Daniel Freedman

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 57

Top Topics

Image Denoising

Inverse Problems

Medical Ultrasound

Diffusion Models

Top Venues

IEEE Trans. Biomed. Eng.

Publications

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 (2024)
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) (2024)
Liran Ringel, Regev Cohen, Daniel Freedman, Michael Elad, Yaniv Romano
Early Time Classification with Accumulated Accuracy Gap Control. CoRR (2024)
Daniel Freedman, Eyal Rozenberg, Alex M. Bronstein
A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Schrodinger Equation. CoRR (2024)
Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin
Random Walks for Temporal Action Segmentation with Timestamp Supervision. WACV (2024)
Edo Cohen-Karlik, Eyal Rozenberg, Daniel Freedman
Overcoming Order in Autoregressive Graph Generation for Molecule Generation. Trans. Mach. Learn. Res. 2024 (2024)
Matan Halfon, Eyal Rozenberg, Ehud Rivlin, Daniel Freedman
Molecular Diffusion Models with Virtual Receptors. CoRR (2024)
Edo Cohen-Karlik, Eyal Rozenberg, Daniel Freedman
Overcoming Order in Autoregressive Graph Generation. CoRR (2024)
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 (2024)
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) (2024)
Omer Belhasin, Yaniv Romano, Daniel Freedman, Ehud Rivlin, Michael Elad
Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems. CoRR (2023)
Gilad Kutiel, Regev Cohen, Michael Elad, Daniel Freedman, Ehud Rivlin
Conformal Prediction Masks: Visualizing Uncertainty in Medical Imaging. TML4H (2023)
Niranjan Sridhar, Michael Elad, Carson McNeil, Ehud Rivlin, Daniel Freedman
Diffusion Models for Generative Histopathology. DGM4MICCAI (2023)
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 (2023)
Eyal Rozenberg, Daniel Freedman
Semi-equivariant conditional normalizing flows, with applications to target-aware molecule generation. Mach. Learn. Sci. Technol. 4 (3) (2023)
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)
Yakir Yehuda, Daniel Freedman, Kira Radinsky
Self-supervised Classification of Clinical Multivariate Time Series using Time Series Dynamics. KDD (2023)
Eyal Rozenberg, Daniel Freedman
Semi-Equivariant Conditional Normalizing Flows. CoRR (2023)
Roy Hirsch, Regev Cohen, Mathilde Caron, Tomer Golany, Daniel Freedman, Ehud Rivlin
Weakly-Supervised Surgical Phase Recognition. CoRR (2023)
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 (2023)
Ajay Kumar Tanwani, Joelle K. Barral, Daniel Freedman
RepsNet: Combining Vision with Language for Automated Medical Reports. CoRR (2022)
Eyal Rozenberg, Daniel Freedman
Semi-Equivariant Continuous Normalizing Flows for Target-Aware Molecule Generation. CoRR (2022)
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)
Ajay Kumar Tanwani, Joelle K. Barral, Daniel Freedman
RepsNet: Combining Vision with Language for Automated Medical Reports. MICCAI (5) (2022)
George Leifman, Amit Aides, Tomer Golany, Daniel Freedman, Ehud Rivlin
Pixel-accurate Segmentation of Surgical Tools based on Bounding Box Annotations. ICPR (2022)
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)
Gilad Kutiel, Regev Cohen, Michael Elad, Daniel Freedman
What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems. CoRR (2022)
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 (2022)
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 (2021)
Yochai Blau, Daniel Freedman, Valentin Dashinsky, Roman Goldenberg, Ehud Rivlin
Unsupervised 3D Shape Coverage Estimation with Applications to Colonoscopy. ICCVW (2021)
Regev Cohen, Yochai Blau, Daniel Freedman, Ehud Rivlin
It Has Potential: Gradient-Driven Denoisers for Convergent Solutions to Inverse Problems. NeurIPS (2021)
