Search Results for author:
Found 6 papers, 3 papers with code
DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly
Reassembly tasks play a fundamental role in many fields and multiple approaches exist to solve specific reassembly problems.
$\pi2\text{vec}$: Policy Representations with Successor Features
This paper describes $\pi2\text{vec}$, a method for representing behaviors of black box policies as feature vectors.
Positional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic Models
We present Positional Diffusion, a plug-and-play graph formulation with Diffusion Probabilistic Models to address positional reasoning.
Self-improving object detection via disagreement reconciliation
Object detectors often experience a drop in performance when new environmental conditions are insufficiently represented in the training data.
Look around and learn: self-improving object detection by exploration
Object detectors often experience a drop in performance when new environmental conditions are insufficiently represented in the training data.
Lifting Monocular Events to 3D Human Poses
Here we propose the first learning-based method for 3D human pose from a single stream of events.
Ranked #2 on
3D Human Pose Estimation
on DHP19
