Selected papers
Y. Zhong and A. Maki, "Regularizing CNN Transfer Learning with Randomised Regression", In Proc. of CVPR (IEEE Conference Computer Vision and Pattern Recognition), Seattle, USA, 2020.
M. Nordström, H. Bao, F. Löfman, H. Hult, A. Maki, and M. Sugiyama, "Calibrated Surrogate Maximizatino of Dice", In Proc. of MICCAI (International Conference on Medical Image Computing and Computer Assisted Intervention), 2020.
A. Maki, "Towards Principled Regularization of Deep Networks – from Weight Decay to Feature Contraction". Science Robotics, 4(30), DOI: 10.1126/scirobotics.aaw1329, 2019. [PDF]
M. Valan, K. Makonyi, A. Maki, D. Vondráček, F. Ronquist, "Automated Taxonomic Identification of Insects with ExpertLevel Accuracy Using Effective Feature Transfer from Convolutional Networks", Systematic Biology, https://doi.org/10.1093/sysbio/syz014, 2019.
D. Feng, X. Wei, L. Rosenbaum, A. Maki, K. Dietmayer, "Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector", In Proc. of the 30th Intelligent Vehicle Symposium (IV), pp. 667-674, 2019.
M. Nordström, J. Soderberg, N. Shusharina, F. Löfman, H. Hult, and A. Maki, "Interactive Deep Learning-Based Delineation of Gross Tumor Volume for Postoperative Glioma Patients", In Proc. of 61st Annual Meeting & Exhibition, The American Association of Physicists in Medicine (AAPM), 2019.
V. Li and A. Maki, "Feature Contraction: New ConvNet Regularization in Image Classification", In Proc. of BMVC (British Machine Vision Conference), 2018. [PDF]
Y. Zhong, V. Li, R. Okada and A. Maki, "Target Aware Network Adaptation for Efficient Representation Learning ", In Proc. of ECCV (European Conference on Computer Vision) Workshop, pp. 450-467, 2018.
M. Buda, A. Maki, and M. Mazurowski, "A systematic study of the class imbalance problem in convolutional neural networks", In Neural Networks, CoRRabs/1711.00146, 2018.
S. Nawata, A. Maki, and T. Hikihara, "Power packet transferability via symbol propagation matrix", In Proc. of Royal Society of London A, 2018. [PDF]
M. Nordström, H. Hult, A. Maki and F. Löfman, "Pareto dose prediction using fully convolutional networks operating in 3D", In Proc. of 60th Annual Meeting & Exhibition, The American Association of Physicists in Medicine (AAPM), 2018.
O. Holesovsky and A. Maki, "Compact ConvNets with Ternary Weights and Binary Activations", In Proc. of the 23rd Computer Vision Winter Workshop, pp. 1-8, 2018.
M. Marti and A. Maki, "A multitask deep learning model for real-time deployment in embedded systems", CoRRabs/1711.00146, 2017.
A. Ghadirzadeh, A. Maki, D. Kragic, and M. Björkman, "Deep predictive policy training using reinforcement learning", In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2351-2358, 2017.
H. Azizpour, A. Razavian, J. Sullivan, A. Maki, and S. Carlsson, "Factors of Transferability for a Generic ConvNet Representation", IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 38(9), pp. 1790-1802, 2016. [PDF]
V. Högman, M. Björkman, A. Maki, and D. Kragic, "A Sensorimotor Learning Framework for Object Categorization", IEEE Transaction on Cognitive and Developmental Systems, 8(1) pp. 15-25, 2016.
J. Johansson, M. Solli, and A. Maki, "An Evaluation of Local Feature Detectors and Descriptors for Infrared Images", In Proc. of European Conference on Computer Vision (ECCV) Workshop, pp. 711-723, 2016. [PDF]
A. Ghadirzadeh, J. Bütepage, A. Maki, D. Kragic, and M. Björkman, "A sensorimotor reinforcement learning framework for physical human-robot interaction.", In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2682-2688, 2016.
