Aniruddha (Ani) Kembhavi

I am a research scientist in the computer vision team at the Allen Institute for Artificial Intelligence (AI2) in sunny Seattle. Prior to AI2, I spent five years at Microsoft Bing, building large scale machine learning systems in the Image & Video Search Relevance team.

I grew up in Pune, India where I obtained by Bachelors in Engineering at the College Of Engineering Pune (COEP). I got my Ph.D. at the University of Maryand, College Park under the supervision of Prof. Larry S. Davis.

My research interests include textual and visual question answering, learning through interaction and collaboration and visual reasoning.


Contact: anik [at] allenai [spot] org

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Research

IQA: Visual Question Answering in Interactive Environments

Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox, Ali Farhadi

arXiv Preprint 2017

PDF | Video

Structured Set Matching Networks for One-Shot Part Labeling

Jonghyun Choi, Jayant Krishnamurthy, Aniruddha Kembhavi, Ali Farhadi

arXiv Preprint 2017

PDF | Project Page

Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering

Aishwarya Agrawal, Dhruv Batra, Devi Parikh, Aniruddha Kembhavi

arXiv Preprint 2017

PDF

Are You Smarter Than A Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension

Aniruddha Kembhavi, Minjoon Seo, Dustin Schwenk, Jonghyun Choi, Ali Farhadi, Hannaneh Hajishirzi

Computer Vision and Pattern Recognition (CVPR) 2017 [Spotlight]

PDF | Dataset | Challenge at CVPR 2017

Bidirectional Attention Flow for Machine Comprehension

Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, Hannaneh Hajishirzi

International Conference on Learning Representations (ICLR) 2016

PDF | Project Page | Demo | Code

A diagram is worth a dozen images

Aniruddha Kembhavi, Mike Salvato, Eric Kolve, Minjoon Seo, Hannaneh Hajishirzi, Ali Farhadi

European Conference on Computer Vision (ECCV) 2016

PDF | Dataset

Semantic Parsing to Probabilistic Programs for Situated Question Answering

Jayant Krishnamurthy, Oyvind Tafjord, Aniruddha Kembhavi

Conference on Empirical Methods in Natural Language Processing (EMNLP) 2016 [Oral]

PDF | Code

Vehicle detection using partial least squares

Aniruddha Kembhavi, David Harwood, Larry S Davis

IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 2011

PDF

Why did the person cross the road (there)? scene understanding using probabilistic logic models and common sense reasoning

Aniruddha Kembhavi, Tom Yeh, Larry S Davis

European Conference on Computer Vision (ECCV) 2010

PDF

Observing human-object interactions: Using spatial and functional compatibility for recognition

Abhinav Gupta, Aniruddha Kembhavi, Larry S. Davis

IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 2009

PDF

Human detection using partial least squares analysis

William Robson Schwartz, Aniruddha Kembhavi, Larry S. Davis

International Conference on Computer Vision (ICCV) 2009 [Oral]

PDF

Scene it or not? incremental multiple kernel learning for object detection

Aniruddha Kembhavi, Behjat Siddiquie, Roland Miezianko, Scott McCloskey, Larry S. Davis

International Conference on Computer Vision (ICCV) 2009

PDF

Resource Allocation for Tracking Multiple Targets Using Particle Filters

Aniruddha Kembhavi, William Robson Schwartz, Larry S. Davis

The Eighth International Workshop on Visual Surveillance held in conjunction with ECCV 2008

PDF

Tracking Down Under: Following the Satin Bowerbird

Aniruddha Kembhavi, Ryan Farrell, Yuancheng Luo, David Jacobs, Ramani Duraiswami, Larry S. Davis

Workshop on Applications of Computer Vision (WACV) 2008 [Oral]

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