Phone: 412-268-2067 (email is the best option to reach me)
Email : abhinavg [at] cs [dot] cmu [dot] edu
- Back full-time at CMU starting May 2022.
- Best paper award at ICRA22 Workshop - Scaling Robot Learning.
- Awarded 2020 JK Aggarwal Prize for contributions to self-supervised learning
- Awarded ONR Young Investigator Award 2018
- Awarded Okawa Research Grant
- Seven papers accepted in ICCV 2017
- Eight papers accepted in CVPR 2017
- Eight papers accepted in ECCV 2016
- Awarded PAMI Young Researcher Award
- Awarded ICRA Best Student Paper Award 2016
- IJCAI Early Career Spotlight 2016
- Awarded Sloan Fellowship.
- NEIL appears in a Discover Magazine article.
- Invited as panelist at Council on Foreign Relations
- NEIL selected as CNN Top 10 Ideas of 2013.
- Invited Speaker at Aspen Ideas Festival
- Unnat Jain (Postdoc)
- Aravind Rajeswaran
- Sudeep Dasari(Robotics PhD)
- Shikhar Bahl(Robotics PhD, co-advised with Deepak Pathak)
- Yufei Ye(Robotics PhD, co-advised with Shubham Tulsiani)
- Raunaq Bhirangi(Robotics PhD, co-advised with Carmel Majidi)
- Homanga Bharadwaj(Robotics PhD, co-advised with Shubham Tulsiani)
- David Fouhey PhD 2016, NSF fellow, NDSEG Fellow (now Asst Professor at U Michigan)
- Carl Doersch PhD 2016, NDSEG Fellow, Google Fellowship (now Research Scientist at Google DeepMind)
- Abhinav Shrivastava PhD 2017, MSR Fellow (now Asst. Professor at U. Maryland)
- Xinlei Chen PhD 2018, Yahoo Fellow (now Research Scientist at Facebook AI Research)
- Jacob Walker PhD 2018 (now Research Scientist at Google DeepMind)
- Ishan Misra PhD 2018 (now Research Scientist at Facebook AI Research)
- Xiaolong Wang PhD 2019, Facebook Fellow (now Asst. Professor at UCSD)
- Lerrel Pinto PhD 2019 (now Asst. Professor at NYU)
- Gunnar Sigurdsson PhD 2020 (now Research Scientist at Amazon AI)
- Kenneth Marino PhD 2020, NDSEG Fellow (now RS at Google Deepmind)
- Adithya Murali PhD 2020, Uber Fellow (now Research Scientist at NVidia Research, Seattle)
- Senthil Purushwalkam PhD 2021 (now Research Scientist at Salesforce)
- Victoria Dean NSF and Hertz Fellow, PhD 2023 (now Asst Prof at Olin)
- Samantha Powers PhD 2023, Presidential Fellowship
- Olga Russakovsky (now Asst. Professor at Princeton)
- Yin Li (now Asst. Professor at U Wisconsin)
- Saurabh Gupta (now Asst. Professor at UIUC)
- Shubham Tulsiani (now Asst. Professor at CMU)
- Simone Parisi
- Tess Hellebrekers (now Research Scientist at Meta AI)
- Pedro Morgado (now Asst. Professor at UWisc Madison)
- Dhiraj Gandhi(now Research Engineer at Facebook AI Research)
- Tian Ye (now Software Engineer at Google)
- Nilesh Kulkarni(now PhD Student at U Michigan)
- Tao Chen (now PhD Student at MIT)
- Wenxuan Zhou(now PhD Student at CMU)
- Nadine Chang (now PhD Student at CMU)
- Rohit Girdhar (now Research Scientist at Facebook AI Research)
- Aayush Bansal (now PhD Student at CMU)
- Saurabh Singh (Robotics MS, now PhD Student at UIUC)
- Aravindh Mahendran (Research Staff, now PhD student at Oxford)
- 16-824: Visual Learning and Recognition (Spring 2020)
- 16-824: Visual Learning and Recognition (Spring 2019)
- 16-824: Visual Learning and Recognition (Spring 2017)
- 16-899:Advanced Techniques in Visual Recognition
- 16-824: Visual Learning and Recognition (Spring 2016)
- 16-627: MSCV Seminar (Fall 2015)
- 16-824: Visual Learning and Recognition (Spring 2015)
- 16-899D: Big Data Approaches in Computer Vision (Fall 2014)
- 16-720: Computer Vision (Fall 2014)(co-taught w. M. Hebert)
- 16-899A:The Visual World as seen by the Neurons and Machines (Spring 2014)
- 16-824 Learning-Based Methods in Vision (Fall 2013)
- Self-Supervised Grasping and Curious Robot
- Never Ending Image Learner (NEIL)
- What makes Paris look like Paris?
