Search Results for author:
Found 7 papers, 2 papers with code
One-Step Image Translation with Text-to-Image Models
In this work, we address two limitations of existing conditional diffusion models: their slow inference speed due to the iterative denoising process and their reliance on paired data for model fine-tuning.
Active Velocity Estimation using Light Curtains via Self-Supervised Multi-Armed Bandits
To navigate in an environment safely and autonomously, robots must accurately estimate where obstacles are and how they move.
TesseTrack: End-to-End Learnable Multi-Person Articulated 3D Pose Tracking
At the core of our approach is a novel spatio-temporal formulation that operates in a common voxelized feature space aggregated from single- or multiple camera views.
Ranked #1 on
3D Human Pose Estimation
on Panoptic
(using extra training data)
4D Visualization of Dynamic Events from Unconstrained Multi-View Videos
We present a data-driven approach for 4D space-time visualization of dynamic events from videos captured by hand-held multiple cameras.
Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera
Depth sensing is crucial for 3D reconstruction and scene understanding.
Self-supervised Multi-view Person Association and Its Applications
Reliable markerless motion tracking of people participating in a complex group activity from multiple moving cameras is challenging due to frequent occlusions, strong viewpoint and appearance variations, and asynchronous video streams.
Real-Time Visual Analysis of Microvascular Blood Flow for Critical Care
Our method is able to extract microcirculatory measurements that are consistent with clinical intuition and it has a potential to become a useful tool in critical care medicine.
