Kayvon Fatahalian

According to our database, Kayvon Fatahalian authored at least 68 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Block and Detail: Scaffolding Sketch-to-Image Generation.

Vishnu Sarukkai, Lu Yuan, Mia Tang, Maneesh Agrawala, Kayvon Fatahalian

CoRR, 2024

Collage Diffusion.

Vishnu Sarukkai, Linden Li, Arden Ma, Christopher Ré, Kayvon Fatahalian

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Iterative Motion Editing with Natural Language.

Purvi Goel, Kuan-Chieh Wang, C. Karen Liu, Kayvon Fatahalian

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

Learning Subject-Aware Cropping by Outpainting Professional Photos.

James Hong, Lu Yuan, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning Physically Simulated Tennis Skills from Broadcast Videos.

Haotian Zhang, Ye Yuan, Viktor Makoviychuk, Yunrong Guo, Sanja Fidler, Xue Bin Peng, Kayvon Fatahalian

ACM Trans. Graph., August, 2023

An Extensible, Data-Oriented Architecture for High-Performance, Many-World Simulation.

Brennan Shacklett, Luc Guy Rosenzweig, Zhiqiang Xie, Bidipta Sarkar, Andrew Szot, Erik Wijmans, Vladlen Koltun, Dhruv Batra, Kayvon Fatahalian

ACM Trans. Graph., August, 2023

AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers.

Kalhan Koul, Jackson Melchert, Kavya Sreedhar, Leonard Truong, Gedeon Nyengele, Keyi Zhang, Qiaoyi Liu, Jeff Setter, Po-Han Chen, Yuchen Mei, Maxwell Strange, Ross Daly, Caleb Donovick, Alex Carsello, Taeyoung Kong, Kathleen Feng, Dillon Huff, Ankita Nayak, Rajsekhar Setaluri, James Thomas, Nikhil Bhagdikar, David Durst, Zachary Myers, Nestan Tsiskaridze, Stephen Richardson, Rick Bahr, Kayvon Fatahalian, Pat Hanrahan, Clark W. Barrett, Mark Horowitz, Christopher Torng, Fredrik Kjolstad, Priyanka Raina

ACM Trans. Embed. Comput. Syst., March, 2023

2022

R2E2: low-latency path tracing of terabyte-scale scenes using thousands of cloud CPUs.

Sadjad Fouladi, Brennan Shacklett, Fait Poms, Arjun Arora, Alex Ozdemir, Deepti Raghavan, Pat Hanrahan, Kayvon Fatahalian, Keith Winstein

ACM Trans. Graph., 2022

Shoring up the foundations: fusing model embeddings and weak supervision.

Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning.

Mayee F. Chen, Daniel Y. Fu, Avanika Narayan, Michael Zhang, Zhao Song, Kayvon Fatahalian, Christopher Ré

Proceedings of the International Conference on Machine Learning, 2022

Spotting Temporally Precise, Fine-Grained Events in Video.

James Hong, Haotian Zhang, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Vid2Player: Controllable Video Sprites That Behave and Appear Like Professional Tennis Players.

Haotian Zhang, Cristobal Sciutto, Maneesh Agrawala, Kayvon Fatahalian

ACM Trans. Graph., 2021

Iterative Text-Based Editing of Talking-Heads Using Neural Retargeting.

Xinwei Yao, Ohad Fried, Kayvon Fatahalian, Maneesh Agrawala

ACM Trans. Graph., 2021

Analysis of Faces in a Decade of US Cable TV News.

James Hong, Will Crichton, Haotian Zhang, Daniel Y. Fu, Jacob Ritchie, Jeremy Barenholtz, Ben Hannel, Xinwei Yao, Michaela Murray, Geraldine Moriba, Maneesh Agrawala, Kayvon Fatahalian

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Mandoline: Model Evaluation under Distribution Shift.

Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré

Proceedings of the 38th International Conference on Machine Learning, 2021

Large Batch Simulation for Deep Reinforcement Learning.

Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian

Proceedings of the 9th International Conference on Learning Representations, 2021

Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories.

Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit Sharad Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Rare Category Classifiers on a Tight Labeling Budget.

Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition.

James Hong, Matthew Fisher, Michaël Gharbi, Kayvon Fatahalian

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Background Splitting: Finding Rare Classes in a Sea of Background.

Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Analyzing Who and What Appears in a Decade of US Cable TV News.

James Hong, Will Crichton, Haotian Zhang, Daniel Y. Fu, Jacob Ritchie, Jeremy Barenholtz, Ben Hannel, Xinwei Yao, Michaela Murray, Geraldine Moriba, Maneesh Agrawala, Kayvon Fatahalian

CoRR, 2020

Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings.

Mayee F. Chen, Daniel Y. Fu, Frederic Sala, Sen Wu, Ravi Teja Mullapudi, Fait Poms, Kayvon Fatahalian, Christopher Ré

CoRR, 2020

Design Adjectives: A Framework for Interactive Model-Guided Exploration of Parameterized Design Spaces.

Evan Shimizu, Matthew Fisher, Sylvain Paris, James McCann, Kayvon Fatahalian

Proceedings of the UIST '20: The 33rd Annual ACM Symposium on User Interface Software and Technology, 2020

Type-directed scheduling of streaming accelerators.

David Durst, Matthew Feldman, Dillon Huff, David Akeley, Ross G. Daly, Gilbert Louis Bernstein, Marco Patrignani, Kayvon Fatahalian, Pat Hanrahan

Proceedings of the 41st ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2020

Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods.

Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré

Proceedings of the 37th International Conference on Machine Learning, 2020

Creating an Agile Hardware Design Flow.

Rick Bahr, Clark W. Barrett, Nikhil Bhagdikar, Alex Carsello, Ross Daly, Caleb Donovick, David Durst, Kayvon Fatahalian, Kathleen Feng, Pat Hanrahan, Teguh Hofstee, Mark Horowitz, Dillon Huff, Fredrik Kjolstad, Taeyoung Kong, Qiaoyi Liu, Makai Mann, Jackson Melchert, Ankita Nayak, Aina Niemetz, Gedeon Nyengele, Priyanka Raina, Stephen Richardson, Rajsekhar Setaluri, Jeff Setter, Kavya Sreedhar, Maxwell Strange, James Thomas, Christopher Torng, Leonard Truong, Nestan Tsiskaridze, Keyi Zhang

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

Learning to optimize halide with tree search and random programs.

Andrew Adams, Karima Ma, Luke Anderson, Riyadh Baghdadi, Tzu-Mao Li, Michaël Gharbi, Benoit Steiner, Steven Johnson, Kayvon Fatahalian, Frédo Durand, Jonathan Ragan-Kelley

ACM Trans. Graph., 2019

Rekall: Specifying Video Events using Compositions of Spatiotemporal Labels.

Daniel Y. Fu, Will Crichton, James Hong, Xinwei Yao, Haotian Zhang, Anh Truong, Avanika Narayan, Maneesh Agrawala, Christopher Ré, Kayvon Fatahalian

CoRR, 2019

Exploratory Stage Lighting Design using Visual Objectives.

Evan Shimizu, Sylvain Paris, Matthew Fisher, Ersin Yumer, Kayvon Fatahalian

Comput. Graph. Forum, 2019

Multi-Resolution Weak Supervision for Sequential Data.

Paroma Varma, Frederic Sala, Shiori Sagawa, Jason Alan Fries, Daniel Y. Fu, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Online Model Distillation for Efficient Video Inference.

Ravi Teja Mullapudi, Steven Chen, Keyi Zhang, Deva Ramanan, Kayvon Fatahalian

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Finding Layers Using Hover Visualizations.

Evan Shimizu, Matthew Fisher, Sylvain Paris, Kayvon Fatahalian

Proceedings of the 45th Graphics Interface Conference 2019, 2019

2018

Scanner: efficient video analysis at scale.

