default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDaniel Freedman
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j26]Omer Belhasin
, Yaniv Romano, Daniel Freedman, Ehud Rivlin, Michael Elad:
Principal Uncertainty Quantification With Spatial Correlation for Image Restoration Problems. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3321-3333 (2024)- [j25]Micha Feigin, Daniel Freedman, Brian W. Anthony:
Computing Speed-of-Sound From Ultrasound: User-Agnostic Recovery and a New Benchmark. IEEE Trans. Biomed. Eng. 71(4): 1094-1103 (2024) - [j24]Edo Cohen-Karlik, Eyal Rozenberg, Daniel Freedman:
Overcoming Order in Autoregressive Graph Generation for Molecule Generation. Trans. Mach. Learn. Res. 2024 (2024) - [c43]Miri Varshavsky-Hassid, Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin:
On the Semantic Latent Space of Diffusion-Based Text-To-Speech Models. ACL (Short Papers) 2024: 246-255 - [c42]Liran Ringel, Regev Cohen, Daniel Freedman, Michael Elad, Yaniv Romano:
Early Time Classification with Accumulated Accuracy Gap Control. ICML 2024 - [c41]Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin:
Random Walks for Temporal Action Segmentation with Timestamp Supervision. WACV 2024: 6600-6610 - [i31]Liran Ringel, Regev Cohen, Daniel Freedman, Michael Elad, Yaniv Romano:
Early Time Classification with Accumulated Accuracy Gap Control. CoRR abs/2402.00857 (2024) - [i30]Edo Cohen-Karlik, Eyal Rozenberg, Daniel Freedman:
Overcoming Order in Autoregressive Graph Generation. CoRR abs/2402.03387 (2024) - [i29]Miri Varshavsky-Hassid, Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin:
On the Semantic Latent Space of Diffusion-Based Text-to-Speech Models. CoRR abs/2402.12423 (2024) - [i28]Regev Cohen, Idan Kligvasser, Ehud Rivlin, Daniel Freedman:
Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models. CoRR abs/2405.16475 (2024) - [i27]Daniel Freedman, Eyal Rozenberg, Alex M. Bronstein:
A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Schrodinger Equation. CoRR abs/2406.00047 (2024) - [i26]Matan Halfon, Eyal Rozenberg, Ehud Rivlin, Daniel Freedman:
Molecular Diffusion Models with Virtual Receptors. CoRR abs/2406.18330 (2024) - [i25]Yotam Intrator, Ori Kelner, Regev Cohen, Roman Goldenberg, Ehud Rivlin, Daniel Freedman:
Streamlining Conformal Information Retrieval via Score Refinement. CoRR abs/2410.02914 (2024) - 2023
- [j23]Eyal Rozenberg, Daniel Freedman:
Semi-equivariant conditional normalizing flows, with applications to target-aware molecule generation. Mach. Learn. Sci. Technol. 4(3): 35037 (2023) - [c40]Yakir Yehuda, Daniel Freedman, Kira Radinsky:
Self-supervised Classification of Clinical Multivariate Time Series using Time Series Dynamics. KDD 2023: 5416-5427 - [c39]Niranjan Sridhar, Michael Elad, Carson McNeil, Ehud Rivlin, Daniel Freedman:
Diffusion Models for Generative Histopathology. DGM4MICCAI 2023: 154-163 - [c38]Roy Hirsch, Mathilde Caron, Regev Cohen, Amir Livne, Ron Shapiro, Tomer Golany, Roman Goldenberg, Daniel Freedman, Ehud Rivlin:
Self-supervised Learning for Endoscopic Video Analysis. MICCAI (5) 2023: 569-578 - [c37]Gilad Kutiel, Regev Cohen, Michael Elad, Daniel Freedman, Ehud Rivlin:
Conformal Prediction Masks: Visualizing Uncertainty in Medical Imaging. TML4H 2023: 163-176 - [i24]Eyal Rozenberg, Daniel Freedman:
Semi-Equivariant Conditional Normalizing Flows. CoRR abs/2304.06779 (2023) - [i23]Eyal Rozenberg, Aviv Karnieli, Ofir Yesharim, Joshua Foley-Comer, Sivan Trajtenberg-Mills, Sarika Mishra, Shashi Prabhakar, Ravindra Pratap Singh, Daniel Freedman, Alex M. Bronstein, Ady Arie:
Designing Nonlinear Photonic Crystals for High-Dimensional Quantum State Engineering. CoRR abs/2304.06810 (2023) - [i22]Omer Belhasin, Yaniv Romano, Daniel Freedman, Ehud Rivlin, Michael Elad:
Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems. CoRR abs/2305.10124 (2023) - [i21]Roy Hirsch, Mathilde Caron, Regev Cohen, Amir Livne, Ron Shapiro, Tomer Golany, Roman Goldenberg, Daniel Freedman, Ehud Rivlin:
Self-Supervised Learning for Endoscopic Video Analysis. CoRR abs/2308.12394 (2023) - [i20]Roy Hirsch, Regev Cohen, Mathilde Caron, Tomer Golany, Daniel Freedman, Ehud Rivlin:
Weakly-Supervised Surgical Phase Recognition. CoRR abs/2310.17209 (2023) - 2022
- [j22]Xinyi Wei, Hans Van Gorp, Lizeth Gonzalez-Carabarin, Daniel Freedman, Yonina C. Eldar, Ruud J. G. van Sloun:
Deep Unfolding With Normalizing Flow Priors for Inverse Problems. IEEE Trans. Signal Process. 70: 2962-2971 (2022) - [c36]Liran Katzir, Danny Veikherman, Valentin Dashinsky, Roman Goldenberg, Ilan Shimshoni, Nadav Rabani, Regev Cohen, Ori Kelner, Ehud Rivlin, Daniel Freedman:
Estimating Withdrawal Time in Colonoscopies. ECCV Workshops (3) 2022: 495-512 - [c35]Xinyi Wei, Hans Van Gorp, Lizeth Gonzalez-Carabarin, Daniel Freedman, Yonina C. Eldar, Ruud J. G. van Sloun:
Image Denoising with Deep Unfolding And Normalizing Flows. ICASSP 2022: 1551-1555 - [c34]George Leifman, Amit Aides, Tomer Golany, Daniel Freedman, Ehud Rivlin:
Pixel-accurate Segmentation of Surgical Tools based on Bounding Box Annotations. ICPR 2022: 5096-5103 - [c33]Ajay Kumar Tanwani, Joelle K. Barral, Daniel Freedman:
RepsNet: Combining Vision with Language for Automated Medical Reports. MICCAI (5) 2022: 714-724 - [i19]Ajay Kumar Tanwani, Joelle K. Barral, Daniel Freedman:
RepsNet: Combining Vision with Language for Automated Medical Reports. CoRR abs/2209.13171 (2022) - [i18]Eyal Rozenberg, Daniel Freedman:
Semi-Equivariant Continuous Normalizing Flows for Target-Aware Molecule Generation. CoRR abs/2211.04754 (2022) - [i17]Gilad Kutiel, Regev Cohen, Michael Elad, Daniel Freedman:
What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems. CoRR abs/2211.15211 (2022) - 2021
- [j21]Eyal Rozenberg, Daniel Freedman, Alex A. Bronstein:
Learning to Localize Objects Using Limited Annotation, With Applications to Thoracic Diseases. IEEE Access 9: 67620-67633 (2021) - [j20]Alona Golts, Daniel Freedman, Michael Elad:
Deep Energy: Task Driven Training of Deep Neural Networks. IEEE J. Sel. Top. Signal Process. 15(2): 324-338 (2021) - [j19]Elias Nehme, Boris Ferdman, Lucien E. Weiss, Tal Naor, Daniel Freedman, Tomer Michaeli, Yoav Shechtman:
Learning Optimal Wavefront Shaping for Multi-Channel Imaging. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2179-2192 (2021) - [c32]Tomer Golany, Daniel Freedman, Kira Radinsky:
ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning. AAAI 2021: 134-141 - [c31]Yochai Blau, Daniel Freedman, Valentin Dashinsky, Roman Goldenberg, Ehud Rivlin:
Unsupervised 3D Shape Coverage Estimation with Applications to Colonoscopy. ICCVW 2021: 3364-3374 - [c30]Tomer Golany, Kira Radinsky, Daniel Freedman, Saar Minha:
