high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer vision

DenseCut: Densely Connected CRFs for Realtime GrabCut

M. M. Cheng, V. A. Prisacariu, S. Zheng, P. H. S. Torr, C. Rother

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Tags: Computer vision, CUDA, Image processing, nVidia, Package, Tesla K40

August 7, 2015 by hgpu

Towards Distortion-Predictable Embedding of Neural Networks

Axel Angel

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Tags: Caffe, Computer science, Computer vision, CUDA, Deep learning, Neural networks, nVidia, Package, Thesis

August 7, 2015 by hgpu

Real-Time Pedestrian Detection With Deep Networks Cascades

Anelia Angelova, Alex Krizhevsky, Vincent Vanhoucke, Abhijit Ogale, Dave Ferguson

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Tags: Algorithms, Computer science, Computer vision, CUDA, Deep learning, Neural networks, nVidia, Package, Tesla K20

August 6, 2015 by hgpu

Semantic Pose using Deep Networks Trained on Synthetic RGB-D

Jeremie Papon, Markus Schoeler

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Tags: CNN, Computer science, Computer vision, Deep learning, Neural networks, nVidia, nVidia GeForce GTX Titan X, Rendering

August 5, 2015 by hgpu

Target Marker: A Visual Marker for Long Distances and Detection in Realtime on Mobile Devices

Oliver Christen, Edwin Naroska, Alexander Micheel, Shanq-Jang Ruan

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Tags: Computer science, Computer vision, Image recognition, OpenCL, OpenCV

August 5, 2015 by hgpu

Face Search at Scale: 80 Million Gallery

Dayong Wang, Charles Otto, Anil K. Jain

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Tags: Computer science, Computer vision, CUDA, Deep learning, Face detection, nVidia

August 3, 2015 by hgpu

Real-Time Scheduling for GPUs with Applications in Advanced Automotive Systems

Glenn A. Elliott

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Tags: Computer science, Computer vision, nVidia, nVidia Quadro K5000, Task scheduling, Thesis

August 3, 2015 by hgpu

Experiences in Speeding Up Computer Vision Applications on Mobile Computing Platforms

Luna Backes, Alejandro Rico, Bjorn Franke

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Tags: ARM, Computer science, Computer vision, Embedded high-performance computing, OpenCL

July 28, 2015 by hgpu

Massively Deep Artificial Neural Networks for Handwritten Digit Recognition

Keiron O'Shea

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Tags: Computer science, Computer vision, CUDA, Deep learning, Machine learning, nVidia, nVidia GeForce GTX 580

July 24, 2015 by hgpu

An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

Baoguang Shi, Xiang Bai, Cong Yao

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Tags: Computer science, Computer vision, CUDA, Deep learning, Machine learning, nVidia, Tesla K40

July 24, 2015 by hgpu

On the use of deep Boltzmann machines for road signs classification

Carlo D'Eramo

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Tags: Computer science, Computer vision, CUDA, Image recognition, Machine learning, nVidia, Python, Tesla C1060, Thesis

July 22, 2015 by hgpu

Raspberry Pi based System for Visual Object Detection and Tracking

Aleksei Tepljakov

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Tags: ARM, Computer science, Computer vision, OpenCV, Thesis

July 22, 2015 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

DenseCut: Densely Connected CRFs for Realtime GrabCut

Towards Distortion-Predictable Embedding of Neural Networks

Real-Time Pedestrian Detection With Deep Networks Cascades

Semantic Pose using Deep Networks Trained on Synthetic RGB-D

Target Marker: A Visual Marker for Long Distances and Detection in Realtime on Mobile Devices

Face Search at Scale: 80 Million Gallery

Real-Time Scheduling for GPUs with Applications in Advanced Automotive Systems

Experiences in Speeding Up Computer Vision Applications on Mobile Computing Platforms

Massively Deep Artificial Neural Networks for Handwritten Digit Recognition

An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

On the use of deep Boltzmann machines for road signs classification

Raspberry Pi based System for Visual Object Detection and Tracking

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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