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A GPU Based 3D Object Retrieval Approach Using Spatial Shape Information

Qian Zhang, Jinyuan Jia, Hongyu Li

Tags: 3D Graphics and Realism, Computer science, Computer vision, Rendering

April 26, 2011 by hgpu

Real-time 3D reconstruction and pose estimation for human motion analysis

Holger Graf, Sang Min Yoon, Cornelius Malerczyk

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Tags: Computer vision, CUDA, Image processing, Image reconstruction, nVidia, nVidia GeForce 8200

April 18, 2011 by hgpu

Performance of Optical Flow Techniques on Graphics Hardware

Marko Durkovic,Michael Zwick,Florian Obermeier,Klaus Diepold

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Tags: Computer science, Computer vision, nVidia, nVidia GeForce 6800 Ultra, nVidia GeForce FX 5900, Optical flow

April 17, 2011 by hgpu

Efficient design and implementation of visual computing algorithms on the GPU

In Kyu Park, Nitin Singhal, Man Hee Lee, Sungdae Cho

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Tags: Algorithms, Computer vision, CUDA, Image processing, JPEG2000, nVidia, nVidia GeForce 9800 GTX, OpenMP

April 14, 2011 by hgpu

Hardware-Efficient Belief Propagation

Chia-Kai Liang, Chao-Chung Cheng, Yen-Chieh Lai, Liang-Gee Chen, Homer H. Chen

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTS

April 13, 2011 by hgpu

GPU-Accelerated KLT Tracking with Monte-Carlo-Based Feature Reselection

Julius Fabian Ohmer, Nicholas J. Redding

Tags: Algorithms, Computer vision, Image processing, Video tracking

April 13, 2011 by hgpu

Real-time 3-D object recognition using scale invariant feature transform and stereo vision

Gee-Sern Hsu, Chyi-Yeu Lin, Jia-Shan Wu

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Tags: Cg, Computer science, Computer vision, GLSL, Image recognition, nVidia, nVidia GeForce 8400 GS, nVidia GeForce 8500 GT, OpenGL, SIFT

April 11, 2011 by hgpu

A simple and efficient way to compute depth maps for multi-view videos

Gael Sourimant

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Tags: Algorithms, Computer science, Computer vision, Optical flow, Video tracking

April 9, 2011 by hgpu

Implementation of Kernel Methods on the GPU

Julius Ohmer, Frederic Maire, Ross Brown

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Tags: Cg, Computer vision, Image processing, Image recognition, nVidia, nVidia GeForce 6800, OpenGL

March 24, 2011 by hgpu

fastHOG – a real-time GPU implementation of HOG

Victor A. Prisacariu, Ian Reid

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Source codes

Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 285, Package

March 22, 2011 by hgpu

Hierarchical belief propagation to reduce search space using CUDA for stereo and motion estimation

Scott Grauer-Gray, Chandra Kambhamettu

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8600 M GT

March 22, 2011 by hgpu

GPU implementation of belief propagation using CUDA for cloud tracking and reconstruction

Scott Grauer-Gray, Chandra Kambhamettu, Kannappan Palaniappan

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GT

March 22, 2011 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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high performance computing on graphics processing units: hgpu.org

A GPU Based 3D Object Retrieval Approach Using Spatial Shape Information

Real-time 3D reconstruction and pose estimation for human motion analysis

Performance of Optical Flow Techniques on Graphics Hardware

Efficient design and implementation of visual computing algorithms on the GPU

Hardware-Efficient Belief Propagation

GPU-Accelerated KLT Tracking with Monte-Carlo-Based Feature Reselection

Real-time 3-D object recognition using scale invariant feature transform and stereo vision

A simple and efficient way to compute depth maps for multi-view videos

Implementation of Kernel Methods on the GPU

fastHOG – a real-time GPU implementation of HOG

Hierarchical belief propagation to reduce search space using CUDA for stereo and motion estimation

GPU implementation of belief propagation using CUDA for cloud tracking and reconstruction

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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