CVPR 2016 Papers by Japanese Authors | |||
19 papers (1 oral + 3 spotlights + 15 posters including 5 papers from overseas*) |
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Oral | |||
NetVLAD: CNN architecture for weakly supervised place recognition. | Relja Arandjelovic, Inria; Petr Gronat; Akihiko Torii, Tokyo Institute of Technology; Tomas Pajdla, Czech Technical University in Prague; Josef Sivic, | ||
Spotlights | |||
Recognizing Activities of Daily Living with a Wrist-mounted Camera. | Katsunori Ohnishi, The University of Tokyo; Asako Kanezaki, The University of Tokyo; Atsushi Kanehira, The University of Tokyo; Tatsuya Harada, University of Tokyo | ||
A Holistic Approach to Cross-Channel Image Noise Modeling and its Application to Image Denoising. | Seonghyeon Nam, Yonsei University; Youngbae Hwang, KETI; Yasuyuki Matsushita, Osaka University; Seon Joo Kim, Yonsei University | ||
Convolutional Pose Machines. | Shih-En Wei, Carnegie Mellon University; Varun Ramakrishna, Carnegie Mellon University; Takeo Kanade; Yaser Sheikh, Carnegie Mellon University | ||
Posters | |||
A Direct Least-Squares Solution to the PnP Problem with Unknown Focal Length. | Yinqiang Zheng, National Institute of Informatics, Japan; Laurent Kneip, Australian National University | ||
Exploiting Spectral-Spatial Correlation for Coded Hyperspectral Image Restoration. | Ying Fu, The University of Tokyo; Yinqiang Zheng, National Institute of Informatics, Japan; Imari Sato, National Institute of Informatics, Japan; Yoichi Sato, Univ of Tokyo | ||
Fashion Style in 128 Floats: Joint Ranking and Classification using Weak Data for Feature Extraction. | Edgar Simo-Serra, Waseda University; Hiroshi Ishikawa, Waseda University, Japan | ||
Gradient-Domain Image Reconstruction Framework with Intensity-Range and Base-Structure Constraints. | Takashi Shibata, NEC corporation; Masayuki Tanaka; Masatoshi Okutomi, Tokyo Institute of Technology | ||
Hierarchical Gaussian Descriptor for Person Re-Identification. | Tetsu Matsukawa, Kyushu University; Takahiro Okabe, Kyushu Institute of Technology; Einoshin Suzuki, Kyushu University; Yoichi Sato, Univ of Tokyo | ||
Joint Recovery of Dense Correspondence and Cosegmentation in Two Images. | Tatsunori Taniai, The University of Tokyo; Sudipta Sinha, Microsoft Research; Yoichi Sato, Univ of Tokyo | ||
Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature Learning. | Yusuke Mukuta, The University of Tokyo; Tatsuya Harada, University of Tokyo | ||
Multi-label Ranking from Positive and Unlabeled Data. | Atsushi Kanehira, University of Tokyo; Tatsuya Harada, University of Tokyo | ||
Recognizing Micro-Actions and Reactions from Paired Egocentric Videos. | Ryo Yonetani, The University of Tokyo; Kris Kitani, Carnegie Mellon University; Yoichi Sato, Univ of Tokyo | ||
Reconstructing Shapes and Appearances of Thin Film Objects using RGB Images. | Yoshie Kobayashi, Univ of Tokyo; Tetsuro Morimoto, Toppan Printing Co. Ltd.; Imari Sato, National Institute of Informatics; Yasuhiro Mukaigawa, NAIST; Takao Tomono, Toppan Printing Co. Ltd.; Katsushi Ikeuchi, Microsoft | ||
Recovering Transparent Shape from Time-of-Flight Distortion. | Kenichiro Tanaka, Osaka University; Yasuhiro Mukaigawa, NAIST; Hiroyuki Kubo, Nara Institude of Science and Technology; Yasuyuki Matsushita, Osaka University; Yasushi Yagi, Osaka University | ||
Structured Feature Similarity with Explicit Feature Map. | Takumi Kobayashi, National Institute of AIST | ||
Uncalibrated Photometric Stereo by Stepwise Optimization Using Principal Components of Isotropic BRDFs. | Keisuke Midorikawa, The University of Tokyo ; Toshihiko Yamasaki, The University of Tokyo; Kiyoharu Aizawa, | ||
Going Deeper into First-Person Activity Recognition. | Minghuang Ma, Carnegie Mellon University; HAOQI FAN, Carnegie Mellon University; Kris Kitani, Carnegie Mellon University | ||
Learning Action Maps of Large Environments via First-Person Vision. | Nicholas Rhinehart, Carnegie Mellon University; Kris Kitani, Carnegie Mellon University | ||
This list was
created by Tatsunori Taniai for his personal interest. The information is
possibly subject to inaccuracy due to manual extraction. Please contact me if
there is any error in the list. *Papers from overseas: If the first author of a paper is a Japanese person or belongs to an institution/company in Japan, or if the last author belongs to an institution/company in Japan, then the paper is categorized as a domestic paper. Otherwise, it is categorized as a "paper from overseas" by Japanese co-author(s). |
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Last update: 05/27/2016 |