Kuldeep Kulkarni

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 29

Top Venues

Arizona State University, Tempe, USA (PHD)

Education History

Arizona State University, Tempe, USA

PHD

Publications

Harsh Rangwani, Aishwarya Agarwal, Kuldeep Kulkarni, R. Venkatesh Babu, Srikrishna Karanam
Crafting Parts for Expressive Object Composition. CoRR (2024)
Rishi Agarwal, Tirupati Saketh Chandra, Vaidehi Patil, Aniruddha Mahapatra, Kuldeep Kulkarni, Vishwa Vinay
GEMS: Scene Expansion using Generative Models of Graphs. WACV (2023)
Tripti Shukla, Paridhi Maheshwari, Rajhans Singh, Ankita Shukla, Kuldeep Kulkarni, Pavan K. Turaga
Scene Graph Driven Text-Prompt Generation for Image Inpainting. CVPR Workshops (2023)
Hugo Bertiche, Niloy J. Mitra, Kuldeep Kulkarni, Chun-Hao Paul Huang, Tuanfeng Y. Wang, Meysam Madadi, Sergio Escalera, Duygu Ceylan
Blowing in the Wind: CycleNet for Human Cinemagraphs from Still Images. CoRR (2023)
Nihal Jain, Praneetha Vaddamanu, Paridhi Maheshwari, Vishwa Vinay, Kuldeep Kulkarni
Self-supervised Multi-view Disentanglement for Expansion of Visual Collections. CoRR (2023)
Hugo Bertiche, Niloy J. Mitra, Kuldeep Kulkarni, Chun-Hao Paul Huang, Tuanfeng Y. Wang, Meysam Madadi, Sergio Escalera, Duygu Ceylan
Blowing in the Wind: CycleNet for Human Cinemagraphs from Still Images. CVPR (2023)
Nihal Jain, Praneetha Vaddamanu, Paridhi Maheshwari, Vishwa Vinay, Kuldeep Kulkarni
Self-supervised Multi-view Disentanglement for Expansion of Visual Collections. WSDM (2023)
Rushil Gupta, Suryateja BV, Nikhil Kapoor, Rajat Jaiswal, Sharmila Nangi, Kuldeep Kulkarni
User-Guided Variable Rate Learned Image Compression. CVPR Workshops (2022)
Aniruddha Mahapatra, Kuldeep Kulkarni
Controllable Animation of Fluid Elements in Still Images. CVPR (2022)
Rishi Agarwal, Tirupati Saketh Chandra, Vaidehi Patil, Aniruddha Mahapatra, Kuldeep Kulkarni, Vishwa Vinay
GEMS: Scene Expansion using Generative Models of Graphs. CoRR (2022)
Aniruddha Mahapatra, Kuldeep Kulkarni
Controllable Animation of Fluid Elements in Still Images. CoRR (2021)
Bholeshwar Khurana, Soumya Ranjan Dash, Abhishek Bhatia, Aniruddha Mahapatra, Hrituraj Singh, Kuldeep Kulkarni
SemIE: Semantically-aware Image Extrapolation. ICCV (2021)
Bholeshwar Khurana, Soumya Ranjan Dash, Abhishek Bhatia, Aniruddha Mahapatra, Hrituraj Singh, Kuldeep Kulkarni
SemIE: Semantically-aware Image Extrapolation. CoRR (2021)
Kuldeep Kulkarni, Tejas Gokhale, Rajhans Singh, Pavan K. Turaga, Aswin C. Sankaranarayanan
Halluci-Net: Scene Completion by Exploiting Object Co-occurrence Relationships. CoRR (2020)
Suhas Lohit, Rajhans Singh, Kuldeep Kulkarni, Pavan K. Turaga
Rank-Regularized Measurement Operators for Compressive Imaging. ACSSC (2019)
Mayank Gupta, Arjun Jauhari, Kuldeep Kulkarni, Suren Jayasuriya, Alyosha C. Molnar, Pavan K. Turaga
Compressive Light Field Reconstructions using Deep Learning. CoRR (2018)
Li-Chi Huang, Kuldeep Kulkarni, Anik Jha, Suhas Lohit, Suren Jayasuriya, Pavan K. Turaga
CS-VQA: Visual Question Answering with Compressively Sensed Images. CoRR (2018)
Li-Chi Huang, Kuldeep Kulkarni, Anik Jha, Suhas Lohit, Suren Jayasuriya, Pavan K. Turaga
CS-VQA: Visual Question Answering with Compressively Sensed Images. ICIP (2018)
Suhas Lohit, Kuldeep Kulkarni, Ronan Kerviche, Pavan K. Turaga, Amit Ashok
Convolutional Neural Networks for Noniterative Reconstruction of Compressively Sensed Images. IEEE Trans. Computational Imaging 4 (3) (2018)
Suhas Lohit, Rajhans Singh, Kuldeep Kulkarni, Pavan K. Turaga
Rate-Adaptive Neural Networks for Spatial Multiplexers. CoRR (2018)
Suhas Lohit, Kuldeep Kulkarni, Ronan Kerviche, Pavan K. Turaga, Amit Ashok
Convolutional Neural Networks for Non-iterative Reconstruction of Compressively Sensed Images. CoRR (2017)
Mayank Gupta, Arjun Jauhari, Kuldeep Kulkarni, Suren Jayasuriya, Alyosha C. Molnar, Pavan K. Turaga
Compressive Light Field Reconstructions Using Deep Learning. CVPR Workshops (2017)
Kuldeep Kulkarni, Suhas Lohit, Pavan K. Turaga, Ronan Kerviche, Amit Ashok
ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements. CVPR (2016)
Kuldeep Kulkarni, Pavan K. Turaga
Fast Integral Image Estimation at 1% measurement rate. CoRR (2016)
Sohil Shah, Kuldeep Kulkarni, Arijit Biswas, Ankit Gandhi, Om Deshmukh, Larry S. Davis
Weakly Supervised Learning of Heterogeneous Concepts in Videos. ECCV (6) (2016)
Kuldeep Kulkarni, Suhas Lohit, Pavan K. Turaga, Ronan Kerviche, Amit Ashok
ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random Measurements. CoRR (2016)
Suhas Lohit, Kuldeep Kulkarni, Pavan K. Turaga
Direct inference on compressive measurements using convolutional neural networks. ICIP (2016)
Kuldeep Kulkarni, Pavan K. Turaga
Reconstruction-Free Action Inference from Compressive Imagers. IEEE Trans. Pattern Anal. Mach. Intell. 38 (4) (2016)
Sohil Shah, Kuldeep Kulkarni, Arijit Biswas, Ankit Gandhi, Om Deshmukh, Larry S. Davis
Weakly Supervised Learning of Heterogeneous Concepts in Videos. CoRR (2016)
Kuldeep Kulkarni, Pavan K. Turaga
Reconstruction-free action inference from compressive imagers. CoRR (2015)
Suhas Lohit, Kuldeep Kulkarni, Pavan K. Turaga, Jian Wang, Aswin C. Sankaranarayanan
Reconstruction-free inference on compressive measurements. CVPR Workshops (2015)
Kuldeep Kulkarni, Pavan K. Turaga
Recurrence textures for human activity recognition from compressive cameras. ICIP (2012)

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Publication Activity (10 Years)

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Kuldeep Kulkarni