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Markku J. Mäkitalo
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2020 – today
- 2024
- [c16]Julius Ikkala, Tuomas Lauttia, Pekka Jääskeläinen, Markku J. Mäkitalo:
k-DOP Clipping: Robust Ghosting Mitigation in Temporal Antialiasing. SIGGRAPH Asia Technical Communications 2024: 38:1-38:4 - [c15]Julius Ikkala, Tuomas Lauttia, Pekka Jääskeläinen, Markku J. Mäkitalo:
Hierarchical Bitmask Implicit Grids for Efficient Point-in-Volume Queries on the GPU. VISIGRAPP (1): GRAPP, HUCAPP, IVAPP 2024: 285-292 - [c14]Erwan Leria, Markku J. Mäkitalo, Pekka Jääskeläinen, Mårten Sjöström, Tingting Zhang:
Interactive Multi-GPU Light Field Path Tracing Using Multi-Source Spatial Reprojection. VRST 2024: 15:1-15:11 - [c13]Jakub Zádník, Anthony Trioux, Michel Kieffer, Markku J. Mäkitalo, François-Xavier Coudoux, Patrick Corlay, Pekka Jääskeläinen:
Performance of Linear Coding and Transmission in Low-Latency Computer Vision Offloading. WCNC 2024: 1-6 - 2023
- [i2]Erfan Momeni Yazdi, Markku J. Mäkitalo, Julius Ikkala, Pekka Jääskeläinen:
TauBench 1.1: A Dynamic Benchmark for Graphics Rendering. CoRR abs/2305.04804 (2023) - 2022
- [j8]Petrus E. J. Kivi, Markku J. Mäkitalo, Jakub Zádník, Julius Ikkala, Vinod Kumar Malamal Vadakital, Pekka Jääskeläinen:
Real-Time Rendering of Point Clouds With Photorealistic Effects: A Survey. IEEE Access 10: 13151-13173 (2022) - [j7]Jakub Zádník, Markku J. Mäkitalo, Jarno Vanne, Pekka Jääskeläinen:
Image and Video Coding Techniques for Ultra-low Latency. ACM Comput. Surv. 54(11s): 231:1-231:35 (2022) - [c12]Markku J. Mäkitalo, Erwan Leria, Julius Ikkala, Pekka Jääskeläinen:
Real-Time Light Field Path Tracing. CGI 2022: 211-226 - [c11]Joel Alanko, Markku J. Mäkitalo, Pekka Jääskeläinen:
TauBench: Dynamic Benchmark for Graphics Rendering. VISIGRAPP (1: GRAPP) 2022: 172-179 - [c10]Jakub Zádník, Markku J. Mäkitalo, Pekka Jääskeläinen:
Pruned Lightweight Encoders for Computer Vision. MMSP 2022: 1-6 - [c9]Julius Ikkala, Markku J. Mäkitalo, Tuomas Lauttia, Erwan Leria, Pekka Jääskeläinen:
Tauray: A Scalable Real-Time Open-Source Path Tracer for Stereo and Light Field Displays. SIGGRAPH Asia Technical Communications 2022: 11:1-11:4 - [i1]Jakub Zádník, Markku J. Mäkitalo, Pekka Jääskeläinen:
Pruned Lightweight Encoders for Computer Vision. CoRR abs/2211.13137 (2022) - 2021
- [c8]Julius Ikkala, Petrus E. J. Kivi, Joel Alanko, Markku J. Mäkitalo, Pekka Jääskeläinen:
DDISH-GI: Dynamic Distributed Spherical Harmonics Global Illumination. CGI 2021: 433-451 - [c7]Jakub Zádník, Markku J. Mäkitalo, Jussi Iho, Pekka Jääskeläinen:
Performance of Texture Compression Algorithms in Low-Latency Computer Vision Tasks. EUVIP 2021: 1-6 - 2020
- [j6]Markku J. Mäkitalo, Petrus E. J. Kivi, Pekka Jääskeläinen:
Systematic Evaluation of the Quality Benefits of Spatiotemporal Sample Reprojection in Real-Time Stereoscopic Path Tracing. IEEE Access 8: 133514-133526 (2020)
2010 – 2019
- 2019
- [j5]Matias Koskela, Kalle Immonen, Markku J. Mäkitalo, Alessandro Foi, Timo Viitanen, Pekka Jääskeläinen, Heikki Kultala, Jarmo Takala:
Blockwise Multi-Order Feature Regression for Real-Time Path-Tracing Reconstruction. ACM Trans. Graph. 38(5): 138:1-138:14 (2019) - [c6]Markku J. Mäkitalo, Petrus E. J. Kivi, Matias Koskela, Pekka Jääskeläinen:
Reducing Computational Complexity of Real-Time Stereoscopic Ray Tracing with Spatiotemporal Sample Reprojection. VISIGRAPP (1: GRAPP) 2019: 367-374 - [c5]Matias Koskela, Atro Lotvonen, Markku J. Mäkitalo, Petrus E. J. Kivi, Timo Viitanen, Pekka Jääskeläinen:
Foveated Real-Time Path Tracing in Visual-Polar Space. EGSR (DL/I) 2019: 39-50 - 2018
- [c4]Timo Viitanen, Matias Koskela, Kalle Immonen, Markku J. Mäkitalo, Pekka Jääskeläinen, Jarmo Takala:
Sparse Sampling for Real-time Ray Tracing. VISIGRAPP (1: GRAPP) 2018: 295-302 - 2017
- [c3]Heikki O. Kultala, Pekka Jääskeläinen, Johannes IJzerman, Lasse Lehtonen, Timo Viitanen, Markku J. Mäkitalo, Jarmo H. Takala:
Exposed datapath optimizations for loop scheduling. SAMOS 2017: 171-178 - 2014
- [j4]Markku J. Mäkitalo, Alessandro Foi:
Noise Parameter Mismatch in Variance Stabilization, With an Application to Poisson-Gaussian Noise Estimation. IEEE Trans. Image Process. 23(12): 5348-5359 (2014) - 2013
- [j3]Markku J. Mäkitalo, Alessandro Foi:
Optimal Inversion of the Generalized Anscombe Transformation for Poisson-Gaussian Noise. IEEE Trans. Image Process. 22(1): 91-103 (2013) - 2012
- [c2]Markku J. Mäkitalo, Alessandro Foi:
Poisson-gaussian denoising using the exact unbiased inverse of the generalized anscombe transformation. ICASSP 2012: 1081-1084 - 2011
- [j2]Markku J. Mäkitalo, Alessandro Foi:
Optimal Inversion of the Anscombe Transformation in Low-Count Poisson Image Denoising. IEEE Trans. Image Process. 20(1): 99-109 (2011) - [j1]Markku J. Mäkitalo, Alessandro Foi:
A Closed-Form Approximation of the Exact Unbiased Inverse of the Anscombe Variance-Stabilizing Transformation. IEEE Trans. Image Process. 20(9): 2697-2698 (2011) - [c1]Markku J. Mäkitalo, Alessandro Foi:
Spatially adaptive alpha-rooting in BM3D sharpening. Image Processing: Algorithms and Systems 2011: 787012
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