Pavel Kisilev

43 papers A* 2A 3B 6C 2Misc 1Journal 11Unranked 18
YearRankTypeTitle / Venue / Authors
2025 J jnl
Rethinking Data: Towards Better Performing Domain-Specific Small Language Models.
CoRR
Boris Nazarov, Darya Frolova, Yackov Lubarsky, Alexei Gaissinski, Pavel Kisilev
2024 J jnl
Adaptive Consensus Gradients Aggregation for Scaled Distributed Training.
CoRR
Yoni Choukroun, Shlomi Azoulay, Pavel Kisilev
2024 — conf
Rethinking Data: Towards Better Performing Domain-Specific Small Language Models.
GLOBECOM (Workshops)
Boris Nazarov, Darya Frolova, Yackov Lubarsky, Alexei Gaissinski, Pavel Kisilev
2023 — conf
Efficient Spatio-Temporal Graph Neural Networks for Traffic Forecasting.
AIAI (2)
Yackov Lubarsky, Alexei Gaissinski, Pavel Kisilev
2022 — conf
Pruning Neural Nets by Optimal Neuron Merging.
ICPRAI (1)
Felix Goldberg, Yackov Lubarsky, Alexei Gaissinski, Dan Botchan, Pavel Kisilev
2020 J jnl
Primal-Dual Sequential Subspace Optimization for Saddle-point Problems.
CoRR
Yoni Choukroun, Michael Zibulevsky, Pavel Kisilev
2019 — conf
Low-bit Quantization of Neural Networks for Efficient Inference.
ICCV Workshops
Yoni Choukroun, Eli Kravchik, Fan Yang, Pavel Kisilev
2019 J jnl
Low-bit Quantization of Neural Networks for Efficient Inference.
CoRR
Yoni Choukroun, Eli Kravchik, Pavel Kisilev
2018 J jnl
Computational mammography using deep neural networks.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
Anastasia Dubrovina, Pavel Kisilev, Boris Ginsburg, Sharbell Y. Hashoul, Ron Kimmel
2018 B conf
Deep Learning for Decoding of Linear Codes - A Syndrome-Based Approach.
ISIT
Amir Bennatan, Yoni Choukroun, Pavel Kisilev
2018 J jnl
Deep Learning for Decoding of Linear Codes - A Syndrome-Based Approach.
CoRR
Amir Bennatan, Yoni Choukroun, Pavel Kisilev
2017 — conf
Mammogram Classification and Abnormality Detection from Nonlocal Labels using Deep Multiple Instance Neural Network.
VCBM
Yoni Choukroun, Ran Bakalo, Rami Ben-Ari, Ayelet Akselrod-Ballin, Ella Barkan, Pavel Kisilev
2017 — conf
Maximizing AUC with Deep Learning for Classification of Imbalanced Mammogram Datasets.
VCBM
Jeremias Sulam, Rami Ben-Ari, Pavel Kisilev
2016 — conf
Medical Image Description Using Multi-task-loss CNN.
LABELS/DLMIA@MICCAI
Pavel Kisilev, Eli Sason, Ella Barkan, Sharbell Y. Hashoul
2016 — conf
Medical sieve: a cognitive assistant for radiologists and cardiologists.
Computer-Aided Diagnosis
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
2016 A conf
NuC-MKL: A Convex Approach to Non Linear Multiple Kernel Learning.
AISTATS
Eli A. Meirom, Pavel Kisilev
2015 — conf
A Cross Saliency Approach to Asymmetry-Based Tumor Detection.
MICCAI (3)
Miri Erihov, Sharon Alpert, Pavel Kisilev, Sharbell Y. Hashoul
2015 — conf
Automatic Dual-View Mass Detection in Full-Field Digital Mammograms.
MICCAI (2)
Guy Amit, Sharbell Y. Hashoul, Pavel Kisilev, Boaz Ophir, Eugene Walach, Aviad Zlotnick
2015 J jnl
From medical image to automatic medical report generation.
