Texture filter memory: a power-efficient and scalable texture memory architecture for mobile graphics processors. - B. V. N. Silpa; Anjul Patney; Tushar Krishna; Preeti Ranjan Panda; G. S. Visweswaran (ICCAD, 2008)

Efficient computation of sum-products on GPUs through software-managed cache. - Mark Silberstein; Assaf Schuster; Dan Geiger; Anjul Patney; John D. Owens (ICS, 2008)

Real-time Reyes-style adaptive surface subdivision. - Anjul Patney; John D. Owens (ACM Trans. Graph., 2008)

Parallel view-dependent tessellation of Catmull-Clark subdivision surfaces. - Anjul Patney; Mohamed S. Ebeida; John D. Owens (High Performance Graphics, 2009)

Task management for irregular-parallel workloads on the GPU. - Stanley Tzeng; Anjul Patney; John D. Owens (High Performance Graphics, 2010)

Fragment-Parallel Composite and Filter. - Anjul Patney; Stanley Tzeng; John D. Owens (Comput. Graph. Forum, 2010)

Efficient adaptive tiling for programmable rendering. - Stanley Tzeng; Anjul Patney; John D. Owens (SI3D, 2011)

Efficient and good Delaunay meshes from random points. - Mohamed S. Ebeida; Scott A. Mitchell; Andrew A. Davidson; Anjul Patney; Patrick M. Knupp; John D. Owens (Comput. Aided Des., 2011)

Efficient maximal poisson-disk sampling. - Mohamed S. Ebeida; Andrew A. Davidson; Anjul Patney; Patrick M. Knupp; Scott A. Mitchell; John D. Owens (ACM Trans. Graph., 2011)

High-Quality Parallel Depth-of-Field Using Line Samples. - Stanley Tzeng; Anjul Patney; Andrew A. Davidson; Mohamed S. Ebeida; Scott A. Mitchell; John D. Owens (High Performance Graphics, 2012)

A Simple Algorithm for Maximal Poisson-Disk Sampling in High Dimensions. - Mohamed S. Ebeida; Scott A. Mitchell; Anjul Patney; Andrew A. Davidson; John D. Owens (Comput. Graph. Forum, 2012)

k-d Darts: Sampling by k-Dimensional Flat Searches - Mohamed S. Ebeida; Anjul Patney; Scott A. Mitchell; Keith R. Dalbey; Andrew A. Davidson; John D. Owens (CoRR, 2013)

Piko: A Design Framework for Programmable Graphics Pipelines. - Anjul Patney; Stanley Tzeng; Kerry A. Seitz Jr.; John D. Owens (CoRR, 2014)

k-d Darts: Sampling by k-dimensional flat searches. - Mohamed S. Ebeida; Anjul Patney; Scott A. Mitchell; Keith R. Dalbey; Andrew A. Davidson; John D. Owens (ACM Trans. Graph., 2014)

Exercises in High-Dimensional Sampling: Maximal Poisson-Disk Sampling and k-d Darts. - Mohamed S. Ebeida; Scott A. Mitchell; Anjul Patney; Andrew A. Davidson; Stanley Tzeng; Muhammad A. Awad; Ahmed H. Mahmoud; John D. Owens (Topological and Statistical Methods for Complex Data, Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces, 2015)

Piko: a framework for authoring programmable graphics pipelines. - Anjul Patney; Stanley Tzeng; Kerry A. Seitz Jr.; John D. Owens (ACM Trans. Graph., 2015)

Filtering distributions of normals for shading antialiasing. - Anton S. Kaplanyan; Stephan Hill; Anjul Patney; Aaron E. Lefohn (High Performance Graphics, 2016)

Perceptually-based foveated virtual reality. - Anjul Patney; Joohwan Kim; Marco Salvi; Anton Kaplanyan; Chris Wyman; Nir Benty; Aaron E. Lefohn; David Luebke (SIGGRAPH Emerging Technologies, 2016)

Towards foveated rendering for gaze-tracked virtual reality. - Anjul Patney; Marco Salvi; Joohwan Kim; Anton Kaplanyan; Chris Wyman; Nir Benty; David Luebke; Aaron E. Lefohn (ACM Trans. Graph., 2016)

Spatiotemporal variance-guided filtering: real-time reconstruction for path-traced global illumination. - Christoph Schied; Anton Kaplanyan; Chris Wyman; Anjul Patney; Chakravarty R. Alla Chaitanya; John Burgess; Shiqiu Liu; Carsten Dachsbacher; Aaron E. Lefohn; Marco Salvi (High Performance Graphics, 2017)

Varifocal virtuality: a novel optical layout for near-eye display. - 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 (SIGGRAPH Emerging Technologies, 2017)

