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



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.