activity
20122023
most citedMonte Carlo non local means: Random sampling for large-scale image filtering

89 citations · 271 across the 16 of their papers we have counts for

collaborators

16 papers

cs.CV2023

Polarization Multi-Image Synthesis with Birefringent Metasurfaces

Dean Hazineh, Soon Wei Daniel Lim, Qi Guo +2

Optical metasurfaces composed of precisely engineered nanostructures have gained significant attention for their ability to manipulate light and implement distinct functionalities…

physics.optics2022★ 10 cited

D-Flat: A Differentiable Flat-Optics Framework for End-to-End Metasurface Visual Sensor Design

Dean S. Hazineh, Soon Wei Daniel Lim, Zhujun Shi +3

Optical metasurfaces are planar substrates with custom-designed, nanoscale features that selectively modulate incident light with respect to direction, wavelength, and polarization…

cs.CV2021★ 17 cited

Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields

Dor Verbin, Peter Hedman, Ben Mildenhall +3

Neural Radiance Fields (NeRF) is a popular view synthesis technique that represents a scene as a continuous volumetric function, parameterized by multilayer perceptrons that provid…

cs.CV2021

Level Set Binocular Stereo with Occlusions

Jialiang Wang, Todd Zickler

Localizing stereo boundaries and predicting nearby disparities are difficult because stereo boundaries induce occluded regions where matching cues are absent. Most modern computer…

cs.CV2020

Field of Junctions: Extracting Boundary Structure at Low SNR

Dor Verbin, Todd Zickler

We introduce a bottom-up model for simultaneously finding many boundary elements in an image, including contours, corners and junctions. The model explains boundary shape in each s…

math.MG2020★ 2 cited

Linear Symmetries of the Unsquared Measurement Variety

Ioannis Gkioulekas, Steven J. Gortler, Louis Theran +1

We introduce a new family of algebraic varieties, , which we call the unsquared measurement varieties. This family is parameterized by a number of points and a dimensi…

cs.CV2020★ 1 cited

Level Set Stereo for Cooperative Grouping with Occlusion

Jialiang Wang, Todd Zickler

Localizing stereo boundaries is difficult because matching cues are absent in the occluded regions that are adjacent to them. We introduce an energy and level-set optimizer that im…

cs.CV2020★ 1 cited

Unique Geometry and Texture from Corresponding Image Patches

Dor Verbin, Steven J. Gortler, Todd Zickler

We present a sufficient condition for recovering unique texture and viewpoints from unknown orthographic projections of a flat texture process. We show that four observations are s…

cs.CV2018

Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset

Qi Guo, Iuri Frosio, Orazio Gallo +2

Scene motion, multiple reflections, and sensor noise introduce artifacts in the depth reconstruction performed by time-of-flight cameras. We propose a two-stage, deep-learning appr…

math.MG2017★ 3 cited

Determining Generic Point Configurations From Unlabeled Path or Loop Lengths

Ioannis Gkioulekas, Steven J. Gortler, Louis Theran +1

Let be a configuration of points in for some and some . Each pair of points defines an edge, which has a Euclidean length in the config…

cs.CV2016★ 11 cited

Understanding Symmetric Smoothing Filters: A Gaussian Mixture Model Perspective

Stanley H. Chan, Todd Zickler, Yue M. Lu

Many patch-based image denoising algorithms can be formulated as applying a smoothing filter to the noisy image. Expressed as matrices, the smoothing filters must be row normalized…

cs.CV2014

Low-level Vision by Consensus in a Spatial Hierarchy of Regions

Ayan Chakrabarti, Ying Xiong, Steven J. Gortler +1

We introduce a multi-scale framework for low-level vision, where the goal is estimating physical scene values from image data---such as depth from stereo image pairs. The framework…

cs.CV2013★ 89 cited

Monte Carlo non local means: Random sampling for large-scale image filtering

Stanley H. Chan, Todd Zickler, Yue M. Lu

We propose a randomized version of the non-local means (NLM) algorithm for large-scale image filtering. The new algorithm, called Monte Carlo non-local means (MCNLM), speeds up the…

cs.CV2013★ 45 cited

Modeling Radiometric Uncertainty for Vision with Tone-mapped Color Images

Ayan Chakrabarti, Ying Xiong, Baochen Sun +4

To produce images that are suitable for display, tone-mapping is widely used in digital cameras to map linear color measurements into narrow gamuts with limited dynamic range. This…

cs.CV2013★ 80 cited

From Shading to Local Shape

Ying Xiong, Ayan Chakrabarti, Ronen Basri +3

We develop a framework for extracting a concise representation of the shape information available from diffuse shading in a small image patch. This produces a mid-level scene descr…

cs.CV2012★ 12 cited

Image Restoration with Signal-dependent Camera Noise

Ayan Chakrabarti, Todd Zickler

This article describes a fast iterative algorithm for image denoising and deconvolution with signal-dependent observation noise. We use an optimization strategy based on variable s…