- Data Driven Visual Similarity
- Blocks World Revisited
- Storylines
.........
(Please see Publications for a complete list)
(Please see Downloads for code and datasets)
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Lerrel Pinto, Dhiraj Gandhi, Yuanfeng Han, Yong-Lae Park and Abhinav Gupta. The Curious Robot: Learning Visual Representations via Physical Interactions. ECCV 2016.
(Spotlight)
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R. Girdhar, D. Fouhey, M. Rodriguez, A. Gupta. Learning a Predictable and Generative Vector Representation for Objects. ECCV 2016.
(Spotlight)
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Xiaolong Wang and Abhinav Gupta. Generative Image Modeling using Style and Structure Adversarial Networks. ECCV 2016.
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Abhinav Shrivastava, Abhinav Gupta. Contextual Priming and Feedback for Faster R-CNN. ECCV 2016.
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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.
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J Walker, C Doersch, A Gupta, M Hebert. An Uncertain Future: Forecasting from Static Images Using Variational Autoencoders. ECCV 2016.
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Roozbeh Mottaghi, Mohammad Rastegari, Abhinav Gupta, Ali Farhadi. "What happens if..." Learning to Predict the Effect of Forces in Images. ECCV 2016.
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Gunnar A. Sigurdsson, Xinlei Chen, Abhinav Gupta, "Learning Visual Storylines with Skipping Recurrent Neural Networks", ECCV 2016.
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Lerrel Pinto and Abhinav Gupta. Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours. ICRA 2016.
(Best Student Paper Award)
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D. Fouhey, A. Gupta, A. Zisserman. 3D Shape Attributes. CVPR 2016.
(Oral)
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Abhinav Shrivastava, Abhinav Gupta, Ross Girshick. Training Region-based Object Detectors with Online Hard Example Mining. CVPR 2016
(Oral)
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Xiaolong Wang, Ali Farhadi, and Abhinav Gupta. Actions ~ Transformations. CVPR 2016.
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Aayush Bansal, Bryan Russell, Abhinav Gupta. Marr Revisited: 2D-3D Alignment via Surface Normal Prediction. CVPR 2016.
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Ishan Misra*, Abhinav Shrivastava*, Abhinav Gupta, Martial Hebert. Cross-stitch Networks for Multi-task Learning. CVPR 2016
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 | 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.
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 | 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) |
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David Fouhey, Abhinav Gupta and Martial Hebert. Data-Driven 3D Primitives for Single Image Understanding. In ICCV 2013 |
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Abhinav Shrivastava and Abhinav Gupta. Building Part-based Object Detectors via 3D Geometry. In ICCV 2013 |
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Carl Doersch, Abhinav Gupta and Alexei Efros. Mid-level Visual Element Discovery as Discriminative Mode Seeking. In NIPS 2013 |
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Arpit Jain, Abhinav Gupta, Mikel Rodriguez and Larry S. Davis. Representing Videos using Mid-level Discriminative Patches. In CVPR 2013. |
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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) |
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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. |
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Carl Doersch, Saurabh Singh, Abhinav Gupta, Josef Sivic, Alexei A. Efros. What makes Paris look like Paris? In SIGGRAPH 2012. (Oral) |
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Abhinav
Shrivastava, Tomasz Malisiewicz, Abhinav Gupta, Alexei A. Efros,
Data-driven Visual Similarity for Cross-domain Image Matching, In
SIGGRAPH Asia 2011 |
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Tomasz Malisiewicz, Abhinav Gupta, Alexei A. Efros, Ensemble of Exemplar-SVMs for Object Detection and Beyond, In ICCV 2011. Source code (beta version) available |
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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 |
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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 |
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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 |
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Behjat
Siddiquie and Abhinav Gupta, Beyond Active Noun Tagging: Modeling
Contextual Interactions for Multi-Class Active Learning, In CVPR 2010. (Oral) |
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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 Review and SiliconIndia. |
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Abhinav
Gupta and Larry S. Davis, Beyond Nouns: Exploiting prepositions and
comparative adjectives for learning visual classifiers, In ECCV 2008 (Oral) |
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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 |
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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) |
- Office of Naval Research: High Level MURI, ONR Applied Research
- NSF: IIS 1320083
- IARPA: ALADDIN Video
- Google: focused award (2011), faculty research awards (2012, 2014)
- Bosch Research & Technology Center: Bosch Young Faculty Fellowship 2014, Gift Award 2013
- YAHOO!: Cluster for NEIL, InMind
- HighMark Grant
- MITRE
- DARPA Memex Program