Bryan Russell

Time 2022-09-15 03:14:24

Web Name: Bryan Russell

WebSite: http://www.bryanrussell.org

ID:315431

Keywords:

Bryan,Russell

Description:

Bryan Russell

Senior Research Scientist
Adobe Research

Address:
601 Townsend Street
San Francisco, CA 94103

E-mail: brussell at adobe.com

Internship advice:I'm happy to collaborate with enthusiastic and talented Ph.D., master's,and advanced undergraduate students in computer science. I typically hire interns to work with me in San Francisco during the summer, but may have availabilityat other times throughout the year.For summer internships I review applications betweenNovember and February. Intern slots are limited and competitive. To apply, e-mail me your CV, 1-2 references, and a brief description of what you would like to work on during your internship.

Research: My research is in computer vision, machine learning, and computer graphics. I'm interested in thefollowing areas:Learning from video: How can we learn a good representation of video via (cross-modal) self supervision? How can we best jointly model natural language, audio, and video? Potential applications include large-scale search and retrieval for video and smart video editing.3D scene understanding: How can we recover a good (editable and controllable) representation of a depicted 3D scene from one or more images? How can we learn real-world physics from video? How can we learn from real-world interactions in an environment? Potential applications include augmented reality, 2D-3D compositing and editing, and robotics.

Bio:I received my Ph.D. from MIT in the Computer Science and ArtificialIntelligence Laboratory under the supervision of ProfessorsBill Freeman andAntonio Torralba.I was a post-doctoral fellow in the INRIA Willow teamat the Département d'Informatique of Ecole Normale Supérieure.Before joining Adobe, I was a Research Scientist with Intel Labs as part ofthe Intel Science and Technology Center for Visual Computing (ISTC-VC) and Affiliate Facultyat the University of Washington.

Professional activities: Area chair: CVPR 2016, 3DV 2016, ECCV 2018, CVPR 2019, CVPR 2020, ECCV 2020.DEI chair: ECCV 2022.

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Commercial highlightsVideo shot size and angle filter in Adobe Stock (with Markus Woodson, Josef Sivic, Joon-Young Lee, Hailin Jin, Fabian Caba, Ruppesh Nalwaya, Markus Woodson). Adobe MAX 2021 announcement.Video smart tags in Adobe Experience Manager (with Josef Sivic, Joon-Young Lee, Hailin Jin, Fabian Caba, Ruppesh Nalwaya, Markus Woodson). Feature description and release notes.Video auto-tagging in Adobe Experience Manager UGC (with Josef Sivic, Joon-Young Lee, Hailin Jin, Ruppesh Nalwaya, Markus Woodson). Blog post on our work. Auto-ground plane in Adobe Dimension (with Geoff Oxholm, J Eisenmann, Emiliano Gambaretto, and Eli Shechtman). Blog post on our work.Automatic portrait segmentatation in Adobe Photoshop Mix mobile app's "auto cut out" feature (with Francisco Massa, Ian Sachs, and Shoaib Kamil). Selfie demo video that includes our feature, along with other selfie features.

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PublicationsComplete list of publications sorted by yearGoogle scholar profile

