high performance computing on graphics processing units: hgpu.org

hgpu.org » Optical flow

Using sparse optical flow for multiple Kinect applications

Kai Berger, Yannic Schroeder, Stefan Guthe, Marc Aurel Kastner

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 690, Optical flow

June 4, 2013 by hgpu

Supporting Iteration in a Heterogeneous Data Flow Engine

Jon Currey, Simon Baker, Christopher J. Rossbach

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Tags: Algorithms, Computer science, Computer vision, DirectCompute, Heterogeneous systems, MapReduce, nVidia, nVidia GeForce GTX 580, Optical flow

April 18, 2013 by hgpu

Multi-GPU based on multicriteria optimization for motion estimation system

Carlos Garcia, Guillermo Botella, Fermin Ayuso, Manuel Prieto, Francisco Tirado

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Tags: Algorithms, Computer vision, CUDA, Data parallelism, nVidia, Optical flow, Signal processing, Tesla C1060, Tesla M2070

February 27, 2013 by hgpu

Duality based optical flow algorithms with applications

Lars Lau Raket

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Tags: Computer science, Computer vision, CUDA, nVidia, Optical flow, Tesla C2050

January 19, 2013 by hgpu

Fast motion detection from airborne videos using graphics processing unit

Kui Liu, Ben Ma, Qian Du, Genshe Chen

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

June 23, 2012 by hgpu

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

Asmaa Hosni, Christoph Rhemann, Michael Bleyer, Margrit Gelautz

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

April 3, 2012 by hgpu

Computing optical flow using fast total variation

Arthur Masson

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Tags: Algorithms, Computer science, OpenCL, Optical flow, Optimization, Thesis

January 23, 2012 by hgpu

A Modular System Architecture for Online Parallel Vision Pipelines

Jeremie Papon, Alexey Abramov, Eren Aksoy, Florentin Worgotter

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Source codes

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 295, Optical flow, Package

January 16, 2012 by hgpu

People detection method using graphics processing units for a mobile robot with an omnidirectional camera

Sungil Kang, Annah Roh, Bodam Nam, Hyunki Hong

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 460, Optical flow

January 10, 2012 by hgpu

GPU TV-L1 Optical Flow

Brian Hrolenok, Chris McClanahan

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GT 330 M, OpenCL, Optical flow, Security

January 4, 2012 by hgpu

Design and Development of Optical Flow Based Obstacle Avoidance Using CUDA

S. Jeevith , N.D. Gangadhar, S. Santhosh Kumar

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

December 25, 2011 by hgpu

A fast and intuitive visual programming language (VPL) for constructing Computer Vision and Image processing systems on GPUs

Tejas D Kulkarni

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Tags: Algorithms, Computer science, Computer vision, CUDA, Image processing, nVidia, Optical flow

December 12, 2011 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Using sparse optical flow for multiple Kinect applications

Supporting Iteration in a Heterogeneous Data Flow Engine

Multi-GPU based on multicriteria optimization for motion estimation system

Duality based optical flow algorithms with applications

Fast motion detection from airborne videos using graphics processing unit

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

Computing optical flow using fast total variation

A Modular System Architecture for Online Parallel Vision Pipelines

People detection method using graphics processing units for a mobile robot with an omnidirectional camera

GPU TV-L1 Optical Flow

Design and Development of Optical Flow Based Obstacle Avoidance Using CUDA

A fast and intuitive visual programming language (VPL) for constructing Computer Vision and Image processing systems on GPUs

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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