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ORCIDManeesh Agrawala
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- affiliation: Stanford University, USA
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2020 – today
- 2023
[c115]Jeremy Warner
, Amy Pavel, Tonya Nguyen, Maneesh Agrawala, Bjoern Hartmann:
SlideSpecs: Automatic and Interactive Presentation Feedback Collation. IUI 2023: 695-709- [c114]Jiaju Ma, Anyi Rao, Li-Yi Wei, Rubaiat Habib Kazi, Hijung Valentina Shin, Maneesh Agrawala:
Automated Conversion of Music Videos into Lyric Videos. UIST 2023: 13:1-13:11 - [c113]Jean-Peïc Chou, Alexa Fay Siu, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt, Maneesh Agrawala:
TaleStream: Supporting Story Ideation with Trope Knowledge. UIST 2023: 52:1-52:12 - [i28]Lvmin Zhang, Maneesh Agrawala:
Adding Conditional Control to Text-to-Image Diffusion Models. CoRR abs/2302.05543 (2023) - [i27]Daehyun Kim, Seulgi Choi, Juho Kim, Vidya Setlur, Maneesh Agrawala:
EmphasisChecker: A Tool for Guiding Chart and Caption Emphasis. CoRR abs/2307.13858 (2023) - [i26]Jiaju Ma, Anyi Rao, Li-Yi Wei, Rubaiat Habib Kazi, Hijung Valentina Shin, Maneesh Agrawala:
Automated Conversion of Music Videos into Lyric Videos. CoRR abs/2308.14922 (2023) - [i25]Jean-Peïc Chou, Alexa F. Siu, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt, Maneesh Agrawala:
TaleStream: Supporting Story Ideation with Trope Knowledge. CoRR abs/2309.03790 (2023) - [i24]Chen Geng, Hong-Xing Yu, Sharon Zhang, Maneesh Agrawala, Jiajun Wu:
Tree-Structured Shading Decomposition. CoRR abs/2309.07122 (2023) - [i23]Hariharan Subramonyam, Christopher Lawrence Pondoc, Colleen M. Seifert, Maneesh Agrawala, Roy Pea:
Bridging the Gulf of Envisioning: Cognitive Design Challenges in LLM Interfaces. CoRR abs/2309.14459 (2023) - [i22]Sharon Zhang, Jiaju Ma, Jiajun Wu, Daniel Ritchie, Maneesh Agrawala:
Editing Motion Graphics Video via Motion Vectorization and Transformation. CoRR abs/2309.14642 (2023) - [i21]Yuwei Guo, Ceyuan Yang, Anyi Rao, Maneesh Agrawala, Dahua Lin, Bo Dai:
SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models. CoRR abs/2311.16933 (2023) - 2022
- [j67]Sean J. Liu, Maneesh Agrawala, Stephen DiVerdi, Aaron Hertzmann:
ZoomShop: Depth-Aware Editing of Photographic Composition. Comput. Graph. Forum 41(2): 57-70 (2022) - [j66]Dan Cascaval, Mira Shalah, Phillip Quinn, Rastislav Bodík, Maneesh Agrawala, Adriana Schulz:
Differentiable 3D CAD Programs for Bidirectional Editing. Comput. Graph. Forum 41(2): 309-323 (2022) - [c112]Ayush Tewari, Mallikarjun B. R., Xingang Pan, Ohad Fried, Maneesh Agrawala, Christian Theobalt:
Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images. CVPR 2022: 1506-1515 - [c111]Mona Gandhi, Mustafa Omer Gul, Eva Prakash, Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala:
Measuring Compositional Consistency for Video Question Answering. CVPR 2022: 5036-5045 - [c110]Will Crichton, Marco Patrignani, Maneesh Agrawala, Pat Hanrahan:
Modular information flow through ownership. PLDI 2022: 1-14 - [c109]Mackenzie Leake, Gilbert Bernstein, Maneesh Agrawala:
