 12th international conference on computer vision, 1467-1474, 2009 | 93 | 2009 |
| Enhancing color images of extremely low light scenes based on RGB/NIR images acquisition with different exposure times D Sugimura, T Mikami, H Yamashita, T Hamamoto IEEE Transactions on Image Processing 24 (11), 3586-3597, 2015 | 84 | 2015 |
| 3D Head Tracking using the Particle Filter with Cascaded Classifiers. Y Kobayashi, D Sugimura, Y Sato, K Hirasawa, N Suzuki, H Kage, ... BMVC, 37-46, 2006 | 71 | 2006 |
| Underwater image color correction using exposure-bracketing imaging K Nomura, D Sugimura, T Hamamoto IEEE Signal Processing Letters 25 (6), 893-897, 2018 | 37 | 2018 |
| Head direction estimation from low resolution images with scene adaptation I Chamveha, Y Sugano, D Sugimura, T Siriteerakul, T Okabe, Y Sato, ... Computer Vision and Image Understanding 117 (10), 1502-1511, 2013 | 35 | 2013 |
| Appearance-based head pose estimation with scene-specific adaptation I Chamveha, Y Sugano, D Sugimura, T Siriteerakul, T Okabe, Y Sato, ... 2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011 | 28 | 2011 |
| Non-contact heart rate estimation via adaptive rgb/nir signal fusion K Kurihara, D Sugimura, T Hamamoto IEEE Transactions on Image Processing 30, 6528-6543, 2021 | 24 | 2021 |
| Hierarchical group-level emotion recognition K Fujii, D Sugimura, T Hamamoto IEEE Transactions on Multimedia 23, 3892-3906, 2020 | 20 | 2020 |
| Enhancing low-light color images using an RGB-NIR single sensor H Yamashita, D Sugimura, T Hamamoto 2015 Visual Communications and Image Processing (VCIP), 1-4, 2015 | 20 | 2015 |
| パーティクルフィルタとカスケード型識別器の統合による人物三次元追跡 小林貴訓， 杉村大輔， 平澤宏祐， 鈴木直彦， 鹿毛裕史， 佐藤洋一， ... 電子情報通信学会論文誌 D 90 (8), 2049-2059, 2007 | 19 | 2007 |
| RGB-NIR imaging with exposure bracketing for joint denoising and deblurring of low-light color images H Yamashita, D Sugimura, T Hamamoto 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 18 | 2017 |
| Multi-frame RGB/NIR imaging for low-light color image super-resolution T Honda, D Sugimura, T Hamamoto IEEE Transactions on Computational Imaging 6, 248-262, 2019 | 17 | 2019 |
| Head pose classification from low resolution images using pairwise non-local intensity and color differences T Siriteerakul, D Sugimura, Y Sato 2010 Fourth Pacific-Rim Symposium on Image and Video Technology, 362-369, 2010 | 16 | 2010 |
| Enhanced cascading classifier using multi-scale HOG for pedestrian detection from aerial images D Sugimura, T Fujimura, T Hamamoto International Journal of Pattern Recognition and Artificial Intelligence 30 …, 2016 | 15 | 2016 |
| Hierarchical group-level emotion recognition in the wild K Fujii, D Sugimura, T Hamamoto 2019 14th IEEE International Conference on Automatic Face & Gesture …, 2019 | 14 | 2019 |
| Adaptive fusion of RGB/NIR signals based on face/background cross-spectral analysis for heart rate estimation K Kurihara, D Sugimura, T Hamamoto 2019 IEEE International Conference on Image Processing (ICIP), 4534-4538, 2019 | 13 | 2019 |
| Three-dimensional point cloud object detection using scene appearance consistency among multi-view projection directions D Sugimura, T Yamazaki, T Hamamoto IEEE Transactions on Circuits and Systems for Video Technology 30 (10), 3345 …, 2019 | 12 | 2019 |
| Low-light color image enhancement via iterative noise reduction using RGB/NIR sensor H Yamashita, D Sugimura, T Hamamoto Journal of Electronic Imaging 26 (4), 043017-043017, 2017 | 12 | 2017 |
| Low-light color image super-resolution using rgb/nir sensor T Honda, T Hamamoto, D Sugimura 2018 25th IEEE International Conference on Image Processing (ICIP), 56-60, 2018 | 11 | 2018 |
| Online background subtraction with freely moving cameras using different motion boundaries D Sugimura, F Teshima, T Hamamoto Image and Vision Computing 76, 76-92, 2018 | 11 | 2018 |
Yoichi SatoProfessor, Institute of Industrial Science, The University of TokyoE-mailová adresa ověřena na: iis.u-tokyo.ac.jp
