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Efficient planar features matching for robot localization using GPU

Baptiste Charmette, Eric Royer, Frederic Chausse

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia Quadro FX 770 M, SIFT

March 20, 2011 by hgpu

GPU Vision: Accelerating Computer Vision algorithms with Graphics Processing Units

Tamas K. Lengyel, James Gedarovich, Antonio Cusano, Thomas J. Peters

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 9800 GT

March 20, 2011 by hgpu

Mean Shift Parallel Tracking on GPU

Peihua Li, Lijuan Xiao

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

March 19, 2011 by hgpu

2D and 3D level-set algorithms on GPU

G. J. Tornai, G. Cserey

Tags: Algorithms, Computer science, Computer vision

March 18, 2011 by hgpu

Efficient Canny Edge Detection Using a GPU

Kohei Ogawa, Yasuaki Ito, Koji Nakano

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Tags: Computer vision, CUDA, Image processing, nVidia

March 15, 2011 by hgpu

Dense point trajectories by GPU-accelerated large displacement optical flow

Narayanan Sundaram, Thomas Brox, Kurt Keutzer

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

March 15, 2011 by hgpu

Fast Human Detection with Cascaded Ensembles

Berkin Bilgic

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, Thesis

March 14, 2011 by hgpu

Fast Human Detection with Cascaded Ensembles on the GPU

Berkin Bilgic, Berthold K. P. Horn, Ichiro Masaki

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

March 14, 2011 by hgpu

Efficient Integral Image Computation on the GPU

Berkin Bilgic, Berthold K. P. Horn, Ichiro Masaki

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Tags: Computer vision, CUDA, Image processing, Image recognition, nVidia

March 14, 2011 by hgpu

GPU Accelerated Face Detection

Jiangang Kong, Yangdong Deng

Tags: Computer science, Computer vision, Image recognition, nVidia, nVidia GeForce GTX 280

March 14, 2011 by hgpu

Real-Time Image Segmentation on a GPU

Alexey Abramov, Tomas Kulvicius, F. Worgotter, B. Dellen

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 295, Real-time graphics

March 13, 2011 by hgpu

GPU Computing with Orientation Maps for Extracting Local Invariant Features

Naoyuki Ichimura

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 4600

March 12, 2011 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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high performance computing on graphics processing units: hgpu.org

Efficient planar features matching for robot localization using GPU

GPU Vision: Accelerating Computer Vision algorithms with Graphics Processing Units

Mean Shift Parallel Tracking on GPU

2D and 3D level-set algorithms on GPU

Efficient Canny Edge Detection Using a GPU

Dense point trajectories by GPU-accelerated large displacement optical flow

Fast Human Detection with Cascaded Ensembles

Fast Human Detection with Cascaded Ensembles on the GPU

Efficient Integral Image Computation on the GPU

GPU Accelerated Face Detection

Real-Time Image Segmentation on a GPU

GPU Computing with Orientation Maps for Extracting Local Invariant Features

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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