/Abhinav Gupta

Abhinav Gupta

Portrait of Abhinav Gupta
Associate Professor
Office: 121 Elliot Dunlap Smith Hall
Phone: (412) 268-2067
Personal Homepage
Administrative Assistant: Christine Downey

Mailing Address

How do we represent the visual world? My research focuses on developing representation and reasoning approaches for deeper understanding of the scene. I am interested in formulating the scene understanding problem in terms of the underlying 3D scene and develop reasoning approaches based on physical, functional and causal relationships between the different elements in the scene. The key idea is to have a qualitative representation and yet have a meaningful grounding in the physical scene.

What is the link between Language and Vision? What role does language play in visual learning? I am interested in exploring how declarative information and other linguistic information can be harnessed to efficiently learn how the world works (structural information). I am also interesting in exploring how we can obtain such linguistic information.

How are actions and objects related to each other? I have been focusing on studying how do humans interact with their environment and how does their perception of visual world depends on these interactions and their abilities. Building upon Gibson’s idea of affordances, we have recently proposed the concept of human centric scene understanding.

Displaying 22 Publications
Learning by Asking
Ishan Misra, Ross Girshick, Rob Fergus, Martial Hebert, Abhinav Gupta and Laurens van der Maaten

Conference Paper, Computer Vision and Pattern Recognition (CVPR), June, 2018
From Red Wine to Red Tomato: Composition with Context
Ishan Misra, Abhinav Gupta and Martial Hebert

Conference Paper, Computer Vision and Pattern Recognition, July, 2017
Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours
Lerrel Pinto and Abhinav Gupta

Master's Thesis, Tech. Report, CMU-RI-TR-16-48, Robotics Institute, Carnegie Mellon University, July, 2016
Cross-stitch Networks for Multi-task Learning
Ishan Misra, Abhinav Shrivastava, Abhinav Gupta and Martial Hebert

Conference Paper, IEEE Conference on Computer Vision and Pattern Recognition, June, 2016
Unfolding an Indoor Origami World
David Fouhey, Abhinav Gupta and Martial Hebert

Conference Paper, European Conference on Computer Vision (ECCV), July, 2014
Enriching Visual Knowledge Bases via Object Discovery and Segmentation
Xinlei Chen, Abhinav Shrivastava and Abhinav Gupta

Conference Paper, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), March, 2014
Patch to the Future: Unsupervised Visual Prediction
Jacob Walker, Abhinav Gupta and Martial Hebert

Conference Paper, Proc. Computer Vision and Pattern Recognition, March, 2014
Building Part-based Object Detectors via 3D Geometry
Abhinav Shrivastava and Abhinav Gupta

Conference Paper, International Conference on Computer Vision (ICCV), December, 2013
Data-Driven 3D Primitives for Single Image Understanding
David Fouhey, Abhinav Gupta and Martial Hebert

Conference Paper, International Conference on Computer Vision, December, 2013
NEIL: Extracting Visual Knowledge from Web Data
Xinlei Chen, Abhinav Shrivastava and Abhinav Gupta

Conference Paper, International Conference on Computer Vision (ICCV), December, 2013
Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes
Abhinav Shrivastava, Saurabh Singh and Abhinav Gupta

Conference Paper, European Conference on Computer Vision (ECCV), Vol. 7574, pp. 369-383, October, 2012
People Watching: Human Actions as a Cue for Single View Geometry
David Fouhey, Vincent Delaitre, Abhinav Gupta, Alexei A. Efros, Ivan Laptev and Josef Sivic

Conference Paper, European Conference on Computer Vision (ECCV), October, 2012
Scene semantics from long-term observation of people
Vincent Delaitre, David Fouhey, Ivan Laptev, Josef Sivic, Abhinav Gupta and Alexei A. Efros

Conference Paper, European Conference on Computer Vision (ECCV), October, 2012
Unsupervised Discovery of Mid-Level Discriminative Patches.
Saurabh Singh, Abhinav Gupta and Alexei A. Efros

Conference Paper, European Conference on Computer Vision (ECCV), October, 2012
Data-driven visual similarity for cross-domain image matching
Abhinav Shrivastava, Tomasz Malisiewicz, Abhinav Gupta and Alexei A. Efros

Journal Article, Carnegie Mellon University, ACM Transactions on Graphics (TOG)- Proceedings of ACM SIGGRAPH Asia 2011, Vol. 30, No. 6, December, 2011
Ensemble of Exemplar-SVMs for Object Detection and Beyond
Tomasz Malisiewicz, Abhinav Gupta and Alexei A. Efros

Conference Paper, International Conference of Computer Vision, November, 2011
From 3D Scene Geometry to Human Workspace
Abhinav Gupta, Scott Satkin, Alexei A. Efros and Martial Hebert

Conference Paper, IEEE Conference on Computer Vision and Pattern Recognition, pp. 1961-1968, May, 2011
Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces
David Changsoo Lee, Abhinav Gupta, Martial Hebert and Takeo Kanade

Carnegie Mellon University, Advances in Neural Information Processing Systems 24 (NIPS), December, 2010
Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces
David Changsoo Lee, Abhinav Gupta, Martial Hebert and Takeo Kanade

Journal Article, Carnegie Mellon University, Advances in Neural Information Processing Systems (NIPS), Vol. 24, November, 2010
Blocks World Revisited: Image Understanding using Qualitative Geometry and Mechanics
Abhinav Gupta, Alexei A. Efros and Martial Hebert

Conference Paper, European Conference on Computer Vision (ECCV), September, 2010
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