A. Razavian, J. Sullivan, S. Carlsson, and A. Maki, "Visual Instance Retrieval with Deep Convolutional Networks", ITE Trans. on MTA Vol. 4, No. 3, pp. 251-258, 2016 (a preliminary version appeared in Proc. of 3rd ICLR-WS ). (The Niwa-Takayanagi best paper prize.) [PDF]
K. Fukui and A. Maki, "Difference Subspace and Its Generalization for Subspace-Based Methods", IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 37(11), pp. 2164-2177, 2015. [PDF]
H. Azizpour, A. Razavian, J. Sullivan, A. Maki, and S. Carlsson, "From Generic to Specific Deep Representations for Visual Recognition", In Proc. of the IEEE Conference Computer Vision and Pattern Recognition (CVPR) Workshop, Deep Vision, Boston, U.S.A., 2015. (The best paper award) [PDF]
A. Ghadirzadeh, A. Maki, and M. Björkman, "A Sensorimotor Approach for Self-Learning of Hand-Eye Coordination", In Proc of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4969-4975, Hamburg, Germany, 2015. [PDF]
A. Razavian, H. Azizpour, A. Maki, J. Sullivan, C.-H. Ek, and S. Carlsson, "Persistent Evidence of Local Image Properties in Generic ConvNets", In Proc. of the 19th Scandinavian Conference on Image Analysis (SCIA), Copenhagen, Denmark, 2015. [PDF]
R. Norlander, J. Grahn, and A. Maki, "Wooden Knot Detection Using ConvNet Transfer Learning", In Proc. of the 19th Scandinavian Conference on Image Analysis (SCIA), Copenhagen, Denmark, 2015. [PDF]
A. Razavian, J. Sullivan, A. Maki, and S. Carlsson, "Baseline for Visual Instance Retrieval with Deep Convolutional Networks", In Proc. of the 3rd International Conference on Learning Representation (ICLR) Workshop, San Diego, U.S.A, 2015.
M. Brudfors, A. Seitel, A. Rasoulian, A Lasso, V. A. Lessoway, J. Osborn, A. Maki, R. N. Rohling, and P. Abolmaesumi, “Towards Real-time, Tracker-less 3DUltrasound Guidance for Spine Anaesthesia”, International Journal of Computer Assisted Radiology and Surgery, 10(6), pp. 855-865, 2015. [PDF]
M.-T. Pham, O. Woodford, F. Perbet, A. Maki, B. Stenger, R. Gherardi, and R. Cipolla, "Distances and Means of Direct Similarities", International Journal of Computer Vision, 112(3), pp. 285-306, 2015. [PDF]
A. Ghadirzadeh, G Kootstra, A. Maki, and M. Björkman, “Learning visual forward models to compensate for self-induced image motion”, In Proc. of IEEE International Symposium on Robot and Human Interactive Communication, pp. 1110-1115, September 2014.
O. Woodford, M.-T. Pham, A. Maki, F. Perbet, and B. Stenger, "Demisting the Hough Transform for 3D Shape Recognition and Registration", International Journal of Computer Vision, 106(3), pp. 332-341, 2014. [PDF]
(Last updated in February 2020)
Publications 2009-2013
A. Maki, F. Perbet, B. Stenger, and R. Cipolla, "Detecting Bipedal Motion from Correlated Probabilistic Trajectories", Pattern Recognition Letters, pp. 1808-1818, 34(15), 2013.[PDF]
H. Mizuyama, K. Yamada, K. Tanaka, and A. Maki, "Explanatory Analysis of the Manner in which an Instructor Adaptively Organizes Skilled Motion Teaching Process", International Journal of Industrial Ergonomics, 43(5), pp.430-438, 2013.
A. Maki and R. Gherardi, “Conditional Variance of Differences: A Robust Similarity Measure for Matching and Registration”, In Proc. of SPR (IAPR International Workshops on Statistical Techniques in Pattern Recognition), Hiroshima, November 2012. [PDF]
M. Peris, A. Maki, S. Martull, Y. Okawa, and K. Fukui, “Towards a Simulation Driven Stereo Vision System”, In Proc. of the 21st ICPR (IAPR International Conference on Pattern Recognition), Tsukuba, November 2012. [PDF]
O. Woodford, M.-T. Pham, A. Maki, R. Gherardi, B. Stenger, and F. Perbet, "Contraction Moves for Geometric Model Fitting", In Proc. of ECCV (European Conference on Computer Vision), October 2012.
F. Perbet, B. Stenger, and A. Maki, "Homogeneous Superpixels from Markov Random Walks", IEICE Transaction on Information and Systems, E95-D(7), pp. 1740- 1748, 2012.