IBM J. Res. Dev.
Pavel Kisilev, Eugene Walach, Ella Barkan, Boaz Ophir, Sharon Alpert, Sharbell Y. Hashoul
2015 A conf
Semantic description of medical image findings: structured learning approach.
BMVC
Pavel Kisilev, Eugene Walach, Sharbell Y. Hashoul, Ella Barkan, Boaz Ophir, Sharon Alpert
2014 — conf
Lesion classification using clinical and visual data fusion by multiple kernel learning.
Computer-Aided Diagnosis
Pavel Kisilev, Sharbell Y. Hashoul, Eugene Walach, Asaf Tzadok
2014 B conf
Unsupervised detection of abnormalities in medical images using salient features.
Image Processing
Sharon Alpert, Pavel Kisilev
2012 B conf
DFlow and DField: New features for capturing object and image relationships.
ICPR
Pavel Kisilev, Daniel Freedman, Eugene Walach, Asaf Tzadok, Yehuda Naveh
2012 B conf
Efficient and robust image descriptor for GUI object classification.
ICPR
Anastasia Dubrovina, Pavel Kisilev, Daniel Freedman, Sagi Schein, Ruth Bergman
2011 J jnl
Automatic visual inspection and defect detection on variable data prints.
J. Electronic Imaging
Marie Vans, Sagi Schein, Carl Staelin, Pavel Kisilev, Steven J. Simske, Ram Dagan, Shlomo Harush
2011 — conf
Local Gray Component Replacement Using Image Analysis.
CIC
Pavel Kisilev, Yohanan Sivan, Michal Aharon, Renato Keshet, Carl Staelin, Gregory Braverman, Shlomo Harush
2010 J jnl
Computing Color Transforms with Applications to Image Editing.
J. Math. Imaging Vis.
Daniel Freedman, Pavel Kisilev
2010 J jnl
KDE Paring and a Faster Mean Shift Algorithm.
SIAM J. Imaging Sci.
Daniel Freedman, Pavel Kisilev
2010 A* conf
Object-to-object color transfer: Optimal flows and SMSP transformations.
CVPR
Daniel Freedman, Pavel Kisilev
2010 A conf
Parameter Tuning from Pairwise Preferences.
BMVC
Pavel Kisilev, Daniel Freedman
2010 C conf
Real-time video enhancement for high quality videoconferencing.
MMSP
Pavel Kisilev, Sagi Schein
2009 — conf
Color Transforms for Creative Image Editing.
CIC
Pavel Kisilev, Daniel Freedman
2009 Misc conf
Denoising scheme for realistic digital photos from unknown sources.
ICASSP
Suk Hwan Lim, Ron Maurer, Pavel Kisilev
2009 B conf
Fast Data Reduction via KDE Approximation.
DCC
Daniel Freedman, Pavel Kisilev
2009 A* conf
Fast Mean Shift by compact density representation.
CVPR
Daniel Freedman, Pavel Kisilev
2008 B conf
Automatic context-aware dust and scratch removal in scanned images.
ICIP
Pavel Kisilev
2007 — conf
Noise and Signal Activity Maps for Better Imaging Algorithms.
ICIP (2)
Pavel Kisilev, Doron Shaked, Suk Hwan Lim
2003 J jnl
A Multiscale Framework For Blind Separation of Linearly Mixed Signals.
J. Mach. Learn. Res.
Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi
2003 — conf
Blind separation of mixed images using multiscale transforms.
ICIP (1)
Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi
2003 C conf
Blind separation of mixed images using multiscale transforms.
VCIP
Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi
2001 — conf
Blind Source Separation via Multinode Sparse Representation.
NIPS
Michael Zibulevsky, Pavel Kisilev, Yehoshua Y. Zeevi, Barak A. Pearlmutter
2001 — conf
Blind source separation using multinode sparse representation.
ICIP (3)
Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi
2001 — conf
Wavelet representation and total variation regularization in emission tomography.
ICIP (1)
Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi