Anand Mishra, PhD
CSE-210, Department of Computer Science and Engineering
Indian Institute of Technology Jodhpur
Jodhpur - 342037 (RJ), India

I am an Assistant Professor at the Department of Computer Science and Engineering of the Indian Institute of Technology Jodhpur. Previously, I worked with Dr. Partha Pratim Talukdar and Dr. Anirban Chakraborty at the Indian Institute of Science for nearly two years on Knowledge-aware Computer Vision. I did my PhD working under supervision of Prof. C. V. Jawahar and Dr. Karteek Alahari on understanding text in scene images at IIIT Hyderabad. At IIIT, I was a recipient of Microsoft Research India PhD fellowship 2012 and XRCI best doctoral dissertation award: first runner up 2015.

My current research interest spans Computer Vision, Language and Knowledge Graphs. To be specific, I focus on developing AI models that have the ability to acquire world and commonsense knowledge and use that knowledge to reason about the visual world and address fundamental vision tasks.

Email | CV | Google Scholar | DBLP | Selected Publications | Teaching | VL2G


Recent/upcoming professional activities:

  • Reviewer and/or PC member for: ICLR 2023, ECCV 2020/2022, CVPR 2020/2022/2023, AAAI 2020/2021/2022, ICCV 2019/2021, IJCAI 2019/2020, ICDAR 2019, NCVPRIPG 2019, IEEE TPAMI, IJCV, IEEE TKDD, CVIU, IJDAR, Pattern Recognition.
  • Co-organizer: ICFHR 2022 (Workshop Co-Chair), 5th Workshop on Document Analysis and Recognition in conjunction with ICVGIP 2021, Workshop on Knwoledge Bases and Multiple Modalities (KBMM) under AKBC 2019/2020.

    • News/Activities (A complete list is here)

    Selected Publications

    Journals

    • DHFML: deep heterogeneous feature metric learning for matching photograph and cartoon pairs
      Anand Mishra
      pages: 1-8, International Journal of Multimedia Information Retrieval 2018
      [Link][bibtex]

    • Unsupervised refinement of color and stroke features for text binarization
      Anand Mishra, Karteek Alahari and C. V. Jawahar
      Volume 20:105–121, International Journal on Document Analysis and Recognition 2017
      [PDF][bibtex]

    • Enhancing Energy Minimization Framework for Scene Text Recognition with Top-Down Cues
      Anand Mishra, Karteek Alahari and C. V. Jawahar
      Volume 145: 30-42, Computer Vision and Image Understanding 2016
      [PDF][bibtex]

    Conference Papers

  • Grounding Scene Graphs on Natural Images via Visio-Lingual Message Passing (NEW)
    Aditay Tripathi, Anand Mishra, Anirban Chakraborty,
    WACV 2023.
    [Paper][Project Page][Code]

  • VISTOT: Vision-Augmented Table-to-Text Generation, (NEW)
    Prajwal Gatti, Anand Mishra, Manish Gupta, Mithun Das Gupta,
    EMNLP 2022.
    [Paper][Project Page][Code]

  • COFAR: Commonsense and Factual Reasoning in Image Search (NEW)
    Prajwal Gatti, Abhirama Subramanyam Penamakuri, Revant Teotia, Anand Mishra, Shubhashis Sengupta, Roshni Ramnani
    AACL-IJCNLP 2022.
    [Paper][Project Page][Code]

  • Few-shot Visual Relationship Co-localization
    Revant Teotia*, Vaibhav Mishra*, Mayank Maheshwari*, Anand Mishra,
    ICCV 2021.
    [Paper][Project Page][Code] (*: equal contribution)

  • Look, Read and Ask: Learning to Ask Questions by Reading Text in Images ,
    Soumya Jahagirdar, Shankar Gangisetty, Anand Mishra,
    ICDAR 2021 (Oral).
    [Paper]

  • Sketch-Guided Object Localization in Natural Images,
    Aditay Tripathi, Rajath R. Dani, Anand Mishra, Anirban Chakraborty
    ECCV 2020 (Spotlight Presentation).
    [Paper] [bibtex] [Project page][Code] [Know the paper in 90 seconds] [Know the paper in ten minutes]

  • From Strings to Things: Knowledge-enabled VQA model that can read and reason,
    Ajeet Kumar Singh, Anand Mishra, Shashank Shekhar, and Anirban Chakraborty
    ICCV 2019 (oral).
    [Paper] [bibtex] [Project page]

  • OCR-VQA: Visual Question Answering by Reading Text in Images
    Anand Mishra, Shashank Shekhar, Ajeet Kumar Singh, and Anirban Chakraborty
    ICDAR 2019.
    [Paper] [bibtex] [Project page]

  • KVQA: Knowledge-aware Visual Question Answering
    Sanket Shah*, Anand Mishra*, Naganand Yadati and Partha Pratim Talukdar
    (*: equal contribution) AAAI 2019. (acceptance rate: 16.1%)
    [Paper] [bibtex] [Project page]