M.-T. Pham, O. Woodford, F. Perbet, A. Maki, B. Stenger, and R. Cipolla, "A New Distance for Scale-Invariant 3D Shape Recognition and Registration", In Proc. of the 13th ICCV (IEEE International Conference on Computer Vision), November 2011. [PDF]
A. Maki, A. Seki, T. Watanabe, and R. Cipolla, "Co-occurrence Flow for Pedestrian Detection", In Proc. of the 18th ICIP (IEEE International Conference on Image Processing), Brussels, Belgium, September 2011. (The best paper award finalist)
O. Woodford, M.-T. Pham, A. Maki, F. Perbet, and B. Stenger, "Demisting the Hough Transform for 3D Shape Recognition and Registration", In Proc. of the 22nd BMVC (British Machine Vision Conference), Dundee, UK, September 2011.[PDF]
B. Sajadi, A. Majumder, K. Hiwada, A Maki, and R. Raskah, "Switchable Primaries Using Shiftable Layers of Colof Filter Arrays", ACM Trans.on Graphics(TOG),30(4): 65, Speicial Issue on SIGGRAPH, 2011.
F. Perbet and A. Maki "Homogeneous Superpixels from Random Walks", In Proc. of the 12th MVA (IAPR Conference on Machine Vision Applications), pp.26-30, Nara, Japan, June 2011. (The best paper award) [PDF]
H. Mizuyama, K.Yamada, A. Maki, and K. Tanaka, “A Semiotic Characterization of the Process of Teaching and Learning a Skilled Motion Taking Wok Handling as an Example”, In Proc. of the 11th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, Valenciennes, France, September 2010. (The best young researcher paper award)
A. Maki, "Data Clustering Based on Random Space Partitioning", ISCIE Journal 'Systems, Control and Information' 54(2), pp. 66-71 (in Japanese), 2010.
T. Takai, S. Iino, A. Maki, and T. Matsuyama, "3D Lighting Environment Estimation with Shading and Shadows", a book chapter of Image and Geometry Processing for 3D Cinematography, Springer, 2010.
D. Comanducci, A. Maki, C. Colombo, and R. Cipolla, "2D-3D Photo Rendering for 3D Displays", In Proc. of 3DPVT (3D Data processing, Visualization and Transmission), Paris, France, May 2010. [PDF]
J. Starck, A. Maki, S. Nobuhara, A. Hilton, and T. Matsuyama, “The Multiple-Camera 3-D Production Studio”, IEEE Trans. on Circuits and Systems for Video technology(CSVT), 19(6), pp. 856-869, 2009.
T. Takai, A. Maki, K. Niinuma, and T. Matsuyama, "Difference Sphere: An Approach to Near Light Source Estimation", Computer Vision and Image Understanding(CVIU), 113(7), pp. 966-978, 2009. [PDF]
F. Perbet, A. Maki, and B. Stenger, "Correlated Probabilistic Trajectories for Pedestrian Motion Detection", In Proc. of the 12th ICCV (IEEE International Conference on Computer Vision), pp.1647-1654, Kyoto, Japan, September 2009. [PDF]
F. Perbet, B. Stenger, and A. Maki, "Random Forest Clustering and Application to Video Segmentation” Proc. of the 20th BMVC (British Machine Vision Conference), London, UK, September 2009. [PDF]
A. Maki and R. Cipolla, "Obtaining the Shape of a Moving Object with a Specular Surface", In Proc. of the 20th BMVC (British Machine Vision Conference), London, UK, September 2009. [PDF]
Publications 2004-2008
A. Maki, Y. Hatanaka, and T. Matsuyama, “Tracking features on a moving object using local image bases”, In Proc. of the 19th ICPR (IAPR International Conference on Pattern Recognition), Florida, USA, December 2008.
T. Mukasa, A. Miyamoto, S. Nobuhara, A. Maki, and T, Matsuyama, “Complex human motion estimation using visibility”, In Proc. of 8th FG (IEEE International Conference on Automatic Face and Gesture Recognition), Amsterdam, The Netherland, September 2008.
T. Takai, A. Maki, and T. Matsuyama, "Self Shadows and Cast Shadows in Estimating illumination distribution", In Proc. of CVMP (European Conference on Visual Medial Production), London, UK, November 2007.
M. Nishino, A. Maki, and T. Matsuyama, "Phase-Based Feature Matching Under Illumination Variances", Lecture Notes in Artificial Intelligence,Vol.4570: IEA/AIE 2007, pp.94-104, 2007.
