Publications

Refer to my Google Scholar page for a more up-to-date list of publications.

 

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, CVPR'25, ICCV'25, NeurIPS'25, CVPR'26, ICLR'26.
• 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 talks on 'Diffusion Dialed In: Light and Heavy Adaptations of Diffusion Models for Complex Vision Tasks' at CVPR'25 Workshops on SyntaGen and Visual Generative Modeling: What's after diffusion, June, 2025.
• Invited talk on 'A Tale of Two Directions for 3D Generative Models', UIUC, December, 2024.
• Guest lecture in Advanced Topics in Computer Vision, University of California, Merced, December, 2024.
• Guest lecture on 'A Tale of Two Directions for 3D Generative Models' in Frontier Topics in Generative AI, Arizona State University, MA, October, 2024.
• Invited talk on 'Thinking Fast and Slow: Recent Trends in 3D Generative Models' at ECCV'24 Tutorial on Efficient Generative AI Tutorial, October, 2024.
• Keynote talk on 'Instance-Specific 2D and 3D Generation' at ECCV'24 workshop on Instance-Level Recognition Workshop, October, 2024.
• 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

• Arcade AI, USA
  • Chief AI Officer(October’25 – till date)
  • Generative Product Design.
• Stability AI, USA
  • VP Research (August’24 – October’25)
  • 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