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Selected projects It's Time for Artistic Correspondence in Music and Video
Dídac Surís, Carl Vondrick, Bryan Russell, Justin Salamon
Conference on Computer Vision and Pattern Recognition (CVPR), 2022. Neural Volumetric Object Selection
Zhongzheng Ren, Aseem Agarwala, Bryan Russell, Alexander G. Schwing, Oliver Wang
Conference on Computer Vision and Pattern Recognition (CVPR), 2022. Focal Length and Object Pose Estimation via Render and Compare
Georgy Ponimatkin, Yann Labbé, Bryan Russell, Mathieu Aubry, Josef Sivic
Conference on Computer Vision and Pattern Recognition (CVPR), 2022. Look at What I'm Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos
Reuben Tan, Bryan A. Plummer, Kate Saenko, Hailin Jin, Bryan Russell
Advances in Neural Information Processing Systems (NeurIPS), 2021. Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions
Shuang Li, Yilun Du, Antonio Torralba, Josef Sivic, Bryan Russell
International Conference on Computer Vision (ICCV), 2021. Editing Conditional Radiance Fields
Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, Bryan Russell
International Conference on Computer Vision (ICCV), 2021. Contact and Human Dynamics from Monocular Video
Davis Rempe, Leonidas J. Guibas, Aaron Hertzmann, Bryan Russell, Ruben Villegas, Jimei Yang
European Conference on Computer Vision (ECCV), 2020. Telling Left from Right: Learning Spatial Correspondence of Sight and Sound
Karren Yang, Bryan Russell, Justin Salamon
Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Adobe blog Learning Elementary Structures for 3D Shape Generation and Matching
Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan Russell, Mathieu Aubry
Advances in Neural Information Processing Systems (NeurIPS), 2019. Neural Re-Simulation for Generating Bounces in Single Images
Carlo Innamorati, Bryan Russell, Danny M. Kaufman, Niloy J. Mitra
International Conference on Computer Vision (ICCV), 2019. FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images
Christian Zimmermann, Duygu Ceylan, Jimei Yang, Bryan Russell, Max Argus, Thomas Brox
International Conference on Computer Vision (ICCV), 2019. Unsupervised Cycle-Consistent Deformation for Shape Matching
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan Russell, Mathieu Aubry
Symposium on Geometry Processing (SGP), 2019. Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces
Senthil Purushwalkam, Abhinav Gupta, Danny Kaufman, Bryan Russell
International Conference on Learning Representations (ICLR), 2019.
Adobe blog Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction
Chen-Hsuan Lin, Oliver Wang, Bryan Russell, Eli Shechtman, Vladimir G. Kim, Matthew Fisher, Simon Lucey
Conference on Computer Vision and Pattern Recognition (CVPR), 2019. B-Script: Transcript-based B-roll Video Editing with Recommendations
Bernd Huber, Hijung Valentina Shin, Bryan Russell, Oliver Wang, Gautham J. Mysore
ACM Conference on Human Factors in Computing Systems (CHI), 2019.
Adobe blog Localizing Moments in Video with Temporal Language
Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan Russell
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018. BodyNet: Volumetric Inference of 3D Human Body Shapes
Gül Varol, Duygu Ceylan, Bryan Russell, Jimei Yang, Ersin Yumer, Ivan Laptev, Cordelia Schmid
European Conference on Computer Vision (ECCV), 2018. 3D-CODED: 3D Correspondences by Deep Deformation
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan Russell, Mathieu Aubry
European Conference on Computer Vision (ECCV), 2018. AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan Russell, Mathieu Aubry
Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
Adobe blog Transferring Image-Based Edits for Multi-Channel Compositing
James W. Hennessey, Wilmot Li, Bryan Russell, Eli Shechtman, Niloy J. Mitra
ACM Transactions on Graphics (SIGGRAPH Asia), 2017. Localizing Moments in Video with Natural Language
Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan Russell
International Conference on Computer Vision (ICCV), 2017.
Adobe blog Learning Visual Importance for Graphic Designs and Data Visualizations