12-Lead ECG Reconstruction via Koopman Operators. ICML 2021: 3745-3754 - [c29]Regev Cohen, Yochai Blau, Daniel Freedman, Ehud Rivlin:
It Has Potential: Gradient-Driven Denoisers for Convergent Solutions to Inverse Problems. NeurIPS 2021: 18152-18164 - [i16]Eyal Rozenberg, Aviv Karnieli, Ofir Yesharim, Sivan Trajtenberg-Mills, Daniel Freedman, Alex M. Bronstein, Ady Arie:
Inverse Design of Quantum Holograms in Three-Dimensional Nonlinear Photonic Crystals. CoRR abs/2102.10344 (2021) - [i15]Eyal Rozenberg, Aviv Karnieli, Ofir Yesharim, Joshua Foley-Comer, Sivan Trajtenberg-Mills, Daniel Freedman, Alex M. Bronstein, Ady Arie:
SPDCinv: Inverse Quantum-Optical Design of High-Dimensional Qudits. CoRR abs/2112.05934 (2021) - 2020
- [j18]Micha Feigin, Daniel Freedman, Brian W. Anthony:
A Deep Learning Framework for Single-Sided Sound Speed Inversion in Medical Ultrasound. IEEE Trans. Biomed. Eng. 67(4): 1142-1151 (2020) - [j17]Alona Golts, Daniel Freedman, Michael Elad:
Unsupervised Single Image Dehazing Using Dark Channel Prior Loss. IEEE Trans. Image Process. 29: 2692-2701 (2020) - [j16]Daniel Freedman, Yochai Blau, Liran Katzir, Amit Aides, Ilan Shimshoni, Danny Veikherman, Tomer Golany, Ariel Gordon, Greg Corrado, Yossi Matias, Ehud Rivlin:
Detecting Deficient Coverage in Colonoscopies. IEEE Trans. Medical Imaging 39(11): 3451-3462 (2020) - [c28]Micha Feigin, Manuel Zwecker, Daniel Freedman, Brian W. Anthony:
Detecting muscle activation using ultrasound speed of sound inversion with deep learning. EMBC 2020: 2092-2095 - [c27]Tomer Golany, Kira Radinsky, Daniel Freedman:
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification. ICML 2020: 3597-3606 - [i14]Daniel Freedman, Yochai Blau, Liran Katzir, Amit Aides, Ilan Shimshoni, Danny Veikherman, Tomer Golany, Ariel Gordon, Greg Corrado, Yossi Matias, Ehud Rivlin:
Detecting Deficient Coverage in Colonoscopies. CoRR abs/2001.08589 (2020) - [i13]Tomer Golany, Daniel Freedman, Kira Radinsky:
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification. CoRR abs/2006.15353 (2020) - [i12]Elias Nehme, Boris Ferdman, Lucien E. Weiss, Tal Naor, Daniel Freedman, Tomer Michaeli, Yoav Shechtman:
Learning an optimal PSF-pair for ultra-dense 3D localization microscopy. CoRR abs/2009.14303 (2020)
2010 – 2019
- 2019
- [c26]Eyal Rozenberg, Daniel Freedman, Alex M. Bronstein:
Localization with Limited Annotation for Chest X-rays. ML4H@NeurIPS 2019: 52-65 - [i11]Eyal Rozenberg, Daniel Freedman, Alexander M. Bronstein:
Localization with Limited Annotation. CoRR abs/1909.08842 (2019) - [i10]Micha Feigin, Manuel Zwecker, Daniel Freedman, Brian W. Anthony:
Detecting muscle activation using ultrasound speed of sound inversion with deep learning. CoRR abs/1910.09046 (2019) - 2018
- [i9]Or Litany, Daniel Freedman:
SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels. CoRR abs/1805.09622 (2018) - [i8]Alona Golts, Daniel Freedman, Michael Elad:
Deep Energy: Using Energy Functions for Unsupervised Training of DNNs. CoRR abs/1805.12355 (2018) - [i7]Micha Feigin, Daniel Freedman, Brian W. Anthony:
A Deep learning framework for Single sided sound speed inversion in medical ultrasound. CoRR abs/1810.00322 (2018) - [i6]Alona Golts, Daniel Freedman, Michael Elad:
