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Kayvon Fatahalian
Person information
- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2024
- [c38]James Hong, Lu Yuan, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian:
Learning Subject-Aware Cropping by Outpainting Professional Photos. AAAI 2024: 2175-2183 - [c37]Purvi Goel
, Kuan-Chieh Wang
, C. Karen Liu
, Kayvon Fatahalian
:
Iterative Motion Editing with Natural Language. SIGGRAPH (Conference Paper Track) 2024: 71 - [c36]Vishnu Sarukkai, Linden Li, Arden Ma, Christopher Ré, Kayvon Fatahalian:
Collage Diffusion. WACV 2024: 4196-4205 - [i21]Vishnu Sarukkai, Lu Yuan, Mia Tang, Maneesh Agrawala, Kayvon Fatahalian:
Block and Detail: Scaffolding Sketch-to-Image Generation. CoRR abs/2402.18116 (2024) - 2023
- [j26]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): 35:1-35:34 (2023) - [j25]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): 90:1-90:13 (2023) - [j24]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): 95:1-95:14 (2023) - [i20]Vishnu Sarukkai, Linden Li, Arden Ma, Christopher Ré, Kayvon Fatahalian:
Collage Diffusion. CoRR abs/2303.00262 (2023) - [i19]Purvi Goel, Kuan-Chieh Wang, C. Karen Liu, Kayvon Fatahalian:
Iterative Motion Editing with Natural Language. CoRR abs/2312.11538 (2023) - [i18]James Hong, Lu Yuan, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian:
Learning Subject-Aware Cropping by Outpainting Professional Photos. CoRR abs/2312.12080 (2023) - 2022
- [j23]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): 76:1-76:12 (2022) - [c35]James Hong, Haotian Zhang, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian:
Spotting Temporally Precise, Fine-Grained Events in Video. ECCV (35) 2022: 33-51 - [c34]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: 3090-3122 - [c33]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: 357-367 - [i17]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 abs/2203.13270 (2022) - [i16]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 abs/2204.07596 (2022) - [i15]James Hong, Haotian Zhang, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian:
Spotting Temporally Precise, Fine-Grained Events in Video. CoRR abs/2207.10213 (2022) - 2021
- [j22]Xinwei Yao
, Ohad Fried
, Kayvon Fatahalian, Maneesh Agrawala
:
Iterative Text-Based Editing of Talking-Heads Using Neural Retargeting. ACM Trans. Graph. 40(3): 20:1-20:14 (2021) - [j21]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): 24:1-24:16 (2021) - [c32]Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan
, Kayvon Fatahalian:
Background Splitting: Finding Rare Classes in a Sea of Background. CVPR 2021: 8043-8052 - [c31]Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan
, Kayvon Fatahalian:
Learning Rare Category Classifiers on a Tight Labeling Budget. ICCV 2021: 8403-8412 - [c30]James Hong, Matthew Fisher, Michaël Gharbi, Kayvon Fatahalian:
Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition. ICCV 2021: 9234-9243 - [c29]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: 10685-10694 - [c28]Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian:
Large Batch Simulation for Deep Reinforcement Learning. ICLR 2021 - [c27]Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré:
Mandoline: Model Evaluation under Distribution Shift. ICML 2021: 1617-1629 - [c26]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: 3011-3021 - [i14]Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian:
Large Batch Simulation for Deep Reinforcement Learning. CoRR abs/2103.07013 (2021) - [i13]Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré:
Mandoline: Model Evaluation under Distribution Shift. CoRR abs/2107.00643 (2021) - [i12]James Hong, Matthew Fisher, Michaël Gharbi, Kayvon Fatahalian:
Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition. CoRR abs/2109.01305 (2021) - [i11]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 abs/2109.05720 (2021) - 2020
