I am a Ph.D. student in Artificial Intelligence and Robotics at the Robotics Institute, Carnegie Mellon University (CMU). I am working under the supervision of Abhinav Gupta, Alexei (Alyosha) Efros and Martial Hebert. I received my Masters under the supervision of Alexei (Alyosha) Efros and Martial Hebert at the Robotics Institute (end of Fall 2011). My thesis was on Data-driven Visual Similarity for Image Matching.

During summer 2013, I was a Research Intern at Google Research (Mountain View), where I worked on incorporating image geometry in Deep Neural Networks with Mark Segal, Rahul Sukthankar and Thomas Leung. During summer 2012, I was a Research Intern at Microsoft Research (Redmond) working with Sanjeev Mehrotra and Jin Li on Large-scale Indexing and Nearest-Neighbor Search for High-dimensional data points. During Spring 2012, I worked as Research Associate III at the Robotics Institute.

Before coming to CMU, I did Bachelor of Technology (B.Tech.) (undergrad) in Computer Science and Engineering from Jaypee Institute of Information Technology (JIIT), India. My B.Tech. thesis was on A Hypermedia-development Tool for Movie-based Comic-strip Rendering, under the supervision of Prof. Sanjay Goel. Many other projects that I enjoyed working on during my undergrad can be found under Projects.

Curriculum Vitae
(e-mail: ashrivas
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Research Interests

Currently, I am working on data-driven methods for image/scene understanding, object recognition, representation learning and computer graphics, and large-scale Machine Learning techniques applied to such problems.

In general, I enjoy working on problems relating to Artificial Intelligence; more specifically pertaining to Computer Vision, applied Machine Learning, Robotics and their intersection with Computer Graphics. I want to equip robots with visual perception abilities which can enable them to understand, percieve and respond to their surroundings in a better way. Philosophizing intelligence attributed to vision also (deeply) interests me!

Recent Work
Xinlei Chen, Abhinav Shrivastava, Abhinav Gupta
Enriching Visual Knowledge Bases via Object Discovery and Segmentation
In Conference on Computer Vision and Pattern Recognition(CVPR), 2014.
website pdf
Ishan Misra, Abhinav Shrivastava, Martial Hebert
Data-driven Exemplar Model Selection
In IEEE Winter Conference on Applications of Computer Vision (WACV), 2014. (Best Student Paper Award)
website pdf
Abhinav Shrivastava, Abhinav Gupta
Building Part-based Object Detectors via 3D Geometry
In International Conference on Computer Vision (ICCV), 2013.
website pdf
Xinlei Chen, Abhinav Shrivastava, Abhinav Gupta
NEIL: Extracting Visual Knowledge from Web Data
In International Conference on Computer Vision (ICCV), 2013. (Oral Presentation)
website pdf pdf
Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta
Constrained Semi-Supervised Learning using Attributes and Comparative Attributes
In European Conference on Computer Vision (ECCV), 2012. (Oral Presentation)
website pdf pdf
Abhinav Shrivastava, Tomasz Malisiewicz, Abhinav Gupta, Alexei A. Efros
Data-driven Visual Similarity for Cross-domain Image Matching
ACM Transaction of Graphics (TOG), (Proceedings of SIGGRAPH Asia), 2011. (Oral Presentation)
website pdf pdf

© 2011 Abhinav Shrivastava. All Rights Reserved.