Search Results for author:
Found 9 papers, 5 papers with code
Flexible Techniques for Differentiable Rendering with 3D Gaussians
Fast, reliable shape reconstruction is an essential ingredient in many computer vision applications.
Optimizing Algorithms From Pairwise User Preferences
Typical black-box optimization approaches in robotics focus on learning from metric scores.
Shape from Shading for Robotic Manipulation
Controlling illumination can generate high quality information about object surface normals and depth discontinuities at a low computational cost.
Discovering Multiple Algorithm Configurations
In this work, we extend algorithm configuration to automatically discover multiple modes in the tuning dataset.
Approximate Differentiable Rendering with Algebraic Surfaces
In this work, we develop an approximate differentiable renderer for a compact, interpretable representation, which we call Fuzzy Metaballs.
Venue Analytics: A Simple Alternative to Citation-Based Metrics
We present a method for automatically organizing and evaluating the quality of different publishing venues in Computer Science.
Direct Fitting of Gaussian Mixture Models
Part of this work analyzes a general formulation for evaluating likelihood of geometric objects.
Dynamics Based 3D Skeletal Hand Tracking
Based on a depth sensor's samples, the system generates constraints that limit motion orthogonal to the rigid body model's surface.
Intel RealSense Stereoscopic Depth Cameras
We present a comprehensive overview of the stereoscopic Intel RealSense RGBD imaging systems.
