Search Results for author: Srinivasa Narasimhan

Found 7 papers, 2 papers with code

One-Step Image Translation with Text-to-Image Models

1 code implementation18 Mar 2024 Gaurav Parmar, Taesung Park, Srinivasa Narasimhan, Jun-Yan Zhu

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.

Denoising Translation

Active Velocity Estimation using Light Curtains via Self-Supervised Multi-Armed Bandits

no code implementations24 Feb 2023 Siddharth Ancha, Gaurav Pathak, Ji Zhang, Srinivasa Narasimhan, David Held

To navigate in an environment safely and autonomously, robots must accurately estimate where obstacles are and how they move.

Multi-Armed Bandits Navigate +1

TesseTrack: End-to-End Learnable Multi-Person Articulated 3D Pose Tracking

no code implementations CVPR 2021 N. Dinesh Reddy, Laurent Guigues, Leonid Pischulini, Jayan Eledath, Srinivasa Narasimhan

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)

2D Pose Estimation 3D Human Pose Tracking +4

4D Visualization of Dynamic Events from Unconstrained Multi-View Videos

no code implementations CVPR 2020 Aayush Bansal, Minh Vo, Yaser Sheikh, Deva Ramanan, Srinivasa Narasimhan

We present a data-driven approach for 4D space-time visualization of dynamic events from videos captured by hand-held multiple cameras.

Self-supervised Multi-view Person Association and Its Applications

no code implementations22 May 2018 Minh Vo, Ersin Yumer, Kalyan Sunkavalli, Sunil Hadap, Yaser Sheikh, Srinivasa Narasimhan

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

no code implementations CVPR 2015 Chao Liu, Hernando Gomez, Srinivasa Narasimhan, Artur Dubrawski, Michael R. Pinsky, Brian Zuckerbraun

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.

Video Stabilization

Cannot find the paper you are looking for? You can Submit a new open access paper.