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hgpu.org » Applications » Computer science » Computer vision

Morphological Proximity Priors: Spatial Relationships for Semantic Segmentation

Julia Bergbauer, Claudia Nieuwenhuis, Mohamed Souiai, Daniel Cremers

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 680

October 29, 2013 by hgpu

GPU-Mapping: Robotic Map Building with Graphical Multiprocessors

Diego Rodriguez-Losada, Pablo San Segundo, Miguel Hernando, Paloma de la Puente, Alberto Valero

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8400 M GS, nVidia GeForce GTX 280

October 29, 2013 by hgpu

Fingerprint Local Invariant Feature Extraction on GPU with CUDA

Ali Ismail Awad

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Tags: Algorithms, Biometrics, Computer science, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GT 430, SIFT

October 22, 2013 by hgpu

Performance Comparison of GPU, DSP and FPGA implementations of image processing and computer vision algorithms in embedded systems

Egil Fykse

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Tags: Benchmarking, Computer science, Computer vision, CUDA, DSP, FPGA, Image processing, nVidia, nVidia GeForce GTX 660 Ti, nVidia Quadro 1000 M, OpenCV, Performance, Thesis

October 15, 2013 by hgpu

GPU-Framework for Teamwork Action Recognition

Mohamed Elhoseiny, Hossam Faheem, Taymour Nazmy, Eman Shaaban

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Tags: Computer science, Computer vision, CUDA, Machine learning, nVidia, nVidia GeForce 9500 GT, OpenCV

October 15, 2013 by hgpu

Facial Expression Recognition – Review

Umesh Balkrishna Chavan, Dinesh B Kulkarni

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Tags: Computer science, Computer vision, CUDA, nVidia, Pattern recognition

October 4, 2013 by hgpu

MC-RANSAC: A Pre-processing Model for RANSAC using Monte Carlo method implemented on a GPU

Priyank Trivedi, Tejaswi Agarwal, K. Muthunagai

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Tags: Computer science, Computer vision, Consensus, CUDA, Filtering, Monte Carlo simulation, nVidia

October 4, 2013 by hgpu

GPU-Accelerated Real-Time Surveillance De-Weathering

Niklas Pettersson

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Tags: Computer science, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 680, Thesis

October 1, 2013 by hgpu

Head Pose Tracking Using GPU Based Real-time 3D Registration

Sung-In Choi, Udaya Wijenayake, Soon-Yong Park

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 650

October 1, 2013 by hgpu

Optimizing Real Time GPU Kernels Using Fuzzy Inference System

Deepali Shinde, Mithilesh Said, Pratik Shetty, Swapnil Gharat

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GT 420 M

October 1, 2013 by hgpu

The Complete Rank Transform: A Tool for Accurate and Morphologically Invariant Matching of Structures

Oliver Demetz, David Hafner, Joachim Weickert

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Tags: Computer science, Computer vision, CUDA, Mathematics, nVidia, nVidia GeForce GTX 460

September 29, 2013 by hgpu

Workload Analysis and Efficient OpenCL-based Implementation of SIFT Algorithm on a Smartphone

Guohui Wang, Blaine Rister, Joseph R. Cavallaro

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Tags: ARM, Computational Complexity, Computer science, Computer vision, OpenCL, SIFT

September 20, 2013 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

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high performance computing on graphics processing units: hgpu.org

Applications

Morphological Proximity Priors: Spatial Relationships for Semantic Segmentation

GPU-Mapping: Robotic Map Building with Graphical Multiprocessors

Fingerprint Local Invariant Feature Extraction on GPU with CUDA

Performance Comparison of GPU, DSP and FPGA implementations of image processing and computer vision algorithms in embedded systems

GPU-Framework for Teamwork Action Recognition

Facial Expression Recognition – Review

MC-RANSAC: A Pre-processing Model for RANSAC using Monte Carlo method implemented on a GPU

GPU-Accelerated Real-Time Surveillance De-Weathering

Head Pose Tracking Using GPU Based Real-time 3D Registration

Optimizing Real Time GPU Kernels Using Fuzzy Inference System

The Complete Rank Transform: A Tool for Accurate and Morphologically Invariant Matching of Structures

Workload Analysis and Efficient OpenCL-based Implementation of SIFT Algorithm on a Smartphone

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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