Alex Poms, Will Crichton, Pat Hanrahan, Kayvon Fatahalian

ACM Trans. Graph., 2018

Slang: language mechanisms for extensible real-time shading systems.

Yong He, Kayvon Fatahalian, Theresa Foley

ACM Trans. Graph., 2018

HydraNets: Specialized Dynamic Architectures for Efficient Inference.

Ravi Teja Mullapudi, William R. Mark, Noam Shazeer, Kayvon Fatahalian

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Shader components: modular and high performance shader development.

Yong He, Theresa Foley, Teguh Hofstee, Haomin Long, Kayvon Fatahalian

ACM Trans. Graph., 2017

2016

Aggregate G-Buffer Anti-Aliasing -Extended Version-.

Cyril Crassin, Morgan McGuire, Kayvon Fatahalian, Aaron E. Lefohn

IEEE Trans. Vis. Comput. Graph., 2016

A system for rapid exploration of shader optimization choices.

Yong He, Theresa Foley, Kayvon Fatahalian

ACM Trans. Graph., 2016

Automatically scheduling halide image processing pipelines.

Ravi Teja Mullapudi, Andrew Adams, Dillon Sharlet, Jonathan Ragan-Kelley, Kayvon Fatahalian

ACM Trans. Graph., 2016

The Rise of Mobile Visual Computing Systems.

Kayvon Fatahalian

IEEE Pervasive Comput., 2016

KrishnaCam: Using a longitudinal, single-person, egocentric dataset for scene understanding tasks.

Krishna Kumar Singh, Kayvon Fatahalian, Alexei A. Efros

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Automatically Splitting a Two-Stage Lambda Calculus.

Nicolas Feltman, Carlo Angiuli, Umut A. Acar, Kayvon Fatahalian

Proceedings of the Programming Languages and Systems, 2016

2015

A system for rapid, automatic shader level-of-detail.

Yong He, Theresa Foley, Natalya Tatarchuk, Kayvon Fatahalian

ACM Trans. Graph., 2015

Aggregate G-buffer anti-aliasing.

Cyril Crassin, Morgan McGuire, Kayvon Fatahalian, Aaron E. Lefohn

Proceedings of the 19th Symposium on Interactive 3D Graphics and Games, San Francisco, CA, USA, February 27, 2015

2014

Self-refining games using player analytics.

Matt Stanton, Ben Humberston, Brandon Kase, James F. O'Brien, Kayvon Fatahalian, Adrien Treuille

ACM Trans. Graph., 2014

Extending the graphics pipeline with adaptive, multi-rate shading.

Yong He, Yan Gu, Kayvon Fatahalian

ACM Trans. Graph., 2014

2013

Near-exhaustive precomputation of secondary cloth effects.

Doyub Kim, Woojong Koh, Rahul Narain, Kayvon Fatahalian, Adrien Treuille, James F. O'Brien

ACM Trans. Graph., 2013

Efficient BVH Construction via Approximate Agglomerative Clustering.

Yan Gu, Yong He, Kayvon Fatahalian, Guy E. Blelloch

Proceedings of the High-Performance Graphics 2013, 2013

2012

SRDH: Specializing BVH Construction and Traversal Order Using Representative Shadow Ray Sets.

Nicolas Feltman, Minjae Lee, Kayvon Fatahalian

Proceedings of the EUROGRAPHICS Conference on High Performance Graphics 2012, 2012

2011

Evolving the real-time graphics pipeline for micropolygon rendering.

Kayvon Fatahalian

PhD thesis, 2011

2010

Reducing shading on GPUs using quad-fragment merging.

Kayvon Fatahalian, Solomon Boulos, James Hegarty, Kurt Akeley, William R. Mark, Henry P. Moreton, Pat Hanrahan

ACM Trans. Graph., 2010

A lazy object-space shading architecture with decoupled sampling.

