Abhinav Gupta Homepage (original) (raw)

Selected Projects
(Please see Publications for a complete list)
(Please see Downloads for code and datasets)

	Lerrel Pinto, Dhiraj Gandhi, Yuanfeng Han, Yong-Lae Park and Abhinav Gupta. The Curious Robot: Learning Visual Representations via Physical Interactions. ECCV 2016.(Spotlight)
	R. Girdhar, D. Fouhey, M. Rodriguez, A. Gupta. Learning a Predictable and Generative Vector Representation for Objects. ECCV 2016.(Spotlight)
	Xiaolong Wang and Abhinav Gupta. Generative Image Modeling using Style and Structure Adversarial Networks. ECCV 2016.
	Abhinav Shrivastava, Abhinav Gupta. Contextual Priming and Feedback for Faster R-CNN. ECCV 2016.
	Gunnar A. Sigurdsson, G�l Varol, Xiaolong Wang, Ivan Laptev, Ali Farhadi, Abhinav Gupta. Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding. ECCV 2016.
	J Walker, C Doersch, A Gupta, M Hebert. An Uncertain Future: Forecasting from Static Images Using Variational Autoencoders. ECCV 2016.
	Roozbeh Mottaghi, Mohammad Rastegari, Abhinav Gupta, Ali Farhadi. "What happens if..." Learning to Predict the Effect of Forces in Images. ECCV 2016.
	Gunnar A. Sigurdsson, Xinlei Chen, Abhinav Gupta, "Learning Visual Storylines with Skipping Recurrent Neural Networks", ECCV 2016.
	Lerrel Pinto and Abhinav Gupta. Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours. ICRA 2016.(Best Student Paper Award)
	D. Fouhey, A. Gupta, A. Zisserman. 3D Shape Attributes. CVPR 2016.(Oral)
	Abhinav Shrivastava, Abhinav Gupta, Ross Girshick. Training Region-based Object Detectors with Online Hard Example Mining. CVPR 2016(Oral)
	Xiaolong Wang, Ali Farhadi, and Abhinav Gupta. Actions ~ Transformations. CVPR 2016.
	Aayush Bansal, Bryan Russell, Abhinav Gupta. Marr Revisited: 2D-3D Alignment via Surface Normal Prediction. CVPR 2016.
	Ishan Misra*, Abhinav Shrivastava*, Abhinav Gupta, Martial Hebert. Cross-stitch Networks for Multi-task Learning. CVPR 2016
	Carl Doersch, Abhinav Gupta, Alexei Efros. Unsupervised Visual Representation Learning by Context Prediction. ICCV 2015.(Oral)
	Xiaolong Wang, Abhinav Gupta. Unsupervised Learning of Visual Representations using Videos. ICCV 2015.(Models and Code available for download!)
	Xinlei Chen, Abhinav Gupta. Webly Supervised Learning of Convolutional Networks. ICCV 2015.(Oral)
	David Fouhey, Abhinav Gupta, Martial Hebert. Single Image 3D without a Single 3D Image. ICCV 2015.
	Jacob Walker, Abhinav Gupta, Martial Hebert. Dense Optical Flow Prediction from a Static Image. ICCV 2015.
	Xiaolong Wang, David Fouhey, Abhinav Gupta. Designing Deep Networks for Surface Normal Estimation. CVPR 2015.(Models and Code available on request!)
	Xinlei Chen, Alan Ritter, Abhinav Gupta, Tom Mitchell. Sense Discovery via Co-Clustering on Images and Text. CVPR 2015.
	David F. Fouhey, Abhinav Gupta, Martial Hebert. Unfolding an Indoor Origami World. ECCV 2014.(Oral)
	Carl Doersch, Abhinav Gupta, and Alexei A. Efros. Context as Supervisory Signal: Discovering Objects with Predictable Context. ECCV 2014.
	Jacob Walker, Abhinav Gupta, and Martial Hebert.Patch to the Future: Unsupervised Visual Prediction. CVPR 2014.(Oral)
	Xinlei Chen, Abhinav Shrivastava and Abhinav Gupta. Enriching Visual Knowledge Bases via Object Discovery and Segmentation. In CVPR 2014.
	Xinlei Chen, Abhinav Shrivastava and Abhinav Gupta. NEIL: Extracting Visual Knowledge from Web Data. In ICCV 2013.(Oral)
	David Fouhey, Abhinav Gupta and Martial Hebert. Data-Driven 3D Primitives for Single Image Understanding. In ICCV 2013
	Abhinav Shrivastava and Abhinav Gupta. Building Part-based Object Detectors via 3D Geometry. In ICCV 2013
	Carl Doersch, Abhinav Gupta and Alexei Efros. Mid-level Visual Element Discovery as Discriminative Mode Seeking. In NIPS 2013
	Arpit Jain, Abhinav Gupta, Mikel Rodriguez and Larry S. Davis. Representing Videos using Mid-level Discriminative Patches. In CVPR 2013.
	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)
	Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta.Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes. In ECCV 2012.(Oral)
	Saurabh Singh, Abhinav Gupta, Alexei A. Efros. Unsupervised Discovery of Mid-Level Discriminative Patches. In ECCV 2012.
	Vincent Delaitre, David Fouhey, Ivan Laptev, Josef Sivic Abhinav Gupta, Alexei A. Efros. Scene Semantics from Long-term Observation of People. In ECCV 2012.
	Carl Doersch, Saurabh Singh, Abhinav Gupta, Josef Sivic, Alexei A. Efros. What makes Paris look like Paris? In SIGGRAPH 2012. (Oral)
	Abhinav Shrivastava, Tomasz Malisiewicz, Abhinav Gupta, Alexei A. Efros, Data-driven Visual Similarity for Cross-domain Image Matching, In SIGGRAPH Asia 2011
	Tomasz Malisiewicz, Abhinav Gupta, Alexei A. Efros, Ensemble of Exemplar-SVMs for Object Detection and Beyond, In ICCV 2011. Source code (beta version) available
	Abhinav Gupta, Scott Satkin, Alexei A. Efros and M. Hebert, From 3D Scene Geometry to Human Workspace. In CVPR 2011. (Oral) Source code partly available
	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. Source code available
	Abhinav Gupta, Alexei A. Efros and M. Hebert, Blocks World Revisited: Image Understanding Using Qualitative Geometry and Mechanics. In ECCV 2010. (Oral)(Best Paper Runner Up Award) Featured in Science Daily and ZD Net. Source code available
	Behjat Siddiquie and Abhinav Gupta, Beyond Active Noun Tagging: Modeling Contextual Interactions for Multi-Class Active Learning, In CVPR 2010. (Oral)
	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) Featured in an IEEE Spectrum and Discovery article. Also covered in Ethiopian Reviewand SiliconIndia.
	Abhinav Gupta and Larry S. Davis, Beyond Nouns: Exploiting prepositions and comparative adjectives for learning visual classifiers, In ECCV 2008 (Oral)
	Abhinav Gupta, Aniruddha Kembhavi and Larry S. Davis, Observing Human-Object Interactions: Using Spatial and Functional Compatibility for Recognition, In Trans. on PAMI (Special Issue on Probabilistic Graphical Models). Downloads Available: Dataset Abhinav Gupta and Larry S. Davis, Objects in Action: An Approach for Combining Action Understanding and Object Perception, In CVPR 2007 Downloads Available: Dataset
	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)