Experience

 

Notable Achievements and Awards

  • Best Student Paper Honorable Mention award at CVPR’23.
  • Best Paper Honorable Mention award at CVPR’18.
  • Nvidia Pioneering Research Award, 2018.
  • Summa cum laude (highest honors) from the University of Tübingen for my PhD dissertation.
  • Outstanding Reviewer Awards at CVPR'19, CVPR’18, CVPR’17 and ECCV’16.
  • Gold Medal for being first in my B.Tech. (out of around 180 students) at IIIT-Hyderabad.
  • Member of Doctoral Consortium at CVPR'16.
  • Prestigious Pratibha Scholarship given by the state government of Andhra Pradesh, India.
  • All India Rank of 121 (out of over 700K students) in AIEEE'05 and State Rank of 306 (out of over 150K students) in EAMCET'05.
  • Scholarships from CBSE, national and state governments of India for my academic achievements.
  • One of the 50 finalists from all over the India for Reliance-Stanford scholarship 2011.
  • A member of 100-member Youth delegation to China in 2009 organized by the Ministry of Youth affairs and Sports, India.

 

Academic Services

  • Meta-Reviewer: CVPR'20, BMVC'21, AAAI'21, IJCAI'21, BMVC'22, WACV'23, AAAI'23, CVPR'23, BMVC'23, NeurIPS'23, WACV'24, CVPR'24, ICLR'24, ECCV'24, ICML'24, BMVC'24, NeurIPS'24.
  • Reviewer: I serve as a reviewer for the following conferences and journals: CVPR, NIPS, ICCV, ECCV, PAMI, SIGGRAPH Asia, NSF review panel
  • I received Outstanding Reviewer awards at CVPR'19, CVPR'18, CVPR'17 and ECCV'16
  • PhD Thesis Committee: Zezhou Cheng (UMass, 2023), Chun-Han Yao (UCMerced, 2023)

 

Talks

  • Keynote talk on 'Adapting Image and Video Generative Models for 3D Generation' at CVPR'24 workshop on AI for 3D Generation, June, 2024.
  • Keynote talk on 'Reconstructing 3D animals from 2D internet image collections' at CVPR'24 workshop on CV4Animals, June, 2024.
  • Invited talk on '3D of Everything from internet image collections' at ICCV'23 tutorial on Learning with Noisy and Unlabeled Data, October, 2023.
  • Guest lecture on '3D from Internet Image Collections' in Deep Learning course, Northeastern University, MA, April, 2023.
  • Talk on 'Publishing in top vision conferences' at Summer school on AI at IIIT-Hyderabad, August, 2022.
  • Talk at 3D Vision Summer school at IIIT-Hyderabad, May, 2022.
  • Practical 3D object understanding from image collections and videos, University of Massachusetts, Amherst, February, 2022.
  • Guest lecture in 'Advanced Vision' course, University of Edinburgh, February, 2022.
  • Guest lecture in 'Advanced Topics in Computer Vision' course, UC Merced, September, 2021.
  • Talk at Summer school on AI at IIIT-Hyderabad, August, 2021.
  • Guest lecture in 'Advanced Topics in Computer Vision' course, UC Merced, October, 2020.
  • Self-Supervised Part and Viewpoint discovery from Image Collections, ECCV Tutorial, August, 2020.
  • Content-Adaptive Convolutional Neural Networks, SPCOM, IISc, Bangalore, July, 2020.
  • Sparse High-Dimensional Neural Networks, Machine Intelligence Conference, MIT, Boston, November, 2018.
  • Bilateral Neural Networks for Image, Video and 3D Vision, University of Massachusetts, Amherst, October, 2017.
  • Learning Bilateral Information Propagation across Pixels, Nvidia Research, Santa Clara, June, 2016.
  • Learning to Propagate Information across Pixels, Microsoft Research, Redmond, April, 2016.
  • Primed Message Passing for Layered Graphical Models, Microsoft Research, Cambridge, October, 2014.
  • Inverting Graphic Engines using Informed Samplers, IIIT-Hyderabad, Hyderabad, December, 2013.

 

Education

(Jan’13 – July ’17)

Max-Planck Institute for Intelligent Systems and University of Tübingen, Tübingen, Germany

Doctor of Philosophy (PhD) in computer vision and machine learning (Grade: summa cum laude)

Thesis Title: Learning Inference Models for Computer Vision

Advisor: Prof. Peter V. Gehler

 

(July’09 - Dec ’12)

International Institute of Information Technology, Hyderabad (IIIT-H), India

Master of Science (MS) by Research in computer sciences

Thesis Title: A Study of X-ray Image Perception for Pneumoconiosis Diagnosis

Advisors: Prof. Jayanthi Sivaswamy and Prof. Bipin Indurkhya

 

(July ’05 – May ’09)

International Institute of Information Technology, Hyderabad (IIIT-H), India

Bachelor of Technology (BTech) with Honours in computer sciences (CGPA: 9.68/10.0)

Gold Medalist and member of Dean’s list for all the semesters

 

Work Experience

Research

  • Stability AI, USA
    • VP Research (August’24 – Till date)
    • Lead Researcher (November’23 – August’24)
    • Image, Video and 3D Generative Models.
  • Google Research, Cambridge, MA, USA
    • Senior Research Scientist (October’21 – October’23)
    • Research Scientist (July’19 – October’21)
    • 3D reconstruction and generation from internet imagery.
  • Nvidia Research, Westford, MA, USA
    • Research Scientist (July’17 – July’19)
    • Learning techniques for computer vision applications.
  • Microsoft Research, Cambridge, UK
    • Research Intern (July’14 – Oct’14)
    • Consensus message passing technique for making infer.NET viable for solving vision problems.
  • Max Planck Institute for Intelligent Systems, Tübingen, Germany
    • Visiting Researcher (July’12 – Oct’12)
    • Explored different ways of white balancing an image illuminated with multiple colored light sources.
  • Microsoft Research, Redmond, USA
    • Research Intern (Aug’09 – Oct’09)
    • Developed novel interfaces for web image search results using Silverlight.
  • Microsoft Advanced Technology Labs, Cairo, Egypt
    • Research Assistant (April’12 – July’12)
    • Developed an image classification system to index web images.
  • GE Global Research, Bengaluru, India
    • Research Intern (May’09 – July’09)
    • Analyzed experimental data for our perception studies on Pneumoconiosis diagnosis.
  • Cognitive Sciences Lab, IIIT-Hyderabad, Hyderabad, India
    • Research Assistant (July’08 – Dec’08)
    • Did experiments to test the usability of different pages on a famous Indian web portal.

Software Development

  • Crypsis Technologies, Hyderabad, India
    • Software Development Engineer (Aug ’11 – Feb ’12)
    • Developed a web browser based service for mobile website testing using Objective C, Ruby etc…
  • Medical Imaging Solutions, Hyderabad, India
    • Software Development Engineer (Dec ’10 – March ’11)
    • Developed a DICOM communications and download monitor tool using QT-C++

Teaching Experience

  • IIIT-Hyderabad, Hyderabad, India
    • Teaching Assistant for Computer Vision, Maths-1 and Maths-2 courses
    • Involved in conducting tutorial sessions, problem solving sessions and some mid-term exams
  • Tibetan Children’s Village, Dharamsala, India
    • Volunteer Teacher (Sept’10 – July’11)
    • Taught Mathematics, Physics and Biology for class-IX, X and XI students