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2020 – today
- 2023
[j18]Budmonde Duinkharjav, Benjamin Liang, Anjul Patney, Rachel Brown, Qi Sun:
The Shortest Route is Not Always the Fastest: Probability-Modeled Stereoscopic Eye Movement Completion Time in VR. ACM Trans. Graph. 42(6): 220:1-220:14 (2023)- [c18]Rahul Singh
, Muhammad Huzaifa, Jeffrey Liu, Anjul Patney, Hashim Sharif, Yifan Zhao, Sarita V. Adve:
Power, Performance, and Image Quality Tradeoffs in Foveated Rendering. VR 2023: 205-214 - [i10]Yazhou Xing, Amrita Mazumdar, Anjul Patney, Chao Liu, Hongxu Yin, Qifeng Chen, Jan Kautz, Iuri Frosio:
Online Overexposed Pixels Hallucination in Videos with Adaptive Reference Frame Selection. CoRR abs/2308.15462 (2023) - [i9]Budmonde Duinkharjav, Benjamin Liang, Anjul Patney, Rachel Brown, Qi Sun:
The Shortest Route Is Not Always the Fastest: Probability-Modeled Stereoscopic Eye Movement Completion Time in VR. CoRR abs/2309.15183 (2023) - 2022
- [j17]Meixu Chen, Todd Goodall, Anjul Patney, Alan C. Bovik:
Learning to compress videos without computing motion. Signal Process. Image Commun. 103: 116633 (2022) - [j16]Yize Jin, Anjul Patney, Richard Webb, Alan C. Bovik:
FOVQA: Blind Foveated Video Quality Assessment. IEEE Trans. Image Process. 31: 4571-4584 (2022) - [j15]Budmonde Duinkharjav, Praneeth Chakravarthula, Rachel Brown, Anjul Patney, Qi Sun:
Image features influence reaction time: a learned probabilistic perceptual model for saccade latency. ACM Trans. Graph. 41(4): 144:1-144:15 (2022) - [i8]Budmonde Duinkharjav, Praneeth Chakravarthula, Rachel Brown, Anjul Patney, Qi Sun:
Image Features Influence Reaction Time: A Learned Probabilistic Perceptual Model for Saccade Latency. CoRR abs/2205.02437 (2022) - 2021
- [j14]Yize Jin, Meixu Chen, Todd Goodall, Anjul Patney, Alan C. Bovik:
Subjective and Objective Quality Assessment of 2D and 3D Foveated Video Compression in Virtual Reality. IEEE Trans. Image Process. 30: 5905-5919 (2021) - [j13]Rafal K. Mantiuk, Gyorgy Denes, Alexandre Chapiro, Anton Kaplanyan, Gizem Rufo, Romain Bachy, Trisha Lian, Anjul Patney:
FovVideoVDP: a visible difference predictor for wide field-of-view video. ACM Trans. Graph. 40(4): 49:1-49:19 (2021) - [c17]Y. Jin, Todd Goodall, Anjul Patney, R. Webb, Alan C. Bovik:
A Foveated Video Quality Assessment Model Using Space-Variant Natural Scene Statistics. ICIP 2021: 1419-1423 - [c16]Meixu Chen, Anjul Patney, Alan C. Bovik:
MOVI-Codec: Deep Video Compression without Motion. PCS 2021: 1-5 - [c15]Yize Jin, Anjul Patney, Alan C. Bovik:
Evaluating Foveated Video Quality Using Entropic Differencing. PCS 2021: 1-5 - [i7]Yize Jin, Anjul Patney, Alan C. Bovik:
Evaluating Foveated Video Quality Using Entropic Differencing. CoRR abs/2106.06817 (2021) - [i6]Yize Jin, Anjul Patney, Richard Webb, Alan C. Bovik:
FOVQA: Blind Foveated Video Quality Assessment. CoRR abs/2106.13328 (2021) - 2020
- [j12]Jon Hasselgren, Jacob Munkberg, Marco Salvi, Anjul Patney, Aaron E. Lefohn:
Neural Temporal Adaptive Sampling and Denoising. Comput. Graph. Forum 39(2): 147-155 (2020) - [c14]Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Animashree Anandkumar:
