Publications

Abhinav Gupta

2012

  • David Fouhey, Vincent Delaitre, Abhinav Gupta, Alexei A. Efros, Ivan Laptev, Josef Sivic. People Watching: Human Actions as a Cue for Single View Geometry. In ECCV 2012. (Oral) (PDF)
  • Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta.Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes. In ECCV 2012.(Oral) (PDF)
  • Saurabh Singh, Abhinav Gupta, Alexei A. Efros. Unsupervised Discovery of Mid-Level Discriminative Patches. In ECCV 2012. (PDF)
  • Vincent Delaitre, David Fouhey, Ivan Laptev, Josef Sivic Abhinav Gupta, Alexei A. Efros. Scene Semantics from Long-term Observation of People. In ECCV 2012. (PDF)
  • Carl Doersch, Saurabh Singh, Abhinav Gupta, Josef Sivic, Alexei A. Efros. What makes Paris look like Paris? In SIGGRAPH 2012.(PDF)

2011

  • Abhinav Shrivastava, Tomasz Malisiewicz, Abhinav Gupta, Alexei A. Efros, Data-driven Visual Similarity for Cross-domain Image Matching, In SIGGRAPH Asia 2011 (PDF)
  • Tomasz Malisiewicz, Abhinav Gupta, Alexei A. Efros, Ensemble of Exemplar-SVMs for Object Detection and Beyond, In ICCV 2011.(PDF)
  • Abhinav Gupta, Scott Satkin, Alexei A. Efros and Martial Hebert, From 3D Scene Geometry to Human Workspace. In CVPR 2011. (Oral) (PDF)
  • Xi Chen, Arpit Jain, Abhinav Gupta and Larry S Davis, Piecing Together the Segmentation Jigsaw using Context, In CVPR 2011. (PDF)

2010

  • David C. Lee, Abhinav Gupta, Martial Hebert, and Takeo Kanade, Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces, In NIPS 2010. (PDF)
  • Abhinav Gupta, Alexei Efros and Martial Hebert, Blocks World Revisited: Image Understanding using Qualitative Geometry and Mechanics, In ECCV 2010. (Oral) (PDF) Best Paper Runner Up Award
  • Arpit Jain, Abhinav Gupta and Larry S. Davis, Learning What and How of Contextual Models for Scene Labeling, In ECCV 2010. (PDF)
  • Behjat Siddiquie and Abhinav Gupta, Beyond Active Noun Tagging: Modeling Contextual Interactions for Multi-Class Active Learning, In CVPR 2010. (Oral) (PDF)

2009

  • Abhinav Gupta, Praveen Srinivasan, Jianbo Shi and Larry S. Davis, Understanding Videos, Constructing Plots: Learning a Visually Grounded Storyline Model from Annotated Videos, In CVPR 2009. (Oral) (PDF)
  • Abhinav Gupta, Aniruddha Kembhavi and Larry S. Davis, Observing Human-Object Interactions: Using Spatial and Functional Compatibility for Recognition. To Appear in IEEE Transactions on Pattern Analysis and Machine Intelligence (Special Issue on Probabilistic Graphical Models) (PDF)

2008

  • Abhinav Gupta, Jianbo Shi and Larry S. Davis, A "Shape Aware" Model for semi-supervised Learning of Objects and its Context, In NIPS 2008 (Spotlight Poster) (PDF)
  • Abhinav Gupta and Larry S. Davis, Beyond nouns: Exploiting prepositions and comparative adjectives for learning visual classifiers, Accepted in ECCV 2008 (Oral) (PDF)
  • Abhinav Gupta, Anurag Mittal and Larry S. Davis, Constraint Integration for Efficient Multiview Pose Estimation with Self-Occlusions, IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(3), March 2008, pp. 493-506.  (PDF)
  • Abhinav Gupta, Trista Chen, Francine Chen, Don Kimber and Larry S. Davis, Context and Observation Driven Latent Variable Model for Human Pose Estimation, In CVPR 2008. (PDF)

2004-2007

  • Abhinav Gupta, Anurag Mittal and Larry S. Davis, COST*: An Approach for Camera Selection and Multi-Object Inference Ordering in Dynamic Scenes, In ICCV 2007 (PDF)
  • Abhinav Gupta and Larry S. Davis, Objects in Action:An Approach for Combining Action Understanding and Object Perception, In CVPR 2007 (PDF)
  • Abhinav Gupta, Anurag Mittal and Larry S. Davis, Constraint Integration for Multiview Pose Estimation of Humans with Self-Occlusions, 3DPVT 2006 (PDF)
  • Abhinav Gupta, V. Shiv Naga Prasad and Larry S. Davis, Extracting Regions of Symmetry, 133-136, ICIP 2005, Genova, Italy (PDF)
  • Ashutosh Saxena, Abhinav Gupta and Amitabha Mukerjee, Non-Linear Dimensionality Reduction by Locally Linear Isomaps, ICONIP 2004, Published in Lecture Notes in Computer Science (PDF)