Daniel Freedman

Orcid: 0000-0001-7354-0129

According to our database1, Daniel Freedman authored at least 81 papers between 1999 and 2024.

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Bibliography

2024
Principal Uncertainty Quantification With Spatial Correlation for Image Restoration Problems.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Computing Speed-of-Sound From Ultrasound: User-Agnostic Recovery and a New Benchmark.
IEEE Trans. Biomed. Eng., April, 2024

On the Semantic Latent Space of Diffusion-Based Text-to-Speech Models.
CoRR, 2024

Overcoming Order in Autoregressive Graph Generation.
CoRR, 2024

Early Time Classification with Accumulated Accuracy Gap Control.
CoRR, 2024

Random Walks for Temporal Action Segmentation with Timestamp Supervision.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Semi-equivariant conditional normalizing flows, with applications to target-aware molecule generation.
Mach. Learn. Sci. Technol., September, 2023

Weakly-Supervised Surgical Phase Recognition.
CoRR, 2023

Designing Nonlinear Photonic Crystals for High-Dimensional Quantum State Engineering.
CoRR, 2023

Semi-Equivariant Conditional Normalizing Flows.
CoRR, 2023

Conformal Prediction Masks: Visualizing Uncertainty in Medical Imaging.
Proceedings of the Trustworthy Machine Learning for Healthcare, 2023

Diffusion Models for Generative Histopathology.
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

Self-supervised Learning for Endoscopic Video Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Self-supervised Classification of Clinical Multivariate Time Series using Time Series Dynamics.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Deep Unfolding With Normalizing Flow Priors for Inverse Problems.
IEEE Trans. Signal Process., 2022

What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems.
CoRR, 2022

Semi-Equivariant Continuous Normalizing Flows for Target-Aware Molecule Generation.
CoRR, 2022

RepsNet: Combining Vision with Language for Automated Medical Reports.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Pixel-accurate Segmentation of Surgical Tools based on Bounding Box Annotations.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Image Denoising with Deep Unfolding And Normalizing Flows.
Proceedings of the IEEE International Conference on Acoustics, 2022

Estimating Withdrawal Time in Colonoscopies.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Learning Optimal Wavefront Shaping for Multi-Channel Imaging.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Deep Energy: Task Driven Training of Deep Neural Networks.
IEEE J. Sel. Top. Signal Process., 2021

SPDCinv: Inverse Quantum-Optical Design of High-Dimensional Qudits.
CoRR, 2021

Inverse Design of Quantum Holograms in Three-Dimensional Nonlinear Photonic Crystals.
CoRR, 2021

Learning to Localize Objects Using Limited Annotation, With Applications to Thoracic Diseases.
IEEE Access, 2021

It Has Potential: Gradient-Driven Denoisers for Convergent Solutions to Inverse Problems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

12-Lead ECG Reconstruction via Koopman Operators.
Proceedings of the 38th International Conference on Machine Learning, 2021

Unsupervised 3D Shape Coverage Estimation with Applications to Colonoscopy.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Detecting Deficient Coverage in Colonoscopies.
IEEE Trans. Medical Imaging, 2020

Unsupervised Single Image Dehazing Using Dark Channel Prior Loss.
IEEE Trans. Image Process., 2020

A Deep Learning Framework for Single-Sided Sound Speed Inversion in Medical Ultrasound.
IEEE Trans. Biomed. Eng., 2020

Learning an optimal PSF-pair for ultra-dense 3D localization microscopy.
CoRR, 2020

SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification.
Proceedings of the 37th International Conference on Machine Learning, 2020

Detecting muscle activation using ultrasound speed of sound inversion with deep learning.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Localization with Limited Annotation.
CoRR, 2019

Localization with Limited Annotation for Chest X-rays.
Proceedings of the Machine Learning for Health Workshop, 2019

2018
Deep Energy: Using Energy Functions for Unsupervised Training of DNNs.
CoRR, 2018

SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels.
CoRR, 2018

2017
ASIST: Automatic semantically invariant scene transformation.
Comput. Vis. Image Underst., 2017

Toward Realistic Hands Gesture Interface: Keeping it Simple for Developers and Machines.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016
Reality Skins: Creating Immersive and Tactile Virtual Environments.
Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, 2016

2015
Accurate, Robust, and Flexible Real-time Hand Tracking.
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

2014
SRA: Fast Removal of General Multipath for ToF Sensors.
Proceedings of the Computer Vision - ECCV 2014, 2014

Discriminative Ferns Ensemble for Hand Pose Recognition.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2012
An improved image graph for semi-automatic segmentation.
Signal Image Video Process., 2012

DFlow and DField: New features for capturing object and image relationships.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Efficient and robust image descriptor for GUI object classification.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
Hardness Results for Homology Localization.
Discret. Comput. Geom., 2011

Enforcing topological constraints in random field image segmentation.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
KDE Paring and a Faster Mean Shift Algorithm.
SIAM J. Imaging Sci., 2010

Computing Color Transforms with Applications to Image Editing.
J. Math. Imaging Vis., 2010

Graph cuts with many-pixel interactions: Theory and applications to shape modelling.
Image Vis. Comput., 2010

Measuring and computing natural generators for homology groups.
Comput. Geom., 2010

Topology Noise Removal for Curve and Surface Evolution.
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2010

Object-to-object color transfer: Optimal flows and SMSP transformations.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Parameter Tuning from Pairwise Preferences.
Proceedings of the British Machine Vision Conference, 2010

2009
Color Transforms for Creative Image Editing.
Proceedings of the 17th Color and Imaging Conference, 2009

Fast Data Reduction via KDE Approximation.
Proceedings of the 2009 Data Compression Conference (DCC 2009), 2009

Fast Mean Shift by compact density representation.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Quantifying Homology Classes.
Proceedings of the STACS 2008, 2008

2007
Quantifying Homology Classes II: Localization and Stability
CoRR, 2007

Measuring and Localing Homology Classes
CoRR, 2007

An incremental algorithm for reconstruction of surfaces of arbitrary codimension.
Comput. Geom., 2007

2006
Multiscale Modeling and Constraints for Max-flow/Min-cut Problems in Computer Vision.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

2005
Model-based segmentation of medical imagery by matching distributions.
IEEE Trans. Medical Imaging, 2005

Improving Performance of Distribution Tracking through Background Mismatch.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Interactive Graph Cut Based Segmentation with Shape Priors.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Illumination-Invariant Tracking via Graph Cuts.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Energy Minimization via Graph Cuts: Settling What is Possible.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Active contours for tracking distributions.
IEEE Trans. Image Process., 2004

Model-Based Multi-Object Segmentation via Distribution Matching.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

Surface reconstruction, one triangle at a time.
Proceedings of the 16th Canadian Conference on Computational Geometry, 2004

2003
Effective Tracking through Tree-Search.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

Tracking Objects Using Density Matching and Shape Priors.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

2002
Efficient Simplicial Reconstructions of Manifolds from Their Samples.
IEEE Trans. Pattern Anal. Mach. Intell., 2002

Combinatorial curve reconstruction in Hilbert spaces: A new sampling theory and an old result revisited.
Comput. Geom., 2002

2000
Contour Tracking in Clutter: A Subset Approach.
Int. J. Comput. Vis., 2000

Provably Fast Algorithms for Contour Tracking.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

1999
A Subset Approach to Contour Tracking in Clutter.
Proceedings of the International Conference on Computer Vision, 1999


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