high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science » Computer vision

Real-time Traffic Sign Recognition with Map Fusion on Multicore/Many-core Architectures

Kerem Par, Oguz Tosun

View

Download (PDF)

Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 580

May 15, 2012 by hgpu

Implementation and Optimization of Image Processing Algorithms on Embedded GPU

Nitin Singhal, Jin Woo Yoo, Ho Yeol Choi, In Kyu Park

View

Download (PDF)

Tags: Algorithms, ARM, Computer vision, Image processing, OpenGL, Optimization, Rendering

May 7, 2012 by hgpu

Temporally Consistent Disparity and Optical Flow via Efficient Spatio-temporal Filtering

Asmaa Hosni, Christoph Rhemann, Michael Bleyer, Margrit Gelautz

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, Filtering, nVidia, nVidia GeForce GTX 480, Optical flow

April 3, 2012 by hgpu

GPU Accelerated Real-Time Object Detection on High Resolution Videos Using Modified Census Transform

Salih Cihan Tek, Muhittin Gokmen

View

Download (PDF)

Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 580

March 11, 2012 by hgpu

CUDA Accelerated Face Recognition Using Local Binary Patterns

Salih Cihan Tek, Muhittin Gokmen

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, Image recognition, Nearest neighbour, nVidia, nVidia GeForce GTX 580

March 10, 2012 by hgpu

Multi-Object Geodesic Active Contours (MOGAC): A Parallel Sparse-Field Algorithm for Image Segmentation

Blake C. Lucas, Michael Kazhdan, Russell H. Taylor

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, Java, nVidia, nVidia Quadro FX 4000, OpenCL

March 10, 2012 by hgpu

Parallel Implementation of Similarity Measures on GPU Architecture using CUDA

Kuldeep Yadav, Ankush Mittal, M.A Ansari, Vennktesh Vishwarup

View

Download (PDF)

Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 9500 GT, Pattern recognition

March 2, 2012 by hgpu

Exploiting Segmentation for Robust 3D Object Matching

Michael Krainin, Kurt Konolige, Dieter Fox

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTS 450, OpenGL, Package

February 18, 2012 by hgpu

Proposition for propagated occupation grids for non-rigid moving objects tracking

Benjamin Lefaudeux, Gwennael Gate, Fawzi Nashashibi

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia

February 17, 2012 by hgpu

Fast GPU-based image warping and inpainting for frame interpolation

Jakub Rosner, Hannes Fassold, Peter Schallauer, Werner Bailer

View

Download (PDF)

Tags: Computer vision, CUDA, GPU, Image alignment, Image Inpainting, Image Warping, nVidia, nVidia GeForce GTX 285

February 17, 2012 by HannesF99

Accelerated People Tracking Using Texture in a Camera Network

Wasit Limprasert, Andrew Wallace, Greg Michaelson

View

Download (PDF)

Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTS 250

February 14, 2012 by hgpu

Face Detection CUDA Accelerating

Jaromir Krpec, Martin Nemec

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia

February 12, 2012 by hgpu

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice

HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments

BAT: A standardized benchmark suite for auto-tuners

BAT: A Benchmark suite for AutoTuners

The Darmstadt Automotive Parallel HeterogeNEous (DAPHNE) Benchmark-Suite

Programming Heterogeneous Systems with General and Domain-Specific Frameworks

General purpose lattice QCD code set Bridge++ 2.0 for high performance computing

MQBench: Towards Reproducible and Deployable Model Quantization Benchmark

Performance Evaluation of Python ParallelProgramming Models: Charm4Py and mpi4py

iGUARD: In-GPU Advanced Race Detection

TaPaSCo: The Task Parallel System Composer

Optimizing a Hardware Network Stack to Realize an In-Network ML Inference Application

Tapenade Automatic Differentiation Engine

Source-to-Source Automatic Differentiation of OpenMP Parallel Loops

Colossal-AI: an integrated large-scale model training system with efficient parallelization techniques

Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Real-time Traffic Sign Recognition with Map Fusion on Multicore/Many-core Architectures

Implementation and Optimization of Image Processing Algorithms on Embedded GPU

Temporally Consistent Disparity and Optical Flow via Efficient Spatio-temporal Filtering

GPU Accelerated Real-Time Object Detection on High Resolution Videos Using Modified Census Transform

CUDA Accelerated Face Recognition Using Local Binary Patterns

Multi-Object Geodesic Active Contours (MOGAC): A Parallel Sparse-Field Algorithm for Image Segmentation

Parallel Implementation of Similarity Measures on GPU Architecture using CUDA

Exploiting Segmentation for Robust 3D Object Matching

Proposition for propagated occupation grids for non-rigid moving objects tracking

Fast GPU-based image warping and inpainting for frame interpolation

Accelerated People Tracking Using Texture in a Camera Network

Face Detection CUDA Accelerating

Recent source codes

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice

BAT: A standardized benchmark suite for auto-tuners

The Darmstadt Automotive Parallel HeterogeNEous (DAPHNE) Benchmark-Suite

General purpose lattice QCD code set Bridge++ 2.0 for high performance computing

MQBench: Towards Reproducible and Deployable Model Quantization Benchmark

Performance Evaluation of Python ParallelProgramming Models: Charm4Py and mpi4py

iGUARD: In-GPU Advanced Race Detection

TaPaSCo: The Task Parallel System Composer

Tapenade Automatic Differentiation Engine

Colossal-AI: an integrated large-scale model training system with efficient parallelization techniques

Most viewed papers (last 30 days)