SILICON VALLEY 26-29 MAR 2018
Home > Resources: GTC 2017 Posters > Computer Vision And Machine Vision

Computer Vision And Machine Vision

Check out this collection of scientific posters to find out how researchers in computer & machine vision are accelerating their work with the power of GPUs.

 
  •  

    Applying a Heterogeneous Parallel Algorithm to Estimate 3D Pose of Rigid Objects

    Kenia Picos, Professor, CETYS Universidad

  •  

    Artificial Intensity Remapping: Learning Multimodal Image Descriptors without Multimodal Image Data

    Youngwook Kwon, PhD candidate, UC Berkeley

  •  

    Real-Time Keyer Using Light Field Cameras

    Rodrigo Silva, VFX Researcher, Globo TV Network

  •  

    Speeding Up Harris3D Interest Point Detection Using CUDA

    Jose Valencia, Masters Student, Universidade Federal Fluminense

  •  

    UnrealCV: Connecting Computer Vision to Unreal Engine

    Weichao Qiu, Student, Johns Hopkins University

  •  

    Visual Dialog

    Abhishek Das, CS PhD Student, Georgia Tech

  •  

    A GPU-Accelerated Denoising Algorithm for Scientific Cameras

    Ali Lashgari Faghani, Image processing Manager, Photometrics

  •  

    Single Image 3D Interpreter Network

    Jiajun Wu, Graduate Student, MIT

 
 

CONNECT WITH US

Presented by NVIDIA, GTC is comprised of the annual conference, year-long webinar series, and workshops that connect the global community of developers, researchers, and scientists through unique educational and networking opportunities.