Kayvon Fatahalian

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 59

Top Topics

Fine Grained Categorization

Spatio Temporally

Efficient Inference

Top Venues

ACM Trans. Graph.

Publications

Purvi Goel, Kuan-Chieh Wang, C. Karen Liu, Kayvon Fatahalian
Iterative Motion Editing with Natural Language. SIGGRAPH (Conference Paper Track) (2024)
James Hong, Lu Yuan, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian
Learning Subject-Aware Cropping by Outpainting Professional Photos. AAAI (2024)
Vishnu Sarukkai, Linden Li, Arden Ma, Christopher Ré, Kayvon Fatahalian
Collage Diffusion. WACV (2024)
Vishnu Sarukkai, Lu Yuan, Mia Tang, Maneesh Agrawala, Kayvon Fatahalian
Block and Detail: Scaffolding Sketch-to-Image Generation. CoRR (2024)
Purvi Goel, Kuan-Chieh Wang, C. Karen Liu, Kayvon Fatahalian
Iterative Motion Editing with Natural Language. CoRR (2023)
Vishnu Sarukkai, Linden Li, Arden Ma, Christopher Ré, Kayvon Fatahalian
Collage Diffusion. CoRR (2023)
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
AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers. ACM Trans. Embed. Comput. Syst. 22 (2) (2023)
Brennan Shacklett, Luc Guy Rosenzweig, Zhiqiang Xie, Bidipta Sarkar, Andrew Szot, Erik Wijmans, Vladlen Koltun, Dhruv Batra, Kayvon Fatahalian
An Extensible, Data-Oriented Architecture for High-Performance, Many-World Simulation. ACM Trans. Graph. 42 (4) (2023)
James Hong, Lu Yuan, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian
Learning Subject-Aware Cropping by Outpainting Professional Photos. CoRR (2023)
Haotian Zhang, Ye Yuan, Viktor Makoviychuk, Yunrong Guo, Sanja Fidler, Xue Bin Peng, Kayvon Fatahalian
Learning Physically Simulated Tennis Skills from Broadcast Videos. ACM Trans. Graph. 42 (4) (2023)
James Hong, Haotian Zhang, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian
Spotting Temporally Precise, Fine-Grained Events in Video. CoRR (2022)
Mayee F. Chen, Daniel Y. Fu, Avanika Narayan, Michael Zhang, Zhao Song, Kayvon Fatahalian, Christopher Ré
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning. ICML (2022)
Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré
Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision. CoRR (2022)
Mayee F. Chen, Daniel Y. Fu, Avanika Narayan, Michael Zhang, Zhao Song, Kayvon Fatahalian, Christopher Ré
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning. CoRR (2022)
Sadjad Fouladi, Brennan Shacklett, Fait Poms, Arjun Arora, Alex Ozdemir, Deepti Raghavan, Pat Hanrahan, Kayvon Fatahalian, Keith Winstein
R2E2: low-latency path tracing of terabyte-scale scenes using thousands of cloud CPUs. ACM Trans. Graph. 41 (4) (2022)
James Hong, Haotian Zhang, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian
Spotting Temporally Precise, Fine-Grained Events in Video. ECCV (35) (2022)
Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré
Shoring up the foundations: fusing model embeddings and weak supervision. UAI (2022)
Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian
Large Batch Simulation for Deep Reinforcement Learning. CoRR (2021)
Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré
Mandoline: Model Evaluation under Distribution Shift. ICML (2021)
James Hong, Matthew Fisher, Michaël Gharbi, Kayvon Fatahalian
Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition. ICCV (2021)
Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit Sharad Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian
Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories. ICCV (2021)
Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré
Mandoline: Model Evaluation under Distribution Shift. CoRR (2021)
Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian
Learning Rare Category Classifiers on a Tight Labeling Budget. ICCV (2021)
James Hong, Matthew Fisher, Michaël Gharbi, Kayvon Fatahalian
Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition. CoRR (2021)
Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit Sharad Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian
Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories. CoRR (2021)
Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian
Large Batch Simulation for Deep Reinforcement Learning. ICLR (2021)
Haotian Zhang, Cristobal Sciutto, Maneesh Agrawala, Kayvon Fatahalian
Vid2Player: Controllable Video Sprites That Behave and Appear Like Professional Tennis Players. ACM Trans. Graph. 40 (3) (2021)
Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian
Background Splitting: Finding Rare Classes in a Sea of Background. CVPR (2021)
Xinwei Yao, Ohad Fried, Kayvon Fatahalian, Maneesh Agrawala
Iterative Text-Based Editing of Talking-Heads Using Neural Retargeting. ACM Trans. Graph. 40 (3) (2021)
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
Analysis of Faces in a Decade of US Cable TV News. KDD (2021)
Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. CoRR (2020)
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 J. Thomas, Christopher Torng, Leonard Truong, Nestan Tsiskaridze, Keyi Zhang
Creating an Agile Hardware Design Flow. DAC (2020)
Mayee F. Chen, Daniel Y. Fu, Frederic Sala, Sen Wu, Ravi Teja Mullapudi, Fait Poms, Kayvon Fatahalian, Christopher Ré
Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings. CoRR (2020)
Xinwei Yao, Ohad Fried, Kayvon Fatahalian, Maneesh Agrawala
Iterative Text-based Editing of Talking-heads Using Neural Retargeting. CoRR (2020)
Evan Shimizu, Matthew Fisher, Sylvain Paris, James McCann, Kayvon Fatahalian
Design Adjectives: A Framework for Interactive Model-Guided Exploration of Parameterized Design Spaces. UIST (2020)
Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. ICML (2020)
David Durst, Matthew Feldman, Dillon Huff, David Akeley, Ross G. Daly, Gilbert Louis Bernstein, Marco Patrignani, Kayvon Fatahalian, Pat Hanrahan
Type-directed scheduling of streaming accelerators. PLDI (2020)
Haotian Zhang, Cristobal Sciutto, Maneesh Agrawala, Kayvon Fatahalian
Vid2Player: Controllable Video Sprites that Behave and Appear like Professional Tennis Players. CoRR (2020)
Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian
Background Splitting: Finding Rare Classes in a Sea of Background. CoRR (2020)
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
Analyzing Who and What Appears in a Decade of US Cable TV News. CoRR (2020)
Ravi Teja Mullapudi, Steven Chen, Keyi Zhang, Deva Ramanan, Kayvon Fatahalian
Online Model Distillation for Efficient Video Inference. ICCV (2019)
Paroma Varma, Frederic Sala, Shiori Sagawa, Jason Alan Fries, Daniel Y. Fu, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré
Multi-Resolution Weak Supervision for Sequential Data. NeurIPS (2019)
