⭐️ [June 2018] !NEW! ♨️ ♨️ Successfully defended my thesis. My slides are available on dropbox.

⭐️ [June 2018] !NEW! ♨️ ♨️ Published the Image Riddles code for public use that was used in UAI-18 work. Visit Github.

⭐️ [June 2018] !NEW! ♨️ ♨️ Published the PSL engine code for public use that was used in AAAI-18 work. Visit Github.

⭐️ [May 2018] !NEW! ♨️ ♨️ Our paper on Image Riddles is accepted in UAI 2018 (30% acceptance rate).

⭐️ [May 2018] !NEW! ♨️ ♨️ Invited as a reviewer in Robotics and Autonomus Systems journal.

⭐️ [May 2018] Our Website for KR-2018 workshop is live! Please consider submitting to the workshop.

⭐️ [Mar 2018] We are organizing the first workshop on "Induce and Deduce: Integrating learning of representations and models with deductive, explainable reasoning that leverages knowledge" in KR 2018 (Phoenix, 27-29 Oct). Website coming soon!

⭐️ [Mar 2018] I am awarded the University Graduate Fellowship for Spring 2018 for the third time. Thank you ASU, CIDSE!

⭐️ [Feb 2018] Presented our work on "Explicit Reasoning over End-to-End Neural Architectures" in AAAI 2018.

⭐️ [Jan 2018] Presented our work on "Explicit Reasoning over End-to-End Neural Architectures" in ASU SouthWest Robotics Symposium. The work was nominated for Best Abstract award.

⭐️ [Dec 2017] Our accepted manuscript in CVIU is now available online: "Image Understanding using Vision and Reasoning through Scene Description Graph"

⭐️ [Dec 2017] Our work "Image Understanding using Vision and Reasoning through Scene Description Graph" has been accepted in the reputed Computer Vision and Image Understanding (CVIU) journal.

⭐️ [Nov 2017] Our Work on Explicit Reasoning over End-To-End Neural Architectures has been accepted in AAAI 2018 (Acceptance Rate: 24.5%, 933 accepted out of 3.8k).

⭐️ [Nov 2017] Vision and Reasoning Website is live.

⭐️ [Oct 2017] Invited as a reviewer for The Visual Computer journal.

⭐️ [July 2017] Work on Image Riddles accepted as Extended Abstract on Vision Meets Cognition Workshop, CVPR 2017.

⭐️ [May 2017] Thesis proposal accepted, and officially advanced to candidacy.

⭐️ [May 2017] Joined JDE, Verisk Analytics as Cognitive Analytics and Machine Learning Research Intern, under Dr. Maneesh Singh, Director, JDE, Cognitive Analytics.

⭐️ [May 2017] Unofficially a Ph.D. Candidate, after successfully defending my proposal on "Knowledge and Reasoning in Image Understanding".

⭐️ [May 2017] Invited as a review-assistant for IJCAI 2017.

⭐️ [March 2017] Awarded University Graduate Fellowship for Spring 2017 from ASU, for the third time.

⭐️ [Feb 2017] Attended AAAI-2017 (DC and the main Conference). Great to know that people are interested in Vision and Reasoning approaches. Here is the poster I presented at the main conference.

Selected Publications

In CVIU 2017

In arXiv preprint arXiv:1611.05896

In ACS, 2016

In arXiv preprint arXiv:1511.03292

In AAAI Spring Symposium, 2015

Recent Publications

Search Publications


Solving Visual QA using Reasoning and Deep Learning

In this work, we propose an exlicit reasoning layer over Deep Neural Architectures to solve VQA. external_link.

Solving Image Puzzles

In this work, we propose image puzzles that require background knowledge to solve. This project is also aimed to advocates logically interpretable systems. external_link.

From Images to Sentences

In this project, we aim to achieve a deeper understanding of images and videos with the help of background or common-sense knowledge. Our motivation is the way a human interprets images and videos, breaks them down in few important constituent parts, can reason about them, detect complex activities etc. external_link.

K-Parser: A Knowledge Parser

We build a semantic parser to extract semantic knowledge from natural language sentences. external_link.


  • Image Riddles code for UAI 2018 paper (Gihub Link)
  • PSL engine used for AAAI 2018 work (Gihub Link)
  • K-Parser (First Author- Arpit Sharma), used in IJCAI-15 work (Online Demo)

Teaching and Mentoring

I have served as a teaching assistant for the following courses at Arizona State University:

  • CSE-576 Natural Language Processing, Fall 2015 and Fall 2016
    • Responsibilities included: Creating Homework assignments, proposing class projects, and mentoring multiple groups.
  • CSE-471 Introduction To Artificial Intelligence, Spring 2016
  • CSE-310 Data Structures and Algorithms, Spring 2015

I mentored and collaborated with the following Masters Students:

  • Rudra Saha (2017 – 2018), MS Student, Computer Science, ASU
    • Spatial Knowledge Distillation to aid Visual Reasoning
  • Divyanshu Bandil (2016 – 2017), Graduated MS Student, Computer Engineering. linkedin profile
    • Visual Question Categorization.
    • Visual Question Answering in Dynamic Environments
  • Trideep Rath (2015 – 2017), Graduated, MS, Computer Science, ASU. Currently Data Scientist, Kayak


Research & Development groups

  • BioAI lab, Arizona State University
  • Active Perception Group, Arizona State University (Closely Affiliated with)
  • Perception and Robotics Group, UMIACS, University of Maryland, College Park (closely collaborated with Prof. Yiannis Aloimonos, Dr. Cornelia Fermuller on several projects)

Industrial Organizations