For Ishikawa's older papers, see his personal page.

Papers

Kosuke Fukano, Yoshihiko Mochizuki, Edgar Simo-Serra, Satoshi Iizuka, Akihiro Sugimoto, and Hiroshi Ishikawa, "Room Reconstruction from a Single Spherical Image by Higher-Order Energy Minimization," 23rd International Conference on Pattern Recognition (ICPR2016), Cancun, Mexico. December 4-8, 2016.

Tomohiro Ishii, Edgar Simo-Serra, Satoshi Iizuka, Yoshihiko Mochizuki, Akihiro Sugimoto, Hiroshi Ishikawa, and Ryosuke Nakamura, "Detection by Classification of Buildings in Multispectral Satellite Imagery," 23rd International Conference on Pattern Recognition (ICPR2016), Cancun, Mexico. December 4-8, 2016.

Satoshi Iizuka, Edgar Simo-Serra, and Hiroshi Ishikawa (2016), "Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification". ACM Transactions on Graphics, Volume 35, Issue 4 (Proc. of SIGGRAPH2016), Article 110, July 2016.

Edgar Simo-Serra, Satoshi Iizuka, Kazuma Sasaki, and Hiroshi Ishikawa (2016), "Learning to Simplify: Fully Convolutional Networks for Rough Sketch Cleanup". ACM Transactions on Graphics, Volume 35, Issue 4 (Proc. of SIGGRAPH2016), Article 121, July 2016.

Edgar Simo-Serra and Hiroshi Ishikawa (2016), "Fashion Style in 128 Floats: Joint Ranking and Classification using Weak Data for Feature Extraction". The 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2016), Las Vegas, Nevada. June 26-July 1, 2016.

Yoshiro Kitamura, Yuanzhong Li, Wataru Ito, Hiroshi Ishikawa (2016), "Data-Dependent Higher-Order Clique Selection for Artery–Vein Segmentation by Energy Minimization". International Journal of Computer Vision, Volume 117, Issue 2, pp 142-158, April 2016.

Tsutomu Inoue, Yoshiro Kitamura, Yuanzhong Li, Wataru Ito, and Hiroshi Ishikawa (2015), "Psoas Major Muscle Segmentation Using Higher-Order Shape Prior". MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data (MICCAI-MCV 2015), Oct. 9, 2015, Munich, Germany.

Tomohiro Ishii, Yoshihiko Mochizuki, Hidemoto Nakada, Ryosuke Nakamura, and Hiroshi Ishikawa (2015), "Surface Object Recognition with CNN and SVM in Landsat 8 Images". The 14th IAPR Conference on Machine Vision Applications (MVA 2015), May 18-22, 2015, Tokyo, Japan.

Naoki Kobayashi, Yuji Oyamada, Yoshihiko Mochizuki, and Hiroshi Ishikawa (2015), "Three-DoF Pose Estimation of Asteroids by Appearance-based Linear Regression with Divided Parameter Space". The 14th IAPR Conference on Machine Vision Applications (MVA 2015), May 18-22, 2015, Tokyo, Japan.

Minato Morita, Asuka Okagawa, Yuji Oyamada, Yoshihiko Mochizuki, and Hiroshi Ishikawa (2015), "Multiple-Organ Segmentation Based on Spatially-Divided Neighboring Data Energy". The 14th IAPR Conference on Machine Vision Applications (MVA 2015), May 18-22, 2015, Tokyo, Japan.

Asuka Okagawa, Yoshihiko Mochizuki, Yuji Oyamada, and Hiroshi Ishikawa (2015), "Multi-Organ Segmentation by Minimization of Higher-Order Energy for CT Boundary". The 14th IAPR Conference on Machine Vision Applications (MVA 2015), May 18-22, 2015, Tokyo, Japan.

Lukas Prasuhn, Yuji Oyamada, Yoshihiko Mochizuki, and Hiroshi Ishikawa (2014), "A HOG-Based Hand Gesture Recognition System on a Mobile Device". The IEEE International Conference on Image Processing (ICIP2014), October 27-30, 2014, Paris, France.

Yoshiro Kitamura, Yuanzhong Li, Wataru Ito, Hiroshi Ishikawa (2014), "Coronary Lumen and Plaque Segmentation from CTA Using Higher-Order Shape Prior". In the 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2014), September 14-18, 2014, Boston, MA, USA.

Hiroshi Ishikawa (2014), "Higher-Order Clique Reduction Without Auxiliary Variables". In the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR2014), June 23-28, 2014, Columbus, OH, USA. pp. 1362-1369.

Yoshiro Kitamura, Yuanzhong Li, Wataru Ito, Hiroshi Ishikawa (2013), "Adaptive higher-order submodular potentials for pulmonary artery-vein segmentation". In the Fifth International Workshop on Pulmonary Image Analysis, September 26, 2013, Nagoya, Japan.

Thomas Windheuser, Hiroshi Ishikawa, and Daniel Cremers (2012), "Generalized Roof Duality for Multi-Label Optimization: Optimal Lower Bounds and Persistency" PDF. In the Twelfth European Conference on Computer Vision (ECCV2012), October 7-13, 2012, Firenze, Italy. Lecture Notes in Computer Science 7577, pp. 400-413, Springer-Verlag.

Hiroshi Ishikawa (2011), "Transformation of General Binary MRF Minimization to the First Order Case" PDF. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 6, pp. 1234-1249, June 2011.

Talks, etc.

Hiroshi Ishikawa, "Automatic Image Colorization and Rough Sketch Cleanup by Deep Learning", ACCV2016 Area Chairs Workshop, Aug. 15, 2016, Keelung Evergreen Laurel Hotel, Taiwan.

Hiroshi Ishikawa, "MAP Estimation of Markov Random Fields with Some Applications in Medical Imaging" (invited talk), Probabilistic Graphical Model Workshop: Sparsity, Structure and High-dimensionality, Mar. 23, 2016, The Institute of Statistical Mathematics (ISM), Tokyo, Japan.

Hiroshi Ishikawa, "Higher-Order Graph Cuts and Medical Image Segmentation" (invited talk) Mathematical and Computational Methods in Biomedical Imaging and Image Analysis (MCBMIIA2015), Nov. 24, 2015. University of Auckland, New Zealand.

Hiroshi Ishikawa, "Higher-order Graph Cuts," ACCV2014 Area Chairs Workshop, Sep. 3, 2014, Nanyang Technological University, Singapore.

Hiroshi Ishikawa, "Proposal Selection in Higher-order Graph Cuts", Jul. 10, 2012. In 25th European Conference on Operational Research (EURO2012), Vilnius, Lithuania.

Book Chapters

Hiroshi Ishikawa, "Graph Cuts—Combinatorial Optimization in Vision" (Chapter 2), In Image Processing and Analysis with Graphs: Theory and Practice, Edited by Olivier Lézoray and Leo Grady, CRC Press, July 2012. ISBN: 978-1-439-855072.

Hiroshi Ishikawa and Olga Veksler, "Optimizing Multi-Label MRFs with Convex and Truncated Convex Priors" (Chapter 4), In Markov Random Fields for Vision and Image Processing, Edited by Andrew Blake, Pushmeet Kohli, and Carsten Rother, MIT Press, September 2011. ISBN: 978-0-262-01577-6.