Kuldeep Kulkarni

According to our database, Kuldeep Kulkarni authored at least 26 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Imposter: Text and Frequency Guidance for Subject Driven Action Personalization using Diffusion Models.

Divya Kothandaraman, Kuldeep Kulkarni, Sumit Shekhar, Balaji Vasan Srinivasan, Dinesh Manocha

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

FloAt: Flow Warping of Self-Attention for Clothing Animation Generation.

Swasti Shreya Mishra, Kuldeep Kulkarni, Duygu Ceylan, Balaji Vasan Srinivasan

CoRR, 2024

Crafting Parts for Expressive Object Composition.

Harsh Rangwani, Aishwarya Agarwal, Kuldeep Kulkarni, R. Venkatesh Babu, Srikrishna Karanam

CoRR, 2024

2023

Self-supervised Multi-view Disentanglement for Expansion of Visual Collections.

Nihal Jain, Praneetha Vaddamanu, Paridhi Maheshwari, Vishwa Vinay, Kuldeep Kulkarni

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

GEMS: Scene Expansion using Generative Models of Graphs.

Rishi Agarwal, Tirupati Saketh Chandra, Vaidehi Patil, Aniruddha Mahapatra, Kuldeep Kulkarni, Vishwa Vinay

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Scene Graph Driven Text-Prompt Generation for Image Inpainting.

Tripti Shukla, Paridhi Maheshwari, Rajhans Singh, Ankita Shukla, Kuldeep Kulkarni, Pavan K. Turaga

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Controllable Animation of Fluid Elements in Still Images.

Aniruddha Mahapatra, Kuldeep Kulkarni

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

User-Guided Variable Rate Learned Image Compression.

Rushil Gupta, Suryateja BV, Nikhil Kapoor, Rajat Jaiswal, Sharmila Nangi, Kuldeep Kulkarni

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

SemIE: Semantically-aware Image Extrapolation.

Bholeshwar Khurana, Soumya Ranjan Dash, Abhishek Bhatia, Aniruddha Mahapatra, Hrituraj Singh, Kuldeep Kulkarni

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Halluci-Net: Scene Completion by Exploiting Object Co-occurrence Relationships.

Kuldeep Kulkarni, Tejas Gokhale, Rajhans Singh, Pavan K. Turaga, Aswin C. Sankaranarayanan

CoRR, 2020

2019

Rank-Regularized Measurement Operators for Compressive Imaging.

Suhas Lohit, Rajhans Singh, Kuldeep Kulkarni, Pavan K. Turaga

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Convolutional Neural Networks for Noniterative Reconstruction of Compressively Sensed Images.

Suhas Lohit, Kuldeep Kulkarni, Ronan Kerviche, Pavan K. Turaga, Amit Ashok

IEEE Trans. Computational Imaging, 2018

Rate-Adaptive Neural Networks for Spatial Multiplexers.

Suhas Lohit, Rajhans Singh, Kuldeep Kulkarni, Pavan K. Turaga

CoRR, 2018

CS-VQA: Visual Question Answering with Compressively Sensed Images.

Li-Chi Huang, Kuldeep Kulkarni, Anik Jha, Suhas Lohit, Suren Jayasuriya, Pavan K. Turaga

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

Computer Vision from Spatial-Multiplexing Cameras at Low Measurement Rates.

Kuldeep Kulkarni

PhD thesis, 2017

Convolutional Neural Networks for Non-iterative Reconstruction of Compressively Sensed Images.

Suhas Lohit, Kuldeep Kulkarni, Ronan Kerviche, Pavan K. Turaga, Amit Ashok

CoRR, 2017

Compressive Light Field Reconstructions Using Deep Learning.

Mayank Gupta, Arjun Jauhari, Kuldeep Kulkarni, Suren Jayasuriya, Alyosha C. Molnar, Pavan K. Turaga

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Reconstruction-Free Action Inference from Compressive Imagers.

Kuldeep Kulkarni, Pavan K. Turaga

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Fast Integral Image Estimation at 1% measurement rate.

Kuldeep Kulkarni, Pavan K. Turaga

CoRR, 2016

ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random Measurements.

Kuldeep Kulkarni, Suhas Lohit, Pavan K. Turaga, Ronan Kerviche, Amit Ashok

CoRR, 2016

Direct inference on compressive measurements using convolutional neural networks.

Suhas Lohit, Kuldeep Kulkarni, Pavan K. Turaga

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Weakly Supervised Learning of Heterogeneous Concepts in Videos.

Sohil Shah, Kuldeep Kulkarni, Arijit Biswas, Ankit Gandhi, Om Deshmukh, Larry S. Davis

Proceedings of the Computer Vision - ECCV 2016, 2016

ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements.

Kuldeep Kulkarni, Suhas Lohit, Pavan K. Turaga, Ronan Kerviche, Amit Ashok

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Reconstruction-free inference on compressive measurements.

Suhas Lohit, Kuldeep Kulkarni, Pavan K. Turaga, Jian Wang, Aswin C. Sankaranarayanan

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2012

Recurrence textures for human activity recognition from compressive cameras.

Kuldeep Kulkarni, Pavan K. Turaga

Proceedings of the 19th IEEE International Conference on Image Processing, 2012