Zoya Bylinskii, Nam Wook Kim, Peter O'Donovan, Sami Alsheikh, Spandan Madan, Hanspeter Pfister, Fredo Durand, Bryan Russell, Aaron Hertzmann
UIST, 2017.
Best paper honorable mention ActionVLAD: Learning Spatio-temporal Aggregation for Action Classification
Rohit Girdhar, Deva Ramanan, Abhinav Gupta, Josef Sivic, Bryan Russell
Conference on Computer Vision and Pattern Recognition (CVPR), 2017. PixelNet: Representation of the Pixels, by the Pixels, and for the Pixels
Aayush Bansal, Xinlei Chen, Bryan Russell, Abhinav Gupta, Deva Ramanan
arXiv, 2017. Marr Revisited: 2D-3D Alignment via Surface Normal Prediction
Aayush Bansal, Bryan C. Russell, Abhinav Gupta
Conference on Computer Vision and Pattern Recognition (CVPR), 2016. Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views
Francisco Massa, Bryan C. Russell, Mathieu Aubry
Conference on Computer Vision and Pattern Recognition (CVPR), 2016. Understanding Deep Features with Computer-Generated Imagery
Mathieu Aubry and Bryan C. Russell
IEEE International Conference on Computer Vision (ICCV), 2015. Deep Classifiers from Image Tags in the Wild
Hamid Izadinia, Bryan C. Russell, Ali Farhadi, Matthew D. Hoffman, Aaron Hertzmann
Multimedia COMMONS, ACM Multimedia, 2015. The 3D Jigsaw Puzzle: Mapping Large Indoor Spaces
Ricardo Martin-Brualla, Yanling He, Bryan C. Russell, Steven M. Seitz
European Conference on Computer Vision (ECCV), 2014. Seeing 3D Chairs: Exemplar Part-based 2D-3D Alignment Using a Large Dataset of CAD Models
Mathieu Aubry, Daniel Maturana, Alexei A. Efros, Bryan C. Russell, Josef Sivic
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014. Painting-to-3D Model Alignment Via Discriminative Visual Elements
Mathieu Aubry, Bryan C. Russell, Josef Sivic
ACM Transactions on Graphics (presented at SIGGRAPH 2014), Vol. 33, No. 2, 2014. 3D Wikipedia: Using Online Text to Automatically Label and Navigate Reconstructed Geometry
Bryan C. Russell, Ricardo Martin-Brualla, Daniel J. Butler, Steven M. Seitz, Luke Zettlemoyer
ACM Transactions on Graphics (SIGGRAPH Asia), Vol. 32, No. 6, 2013. Localizing 3D Cuboids in Single-view Images
Jianxiong Xiao, Bryan C. Russell, Antonio Torralba
Advances in Neural Information Processing Systems (NIPS), 2012. Automatic Alignment of Paintings and Photographs Depicting a 3D Scene
Bryan C. Russell, Josef Sivic, Jean Ponce, Hélène Dessales
3rd International IEEE Workshop on 3D Representation for Recognition (3dRR-11),
associated with ICCV 2011. Segmenting Scenes by Matching Image Composites
Bryan C. Russell, Alexei A. Efros, Josef Sivic, William T. Freeman, Andrew Zisserman
Advances in Neural Information Processing Systems (NIPS),2009. LabelMe video: Building a Video Database with Human Annotations
Jenny Yuen, Bryan C. Russell, Ce Liu, Antonio Torralba
IEEE International Conference on Computer Vision (ICCV),2009. LabelMe3D: Building a Database of 3D Scenes from User Annotations
Bryan C. Russell and Antonio Torralba
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009. LabelMe: A Database and Web-based Tool for Image Annotation
Bryan C. Russell, Antonio Torralba, Kevin P. Murphy, William T. Freeman
International Journal of Computer Vision, 77(1-3):157-173, 2008. Object Recognition by Scene Alignment
Bryan C. Russell, Antonio Torralba, Ce Liu, Rob Fergus, William T. Freeman
Advances in Neural Information Processing Systems (NIPS), 2007. Using Multiple Segmentations to Discover Objects and their Extent in Image Collections
Bryan C. Russell, Alexei A. Efros, Josef Sivic, William T. Freeman, Andrew Zisserman
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2006. Discovering Objects and their Location in Images
Josef Sivic, Bryan C. Russell, Alexei A. Efros, Andrew Zisserman, William T. Freeman
International Conference on Computer Vision (ICCV), 2005.
Winner of the Helmholtz "test-of-time" Prize at ICCV 2017

Misc.

CVPR 2013: Intel-sponsored panel discussion on computational bottlenecks in computer vision Spring 2012: CSE 590V: Computer vision seminar Fall 2011: CSE 590V: Computer vision seminar

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