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 Google Scholar | Semantic Scholar | LinkedIn

News

Feb 2018	3 papers accepted to CVPR 2018.
Jan 2018	Computer Vision @ AI2 is looking for interns for Summer 2018. Apply here.

Research

		Imagine This! Scripts to Compositions to Videos Tanmay Gupta, Dustin Schwenk, Ali Farhadi, Derek Hoiem, Aniruddha Kembhavi arXiv preprint 2018 PDF | Video
		IQA: Visual Question Answering in Interactive Environments Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox, Ali Farhadi Computer Vision and Pattern Recognition (CVPR) 2018 PDF | Video
		Structured Set Matching Networks for One-Shot Part Labeling Jonghyun Choi, Jayant Krishnamurthy, Aniruddha Kembhavi, Ali Farhadi Computer Vision and Pattern Recognition (CVPR) 2018  [Spotlight] PDF | Project Page
		Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering Aishwarya Agrawal, Dhruv Batra, Devi Parikh, Aniruddha Kembhavi Computer Vision and Pattern Recognition (CVPR) 2018 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] PDF