activity
20172023
most citedFlexible Techniques for Differentiable Rendering with 3D Gaussians

12 citations · 23 across the 4 of their papers we have counts for

collaborators

8 papers

cs.CV2023★ 12 cited

Flexible Techniques for Differentiable Rendering with 3D Gaussians

Leonid Keselman, Martial Hebert

Fast, reliable shape reconstruction is an essential ingredient in many computer vision applications. Neural Radiance Fields demonstrated that photorealistic novel view synthesis is…

cs.RO2023

Optimizing Algorithms From Pairwise User Preferences

Leonid Keselman, Katherine Shih, Martial Hebert +1

Typical black-box optimization approaches in robotics focus on learning from metric scores. However, that is not always possible, as not all developers have ground truth available.…

cs.AI2023

Discovering Multiple Algorithm Configurations

Leonid Keselman, Martial Hebert

Many practitioners in robotics regularly depend on classic, hand-designed algorithms. Often the performance of these algorithms is tuned across a dataset of annotated examples whic…

cs.CV2022

Approximate Differentiable Rendering with Algebraic Surfaces

Leonid Keselman, Martial Hebert

Differentiable renderers provide a direct mathematical link between an object's 3D representation and images of that object. In this work, we develop an approximate differentiable…

cs.DL2019

Venue Analytics: A Simple Alternative to Citation-Based Metrics

Leonid Keselman

We present a method for automatically organizing and evaluating the quality of different publishing venues in Computer Science. Since this method only requires paper publication da…

cs.CV2019

Direct Fitting of Gaussian Mixture Models

Leonid Keselman, Martial Hebert

When fitting Gaussian Mixture Models to 3D geometry, the model is typically fit to point clouds, even when the shapes were obtained as 3D meshes. Here we present a formulation for…

cs.CV2017

Dynamics Based 3D Skeletal Hand Tracking

Stan Melax, Leonid Keselman, Sterling Orsten

Tracking the full skeletal pose of the hands and fingers is a challenging problem that has a plethora of applications for user interaction. Existing techniques either require weara…

cs.CV2017★ 11 cited

Intel RealSense Stereoscopic Depth Cameras

Leonid Keselman, John Iselin Woodfill, Anders Grunnet-Jepsen +1

We present a comprehensive overview of the stereoscopic Intel RealSense RGBD imaging systems. We discuss these systems' mode-of-operation, functional behavior and include models of…