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I am a Ph.D. student in Computer Science at Princeton University. I am a member of Princeton Vision and Learning Lab, advised by Prof. Jia Deng. I completed my Masters in CSE from University of Michigan and Bachelors in EE from IIT Kanpur. Previously, I have interned at Microsoft Research India with Prateek Jain in Summer 2016 and with Shrikanth Narayanan and Tanaya Guha at USC in Summer 2015. Email / CV / Google Scholar / LinkedIn |
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I am interested in understanding various aspects of intelligence, especially reasoning and common sense. In particular, I want to develop computation models for various reasoning skills that humans possess. |
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We study geometric reasoning in the context of question-answering. We introduce Dynamic Spatial Memory Network (DSMN), a deep network architecture designed for answering questions that admit latent visual representations. |
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C Gupta, AS Suggala, A Goyal, HV Simhadri, BP, AK, SG, RU, MV, P Jain ICML 2017 [code] Prateek Jain, Chirag Gupta, AS Suggala, Ankit Goyal, HV Simhadri US Patent Applicaiton We propose ProtoNN, a novel algorithm that addresses the problem of real-time and accurate prediction on resource-scarce devices. |
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Ankit Goyal, Naveen Kumar, Tanaya Guha, Shrikanth S. Narayanan ICASSP 2016 We address the problem of continuous emotion prediction in movies. We propose a Mixture of Experts (MoE)-based fusion model that dynamically combines information from the audio and video modalities for predicting the emotion evoked in movies. |
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NK Verma, Ankit Goyal, A Harsha Vardhan, Rahul Kumar Sevakula, Al Salour IES 2016 We propose a robust algorithm which is capable of detecting all the instances of a particular object in a scene image using Speeded Up Robust Features. |
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We propose a methodology for object counting using color histogram based segmentation and spatial filters. |
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I have been a Teaching Assistant for the following courses:
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