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 (2021)
Alona Golts, Daniel Freedman, Michael Elad
Deep Energy: Task Driven Training of Deep Neural Networks. IEEE J. Sel. Top. Signal Process. 15 (2) (2021)
Eyal Rozenberg, Daniel Freedman, Alex A. Bronstein
Learning to Localize Objects Using Limited Annotation, With Applications to Thoracic Diseases. IEEE Access 9 (2021)
Tomer Golany, Daniel Freedman, Kira Radinsky
ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning. AAAI (2021)
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) (2021)
Tomer Golany, Kira Radinsky, Daniel Freedman, Saar Minha
12-Lead ECG Reconstruction via Koopman Operators. ICML (2021)
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) (2020)
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 (2020)
Alona Golts, Daniel Freedman, Michael Elad
Unsupervised Single Image Dehazing Using Dark Channel Prior Loss. IEEE Trans. Image Process. 29 (2020)
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 (2020)
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) (2020)
Tomer Golany, Kira Radinsky, Daniel Freedman
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification. ICML (2020)
Tomer Golany, Daniel Freedman, Kira Radinsky
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification. CoRR (2020)
Micha Feigin, Manuel Zwecker, Daniel Freedman, Brian W. Anthony
Detecting muscle activation using ultrasound speed of sound inversion with deep learning. EMBC (2020)
Eyal Rozenberg, Daniel Freedman, Alex M. Bronstein
Localization with Limited Annotation for Chest X-rays. ML4H@NeurIPS (2019)
Eyal Rozenberg, Daniel Freedman, Alexander M. Bronstein
Localization with Limited Annotation. CoRR (2019)
Micha Feigin, Manuel Zwecker, Daniel Freedman, Brian W. Anthony
Detecting muscle activation using ultrasound speed of sound inversion with deep learning. CoRR (2019)
Alona Golts, Daniel Freedman, Michael Elad
Deep Energy: Using Energy Functions for Unsupervised Training of DNNs. CoRR (2018)
Alona Golts, Daniel Freedman, Michael Elad
Unsupervised Single Image Dehazing Using Dark Channel Prior Loss. CoRR (2018)
Micha Feigin, Daniel Freedman, Brian W. Anthony
A Deep learning framework for Single sided sound speed inversion in medical ultrasound. CoRR (2018)
Or Litany, Daniel Freedman
SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels. CoRR (2018)
Or Litany, Tal Remez, Daniel Freedman, Lior Shapira, Alexander M. Bronstein, Ran Gal
ASIST: Automatic semantically invariant scene transformation. Comput. Vis. Image Underst. 157 (2017)
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)
Lior Shapira, Daniel Freedman
Reality Skins: Creating Immersive and Tactile Virtual Environments. ISMAR (2016)
Or Litany, Tal Remez, Daniel Freedman, Lior Shapira, Alexander M. Bronstein, Ran Gal
ASIST: Automatic Semantically Invariant Scene Transformation. CoRR (2015)
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)
Eyal Krupka, Alon Vinnikov, Ben Klein, Aharon Bar-Hillel, Daniel Freedman, Simon Stachniak
Discriminative Ferns Ensemble for Hand Pose Recognition. CVPR (2014)
Daniel Freedman, Eyal Krupka, Yoni Smolin, Ido Leichter, Mirko Schmidt
SRA: Fast Removal of General Multipath for ToF Sensors. CoRR (2014)
Daniel Freedman, Yoni Smolin, Eyal Krupka, Ido Leichter, Mirko Schmidt
SRA: Fast Removal of General Multipath for ToF Sensors. ECCV (1) (2014)
Daniel Freedman
An improved image graph for semi-automatic segmentation. Signal Image Video Process. 6 (4) (2012)
Anastasia Dubrovina, Pavel Kisilev, Daniel Freedman, Sagi Schein, Ruth Bergman
Efficient and robust image descriptor for GUI object classification. ICPR (2012)
Pavel Kisilev, Daniel Freedman, Eugene Walach, Asaf Tzadok, Yehuda Naveh
DFlow and DField: New features for capturing object and image relationships. ICPR (2012)