Frederic Sala, Paroma Varma, Jason A. Fries, Daniel Y. Fu, Shiori Sagawa, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré
Multi-Resolution Weak Supervision for Sequential Data. CoRR (2019)
Daniel Y. Fu, Will Crichton, James Hong, Xinwei Yao, Haotian Zhang, Anh Truong, Avanika Narayan, Maneesh Agrawala, Christopher Ré, Kayvon Fatahalian
Rekall: Specifying Video Events using Compositions of Spatiotemporal Labels. CoRR (2019)
Evan Shimizu, Matt Fisher, Sylvain Paris, Kayvon Fatahalian
Finding Layers Using Hover Visualizations. Graphics Interface (2019)
Evan Shimizu, Sylvain Paris, Matt Fisher, Ersin Yumer, Kayvon Fatahalian
Exploratory Stage Lighting Design using Visual Objectives. Comput. Graph. Forum 38 (2) (2019)
Andrew Adams, Karima Ma, Luke Anderson, Riyadh Baghdadi, Tzu-Mao Li, Michaël Gharbi, Benoit Steiner, Steven Johnson, Kayvon Fatahalian, Frédo Durand, Jonathan Ragan-Kelley
Learning to optimize halide with tree search and random programs. ACM Trans. Graph. 38 (4) (2019)
Alex Poms, Will Crichton, Pat Hanrahan, Kayvon Fatahalian
Scanner: Efficient Video Analysis at Scale. CoRR (2018)
Ravi Teja Mullapudi, William R. Mark, Noam Shazeer, Kayvon Fatahalian
HydraNets: Specialized Dynamic Architectures for Efficient Inference. CVPR (2018)
Alex Poms, Will Crichton, Pat Hanrahan, Kayvon Fatahalian
Scanner: efficient video analysis at scale. ACM Trans. Graph. 37 (4) (2018)
Yong He, Kayvon Fatahalian, Theresa Foley
Slang: language mechanisms for extensible real-time shading systems. ACM Trans. Graph. 37 (4) (2018)
Ravi Teja Mullapudi, Steven Chen, Keyi Zhang, Deva Ramanan, Kayvon Fatahalian
Online Model Distillation for Efficient Video Inference. CoRR (2018)
Yong He, Theresa Foley, Teguh Hofstee, Haomin Long, Kayvon Fatahalian
Shader components: modular and high performance shader development. ACM Trans. Graph. 36 (4) (2017)
Cyril Crassin, Morgan McGuire, Kayvon Fatahalian, Aaron E. Lefohn
Aggregate G-Buffer Anti-Aliasing -Extended Version-. IEEE Trans. Vis. Comput. Graph. 22 (10) (2016)
Nicolas Feltman, Carlo Angiuli, Umut A. Acar, Kayvon Fatahalian
Automatically Splitting a Two-Stage Lambda Calculus. ESOP (2016)
Kayvon Fatahalian
The Rise of Mobile Visual Computing Systems. IEEE Pervasive Comput. 15 (2) (2016)
Yong He, Theresa Foley, Kayvon Fatahalian
A system for rapid exploration of shader optimization choices. ACM Trans. Graph. 35 (4) (2016)
Ravi Teja Mullapudi, Andrew Adams, Dillon Sharlet, Jonathan Ragan-Kelley, Kayvon Fatahalian
Automatically scheduling halide image processing pipelines. ACM Trans. Graph. 35 (4) (2016)
Krishna Kumar Singh, Kayvon Fatahalian, Alexei A. Efros
KrishnaCam: Using a longitudinal, single-person, egocentric dataset for scene understanding tasks. WACV (2016)
Cyril Crassin, Morgan McGuire, Kayvon Fatahalian, Aaron E. Lefohn
Aggregate G-buffer anti-aliasing. I3D (2015)
Yong He, Theresa Foley, Natalya Tatarchuk, Kayvon Fatahalian
A system for rapid, automatic shader level-of-detail. ACM Trans. Graph. 34 (6) (2015)
Yong He, Yan Gu, Kayvon Fatahalian
Extending the graphics pipeline with adaptive, multi-rate shading. ACM Trans. Graph. 33 (4) (2014)
Matt Stanton, Ben Humberston, Brandon Kase, James F. O'Brien, Kayvon Fatahalian, Adrien Treuille
Self-refining games using player analytics. ACM Trans. Graph. 33 (4) (2014)
Yan Gu, Yong He, Kayvon Fatahalian, Guy E. Blelloch
Efficient BVH Construction via Approximate Agglomerative Clustering. High Performance Graphics (2013)