Christopher A. Burns, Kayvon Fatahalian, William R. Mark

Proceedings of the ACM SIGGRAPH/EUROGRAPHICS Conference on High Performance Graphics 2010, 2010

Hardware implementation of micropolygon rasterization with motion and defocus blur.

John S. Brunhaver, Kayvon Fatahalian, Pat Hanrahan

Proceedings of the ACM SIGGRAPH/EUROGRAPHICS Conference on High Performance Graphics 2010, 2010

Space-time hierarchical occlusion culling for micropolygon rendering with motion blur.

Solomon Boulos, Edward Luong, Kayvon Fatahalian, Henry P. Moreton, Pat Hanrahan

Proceedings of the ACM SIGGRAPH/EUROGRAPHICS Conference on High Performance Graphics 2010, 2010

2009

GRAMPS: A programming model for graphics pipelines.

Jeremy Sugerman, Kayvon Fatahalian, Solomon Boulos, Kurt Akeley, Pat Hanrahan

ACM Trans. Graph., 2009

DiagSplit: parallel, crack-free, adaptive tessellation for micropolygon rendering.

Matthew Fisher, Kayvon Fatahalian, Solomon Boulos, Kurt Akeley, William R. Mark, Pat Hanrahan

ACM Trans. Graph., 2009

Beyond programmable shading (parts I and II).

Aaron E. Lefohn, Mike Houston, Johan Andersson, Ulf Assarsson, Cass W. Everitt, Kayvon Fatahalian, Theresa Foley, Justin Hensley, Paul Lalonde, David Luebke

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2009

Data-parallel rasterization of micropolygons with defocus and motion blur.

Kayvon Fatahalian, Edward Luong, Solomon Boulos, Kurt Akeley, William R. Mark, Pat Hanrahan

Proceedings of the ACM SIGGRAPH/EUROGRAPHICS Conference on High Performance Graphics 2009, 2009

2008

GPUs: A Closer Look.

Kayvon Fatahalian, Mike Houston

ACM Queue, 2008

A closer look at GPUs.

Kayvon Fatahalian, Mike Houston

Commun. ACM, 2008

Beyond programmable shading: fundamentals.

Aaron E. Lefohn, Mike Houston, Chas Boyd, Kayvon Fatahalian, Tom Forsyth, David Luebke, John D. Owens

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2008

Overview: making sense of GPU architectures.

Kayvon Fatahalian

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2008

A portable runtime interface for multi-level memory hierarchies.

Mike Houston, Ji Young Park, Manman Ren, Timothy J. Knight, Kayvon Fatahalian, Alex Aiken, William J. Dally, Pat Hanrahan

Proceedings of the 13th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2008

2007

Compilation for explicitly managed memory hierarchies.

Timothy J. Knight, Ji Young Park, Manman Ren, Mike Houston, Mattan Erez, Kayvon Fatahalian, Alex Aiken, William J. Dally, Pat Hanrahan

Proceedings of the 12th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2007

2006

Sequoia: programming the memory hierarchy.

Kayvon Fatahalian, Daniel Reiter Horn, Timothy J. Knight, Larkhoon Leem, Mike Houston, Ji Young Park, Mattan Erez, Manman Ren, Alex Aiken, William J. Dally, Pat Hanrahan

Proceedings of the ACM/IEEE SC2006 Conference on High Performance Networking and Computing, 2006

2004

Brook for GPUs: stream computing on graphics hardware.

Ian Buck, Theresa Foley, Daniel Reiter Horn, Jeremy Sugerman, Kayvon Fatahalian, Mike Houston, Pat Hanrahan

ACM Trans. Graph., 2004

Understanding the efficiency of GPU algorithms for matrix-matrix multiplication.

Kayvon Fatahalian, Jeremy Sugerman, Pat Hanrahan

Proceedings of the ACM SIGGRAPH/EUROGRAPHICS Symposium on Graphics Hardware 2004, 2004

2003

Precomputing interactive dynamic deformable scenes.

Doug L. James, Kayvon Fatahalian

ACM Trans. Graph., 2003