Chao Chen, Daniel Freedman
Hardness Results for Homology Localization. Discret. Comput. Geom. 45 (3) (2011)
Chao Chen, Daniel Freedman, Christoph H. Lampert
Enforcing topological constraints in random field image segmentation. CVPR (2011)
Chao Chen, Daniel Freedman
Measuring and computing natural generators for homology groups. Comput. Geom. 43 (2) (2010)
Daniel Freedman, Pavel Kisilev
Object-to-object color transfer: Optimal flows and SMSP transformations. CVPR (2010)
Daniel Freedman, Matthew W. Turek
Graph cuts with many-pixel interactions: Theory and applications to shape modelling. Image Vis. Comput. 28 (3) (2010)
Daniel Freedman, Pavel Kisilev
KDE Paring and a Faster Mean Shift Algorithm. SIAM J. Imaging Sci. 3 (4) (2010)
Pavel Kisilev, Daniel Freedman
Parameter Tuning from Pairwise Preferences. BMVC (2010)
Chao Chen, Daniel Freedman
Hardness Results for Homology Localization. SODA (2010)
Chao Chen, Daniel Freedman
Topology Noise Removal for Curve and Surface Evolution. MCV (2010)
Daniel Freedman, Pavel Kisilev
Computing Color Transforms with Applications to Image Editing. J. Math. Imaging Vis. 37 (3) (2010)
Daniel Freedman, Pavel Kisilev
Fast Mean Shift by compact density representation. CVPR (2009)
Daniel Freedman, Pavel Kisilev
Fast Data Reduction via KDE Approximation. DCC (2009)
Pavel Kisilev, Daniel Freedman
Color Transforms for Creative Image Editing. Color Imaging Conference (2009)
Chao Chen, Daniel Freedman
Quantifying Homology Classes CoRR (2008)
Chao Chen, Daniel Freedman
Quantifying Homology Classes. STACS (2008)
Daniel Freedman
An incremental algorithm for reconstruction of surfaces of arbitrary codimension. Comput. Geom. 36 (2) (2007)
Daniel Freedman, Chao Chen
Measuring and Localing Homology Classes CoRR (2007)
Chao Chen, Daniel Freedman
Quantifying Homology Classes II: Localization and Stability CoRR (2007)
Matthew W. Turek, Daniel Freedman
Multiscale Modeling and Constraints for Max-flow/Min-cut Problems in Computer Vision. CVPR Workshops (2006)
Daniel Freedman, Tao Zhang
Interactive Graph Cut Based Segmentation with Shape Priors. CVPR (1) (2005)
Daniel Freedman, Petros Drineas
Energy Minimization via Graph Cuts: Settling What is Possible. CVPR (2) (2005)
Tao Zhang, Daniel Freedman
Improving Performance of Distribution Tracking through Background Mismatch. IEEE Trans. Pattern Anal. Mach. Intell. 27 (2) (2005)
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) (2005)
Daniel Freedman, Matthew W. Turek
Illumination-Invariant Tracking via Graph Cuts. CVPR (2) (2005)
Daniel Freedman
Surface reconstruction, one triangle at a time. CCCG (2004)
Daniel Freedman, Richard J. Radke, Tao Zhang, Yongwon Jeong, George T. Y. Chen
Model-Based Multi-Object Segmentation via Distribution Matching. CVPR Workshops (2004)
Daniel Freedman, Tao Zhang
Active contours for tracking distributions. IEEE Trans. Image Process. 13 (4) (2004)
Daniel Freedman
Effective Tracking through Tree-Search. IEEE Trans. Pattern Anal. Mach. Intell. 25 (5) (2003)
Tao Zhang, Daniel Freedman
Tracking Objects Using Density Matching and Shape Priors. ICCV (2003)
Daniel Freedman
Combinatorial curve reconstruction in Hilbert spaces: A new sampling theory and an old result revisited. Comput. Geom. 23 (2) (2002)
Daniel Freedman
Efficient Simplicial Reconstructions of Manifolds from Their Samples. IEEE Trans. Pattern Anal. Mach. Intell. 24 (10) (2002)
Daniel Freedman, Michael S. Brandstein
Provably Fast Algorithms for Contour Tracking. CVPR (2000)
Daniel Freedman, Michael S. Brandstein
Contour Tracking in Clutter: A Subset Approach. Int. J. Comput. Vis. 38 (2) (2000)
Daniel Freedman, Michael S. Brandstein
A Subset Approach to Contour Tracking in Clutter. ICCV (1999)