Applications of visual perception to virtual reality rendering. - Anjul Patney; Marina Zannoli; George Alex Koulieris; Joohwan Kim; Gordon Wetzstein; Frank Steinicke (SIGGRAPH Courses, 2017)

Latency Requirements for Foveated Rendering in Virtual Reality. - Rachel A. Albert; Anjul Patney; David Luebke; Joohwan Kim (ACM Trans. Appl. Percept., 2017)

Detecting aliasing artifacts in image sequences using deep neural networks. - Anjul Patney; Aaron E. Lefohn (High Performance Graphics, 2018)

Applications of vision science to virtual and augmented reality. - Anjul Patney; Marina Zannoli; Joohwan Kim; Robert Konrad 001; Frank Steinicke; Martin S. Banks (SIGGRAPH Courses, 2018)

Spoke-Darts for High-Dimensional Blue-Noise Sampling. - Scott A. Mitchell; Mohamed S. Ebeida; Muhammad A. Awad; Chonhyon Park; Anjul Patney; Ahmad A. Rushdi; Laura P. Swiler; Dinesh Manocha; Li-Yi Wei (ACM Trans. Graph., 2018)

Towards virtual reality infinite walking: dynamic saccadic redirection. - Qi Sun 003; Anjul Patney; Li-Yi Wei; Omer Shapira; Jingwan Lu; Paul Asente; Suwen Zhu; Morgan McGuire; David Luebke; Arie E. Kaufman (ACM Trans. Graph., 2018)

Semi-Supervised StyleGAN for Disentanglement Learning. - Weili Nie; Tero Karras; Animesh Garg; Shoubhik Debnath; Anjul Patney; Ankit B. Patel; Animashree Anandkumar (ICML, 2020)

Neural Temporal Adaptive Sampling and Denoising. - Jon Hasselgren; Jacob Munkberg; Marco Salvi; Anjul Patney; Aaron E. Lefohn (Comput. Graph. Forum, 2020)

Redirected Walking in VR. - Qi Sun 003; Anjul Patney; Frank Steinicke (Real VR, 2020)

State of the Art in Perceptual VR Displays. - Gordon Wetzstein; Anjul Patney; Qi Sun 003 (Real VR, 2020)

A Foveated Video Quality Assessment Model Using Space-Variant Natural Scene Statistics. - Y. Jin; Todd Goodall; Anjul Patney; R. Webb; Alan C. Bovik (ICIP, 2021)

MOVI-Codec: Deep Video Compression without Motion. - Meixu Chen; Anjul Patney; Alan C. Bovik (PCS, 2021)

Evaluating Foveated Video Quality Using Entropic Differencing. - Yize Jin; Anjul Patney; Alan C. Bovik (PCS, 2021)

Subjective and Objective Quality Assessment of 2D and 3D Foveated Video Compression in Virtual Reality. - Yize Jin; Meixu Chen; Todd Goodall; Anjul Patney; Alan C. Bovik (IEEE Trans. Image Process., 2021)

FovVideoVDP: a visible difference predictor for wide field-of-view video. - Rafal K. Mantiuk; Gyorgy Denes; Alexandre Chapiro; Anton Kaplanyan; Gizem Rufo; Romain Bachy; Trisha Lian; Anjul Patney (ACM Trans. Graph., 2021)

Learning to compress videos without computing motion. - Meixu Chen; Todd Goodall; Anjul Patney; Alan C. Bovik (Signal Process. Image Commun., 2022)

FOVQA: Blind Foveated Video Quality Assessment. - Yize Jin; Anjul Patney; Richard Webb; Alan C. Bovik (IEEE Trans. Image Process., 2022)

Image features influence reaction time: a learned probabilistic perceptual model for saccade latency. - Budmonde Duinkharjav; Praneeth Chakravarthula; Rachel Brown; Anjul Patney; Qi Sun 003 (ACM Trans. Graph., 2022)

Power, Performance, and Image Quality Tradeoffs in Foveated Rendering. - Rahul Singh; Muhammad Huzaifa; Jeffrey Liu; Anjul Patney; Hashim Sharif; Yifan Zhao 004; Sarita V. Adve (VR, 2023)

Online Overexposed Pixels Hallucination in Videos with Adaptive Reference Frame Selection. - Yazhou Xing; Amrita Mazumdar; Anjul Patney; Chao Liu 064; Hongxu Yin; Qifeng Chen; Jan Kautz; Iuri Frosio (CoRR, 2023)

The Shortest Route is Not Always the Fastest: Probability-Modeled Stereoscopic Eye Movement Completion Time in VR. - Budmonde Duinkharjav; Benjamin Liang; Anjul Patney; Rachel Brown; Qi Sun 003 (ACM Trans. Graph., 2023)