  • Deep Embedding using Bayesian Risk Minimization with Application to Sketch Recognition
    Anand Mishra,and Ajeet Kumar Singh
    ACCV, 2018. (acceptance rate: 28%)
    [Paper (arXiv)] [bibtex]

  • IIIT-CFW: A Benchmark database of Cartoon Faces in the Wild
    Ashutosh Mishra, Shyam N. Roy, Anand Mishra,and C. V. Jawahar
    ECCVW, 2016. (Oral)
    [PDF] [bibtex][ IIIT-CFW dataset]

  • A Simple and Effective method for Script Identification in the Wild
    Ajeet Kumar Singh, Anand Mishra, Pranav Dabaral and C. V. Jawahar
    DAS, 2016.
    [Paper] [bibtex]

  • Scene Text Recognition and Retrieval for Large Lexicons
    Udit Roy, Anand Mishra, Karteek Alhari and C. V. Jawahar
    ACCV 2014.
    [Paper] [bibtex]

  • Image Retrieval using Textual Cues
    Anand Mishra, Karteek Alhari and C. V. Jawahar
    ICCV, 2013.
    [Paper] [bibtex]

  • Whole is Greater than Sum of Parts: Recognizing Scene Text Words
    Vibhor Goel, Anand Mishra, Karteek Alhari and C. V. Jawahar
    ICDAR, 2013.
    [Paper] [bibtex]

  • Scene Text Recognition using Higher Order Language Priors
    Anand Mishra, Karteek Alhari and C. V. Jawahar
    BMVC 2012. (Oral)
    [Paper] [bibtex] [ IIIT-5K Word dataset]

  • Top-down and Bottom-up cues for Scene Text Recognition
    Anand Mishra, Karteek Alhari and C. V. Jawahar
    CVPR 2012.
    [Paper] [bibtex]

  • An MRF model for Binarization of Natural Scene Text
    Anand Mishra, Karteek Alhari and C. V. Jawahar
    ICDAR 2011. (Oral)
    [Paper] [bibtex]

    • Teaching

    (CSL7360) -- Computer Vision

    • At Indian Institute of Technology Jodhpur.
    • Elective course (class strength: 57)

    (CSL2040) -- Maths for Computing, AY2022-2023 (Semester-1)

    • At Indian Institute of Technology Jodhpur.
    • UG course (class strength: 154)

    (CSL7410) -- Graph Theory and Application, AY2021-2022 (Semester-2)

    • At Indian Institute of Technology Jodhpur.
    • Graduate-level course (class strength: 65)
    • Website: https://sites.google.com/iitj.ac.in/gta-2iit-j/home

    (CSL2040) -- Maths for Computing, AY2021-2022 (Semester-1)

    • At Indian Institute of Technology Jodhpur.
    • UG course (class strength: 153)

    (CSL2040) -- Maths for Computing, AY2020-T-3

    • At Indian Institute of Technology Jodhpur.
    • UG course (class strength: 113)
    • Website: https://sites.google.com/iitj.ac.in/m4c/

    (CSL7410) -- Graph Theory and Application, AY2020-T-1

    • At Indian Institute of Technology Jodhpur.
    • Graduate-level course (class strength: 78)

    (CS222) -- Theory of Computations, Spring 2020

    • At Indian Institute of Technology Jodhpur.
    • UG course (class strength: 68)
    • Website: https://sites.google.com/iitj.ac.in/tociit-j/

    (CS212) -- Object-oriented Design and Analysis, Monsoon 2019

    • At Indian Institute of Technology Jodhpur.
    • UG course (class strength: 71)
    • Website: https://sites.google.com/view/ooadiitj/home

    Algorithms and Programming (UE101) -- Monsoon 2018

    • Co-taught at Indian Institute of Science with Dr. Sathish Govindrajan and Dr. Viraj Kumar.
    • Introductory UG course (class strength: 120)

    Computer Problem Solving -- Monsoon 2016

    • Taught at IIIT Hyderabad
    • Introductory course for M.Tech. Bioinformatics (class strength: 48)

    Computer Architecture (selected topics) -- Spring 2015

    • Co-taught at IIIT Sricity as visiting instructor with Dr. Suresh Purini and Prof. Govindrajulu
    • Introductory UG course (class strength: 60)

    Operating Systems -- Monsoon 2014

    • Co-taught at IIIT Sricity as visiting instructor with Dr. Suresh Purini
    • Introductory UG course (class strength: 60)

    Computer Vision -- Spring 2014/2011

    • Teaching assistant with Prof. C. V. Jawahar
    • Graduate-level course at IIIT Hyderabad

    Stastical Methods in AI -- Monsoon 2013

    • Teaching assistant with Dr. Anoop M.
    • Graduate-level course at IIIT Hyderabad