Markku J. Mäkitalo

According to our database, Markku J. Mäkitalo authored at least 22 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Hierarchical Bitmask Implicit Grids for Efficient Point-in-Volume Queries on the GPU.

Julius Ikkala, Tuomas Lauttia, Pekka Jääskeläinen, Markku J. Mäkitalo

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

TauBench 1.1: A Dynamic Benchmark for Graphics Rendering.

Erfan Momeni Yazdi, Markku J. Mäkitalo, Julius Ikkala, Pekka Jääskeläinen

CoRR, 2023

2022

Image and Video Coding Techniques for Ultra-low Latency.

Jakub Zádník, Markku J. Mäkitalo, Jarno Vanne, Pekka Jääskeläinen

ACM Comput. Surv., January, 2022

Real-Time Rendering of Point Clouds With Photorealistic Effects: A Survey.

Petrus E. J. Kivi, Markku J. Mäkitalo, Jakub Zádník, Julius Ikkala, Vinod Kumar Malamal Vadakital, Pekka Jääskeläinen

IEEE Access, 2022

Tauray: A Scalable Real-Time Open-Source Path Tracer for Stereo and Light Field Displays.

Julius Ikkala, Markku J. Mäkitalo, Tuomas Lauttia, Erwan Leria, Pekka Jääskeläinen

Proceedings of the SIGGRAPH Asia 2022 Technical Communications, 2022

Pruned Lightweight Encoders for Computer Vision.

Jakub Zádník, Markku J. Mäkitalo, Pekka Jääskeläinen

Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

TauBench: Dynamic Benchmark for Graphics Rendering.

Joel Alanko, Markku J. Mäkitalo, Pekka Jääskeläinen

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Real-Time Light Field Path Tracing.

Markku J. Mäkitalo, Erwan Leria, Julius Ikkala, Pekka Jääskeläinen

Proceedings of the Advances in Computer Graphics, 2022

2021

Performance of Texture Compression Algorithms in Low-Latency Computer Vision Tasks.

Jakub Zádník, Markku J. Mäkitalo, Jussi Iho, Pekka Jääskeläinen

Proceedings of the 9th European Workshop on Visual Information Processing, 2021

DDISH-GI: Dynamic Distributed Spherical Harmonics Global Illumination.

Julius Ikkala, Petrus E. J. Kivi, Joel Alanko, Markku J. Mäkitalo, Pekka Jääskeläinen

Proceedings of the Advances in Computer Graphics, 2021

2020

Systematic Evaluation of the Quality Benefits of Spatiotemporal Sample Reprojection in Real-Time Stereoscopic Path Tracing.

Markku J. Mäkitalo, Petrus E. J. Kivi, Pekka Jääskeläinen

IEEE Access, 2020

2019

Blockwise Multi-Order Feature Regression for Real-Time Path-Tracing Reconstruction.

Matias Koskela, Kalle Immonen, Markku J. Mäkitalo, Alessandro Foi, Timo Viitanen, Pekka Jääskeläinen, Heikki Kultala, Jarmo Takala

ACM Trans. Graph., 2019

Foveated Real-Time Path Tracing in Visual-Polar Space.

Matias Koskela, Atro Lotvonen, Markku J. Mäkitalo, Petrus E. J. Kivi, Timo Viitanen, Pekka Jääskeläinen

Proceedings of the 30th Eurographics Symposium on Rendering, 2019

Reducing Computational Complexity of Real-Time Stereoscopic Ray Tracing with Spatiotemporal Sample Reprojection.

Markku J. Mäkitalo, Petrus E. J. Kivi, Matias Koskela, Pekka Jääskeläinen

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

2018

Sparse Sampling for Real-time Ray Tracing.

Timo Viitanen, Matias Koskela, Kalle Immonen, Markku J. Mäkitalo, Pekka Jääskeläinen, Jarmo Takala

Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

2017

Exposed datapath optimizations for loop scheduling.

Heikki O. Kultala, Pekka Jääskeläinen, Johannes IJzerman, Lasse Lehtonen, Timo Viitanen, Markku J. Mäkitalo, Jarmo H. Takala

Proceedings of the 2017 International Conference on Embedded Computer Systems: Architectures, 2017

2014

Noise Parameter Mismatch in Variance Stabilization, With an Application to Poisson-Gaussian Noise Estimation.

Markku J. Mäkitalo, Alessandro Foi

IEEE Trans. Image Process., 2014

2013

Optimal Inversion of the Generalized Anscombe Transformation for Poisson-Gaussian Noise.

Markku J. Mäkitalo, Alessandro Foi

IEEE Trans. Image Process., 2013

2012

Poisson-gaussian denoising using the exact unbiased inverse of the generalized anscombe transformation.

Markku J. Mäkitalo, Alessandro Foi

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

A Closed-Form Approximation of the Exact Unbiased Inverse of the Anscombe Variance-Stabilizing Transformation.

Markku J. Mäkitalo, Alessandro Foi

IEEE Trans. Image Process., 2011

Optimal Inversion of the Anscombe Transformation in Low-Count Poisson Image Denoising.

Markku J. Mäkitalo, Alessandro Foi

IEEE Trans. Image Process., 2011

Spatially adaptive alpha-rooting in BM3D sharpening.

Markku J. Mäkitalo, Alessandro Foi

Proceedings of the Image Processing: Algorithms and Systems IX, 2011