T. Mukasa, S. Nobuhara, A. Maki, and T. Matsuyama, "Finding Articulated Body in Time-Series 3D Volume Data", Lecture Notes in Computer Science Vol.4069: AMDO 2006, pp. 395-404, 2006.
A. Maki, "3D Surface Reconstruction of a Moving Object in the Presence of Specular Reflection", Lecture Notes in Computer Science Vol.3617: ICIAP 2005, pp. 867- 875, 2005.
T. Takai, K. Niinuma, A. Maki, and T. Matsuyama, "Difference Sphere: An Approach to Near Light Source Estimation", In Proc. of CVPR (IEEE Conference Computer Vision and Pattern Recognition), pp. I-98-105, Washington DC, USA, June 2004.
A. Maki and K. Fukui, "Ship Identification in Sequential ISAR Imagery", Machine Vision and Applications, 15(3), pp. 149-155, 2004.
A. Maki, "Photometric Subspace for Multibody Motion Segmentation", Image and Vision Computing, 22(8), pp. 655-662, 2004.
Publications 1997-2003
K. Hiwada, A. Maki, and A. Nakashima, "Mimicking Video: Real-Time Morphable 3D Model Fitting", In Proc. of the 10th VRST (ACM Symposium on Virtual Reality Software and Technology), pp.132-139, Osaka, Japan, October 2003.
A. Nakashima and A. Maki, "Synthesizing Pose and Lighting Variation from Object Motion", In Proc. of the 10th ICIP (IEEE International Conference on Image Processing), pp. 725-728, Barcelona, Spain, September 2003.
A. Maki, M. Watanabe, and C. S. Wiles, "Geotensity: Combining Motion and Lighting for 3D Surface Reconstruction", International Journal of Computer Vision (IJCV), 48(2), pp. 75-90, 2002. [PDF]
A. Nakashima, A. Maki, and K. Fukui, "Constructing Illumination Image Basis from Object Motion", Lecture Notes in Computer Science Vol.2352, ECCV 2002, pp. 195- 209, 2002.
R. Okada, A. Maki, Y. Taniguti, and K. Onoguchi, "Temporally Evaluated Optical Flow: Study on Accuracy", In Proc. of the 16th ICPR (IAPR International Conference on Pattern Recognition), pp. 343-347, Quebec, Canada, August 2002.
A. Maki, K. Fukui, Y. Kawawada, and M. Kiya, "Automatic Ship Identification in ISAR Imagery: An On-line System using CMSM", In Proc. of RADAR-Con02 (IEEE Radar Conference), pp. 206-211, Long Beach, USA, April 2002.
C. S. Wiles, A. Maki, and N. Matsuda, "Hyper-Patches for 3D Model Acquisition and Tracking", IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 23(12), pp. 1391-1403, 2001. [PDF]
A. Maki and H. Hattori, "Illumination Subspace for Multibody Motion Segmentation", In Proc. of CVPR (IEEE Conference Computer Vision and Pattern Recognition), pp. II-11-17, Kauai, USA, December 2001.
A. Maki, K. Fukui, K. Onoguchi, and K. Maeda, "ISAR Image Analysis by Subspace Method: Automatic Extraction and Identification of Ship Profile", In Proc. of the 11th ICIAP (IAPR International Conference on Image Analysis and Processing), pp. 523-528, Palermo, Italy, September 2001.
A. Maki and C.S. Wiles, "Geotensity constraint for 3D surface reconstruction under multiple light sources", Lecture Notes in Computer Science Vol.1842, ECCV 2000, pp.725-741, 2000.
A. Maki, "Estimation of Illuminant Direction and Surface Reconstruction by Geotensity Constraint", Pattern Recognition Letters - Selected papers from the 11th Scandinavian Conference on Image Analysis, pp. 1115-1123, 21(13-14), 2000.
A. Maki, P. Nordlund, and J.-O. Eklundh, "Attentional Scene Segmentation Integrating Depth and Motion", Computer Vision and Image Understanding (CVIU), 78(3), pp. 351-373, 2000. [PDF]
H. Hattori and A. Maki, "Stereo without Depth Search and Metric Calibration", In Proc. of CVPR (IEEE Conference Computer Vision and Pattern Recognition), pp. 177-184, South Carolina, USA, June 2000.