- [c25]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:
Creating an Agile Hardware Design Flow. DAC 2020: 1-6 - [c24]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: 3280-3291 - [c23]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: 408-422 - [c22]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: 261-278 - [i10]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 abs/2002.11955 (2020) - [i9]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 abs/2006.15168 (2020) - [i8]Haotian Zhang, Cristobal Sciutto, Maneesh Agrawala, Kayvon Fatahalian:
Vid2Player: Controllable Video Sprites that Behave and Appear like Professional Tennis Players. CoRR abs/2008.04524 (2020) - [i7]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 abs/2008.06007 (2020) - [i6]Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian:
Background Splitting: Finding Rare Classes in a Sea of Background. CoRR abs/2008.12873 (2020) - [i5]Xinwei Yao, Ohad Fried, Kayvon Fatahalian, Maneesh Agrawala:
Iterative Text-based Editing of Talking-heads Using Neural Retargeting. CoRR abs/2011.10688 (2020)
2010 – 2019
- 2019
- [j20]Evan Shimizu, Sylvain Paris, Matthew Fisher, Ersin Yumer, Kayvon Fatahalian:
Exploratory Stage Lighting Design using Visual Objectives. Comput. Graph. Forum 38(2): 417-429 (2019) - [j19]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): 121:1-121:12 (2019) - [c21]Evan Shimizu, Matthew Fisher, Sylvain Paris, Kayvon Fatahalian:
Finding Layers Using Hover Visualizations. Graphics Interface 2019: 16:1-16:9 - [c20]Ravi Teja Mullapudi, Steven Chen, Keyi Zhang, Deva Ramanan
, Kayvon Fatahalian:
Online Model Distillation for Efficient Video Inference. ICCV 2019: 3572-3581 - [c19]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: 192-203 - [i4]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 abs/1910.02993 (2019) - [i3]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 abs/1910.09505 (2019) - 2018
- [j18]Alex Poms, Will Crichton
, Pat Hanrahan, Kayvon Fatahalian:
Scanner: efficient video analysis at scale. ACM Trans. Graph. 37(4): 138 (2018) - [j17]Yong He, Kayvon Fatahalian, Theresa Foley:
Slang: language mechanisms for extensible real-time shading systems. ACM Trans. Graph. 37(4): 141 (2018) - [c18]Ravi Teja Mullapudi, William R. Mark, Noam Shazeer, Kayvon Fatahalian:
HydraNets: Specialized Dynamic Architectures for Efficient Inference. CVPR 2018: 8080-8089 - [i2]Alex Poms, Will Crichton, Pat Hanrahan, Kayvon Fatahalian:
Scanner: Efficient Video Analysis at Scale. CoRR abs/1805.07339 (2018) - [i1]Ravi Teja Mullapudi, Steven Chen, Keyi Zhang, Deva Ramanan, Kayvon Fatahalian:
Online Model Distillation for Efficient Video Inference. CoRR abs/1812.02699 (2018) - 2017
- [j16]Yong He, Theresa Foley, Teguh Hofstee
, Haomin Long, Kayvon Fatahalian:
Shader components: modular and high performance shader development. ACM Trans. Graph. 36(4): 100:1-100:11 (2017) - 2016
- [j15]Kayvon Fatahalian:
The Rise of Mobile Visual Computing Systems. IEEE Pervasive Comput. 15(2): 8-13 (2016) - [j14]Ravi Teja Mullapudi, Andrew Adams, Dillon Sharlet, Jonathan Ragan-Kelley, Kayvon Fatahalian:
Automatically scheduling halide image processing pipelines. ACM Trans. Graph. 35(4): 83:1-83:11 (2016) - [j13]Yong He, Theresa Foley, Kayvon Fatahalian:
A system for rapid exploration of shader optimization choices. ACM Trans. Graph. 35(4): 112:1-112:12 (2016) - [j12]Cyril Crassin, Morgan McGuire, Kayvon Fatahalian, Aaron E. Lefohn:
Aggregate G-Buffer Anti-Aliasing -Extended Version-. IEEE Trans. Vis. Comput. Graph. 22(10): 2215-2228 (2016) - [c17]Nicolas Feltman, Carlo Angiuli
, Umut A. Acar, Kayvon Fatahalian:
Automatically Splitting a Two-Stage Lambda Calculus. ESOP 2016: 255-281 - [c16]Krishna Kumar Singh, Kayvon Fatahalian, Alexei A. Efros:
KrishnaCam: Using a longitudinal, single-person, egocentric dataset for scene understanding tasks. WACV 2016: 1-9 - 2015
- [j11]Yong He, Theresa Foley, Natalya Tatarchuk, Kayvon Fatahalian:
A system for rapid, automatic shader level-of-detail. ACM Trans. Graph. 34(6): 187:1-187:12 (2015) - [c15]Cyril Crassin, Morgan McGuire, Kayvon Fatahalian, Aaron E. Lefohn:
Aggregate G-buffer anti-aliasing. I3D 2015: 109-119 - [e2]Michael C. Doggett, Steven E. Molnar, Kayvon Fatahalian, Jacob Munkberg, Elmar Eisemann, Petrik Clarberg, Stephen N. Spencer:
Proceedings of the 7th Conference on High-Performance Graphics, HPG 2015, Los Angeles, California, USA, August 7-9, 2015. ACM 2015, ISBN 978-1-4503-3707-6 [contents] - 2014
- [j10]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): 73:1-73:9 (2014) - [j9]Yong He, Yan Gu
, Kayvon Fatahalian:
Extending the graphics pipeline with adaptive, multi-rate shading. ACM Trans. Graph. 33(4): 142:1-142:12 (2014) - 2013
- [j8]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): 87:1-87:8 (2013) - [c14]Yan Gu
, Yong He, Kayvon Fatahalian, Guy E. Blelloch:
Efficient BVH Construction via Approximate Agglomerative Clustering. High Performance Graphics 2013: 81-88 - [e1]Kayvon Fatahalian, Christian Theobalt
, Jaakko Lehtinen:
High-Performance Graphics 2013, Anaheim, California, USA, July 19-21, 2013. Proceedings. ACM 2013, ISBN 978-1-4503-2135-8 [contents] - 2012
- [c13]Nicolas Feltman, Minjae Lee, Kayvon Fatahalian:
SRDH: Specializing BVH Construction and Traversal Order Using Representative Shadow Ray Sets. High Performance Graphics 2012: 49-55 - 2011
- [b1]Kayvon Fatahalian:
Evolving the real-time graphics pipeline for micropolygon rendering. Stanford University, USA, 2011 - 2010
- [j7]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): 67:1-67:8 (2010) - [c12]John S. Brunhaver, Kayvon Fatahalian, Pat Hanrahan:
Hardware implementation of micropolygon rasterization with motion and defocus blur. High Performance Graphics 2010: 1-9 - [c11]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: 11-18 - [c10]Christopher A. Burns, Kayvon Fatahalian, William R. Mark:
A lazy object-space shading architecture with decoupled sampling. High Performance Graphics 2010: 19-28
2000 – 2009
- 2009
- [j6]Jeremy Sugerman, Kayvon Fatahalian, Solomon Boulos, Kurt Akeley, Pat Hanrahan:
GRAMPS: A programming model for graphics pipelines. ACM Trans. Graph. 28(1): 4:1-4:11 (2009) - [j5]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): 150 (2009) - [c9]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: 59-68 - [c8]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: 7:1-7:312 - 2008
- [j4]Kayvon Fatahalian, Mike Houston:
A closer look at GPUs. Commun. ACM 51(10): 50-57 (2008) - [j3]Kayvon Fatahalian, Mike Houston:
GPUs: A Closer Look. ACM Queue 6(2): 18-28 (2008) - [c7]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: 143-152 - [c6]Aaron E. Lefohn, Mike Houston, Chas Boyd, Kayvon Fatahalian, Tom Forsyth, David Luebke, John D. Owens:
Beyond programmable shading: fundamentals. SIGGRAPH Classes 2008: 9:1-9:21 - [c5]Kayvon Fatahalian:
Overview: making sense of GPU architectures. SIGGRAPH Classes 2008: 10:1-10:13 - [c4]Kayvon Fatahalian, Mike Houston:
GPUs a closer look. SIGGRAPH Classes 2008: 11:1-11:11 - 2007
- [c3]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: 226-236 - 2006
- [c2]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: 83 - 2004
- [j2]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): 777-786 (2004) - [c1]Kayvon Fatahalian, Jeremy Sugerman, Pat Hanrahan:
Understanding the efficiency of GPU algorithms for matrix-matrix multiplication. Graphics Hardware 2004: 133-137 - 2003
- [j1]Doug L. James
, Kayvon Fatahalian:
Precomputing interactive dynamic deformable scenes. ACM Trans. Graph. 22(3): 879-887 (2003)
Coauthor Index
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