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2020 – today
- 2023
[c31]Yackov Lubarsky, Alexei Gaissinski, Pavel Kisilev:
Efficient Spatio-Temporal Graph Neural Networks for Traffic Forecasting. AIAI (2) 2023: 109-120- 2022
- [c30]Felix Goldberg
, Yackov Lubarsky, Alexei Gaissinski, Dan Botchan, Pavel Kisilev:
Pruning Neural Nets by Optimal Neuron Merging. ICPRAI (1) 2022: 688-699 - 2020
- [i3]Yoni Choukroun, Michael Zibulevsky, Pavel Kisilev:
Primal-Dual Sequential Subspace Optimization for Saddle-point Problems. CoRR abs/2008.09149 (2020)
2010 – 2019
- 2019
- [c29]Yoni Choukroun, Eli Kravchik, Fan Yang, Pavel Kisilev:
Low-bit Quantization of Neural Networks for Efficient Inference. ICCV Workshops 2019: 3009-3018 - [i2]Yoni Choukroun, Eli Kravchik, Pavel Kisilev:
Low-bit Quantization of Neural Networks for Efficient Inference. CoRR abs/1902.06822 (2019) - 2018
- [j6]Anastasia Dubrovina, Pavel Kisilev, Boris Ginsburg, Sharbell Y. Hashoul, Ron Kimmel:
Computational mammography using deep neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(3): 243-247 (2018) - [c28]Amir Bennatan, Yoni Choukroun, Pavel Kisilev:
Deep Learning for Decoding of Linear Codes - A Syndrome-Based Approach. ISIT 2018: 1595-1599 - [i1]Amir Bennatan, Yoni Choukroun, Pavel Kisilev:
Deep Learning for Decoding of Linear Codes - A Syndrome-Based Approach. CoRR abs/1802.04741 (2018) - 2017
- [c27]Yoni Choukroun, Ran Bakalo, Rami Ben-Ari, Ayelet Akselrod-Ballin, Ella Barkan, Pavel Kisilev:
Mammogram Classification and Abnormality Detection from Nonlocal Labels using Deep Multiple Instance Neural Network. VCBM 2017: 11-19 - [c26]Jeremias Sulam, Rami Ben-Ari, Pavel Kisilev:
Maximizing AUC with Deep Learning for Classification of Imbalanced Mammogram Datasets. VCBM 2017: 131-135 - 2016
- [c25]Eli A. Meirom, Pavel Kisilev:
NuC-MKL: A Convex Approach to Non Linear Multiple Kernel Learning. AISTATS 2016: 610-619 - [c24]Tanveer F. Syeda-Mahmood, Eugene Walach, David Beymer, Flora Gilboa-Solomon, Mehdi Moradi, Pavel Kisilev, Deepika Kakrania, Colin B. Compas, Hongzhi Wang, Mohammadreza Negahdar, Yu Cao, Tyler Baldwin, Yufan Guo, Yaniv Gur, Deepta Rajan, Aviad Zlotnick, Simona Rabinovici-Cohen, Rami Ben-Ari, Guy Amit, Prasanth Prasanna, J. Morey, Orest B. Boyko, Sharbell Y. Hashoul:
Medical sieve: a cognitive assistant for radiologists and cardiologists. Computer-Aided Diagnosis 2016: 97850A - [c23]Pavel Kisilev, Eli Sason, Ella Barkan, Sharbell Y. Hashoul:
Medical Image Description Using Multi-task-loss CNN. LABELS/DLMIA@MICCAI 2016: 121-129 - 2015
- [j5]Pavel Kisilev, Eugene Walach, Ella Barkan, Boaz Ophir, Sharon Alpert, Sharbell Y. Hashoul:
From medical image to automatic medical report generation. IBM J. Res. Dev. 59(2/3) (2015) - [c22]Pavel Kisilev, Eugene Walach, Sharbell Y. Hashoul, Ella Barkan, Boaz Ophir, Sharon Alpert:
Semantic description of medical image findings: structured learning approach. BMVC 2015: 171.1-171.11 - [c21]Guy Amit, Sharbell Y. Hashoul, Pavel Kisilev, Boaz Ophir, Eugene Walach, Aviad Zlotnick:
Automatic Dual-View Mass Detection in Full-Field Digital Mammograms. MICCAI (2) 2015: 44-52 - [c20]Miri Erihov, Sharon Alpert, Pavel Kisilev, Sharbell Y. Hashoul:
A Cross Saliency Approach to Asymmetry-Based Tumor Detection. MICCAI (3) 2015: 636-643 - 2014
- [c19]Pavel Kisilev, Sharbell Y. Hashoul, Eugene Walach, Asaf Tzadok:
Lesion classification using clinical and visual data fusion by multiple kernel learning. Computer-Aided Diagnosis 2014: 90351C - [c18]Sharon Alpert, Pavel Kisilev:
Unsupervised detection of abnormalities in medical images using salient features. Image Processing 2014: 903416 - 2012
- [c17]Pavel Kisilev, Daniel Freedman, Eugene Walach, Asaf Tzadok, Yehuda Naveh:
DFlow and DField: New features for capturing object and image relationships. ICPR 2012: 3590-3593 - [c16]Anastasia Dubrovina, Pavel Kisilev, Daniel Freedman, Sagi Schein, Ruth Bergman:
Efficient and robust image descriptor for GUI object classification. ICPR 2012: 3594-3597 - 2011
- [j4]Marie Vans, Sagi Schein, Carl Staelin, Pavel Kisilev, Steven J. Simske, Ram Dagan, Shlomo Harush:
Automatic visual inspection and defect detection on variable data prints. J. Electronic Imaging 20(1): 013010 (2011) - [c15]Pavel Kisilev, Yohanan Sivan, Michal Aharon, Renato Keshet, Carl Staelin, Gregory Braverman, Shlomo Harush:
Local Gray Component Replacement Using Image Analysis. CIC 2011: 234-238 - 2010
- [j3]Daniel Freedman, Pavel Kisilev:
Computing Color Transforms with Applications to Image Editing. J. Math. Imaging Vis. 37(3): 220-231 (2010) - [j2]Daniel Freedman, Pavel Kisilev:
KDE Paring and a Faster Mean Shift Algorithm. SIAM J. Imaging Sci. 3(4): 878-903 (2010) - [c14]Pavel Kisilev, Daniel Freedman:
Parameter Tuning from Pairwise Preferences. BMVC 2010: 1-11 - [c13]Daniel Freedman, Pavel Kisilev:
Object-to-object color transfer: Optimal flows and SMSP transformations. CVPR 2010: 287-294 - [c12]Pavel Kisilev, Sagi Schein:
Real-time video enhancement for high quality videoconferencing. MMSP 2010: 454-459
2000 – 2009
- 2009
- [c11]Daniel Freedman, Pavel Kisilev:
Fast Mean Shift by compact density representation. CVPR 2009: 1818-1825 - [c10]Daniel Freedman, Pavel Kisilev:
Fast Data Reduction via KDE Approximation. DCC 2009: 445 - [c9]Suk Hwan Lim, Ron Maurer, Pavel Kisilev:
Denoising scheme for realistic digital photos from unknown sources. ICASSP 2009: 1189-1192 - [c8]Pavel Kisilev, Daniel Freedman:
Color Transforms for Creative Image Editing. CIC 2009: 284-289 - 2008
- [c7]Pavel Kisilev:
Automatic context-aware dust and scratch removal in scanned images. ICIP 2008: 2628-2631 - 2007
- [c6]Pavel Kisilev, Doron Shaked, Suk Hwan Lim:
Noise and Signal Activity Maps for Better Imaging Algorithms. ICIP (2) 2007: 117-120 - 2003
- [j1]Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi:
A Multiscale Framework For Blind Separation of Linearly Mixed Signals. J. Mach. Learn. Res. 4: 1339-1363 (2003) - [c5]Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi:
Blind separation of mixed images using multiscale transforms. ICIP (1) 2003: 309-312 - [c4]Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi:
Blind separation of mixed images using multiscale transforms. VCIP 2003: 990-997 - 2001
- [c3]Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi:
Blind source separation using multinode sparse representation. ICIP (3) 2001: 202-205 - [c2]Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi:
Wavelet representation and total variation regularization in emission tomography. ICIP (1) 2001: 702-705 - [c1]Michael Zibulevsky, Pavel Kisilev, Yehoshua Y. Zeevi, Barak A. Pearlmutter:
Blind Source Separation via Multinode Sparse Representation. NIPS 2001: 1049-1056
Coauthor Index
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