A. Maki, "Estimation of Illuminant Direction and Surface Reconstruction by Geotensity Constraint", In Proc. of the 11th SCIA (Scandinavian Conference on Image Analysis), pp.71-78, Greenland, Denmark, June 1999.
H. Hattori and A. Maki, "Stereo Matching with Direct Surface Orientation Recovery", In Proc. of the 9th BMVC (British Machine Vision Conference), pp. 356-366, Southampton, England, September 1998.
A. Maki, M. Watanabe, and C.S. Wiles, "Geotensity: Combining Motion and Lighting for 3D Surface Reconstruction", In Proc. of the 6th ICCV (IEEE International Conference on Computer Vision), pp. 1053-1060, Mumbai (Bombay), India, January 1998.
C.S. Wiles, A. Maki, N. Matsuda, and M. Watanabe, "Hyper-Patches for 3D Model Acquisition and Tracking", In Proc. of CVPR (IEEE Conference Computer Vision and Pattern Recognition), pp. 1074-1080, San Juan, Puerto Rico, June 1997.
Publications 1991-1996
J.-O. Eklundh, T. Uhlin, P. Nordlund, and A. Maki, “Developing an Active Observer”, Lecture Notes in Computer Science Vol.1035, Recent Developments in Computer Vision (S. Li ed.), pp. 181-190, 1996.
J.-O. Eklundh, T. Uhlin, P. Nordlund, and A. Maki, "Active Vision and Seeing Robots", Lecture Notes in Computer Science, Robotics Research (G. Giralt and G. Hirzinger eds.): SRR, pp. 416-427, 1996.
A. Maki, T. Uhlin, and J.-O. Eklundh, "A Direct Disparity Estimation Technique for Depth Segmentation", In Proc. of the 5th IAPR Workshop on MVA (Machine Vision Applications), pp.530-533, Kawasaki, Japan, November 1996.
A. Maki, P. Nordlund, and J.-O. Eklundh, "A Computational Model of Depth-Based Attention", In Proc. of the 13th ICPR (IAPR International Conference on Pattern Recognition), pp. 734-739, Vienna, Austria, August 1996.
A. Maki and T. Uhlin, "Disparity Selection in Binocular Pursuit", IEICE Transaction on Information and Systems, E78-D(12), pp. 1591-1597, 1995.
A. Maki, L. Bretzner, and J.-O. Eklundh, "Local Fourier Phase and Disparity Estimates: An Analytical Study", Lecture Notes in Computer Science Vol.970, CAIP’95, pp. 868-873, 1995.
J.-O. Eklundh, T. Uhlin, P. Nordlund, and A. Maki, "Developing an Active Observer", In Proc. of the 2nd ACCV (Asian Conference on Computer Vision), pp. 783-787, Singapore, December 1995.
T. Uhlin, P. Nordlund, A. Maki, and J.-O. Eklundh, "Towards an Active Visual Observer", In Proc. of the 5th ICCV (IEEE International Conference on Computer Vision), pp. 679-686, Cambridge, MA, USA, June 1995.
A. Maki, T. Uhlin, and J.-O. Eklundh, "Disparity Selection in Binocular Pursuit", In Proc. of the 4th IAPR Workshop on MVA (Machine Vision Applications), pp. 182-185, Kawasaki, Japan, December 1994. (Most influential paper over the decade award)
A. Maki, J. Gårding, and J.-O. Eklundh, "2-D Phase-Based Ground Plane Obstacle Detection'', In Proc. of the 33rd Annual Conference of SICE, pp. 725-728, Tokyo, Japan, July 1994. (SICE young researcher award)
A. Maki, T. Uhlin, and J.-O. Eklundh, "Phase-Based Disparity Estimation in Binocular Tracking", In Proc. of the 8th SCIA (Scandinavian Conference on Image Analysis), pp. 1145-1152, University of Tromsø, Norway, May 1993.
A. Maki, F. Harashima, T. Uhlin, and J.-O. Eklundh, "Phase-Based Disparity Estimation in Binocular Vergence'', In Proc. of the 37th Annual Conference of ISCIE, pp. 309-310, Osaka, Japan, May 1993.
Y. Nishikawa, H. Tamaki, and A. Maki, "A Decomposition Method of Jobshop Scheduling", Transaction of SICE, 27(5), pp. 607-613, 1991. (in Japanese)