Semi-Supervised StyleGAN for Disentanglement Learning. ICML 2020: 7360-7369 - [p3]Gordon Wetzstein, Anjul Patney, Qi Sun:
State of the Art in Perceptual VR Displays. Real VR 2020: 221-243 - [p2]Qi Sun, Anjul Patney, Frank Steinicke:
Redirected Walking in VR. Real VR 2020: 285-292 - [i5]Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Anima Anandkumar:
Semi-Supervised StyleGAN for Disentanglement Learning. CoRR abs/2003.03461 (2020) - [i4]Meixu Chen, Todd Goodall, Anjul Patney, Alan C. Bovik:
Learning to Compress Videos without Computing Motion. CoRR abs/2009.14110 (2020)
2010 – 2019
- 2018
- [j11]Scott A. Mitchell, Mohamed S. Ebeida, Muhammad A. Awad, Chonhyon Park, Anjul Patney, Ahmad A. Rushdi, Laura P. Swiler, Dinesh Manocha, Li-Yi Wei:
Spoke-Darts for High-Dimensional Blue-Noise Sampling. ACM Trans. Graph. 37(2): 22 (2018) - [j10]Qi Sun, Anjul Patney, Li-Yi Wei, Omer Shapira, Jingwan Lu, Paul Asente, Suwen Zhu, Morgan McGuire, David Luebke, Arie E. Kaufman:
Towards virtual reality infinite walking: dynamic saccadic redirection. ACM Trans. Graph. 37(4): 67 (2018) - [c13]Anjul Patney, Aaron E. Lefohn:
Detecting aliasing artifacts in image sequences using deep neural networks. High Performance Graphics 2018: 4:1-4:4 - [c12]Anjul Patney, Marina Zannoli, Joohwan Kim, Robert Konrad, Frank Steinicke, Martin S. Banks:
Applications of vision science to virtual and augmented reality. SIGGRAPH Courses 2018: 8:1-8:28 - 2017
- [j9]Rachel A. Albert, Anjul Patney, David Luebke, Joohwan Kim:
Latency Requirements for Foveated Rendering in Virtual Reality. ACM Trans. Appl. Percept. 14(4): 25:1-25:13 (2017) - [c11]Christoph Schied, Anton Kaplanyan, Chris Wyman, Anjul Patney, Chakravarty R. Alla Chaitanya, John Burgess, Shiqiu Liu, Carsten Dachsbacher, Aaron E. Lefohn, Marco Salvi:
Spatiotemporal variance-guided filtering: real-time reconstruction for path-traced global illumination. High Performance Graphics 2017: 2:1-2:12 - [c10]Anjul Patney, Marina Zannoli, George Alex Koulieris, Joohwan Kim, Gordon Wetzstein, Frank Steinicke:
Applications of visual perception to virtual reality rendering. SIGGRAPH Courses 2017: 1:1-1:38 - [c9]Kaan Aksit, Ward Lopes, Jonghyun Kim, Josef B. Spjut, Anjul Patney, Peter Shirley, David Luebke, Steven A. Cholewiak, Pratul P. Srinivasan, Ren Ng, Martin S. Banks, Gordon D. Love:
Varifocal virtuality: a novel optical layout for near-eye display. SIGGRAPH Emerging Technologies 2017: 25:1-25:2 - 2016
- [j8]Anjul Patney, Marco Salvi, Joohwan Kim, Anton Kaplanyan, Chris Wyman, Nir Benty, David Luebke, Aaron E. Lefohn:
Towards foveated rendering for gaze-tracked virtual reality. ACM Trans. Graph. 35(6): 179:1-179:12 (2016) - [c8]Anton S. Kaplanyan, Stephan Hill, Anjul Patney, Aaron E. Lefohn:
Filtering distributions of normals for shading antialiasing. High Performance Graphics 2016: 151-162 - [c7]Anjul Patney, Joohwan Kim, Marco Salvi, Anton Kaplanyan, Chris Wyman, Nir Benty, Aaron E. Lefohn, David Luebke:
Perceptually-based foveated virtual reality. SIGGRAPH Emerging Technologies 2016: 17:1-17:2 - 2015
- [j7]Anjul Patney, Stanley Tzeng, Kerry A. Seitz Jr., John D. Owens:
Piko: a framework for authoring programmable graphics pipelines. ACM Trans. Graph. 34(4): 147:1-147:13 (2015) - [p1]Mohamed S. Ebeida, Scott A. Mitchell, Anjul Patney, Andrew A. Davidson, Stanley Tzeng, Muhammad A. Awad, Ahmed H. Mahmoud, John D. Owens:
Exercises in High-Dimensional Sampling: Maximal Poisson-Disk Sampling and k-d Darts. Topological and Statistical Methods for Complex Data, Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces 2015: 221-238 - 2014
- [j6]Mohamed S. Ebeida, Anjul Patney, Scott A. Mitchell, Keith R. Dalbey, Andrew A. Davidson, John D. Owens:
k-d Darts: Sampling by k-dimensional flat searches. ACM Trans. Graph. 33(1): 3:1-3:16 (2014) - [i3]Anjul Patney, Stanley Tzeng, Kerry A. Seitz Jr., John D. Owens:
Piko: A Design Framework for Programmable Graphics Pipelines. CoRR abs/1404.6293 (2014) - [i2]Scott A. Mitchell, Mohamed S. Ebeida, Muhammad A. Awad, Chonhyon Park, Anjul Patney, Ahmad A. Rushdi, Laura P. Swiler, Dinesh Manocha, Li-Yi Wei:
Spoke-Darts for High-Dimensional Blue-Noise Sampling. CoRR abs/1408.1118 (2014) - 2013
- [i1]Mohamed S. Ebeida, Anjul Patney, Scott A. Mitchell, Keith R. Dalbey, Andrew A. Davidson, John D. Owens:
k-d Darts: Sampling by k-Dimensional Flat Searches. CoRR abs/1302.3917 (2013) - 2012
- [j5]Mohamed S. Ebeida, Scott A. Mitchell, Anjul Patney, Andrew A. Davidson, John D. Owens:
A Simple Algorithm for Maximal Poisson-Disk Sampling in High Dimensions. Comput. Graph. Forum 31(2pt4): 785-794 (2012) - [c6]Stanley Tzeng, Anjul Patney, Andrew A. Davidson, Mohamed S. Ebeida, Scott A. Mitchell, John D. Owens:
High-Quality Parallel Depth-of-Field Using Line Samples. High Performance Graphics 2012: 23-31 - 2011
- [j4]Mohamed S. Ebeida, Scott A. Mitchell, Andrew A. Davidson, Anjul Patney, Patrick M. Knupp, John D. Owens:
Efficient and good Delaunay meshes from random points. Comput. Aided Des. 43(11): 1506-1515 (2011) - [j3]Mohamed S. Ebeida, Andrew A. Davidson, Anjul Patney, Patrick M. Knupp, Scott A. Mitchell, John D. Owens:
Efficient maximal poisson-disk sampling. ACM Trans. Graph. 30(4): 49 (2011) - [c5]Stanley Tzeng, Anjul Patney, John D. Owens:
Efficient adaptive tiling for programmable rendering. SI3D 2011: 201 - 2010
- [j2]Anjul Patney, Stanley Tzeng, John D. Owens:
Fragment-Parallel Composite and Filter. Comput. Graph. Forum 29(4): 1251-1258 (2010) - [c4]Stanley Tzeng, Anjul Patney, John D. Owens:
Task management for irregular-parallel workloads on the GPU. High Performance Graphics 2010: 29-37
2000 – 2009
- 2009
- [c3]Anjul Patney, Mohamed S. Ebeida, John D. Owens:
Parallel view-dependent tessellation of Catmull-Clark subdivision surfaces. High Performance Graphics 2009: 99-108 - 2008
- [j1]Anjul Patney, John D. Owens:
Real-time Reyes-style adaptive surface subdivision. ACM Trans. Graph. 27(5): 143 (2008) - [c2]B. V. N. Silpa, Anjul Patney, Tushar Krishna, Preeti Ranjan Panda, G. S. Visweswaran:
Texture filter memory: a power-efficient and scalable texture memory architecture for mobile graphics processors. ICCAD 2008: 559-564 - [c1]Mark Silberstein, Assaf Schuster, Dan Geiger, Anjul Patney, John D. Owens:
Efficient computation of sum-products on GPUs through software-managed cache. ICS 2008: 309-318
Coauthor Index
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