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Kayvon Fatahalian
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- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2024
- [c39]James Hong, Lu Yuan, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian:
Learning Subject-Aware Cropping by Outpainting Professional Photos. AAAI 2024: 2175-2183 - [c38]Purvi Goel, Kuan-Chieh Wang, C. Karen Liu, Kayvon Fatahalian:
Iterative Motion Editing with Natural Language. SIGGRAPH (Conference Paper Track) 2024: 71 - [c37]Vishnu Sarukkai, Lu Yuan, Mia Tang, Maneesh Agrawala, Kayvon Fatahalian:
Block and Detail: Scaffolding Sketch-to-Image Generation. UIST 2024: 33:1-33:13 - [c36]Vishnu Sarukkai, Linden Li, Arden Ma, Christopher Ré, Kayvon Fatahalian:
Collage Diffusion. WACV 2024: 4196-4205 - [i22]Vishnu Sarukkai, Lu Yuan, Mia Tang, Maneesh Agrawala, Kayvon Fatahalian:
Block and Detail: Scaffolding Sketch-to-Image Generation. CoRR abs/2402.18116 (2024) - [i21]David Durst, Feng Xie, Vishnu Sarukkai, Brennan Shacklett, Iuri Frosio, Chen Tessler, Joohwan Kim, Carly Taylor, Gilbert Bernstein, Sanjiban Choudhury, Pat Hanrahan, Kayvon Fatahalian:
Learning to Move Like Professional Counter-Strike Players. CoRR abs/2408.13934 (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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