Sketch-Based Design of Foundation Paper Pieceable Quilts. UIST 2022: 21:1-21:11 - [e5]Maneesh Agrawala, Jacob O. Wobbrock, Eytan Adar, Vidya Setlur:
The 35th Annual ACM Symposium on User Interface Software and Technology, UIST 2022, Bend, OR, USA, 29 October 2022 - 2 November 2022. ACM 2022, ISBN 978-1-4503-9320-1 [contents] - [e4]Maneesh Agrawala, Jacob O. Wobbrock, Eytan Adar, Vidya Setlur:
The Adjunct Publication of the 35th Annual ACM Symposium on User Interface Software and Technology, UIST 2022, Bend, OR, USA, 29 October 2022- 2 November 2022. ACM 2022, ISBN 978-1-4503-9321-8 [contents] - [i20]Ayush Tewari, Mallikarjun B. R., Xingang Pan, Ohad Fried, Maneesh Agrawala, Christian Theobalt:
Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images. CoRR abs/2203.15926 (2022) - [i19]Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala:
AGQA 2.0: An Updated Benchmark for Compositional Spatio-Temporal Reasoning. CoRR abs/2204.06105 (2022) - [i18]Mona Gandhi, Mustafa Omer Gul, Eva Prakash, Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala:
Measuring Compositional Consistency for Video Question Answering. CoRR abs/2204.07190 (2022) - 2021
- [j65]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) - [j64]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) - [j63]Mackenzie Leake, Gilbert Bernstein, Abe Davis, Maneesh Agrawala:
A mathematical foundation for foundation paper pieceable quilts. ACM Trans. Graph. 40(4): 65:1-65:14 (2021) - [c108]Will Crichton, Maneesh Agrawala, Pat Hanrahan:
The Role of Working Memory in Program Tracing. CHI 2021: 56:1-56:13 - [c107]Anh Truong, Peggy Chi, David Salesin, Irfan Essa, Maneesh Agrawala:
Automatic Generation of Two-Level Hierarchical Tutorials from Instructional Makeup Videos. CHI 2021: 108:1-108:16 - [c106]Dae Hyun Kim, Vidya Setlur, Maneesh Agrawala:
Towards Understanding How Readers Integrate Charts and Captions: A Case Study with Line Charts. CHI 2021: 610:1-610:11 - [c105]Evan Strasnick, Maneesh Agrawala, Sean Follmer:
Coupling Simulation and Hardware for Interactive Circuit Debugging. CHI 2021: 667:1-667:15 - [c104]Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala:
AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning. CVPR 2021: 11287-11297 - [c103]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 - [c102]Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Zexiang Xu, Tomas Simon, Matthias Nießner, Edgar Tretschk, Lingjie Liu, Ben Mildenhall, Pratul P. Srinivasan, Rohit Pandey, Sergio Orts-Escolano, Sean Ryan Fanello, Michelle Guo, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Daniel B. Goldman, Michael Zollhöfer:
Advances in neural rendering. SIGGRAPH Courses 2021: 1:1-1:320 - [c101]Jingyi Li, Wilmot Li, Sean Follmer, Maneesh Agrawala:
Automated Accessory Rigs for Layered 2D Character Illustrations. UIST 2021: 1100-1108 - [i17]Will Crichton, Maneesh Agrawala, Pat Hanrahan:
The Role of Working Memory in Program Tracing. CoRR abs/2101.06305 (2021) - [i16]Dae Hyun Kim, Vidya Setlur, Maneesh Agrawala:
Towards Understanding How Readers Integrate Charts and Captions: A Case Study with Line Charts. CoRR abs/2101.08235 (2021) - [i15]Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala:
AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning. CoRR abs/2103.16002 (2021) - [i14]Dan Cascaval, Mira Shalah, Phillip Quinn, Rastislav Bodík, Maneesh Agrawala, Adriana Schulz:
Differentiable 3D CAD Programs for Bidirectional Editing. CoRR abs/2110.01182 (2021) - [i13]Will Crichton, Marco Patrignani, Maneesh Agrawala, Pat Hanrahan:
Modular Information Flow Through Ownership. CoRR abs/2111.13662 (2021) - 2020
- [j62]Ohad Fried, Jennifer Jacobs, Adam Finkelstein, Maneesh Agrawala:
Editing self-image. Commun. ACM 63(3): 70-79 (2020) - [j61]Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason M. Saragih, Matthias Nießner, Rohit Pandey, Sean Ryan Fanello, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Eli Shechtman, Dan B. Goldman, Michael Zollhöfer:
State of the Art on Neural Rendering. Comput. Graph. Forum 39(2): 701-727 (2020) - [j60]Enamul Hoque, Maneesh Agrawala:
Searching the Visual Style and Structure of D3 Visualizations. IEEE Trans. Vis. Comput. Graph. 26(1): 1236-1245 (2020) - [c100]Dae Hyun Kim, Enamul Hoque, Maneesh Agrawala:
Answering Questions about Charts and Generating Visual Explanations. CHI 2020: 1-13 - [c99]Mackenzie Leake, Hijung Valentina Shin, Joy O. Kim, Maneesh Agrawala:
Generating Audio-Visual Slideshows from Text Articles Using Word Concreteness. CHI 2020: 1-11 - [c98]Jingyi Li, Joel Brandt, Radomír Mech, Maneesh Agrawala, Jennifer Jacobs:
Supporting Visual Artists in Programming through Direct Inspection and Control of Program Execution. CHI 2020: 1-12 - [c97]Shruti Agarwal, Hany Farid, Ohad Fried, Maneesh Agrawala:
Detecting Deep-Fake Videos from Phoneme-Viseme Mismatches. CVPR Workshops 2020: 2814-2822 - [c96]Haijun Xia, Jennifer Jacobs, Maneesh Agrawala:
Crosscast: Adding Visuals to Audio Travel Podcasts. UIST 2020: 735-746 - [i12]Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason M. Saragih, Matthias Nießner, Rohit Pandey, Sean Ryan Fanello, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Eli Shechtman, Dan B. Goldman, Michael Zollhöfer:
State of the Art on Neural Rendering. CoRR abs/2004.03805 (2020) - [i11]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) - [i10]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) - [i9]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
- [j59]Ohad Fried, Ayush Tewari, Michael Zollhöfer, Adam Finkelstein, Eli Shechtman, Dan B. Goldman, Kyle Genova, Zeyu Jin, Christian Theobalt, Maneesh Agrawala:
Text-based editing of talking-head video. ACM Trans. Graph. 38(4): 68:1-68:14 (2019) - [c95]Evan Strasnick, Sean Follmer, Maneesh Agrawala:
Pinpoint: A PCB Debugging Pipeline Using Interruptible Routing and Instrumentation. CHI 2019: 48 - [c94]Lydia B. Chilton, Savvas Petridis, Maneesh Agrawala:
VisiBlends: A Flexible Workflow for Visual Blends. CHI 2019: 172 - [c93]Jingyi Li, Son Kim, Joshua A. Miele, Maneesh Agrawala, Sean Follmer:
Editing Spatial Layouts through Tactile Templates for People with Visual Impairments. CHI 2019: 206 - [c92]Minsuk Chang, Anh Truong, Oliver Wang, Maneesh Agrawala, Juho Kim:
How to Design Voice Based Navigation for How-To Videos. CHI 2019: 701 - [c91]Anh Truong, Maneesh Agrawala:
A Tool for Navigating and Editing 360 Video of Social Conversations into Shareable Highlights. Graphics Interface 2019: 14:1-14:9 - [c90]Ohad Fried, Maneesh Agrawala:
Puppet Dubbing. EGSR (DL/I) 2019: 51-60 - [c89]Jane L. E, Ohad Fried, Maneesh Agrawala:
Optimizing Portrait Lighting at Capture-Time Using a 360 Camera as a Light Probe. UIST 2019: 221-232 - [c88]Sean J. Liu, Maneesh Agrawala, Stephen DiVerdi, Aaron Hertzmann:
View-Dependent Video Textures for 360° Video. UIST 2019: 249-262 - [i8]Ohad Fried, Maneesh Agrawala:
Puppet Dubbing. CoRR abs/1902.04285 (2019) - [i7]Ohad Fried, Ayush Tewari, Michael Zollhöfer, Adam Finkelstein, Eli Shechtman, Dan B. Goldman, Kyle Genova, Zeyu Jin, Christian Theobalt, Maneesh Agrawala:
Text-based Editing of Talking-head Video. CoRR abs/1906.01524 (2019) - [i6]Enamul Hoque, Maneesh Agrawala:
Searching the Visual Style and Structure of D3 Visualizations. CoRR abs/1907.11265 (2019) - [i5]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) - 2018
- [j58]Abe Davis, Maneesh Agrawala:
Visual rhythm and beat. ACM Trans. Graph. 37(4): 122 (2018) - [j57]Jonathan Harper, Maneesh Agrawala:
Converting Basic D3 Charts into Reusable Style Templates. IEEE Trans. Vis. Comput. Graph. 24(3): 1274-1286 (2018) - [j56]Vincent Sitzmann, Ana Serrano, Amy Pavel, Maneesh Agrawala, Diego Gutierrez, Belén Masiá, Gordon Wetzstein:
Saliency in VR: How Do People Explore Virtual Environments? IEEE Trans. Vis. Comput. Graph. 24(4): 1633-1642 (2018) - [c87]Jessica Hullman, Yea-Seul Kim, Francis Nguyen, Lauren Speers, Maneesh Agrawala:
Improving Comprehension of Measurements Using Concrete Re-expression Strategies. CHI 2018: 34 - [c86]Minsuk Chang, Léonore V. Guillain, Hyeungshik Jung, Vivian M. Hare, Juho Kim, Maneesh Agrawala:
RecipeScape: An Interactive Tool for Analyzing Cooking Instructions at Scale. CHI 2018: 451 - [c85]Abe Davis, Maneesh Agrawala:
Visual Rhythm and Beat. CVPR Workshops 2018: 2532-2535 - [c84]Lydia B. Chilton, Savvas Petridis, Maneesh Agrawala:
An Interactive Pipeline for Creating Visual Blends. UIST (Adjunct Volume) 2018: 188-190 - [c83]Dae Hyun Kim, Enamul Hoque, Juho Kim, Maneesh Agrawala:
Facilitating Document Reading by Linking Text and Tables. UIST 2018: 423-434 - 2017
- [j55]JiaXian Yao, Danny M. Kaufman, Yotam I. Gingold, Maneesh Agrawala:
Interactive Design and Stability Analysis of Decorative Joinery for Furniture. ACM Trans. Graph. 36(2): 20:1-20:16 (2017) - [j54]Mackenzie Leake, Abe Davis, Anh Truong, Maneesh Agrawala:
Computational video editing for dialogue-driven scenes. ACM Trans. Graph. 36(4): 130:1-130:14 (2017) - [c82]Minsuk Chang, Vivian M. Hare, Juho Kim, Maneesh Agrawala:
RecipeScape: Mining and Analyzing Diverse Processes in Cooking Recipes. CHI Extended Abstracts 2017: 1524-1531 - [c81]Joy Kim, Maneesh Agrawala, Michael S. Bernstein:
Mosaic: Designing Online Creative Communities for Sharing Works-in-Progress. CSCW 2017: 246-258 - [c80]Jihyeon Janel Lee, Mitchell L. Gordon, Maneesh Agrawala:
Automatically Visualizing Audio Travel Podcasts. UIST (Adjunct Volume) 2017: 165-167 - [c79]Amy Pavel, Björn Hartmann, Maneesh Agrawala:
Shot Orientation Controls for Interactive Cinematography with 360 Video. UIST 2017: 289-297 - [c78]Evan Strasnick, Maneesh Agrawala, Sean Follmer:
Scanalog: Interactive Design and Debugging of Analog Circuits with Programmable Hardware. UIST 2017: 321-330 - [i4]Manolis Savva, Angel X. Chang, Maneesh Agrawala:
SceneSuggest: Context-driven 3D Scene Design. CoRR abs/1703.00061 (2017) - 2016
- [c77]Yea-Seul Kim, Jessica Hullman, Maneesh Agrawala:
Generating Personalized Spatial Analogies for Distances and Areas. CHI 2016: 38-48 - [c76]Hsiang-Ting Chen, Li-Yi Wei, Björn Hartmann, Maneesh Agrawala:
Data-driven adaptive history for image editing. I3D 2016: 103-111 - [c75]Anh Truong, Floraine Berthouzoz, Wilmot Li, Maneesh Agrawala:
QuickCut: An Interactive Tool for Editing Narrated Video. UIST 2016: 497-507 - [c74]Amy Pavel, Dan B. Goldman, Björn Hartmann, Maneesh Agrawala:
VidCrit: Video-based Asynchronous Video Review. UIST 2016: 517-528 - [i3]Jonathan Harper, Maneesh Agrawala:
Converting Basic D3 Charts into Reusable Style Templates. CoRR abs/1609.05283 (2016) - [i2]Joy Kim, Maneesh Agrawala, Michael S. Bernstein:
Mosaic: Designing Online Creative Communities for Sharing Works-in-Progress. CoRR abs/1611.02666 (2016) - [i1]Vincent Sitzmann, Ana Serrano, Amy Pavel, Maneesh Agrawala, Diego Gutierrez, Gordon Wetzstein:
Saliency in VR: How do people explore virtual environments? CoRR abs/1612.04335 (2016) - 2015
- [c73]Kurt Luther, Jari-Lee Tolentino, Wei Wu, Amy Pavel, Brian P. Bailey, Maneesh Agrawala, Björn Hartmann, Steven P. Dow:
Structuring, Aggregating, and Evaluating Crowdsourced Design Critique. CSCW 2015: 473-485 - [c72]Amy Pavel, Dan B. Goldman, Björn Hartmann, Maneesh Agrawala:
SceneSkim: Searching and Browsing Movies Using Synchronized Captions, Scripts and Plot Summaries. UIST 2015: 181-190 - [c71]Steve Rubin, Floraine Berthouzoz, Gautham J. Mysore, Maneesh Agrawala:
Capture-Time Feedback for Recording Scripted Narration. UIST 2015: 191-199 - 2014
- [j53]Christian Richardt, Jorge Lopez-Moreno, Adrien Bousseau, Maneesh Agrawala, George Drettakis:
Vectorising Bitmaps into Semi-Transparent Gradient Layers. Comput. Graph. Forum 33(4): 11-19 (2014) - [j52]Jiamin Bai, Aseem Agarwala, Maneesh Agrawala, Ravi Ramamoorthi:
User-Assisted Video Stabilization. Comput. Graph. Forum 33(4): 61-70 (2014) - [j51]Wilmot Li, Maneesh Agrawala, Niloy J. Mitra:
Creating works-like prototypes of mechanical objects. ACM Trans. Graph. 33(6): 217:1-217:9 (2014) - [j50]Sean M. Arietta, Alexei A. Efros, Ravi Ramamoorthi, Maneesh Agrawala:
City Forensics: Using Visual Elements to Predict Non-Visual City Attributes. IEEE Trans. Vis. Comput. Graph. 20(12): 2624-2633 (2014) - [c70]Nicholas Kong, Marti A. Hearst, Maneesh Agrawala:
Extracting references between text and charts via crowdsourcing. CHI 2014: 31-40 - [c69]Ankit Gupta, Maneesh Agrawala, Brian Curless, Michael F. Cohen:
MotionMontage: a system to annotate and combine motion takes for 3D animations. CHI 2014: 2017-2026 - [c68]Hsiang-Ting Chen, Tovi Grossman, Li-Yi Wei, Ryan M. Schmidt, Björn Hartmann, George W. Fitzmaurice, Maneesh Agrawala:
History assisted view authoring for 3D models. CHI 2014: 2027-2036 - [c67]Kurt Luther, Amy Pavel, Wei Wu, Jari-Lee Tolentino, Maneesh Agrawala, Björn Hartmann, Steven P. Dow:
CrowdCrit: crowdsourcing and aggregating visual design critique. CSCW Companion 2014: 21-24 - [c66]Jonathan Harper, Maneesh Agrawala:
Deconstructing and restyling D3 visualizations. UIST 2014: 253-262 - [c65]Steve Rubin, Maneesh Agrawala:
Generating emotionally relevant musical scores for audio stories. UIST 2014: 439-448 - [c64]Amy Pavel, Colorado Reed, Björn Hartmann, Maneesh Agrawala:
Video digests: a browsable, skimmable format for informational lecture videos. UIST 2014: 573-582 - 2013
- [j49]Niloy J. Mitra, Yong-Liang Yang, Dong-Ming Yan, Wilmot Li, Maneesh Agrawala:
Illustrating how mechanical assemblies work. Commun. ACM 56(1): 106-114 (2013) - [j48]Jiamin Bai, Aseem Agarwala, Maneesh Agrawala, Ravi Ramamoorthi:
Automatic Cinemagraph Portraits. Comput. Graph. Forum 32(4): 17-25 (2013) - [j47]Adrien Bousseau, James P. O'Shea, Frédo Durand, Ravi Ramamoorthi, Maneesh Agrawala:
Gloss perception in painterly and cartoon rendering. ACM Trans. Graph. 32(2): 18:1-18:13 (2013) - [j46]Floraine Berthouzoz, Akash Garg, Danny M. Kaufman, Eitan Grinspun, Maneesh Agrawala:
Parsing sewing patterns into 3D garments. ACM Trans. Graph. 32(4): 85:1-85:12 (2013) - [j45]Jorge Lopez-Moreno, Stefan Popov, Adrien Bousseau, Maneesh Agrawala, George Drettakis:
Depicting stylized materials with vector shade trees. ACM Trans. Graph. 32(4): 118:1-118:10 (2013) - [j44]Duygu Ceylan, Wilmot Li, Niloy J. Mitra, Maneesh Agrawala, Mark Pauly:
Designing and fabricating mechanical automata from mocap sequences. ACM Trans. Graph. 32(6): 186:1-186:11 (2013) - [j43]Wesley Willett, Shiry Ginosar, Avital Steinitz, Björn Hartmann, Maneesh Agrawala:
Identifying Redundancy and Exposing Provenance in Crowdsourced Data Analysis. IEEE Trans. Vis. Comput. Graph. 19(12): 2198-2206 (2013) - [c63]Steve Rubin, Floraine Berthouzoz, Gautham J. Mysore, Wilmot Li, Maneesh Agrawala:
Content-based tools for editing audio stories. UIST 2013: 113-122 - [c62]Shiry Ginosar, Luis Fernando De Pombo, Maneesh Agrawala, Björn Hartmann:
Authoring multi-stage code examples with editable code histories. UIST 2013: 485-494 - 2012
- [j42]Adrien Bousseau, Emmanuelle Chapoulie, Ravi Ramamoorthi, Maneesh Agrawala:
Shiny Vase, Translucent Candle and Metallic Sculpture. Comput. Graph. Forum 31(1): 217-218 (2012) - [j41]Jiamin Bai, Aseem Agarwala, Maneesh Agrawala, Ravi Ramamoorthi:
Selectively de-animating video. ACM Trans. Graph. 31(4): 66:1-66:10 (2012) - [j40]Floraine Berthouzoz, Wilmot Li, Maneesh Agrawala:
Tools for placing cuts and transitions in interview video. ACM Trans. Graph. 31(4): 67:1-67:8 (2012) - [j39]Nicholas Kong, Maneesh Agrawala:
Graphical Overlays: Using Layered Elements to Aid Chart Reading. IEEE Trans. Vis. Comput. Graph. 18(12): 2631-2638 (2012) - [c61]