Unsupervised Single Image Dehazing Using Dark Channel Prior Loss. CoRR abs/1812.07051 (2018) - 2017
- [j15]Or Litany, Tal Remez, Daniel Freedman, Lior Shapira, Alexander M. Bronstein, Ran Gal:
ASIST: Automatic semantically invariant scene transformation. Comput. Vis. Image Underst. 157: 284-299 (2017) - [c25]Eyal Krupka, Kfir Karmon, Noam Bloom, Daniel Freedman, Ilya Gurvich, Aviv Hurvitz, Ido Leichter, Yoni Smolin, Yuval Tzairi, Alon Vinnikov, Aharon Bar-Hillel:
Toward Realistic Hands Gesture Interface: Keeping it Simple for Developers and Machines. CHI 2017: 1887-1898 - 2016
- [c24]Lior Shapira, Daniel Freedman:
Reality Skins: Creating Immersive and Tactile Virtual Environments. ISMAR 2016: 115-124 - 2015
- [c23]Toby Sharp, Cem Keskin, Duncan P. Robertson, Jonathan Taylor, Jamie Shotton, David Kim, Christoph Rhemann, Ido Leichter, Alon Vinnikov, Yichen Wei, Daniel Freedman, Pushmeet Kohli, Eyal Krupka, Andrew W. Fitzgibbon, Shahram Izadi:
Accurate, Robust, and Flexible Real-time Hand Tracking. CHI 2015: 3633-3642 - [i5]Or Litany, Tal Remez, Daniel Freedman, Lior Shapira, Alexander M. Bronstein, Ran Gal:
ASIST: Automatic Semantically Invariant Scene Transformation. CoRR abs/1512.01515 (2015) - 2014
- [c22]Eyal Krupka, Alon Vinnikov, Ben Klein, Aharon Bar-Hillel, Daniel Freedman, Simon Stachniak:
Discriminative Ferns Ensemble for Hand Pose Recognition. CVPR 2014: 3670-3677 - [c21]Daniel Freedman, Yoni Smolin, Eyal Krupka, Ido Leichter, Mirko Schmidt:
SRA: Fast Removal of General Multipath for ToF Sensors. ECCV (1) 2014: 234-249 - [i4]Daniel Freedman, Eyal Krupka, Yoni Smolin, Ido Leichter, Mirko Schmidt:
SRA: Fast Removal of General Multipath for ToF Sensors. CoRR abs/1403.5919 (2014) - 2012
- [j14]Daniel Freedman:
An improved image graph for semi-automatic segmentation. Signal Image Video Process. 6(4): 533-545 (2012) - [c20]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 - [c19]Anastasia Dubrovina, Pavel Kisilev, Daniel Freedman, Sagi Schein, Ruth Bergman:
Efficient and robust image descriptor for GUI object classification. ICPR 2012: 3594-3597 - 2011
- [j13]Chao Chen, Daniel Freedman:
Hardness Results for Homology Localization. Discret. Comput. Geom. 45(3): 425-448 (2011) - [c18]Chao Chen, Daniel Freedman, Christoph H. Lampert:
Enforcing topological constraints in random field image segmentation. CVPR 2011: 2089-2096 - 2010
- [j12]Chao Chen, Daniel Freedman:
Measuring and computing natural generators for homology groups. Comput. Geom. 43(2): 169-181 (2010) - [j11]Daniel Freedman, Matthew W. Turek:
Graph cuts with many-pixel interactions: Theory and applications to shape modelling. Image Vis. Comput. 28(3): 467-473 (2010) - [j10]Daniel Freedman, Pavel Kisilev:
Computing Color Transforms with Applications to Image Editing. J. Math. Imaging Vis. 37(3): 220-231 (2010) - [j9]Daniel Freedman, Pavel Kisilev:
KDE Paring and a Faster Mean Shift Algorithm. SIAM J. Imaging Sci. 3(4): 878-903 (2010) - [c17]Pavel Kisilev, Daniel Freedman:
Parameter Tuning from Pairwise Preferences. BMVC 2010: 1-11 - [c16]Daniel Freedman, Pavel Kisilev:
Object-to-object color transfer: Optimal flows and SMSP transformations. CVPR 2010: 287-294 - [c15]Chao Chen, Daniel Freedman:
Topology Noise Removal for Curve and Surface Evolution. MCV 2010: 31-42 - [c14]Chao Chen, Daniel Freedman:
Hardness Results for Homology Localization. SODA 2010: 1594-1604
2000 – 2009
- 2009
- [c13]Daniel Freedman, Pavel Kisilev:
Fast Mean Shift by compact density representation. CVPR 2009: 1818-1825 - [c12]Daniel Freedman, Pavel Kisilev:
Fast Data Reduction via KDE Approximation. DCC 2009: 445 - [c11]Pavel Kisilev, Daniel Freedman:
Color Transforms for Creative Image Editing. CIC 2009: 284-289 - 2008
- [c10]Chao Chen, Daniel Freedman:
Quantifying Homology Classes. STACS 2008: 169-180 - [i3]Chao Chen, Daniel Freedman:
Quantifying Homology Classes. CoRR abs/0802.2865 (2008) - 2007
- [j8]Daniel Freedman:
An incremental algorithm for reconstruction of surfaces of arbitrary codimension. Comput. Geom. 36(2): 106-116 (2007) - [i2]Daniel Freedman, Chao Chen:
Measuring and Localing Homology Classes. CoRR abs/0705.3061 (2007) - [i1]Chao Chen, Daniel Freedman:
Quantifying Homology Classes II: Localization and Stability. CoRR abs/0709.2512 (2007) - 2006
- [c9]Matthew W. Turek, Daniel Freedman:
Multiscale Modeling and Constraints for Max-flow/Min-cut Problems in Computer Vision. CVPR Workshops 2006: 180 - 2005
- [j7]Tao Zhang, Daniel Freedman:
Improving Performance of Distribution Tracking through Background Mismatch. IEEE Trans. Pattern Anal. Mach. Intell. 27(2): 282-287 (2005) - [j6]Daniel Freedman, Richard J. Radke, Tao Zhang, Yongwon Jeong, D. Michael Lovelock, George T. Y. Chen:
Model-based segmentation of medical imagery by matching distributions. IEEE Trans. Medical Imaging 24(3): 281-292 (2005) - [c8]Daniel Freedman, Matthew W. Turek:
Illumination-Invariant Tracking via Graph Cuts. CVPR (2) 2005: 10-17 - [c7]Daniel Freedman, Tao Zhang:
Interactive Graph Cut Based Segmentation with Shape Priors. CVPR (1) 2005: 755-762 - [c6]Daniel Freedman, Petros Drineas:
Energy Minimization via Graph Cuts: Settling What is Possible. CVPR (2) 2005: 939-946 - 2004
- [j5]Daniel Freedman, Tao Zhang:
Active contours for tracking distributions. IEEE Trans. Image Process. 13(4): 518-526 (2004) - [c5]Daniel Freedman:
Surface reconstruction, one triangle at a time. CCCG 2004: 15-19 - [c4]Daniel Freedman, Richard J. Radke, Tao Zhang, Yongwon Jeong, George T. Y. Chen:
Model-Based Multi-Object Segmentation via Distribution Matching. CVPR Workshops 2004: 11 - 2003
- [j4]Daniel Freedman:
Effective Tracking through Tree-Search. IEEE Trans. Pattern Anal. Mach. Intell. 25(5): 604-615 (2003) - [c3]Tao Zhang, Daniel Freedman:
Tracking Objects Using Density Matching and Shape Priors. ICCV 2003: 1056-1062 - 2002
- [j3]Daniel Freedman:
Combinatorial curve reconstruction in Hilbert spaces: A new sampling theory and an old result revisited. Comput. Geom. 23(2): 227-241 (2002) - [j2]Daniel Freedman:
Efficient Simplicial Reconstructions of Manifolds from Their Samples. IEEE Trans. Pattern Anal. Mach. Intell. 24(10): 1349-1357 (2002) - 2000
- [j1]Daniel Freedman, Michael S. Brandstein:
Contour Tracking in Clutter: A Subset Approach. Int. J. Comput. Vis. 38(2): 173-186 (2000) - [c2]Daniel Freedman, Michael S. Brandstein:
Provably Fast Algorithms for Contour Tracking. CVPR 2000: 1139-1144
1990 – 1999
- 1999
- [c1]Daniel Freedman, Michael S. Brandstein:
A Subset Approach to Contour Tracking in Clutter. ICCV 1999: 242-247
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-08 20:33 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