Doyub Kim, Woojong Koh, Rahul Narain, Kayvon Fatahalian, Adrien Treuille, James F. O'Brien
Near-exhaustive precomputation of secondary cloth effects. ACM Trans. Graph. 32 (4) (2013)
Nicolas Feltman, Minjae Lee, Kayvon Fatahalian
SRDH: Specializing BVH Construction and Traversal Order Using Representative Shadow Ray Sets. High Performance Graphics (2012)
Christopher A. Burns, Kayvon Fatahalian, William R. Mark
A lazy object-space shading architecture with decoupled sampling. High Performance Graphics (2010)
J. S. Brunhaver, Kayvon Fatahalian, Pat Hanrahan
Hardware implementation of micropolygon rasterization with motion and defocus blur. High Performance Graphics (2010)
Solomon Boulos, Edward Luong, Kayvon Fatahalian, Henry P. Moreton, Pat Hanrahan
Space-time hierarchical occlusion culling for micropolygon rendering with motion blur. High Performance Graphics (2010)
Kayvon Fatahalian, Solomon Boulos, James Hegarty, Kurt Akeley, William R. Mark, Henry P. Moreton, Pat Hanrahan
Reducing shading on GPUs using quad-fragment merging. ACM Trans. Graph. 29 (4) (2010)
Matthew Fisher, Kayvon Fatahalian, Solomon Boulos, Kurt Akeley, William R. Mark, Pat Hanrahan
DiagSplit: parallel, crack-free, adaptive tessellation for micropolygon rendering. ACM Trans. Graph. 28 (5) (2009)
Kayvon Fatahalian, Edward Luong, Solomon Boulos, Kurt Akeley, William R. Mark, Pat Hanrahan
Data-parallel rasterization of micropolygons with defocus and motion blur. High Performance Graphics (2009)
Jeremy Sugerman, Kayvon Fatahalian, Solomon Boulos, Kurt Akeley, Pat Hanrahan
GRAMPS: A programming model for graphics pipelines. ACM Trans. Graph. 28 (1) (2009)
Aaron E. Lefohn, Mike Houston, Johan Andersson, Ulf Assarsson, Cass W. Everitt, Kayvon Fatahalian, Theresa Foley, Justin Hensley, Paul Lalonde, David Luebke
Beyond programmable shading (parts I and II). SIGGRAPH Courses (2009)
Kayvon Fatahalian, Mike Houston
GPUs a closer look. SIGGRAPH Classes (2008)
Kayvon Fatahalian
Overview: making sense of GPU architectures. SIGGRAPH Classes (2008)
Kayvon Fatahalian, Mike Houston
GPUs: A Closer Look. ACM Queue 6 (2) (2008)
Aaron E. Lefohn, Mike Houston, Chas Boyd, Kayvon Fatahalian, Tom Forsyth, David Luebke, John D. Owens
Beyond programmable shading: fundamentals. SIGGRAPH Classes (2008)
Kayvon Fatahalian, Mike Houston
A closer look at GPUs. Commun. ACM 51 (10) (2008)
Mike Houston, Ji Young Park, Manman Ren, Timothy J. Knight, Kayvon Fatahalian, Alex Aiken, William J. Dally, Pat Hanrahan
A portable runtime interface for multi-level memory hierarchies. PPOPP (2008)
Timothy J. Knight, Ji Young Park, Manman Ren, Mike Houston, Mattan Erez, Kayvon Fatahalian, Alex Aiken, William J. Dally, Pat Hanrahan
Compilation for explicitly managed memory hierarchies. PPOPP (2007)
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
Sequoia: programming the memory hierarchy. SC (2006)
Kayvon Fatahalian, Jeremy Sugerman, Pat Hanrahan
Understanding the efficiency of GPU algorithms for matrix-matrix multiplication. Graphics Hardware (2004)
Ian Buck, Theresa Foley, Daniel Reiter Horn, Jeremy Sugerman, Kayvon Fatahalian, Mike Houston, Pat Hanrahan
Brook for GPUs: stream computing on graphics hardware. ACM Trans. Graph. 23 (3) (2004)
Doug L. James, Kayvon Fatahalian
Precomputing interactive dynamic deformable scenes. ACM Trans. Graph. 22 (3) (2003)