Kuldeep Kulkarni
I am a research scientist in Adobe Research, Bengaluru, India . Before that I did a post-doc stint at Carnegie Mellon University where I worked with Aswin Sankaranarayanan . I received my PhD in Electrical Engineering from Arizona State University under the supervision of Pavan Turaga . Prior to that, I received my undergraduate degree in Electrical Engineering from the National Institute of Technology Karnataka, Surathkal , India in 2009. I hail from Ilkal , a tiny little town in India, where I spent 18 wonderful years.
News: Our image animation technology, "Moving Elements" , that is inspired by our CVPR 2022 paper is shipped to and is available in Adobe Photoshop Elements 2023 .
Openings: I am looking for grad student interns who are passionate about becoming friends with pixels, for Spring/Summer 2024. Interested candidates may email me their resumes.
Email  / 
Google Scholar  / 
Resume  / 
LinkedIn  / 
Twitter  / 
Research
My current research interests are in the areas of computer vision, specifically image and video synthesis. Below are some selected projects I have worked on. For a more comprehensive set of publications and patents, please refer to my resume.
Your browser does not support the video tag.
Blowing in the Wind: CycleNet for Human Cinemagraphs from Still Images
Hugo Bertiche , Niloy J. Mitra , Kuldeep Kulkarni , Chun-Hao Paul Huang , Tuanfeng Y. Wang , Meysam Madadi , Sergio Escalera , Duygu Ceylan
Computer Vision and Pattern Recognition
(CVPR) 2023
Project Page
Self-supervised Multi-view Disentanglement for Expansion of Visual Collections
Praneetha Vaddamanu , Nihal Jain , Paridhi Maheshwari , Vishwa Vinay , Kuldeep Kulkarni
Web Search and Data Mining (WSDM) 2023
Code /Poster
GEMS: Scene Expansion using Generative Models of Graphs
Rishi Agarwal * , Tirupathi Saketh Chandra* , Vaidehi Patil* , Aniruddha Mahapatra* , Kuldeep Kulkarni , Vishwa Vinay
Winter Conference on Applications of Computer Vision (WACV) 2023
Paper /Poster
Your browser does not support the video tag.
Controllable Animation of Fluid Elements in Still Images
Aniruddha Mahapatra , Kuldeep Kulkarni
Computer Vision and Pattern Recognition
(CVPR) 2022
Project Page
SemIE: Semantically-aware Image Extrapolation
Bholeshwar Khurana , Soumya Ranjan Dash , Abhishek Bhatia , Aniruddha Mahapatra , Hrituraj Singh , Kuldeep Kulkarni
International Conference
on Computer Vision (ICCV) 2021
Project Page
Halluci-Net: Scene Completion by Exploiting Object Co-occurrence
Relationships
Kuldeep Kulkarni , Tejas Gokhale , Rajhans Singh , Pavan Turaga , Aswin Sankaranarayanan
AICC CVPR workshop 2021
Convolutional Neural Networks for Noniterative Reconstruction of Compressively Sensed Images
Suhas Lohit , Kuldeep Kulkarni , Ronan Kerviche , Pavan Turaga , Amit Ashok
IEEE Transactions on Computational Imaging 2018
Code
Weakly Supervised Learning of Heterogeneous
Concepts in Videos
Sohil Shah , Kuldeep Kulkarni , Arijit Biswas , Ankit Gandhi , Om Deshmukh , Larry Davis
European Conference
on Computer Vision (ECCV) 2016
Code /Poster
ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements
Kuldeep Kulkarni , Suhas Lohit , Pavan Turaga , Ronan Kerviche , Amit Ashok
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
Project Page (Code available now).
This work was covered by 'Nuit Blanche'
Fast Integral Image Estimation at 1% measurement rate
Kuldeep Kulkarni , Pavan Turaga
under revisions at IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) , 2016
arXiv:1601.07258 [cs.CV]
Direct Inference on Compressive Measurements using Convolutional Neural Networks
Suhas Lohit , Kuldeep Kulkarni , Pavan Turaga
International Conference on Image Processing, 2016
Reconstruction-free action inference from compressive imagers
Kuldeep Kulkarni , Pavan Turaga
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (Impact factor: 5.781, Accepted on July 31, 2015 )
supplement
Reconstruction-free Inference on Compressive Measurements
Suhas Lohit , Kuldeep Kulkarni , Pavan Turaga , Jian Wang , Aswin Sankaranarayanan
4th IEEE Workshop on Computational Cameras and Displays (CCD) , held in conjunction with IEEE CVPR, June 2015 (Best Paper Award)
Presentation
Recurrence Textures for Activity Recognition from compressive cameras
Kuldeep Kulkarni , Pavan Turaga
IEEE International Conference on Image Processing, 2012
Student and Intern Mentoring
Rushil Gupta , undergrad at IIT Delhi -> Adobe
Nikhil Kapoor , undergrad at IIT Delhi
Rajat Jaiswal , undergrad at IIT Delhi
Bholeshwar Khurana , undergrad at IIT Kanpur -> Adobe
Soumya Ranjan Dash , undergrad at IIT Kanpur -> Adobe
Abhishek Bhatia , undergrad at IIT Kanpur -> Adobe
Mohit Chandak , undergrad at IIT Guwahati -> Adobe
Shivam Patel , undergrad at IIT Bombay -> Qure.ai
Sudhanshu Bansal , undergrad at IIT Kanpur
Li-Chi , currently at Graftek Imaging, Austin, TX
Mayank Gupta , currently at PlusAI, San Mateo, CA
Tejas Gokhale (at CMU), currently PhD student at ASU
Suhas Lohit , currently visiting research scientist at MERL, Cambridge