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
Abhinav Shrivastava, Abhinav Gupta
Building Part-based Object Detectors via 3D Geometry
In International Conference on Computer Vision (ICCV), 2013.
(Details coming soon)
Xinlei Chen, Abhinav Shrivastava, Abhinav Gupta
NEIL: Extracting Visual Knowledge from Web Data
In International Conference on Computer Vision (ICCV), 2013. (Oral Presentation)
(Details coming soon)
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)
pdf 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)
pdf pdf pdf

© 2011 Abhinav Shrivastava. All Rights Reserved.