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Dr. Maneesh Agarwala

Dr. Maneesh Agarwala

Forest Baskett Professor of Computer Science
Director of the Brown Institute for Media Innovation, Stanford University, USA

Dr. Agrawala is the Forest Baskett Professor of Computer Science and Director of the Brown Institute for Media Innovation at Stanford University. He works on computer graphics, human computer interaction and visualization. His focus is on investigating how cognitive design principles can be used to improve the effectiveness of audio/visual media. 

The goals of this work are to discover the design principles and then instantiate them in both interactive and automated design tools. He has received an Okawa Foundation Research Grant (2006), an Alfred P. Sloan Foundation Fellowship (2007), an NSF CAREER Award (2007), a SIGGRAPH Significant New Researcher Award (2008), a MacArthur Foundation Fellowship (2009), and an Allen Distinguished Investigator Award (2014).

Research Interests:
  • Computer Graphics
  • Human Computer Interaction
  • Visualization
  • Research Grant, Okawa Foundation (2006)
  • Research Fellow, Alfred P. Sloan Foundation (2007)
  • CAREER Award, National Science Foundation (2007)
  • Significant New Researcher Award, ACM SIGGRAPH (2008)
  • Fellow, MacArthur Foundation (2009)
  • Doctor of Philosophy (PhD) in Computer Science, Stanford University, USA
  • Bachelors of Science in Mathematics, Stanford University, USA
  • Haijun Xia, Jennifer Jacobs and Maneesh Agrawala, Crosscast: Adding Visuals to Audio Travel Podcasts, User Interface Software and Technology (UIST), Oct 2020. pp. 736-746.
  • James Hong, Will Crichton, Haotian Zhang, James Hong, Daniel Y. Fu, Jacob Ritchie, Jeremy Barenholtz, Ben Hannel, Xinwei Yao, Michaela Murray, Geraldine Moriba, Maneesh Agrawala and Kayvon Fatahalian: Analyzing Who and What Appears in a Decade of US Cable TV News, arXiv, Aug 2020. pp. 1-29.
  • Shruti Agarwal, Hany Farid, Ohad Fried and Maneesh Agrawala, Detecting Deep- Fake Videos from Phoneme-Viseme Mismatches, CVPR Workshop on Media Forensics, Jun 2020. pp. 1-9.
  • Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason Saragih, Matthias Nießner, Rohit Pandey, Sean Fanello, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Eli Shechtman, Dan B Goldman and Michael Zollhöfer, State of the Art on Neural Rendering, Computer Graphics Forum (Eurographics STAR Report), May 2020. pp. 1-27.
  • Dae Hyun Kim, Enamul Hoque and Maneesh Agrawala: Answering Questions about Charts and Generating Visual Explanations, ACM Human Factors in Computing Systems (CHI), Apr 2020. pp. 1-13.
  • Mackenzie Leake, Hijung Valentina Shin, Joy Kim and Maneesh Agrawala : Generating Audio-Visual Slideshows from Text Articles Using Word Concreteness, ACM Human Factors in Computing Systems (CHI), Apr 2020. pp. 1-11.
  • Jingyi Li, Joel Brandt, Radomir Mech, Maneesh Agrawala and Jennifer Jacobs : Supporting Visual Artists in Programming through Direct Inspection and Control of Program Execution, ACM Human Factors in Computing Systems (CHI), Apr 2020. pp. 1-12.
  • Ohad Fried, Jennifer Jacobs, Adam Finkelstein and Maneesh Agrawala: Editing Self-Image, Communications of the ACM (CACM), 63(3), Mar 2020. pp. 70-79.
  • Enamul Hoque and Maneesh Agrawala : Searching the Visual Style and Structure of D3 Visualizations, IEEE Trans. on Visualization and Computer Graphics (INFOVIS), 26(1), Jan 2020. pp. 1236-1245.
  • Jane E, Ohad Fried and Maneesh Agrawala : Optimizing Portrait Lighting at Capture-Time Using a 360 Camera as a Light Probe, User Interface Software and Technology (UIST), Oct 2019. pp. 221-232.
  • Sean J. Liu, Maneesh Agrawala, Stephen DiVerdi and Aaron Hertzmann: View- Dependent Video Textures for 360° Video, User Interface Software and Technology (UIST), Oct 2019. pp. 249-262.
  • Daniel Y. Fu, Will Crichton, James Hong, Xinwei Yao, Haotian Zhang, Anh Truong, Avanika Narayan, Maneesh Agrawala, Christopher Ré and Kayvon Fatahalian : Rekall: Specifying Video Events using Compositions of Spatiotemporal Labels, arXiv, Oct 2019. pp. 1-16.
  • Ohad Fried, Ayush Tewari, Michael Zollhöfer, Adam Finkelstein, Eli Shechtman, Dan B Goldman, Kyle Genova, Zeyu Jin, Christian Theobalt and Maneesh Agrawala : Text-based Editing of Talking-head Video, ACM Transactions on Graphics (SIGGRAPH), 38(4), July 2019. pp. 68:1-68:14.
  • Ohad Fried and Maneesh Agrawala: Puppet Dubbing, Proceedings of the Eurographics Symposium on Rendering, July 2019.
  • Anh Truong and Maneesh Agrawala : A Tool for Navigating and Editing 360 Video of Social Conversations into Shareable Highlights, Graphics Interface, May 2019.
  • Evan Strasnick, Sean Follmer and Maneesh Agrawala : Pinpoint: A PCB Debugging Pipeline Using Interruptible Routing and Instrumentation, ACM Human Factors in Computing Systems (CHI), May 2019. pp. 48:1-48:11.
  • Jingyi Li, Son Kim, Joshua A. Miele, Maneesh Agrawala and Sean Follmer: Editing Spatial Layouts Through Tactile Templates for People With Visual Impairments, ACM Human Factors in Computing Systems (CHI), May 2019. pp. 206:1-206:11.
  • Minsuk Chang, Anh Truong, Oliver Wang, Maneesh Agrawala and Juho Kim : How to Design Voice Based Navigation for How-To Videos, ACM Human Factors in Computing Systems (CHI), May 2019. pp. 701:1-701:11.
  • Lydia Chilton, Savvas Petridis and Maneesh Agrawala: VisiBlends: A Flexible Workflow for Visual Blends, ACM Human Factors in Computing Systems (CHI), May 2019. pp. 172:1-172:14.
  • Dae Hyun Kim, Enamul Hoque, Juho Kim and Maneesh Agrawala: Facilitating Document Reading by Linking Text and Tables, User Interface Software and Technology (UIST), Oct 2018. pp. 423-434.