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Kuldeep Kulkarni
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2020 – today
- 2024
- [i15]Harsh Rangwani, Aishwarya Agarwal, Kuldeep Kulkarni, R. Venkatesh Babu, Srikrishna Karanam:
Crafting Parts for Expressive Object Composition. CoRR abs/2406.10197 (2024) - 2023
- [c15]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: 459-468 - [c14]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: 759-768 - [c13]Rishi Agarwal, Tirupati Saketh Chandra, Vaidehi Patil, Aniruddha Mahapatra, Kuldeep Kulkarni, Vishwa Vinay:
GEMS: Scene Expansion using Generative Models of Graphs. WACV 2023: 157-166 - [c12]Nihal Jain
, Praneetha Vaddamanu
, Paridhi Maheshwari
, Vishwa Vinay
, Kuldeep Kulkarni
:
Self-supervised Multi-view Disentanglement for Expansion of Visual Collections. WSDM 2023: 841-849 - [i14]Nihal Jain, Praneetha Vaddamanu, Paridhi Maheshwari, Vishwa Vinay, Kuldeep Kulkarni:
Self-supervised Multi-view Disentanglement for Expansion of Visual Collections. CoRR abs/2302.02249 (2023) - [i13]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 abs/2303.08639 (2023) - 2022
- [c11]Rushil Gupta, Suryateja BV, Nikhil Kapoor, Rajat Jaiswal, Sharmila Nangi, Kuldeep Kulkarni:
User-Guided Variable Rate Learned Image Compression. CVPR Workshops 2022: 1752-1757 - [c10]Aniruddha Mahapatra, Kuldeep Kulkarni:
Controllable Animation of Fluid Elements in Still Images. CVPR 2022: 3657-3666 - [i12]Rishi Agarwal, Tirupati Saketh Chandra, Vaidehi Patil, Aniruddha Mahapatra, Kuldeep Kulkarni, Vishwa Vinay:
GEMS: Scene Expansion using Generative Models of Graphs. CoRR abs/2207.03729 (2022) - 2021
- [c9]Bholeshwar Khurana, Soumya Ranjan Dash, Abhishek Bhatia, Aniruddha Mahapatra, Hrituraj Singh, Kuldeep Kulkarni:
SemIE: Semantically-aware Image Extrapolation. ICCV 2021: 14880-14889 - [i11]Bholeshwar Khurana, Soumya Ranjan Dash, Abhishek Bhatia, Aniruddha Mahapatra, Hrituraj Singh, Kuldeep Kulkarni:
SemIE: Semantically-aware Image Extrapolation. CoRR abs/2108.13702 (2021) - [i10]Aniruddha Mahapatra, Kuldeep Kulkarni:
Controllable Animation of Fluid Elements in Still Images. CoRR abs/2112.03051 (2021) - 2020
- [i9]Kuldeep Kulkarni, Tejas Gokhale, Rajhans Singh, Pavan K. Turaga, Aswin C. Sankaranarayanan:
Halluci-Net: Scene Completion by Exploiting Object Co-occurrence Relationships. CoRR abs/2004.08614 (2020)
2010 – 2019
- 2019
- [c8]Suhas Lohit, Rajhans Singh, Kuldeep Kulkarni, Pavan K. Turaga:
Rank-Regularized Measurement Operators for Compressive Imaging. ACSSC 2019: 942-946 - 2018
- [j2]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): 326-340 (2018) - [c7]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: 1283-1287 - [i8]Mayank Gupta, Arjun Jauhari, Kuldeep Kulkarni, Suren Jayasuriya, Alyosha C. Molnar, Pavan K. Turaga:
Compressive Light Field Reconstructions using Deep Learning. CoRR abs/1802.01722 (2018) - [i7]Li-Chi Huang, Kuldeep Kulkarni, Anik Jha, Suhas Lohit, Suren Jayasuriya, Pavan K. Turaga:
CS-VQA: Visual Question Answering with Compressively Sensed Images. CoRR abs/1806.03379 (2018) - [i6]Suhas Lohit, Rajhans Singh, Kuldeep Kulkarni, Pavan K. Turaga:
Rate-Adaptive Neural Networks for Spatial Multiplexers. CoRR abs/1809.02850 (2018) - 2017
- [b1]Kuldeep Kulkarni:
Computer Vision from Spatial-Multiplexing Cameras at Low Measurement Rates. Arizona State University, Tempe, USA, 2017 - [c6]Mayank Gupta, Arjun Jauhari, Kuldeep Kulkarni, Suren Jayasuriya, Alyosha C. Molnar, Pavan K. Turaga
:
Compressive Light Field Reconstructions Using Deep Learning. CVPR Workshops 2017: 1277-1286 - [i5]Suhas Lohit, Kuldeep Kulkarni, Ronan Kerviche, Pavan K. Turaga, Amit Ashok:
Convolutional Neural Networks for Non-iterative Reconstruction of Compressively Sensed Images. CoRR abs/1708.04669 (2017) - 2016
- [j1]Kuldeep Kulkarni, Pavan K. Turaga
:
Reconstruction-Free Action Inference from Compressive Imagers. IEEE Trans. Pattern Anal. Mach. Intell. 38(4): 772-784 (2016) - [c5]Kuldeep Kulkarni, Suhas Lohit, Pavan K. Turaga
, Ronan Kerviche, Amit Ashok:
ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements. CVPR 2016: 449-458 - [c4]Sohil Shah, Kuldeep Kulkarni, Arijit Biswas, Ankit Gandhi, Om Deshmukh, Larry S. Davis:
Weakly Supervised Learning of Heterogeneous Concepts in Videos. ECCV (6) 2016: 275-293 - [c3]Suhas Lohit, Kuldeep Kulkarni, Pavan K. Turaga
:
Direct inference on compressive measurements using convolutional neural networks. ICIP 2016: 1913-1917 - [i4]Kuldeep Kulkarni, Suhas Lohit, Pavan K. Turaga, Ronan Kerviche, Amit Ashok:
ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random Measurements. CoRR abs/1601.06892 (2016) - [i3]Kuldeep Kulkarni, Pavan K. Turaga:
Fast Integral Image Estimation at 1% measurement rate. CoRR abs/1601.07258 (2016) - [i2]Sohil Shah, Kuldeep Kulkarni, Arijit Biswas, Ankit Gandhi, Om Deshmukh, Larry S. Davis:
Weakly Supervised Learning of Heterogeneous Concepts in Videos. CoRR abs/1607.03240 (2016) - 2015
- [c2]Suhas Lohit, Kuldeep Kulkarni, Pavan K. Turaga
, Jian Wang, Aswin C. Sankaranarayanan:
Reconstruction-free inference on compressive measurements. CVPR Workshops 2015: 16-24 - [i1]Kuldeep Kulkarni, Pavan K. Turaga:
Reconstruction-free action inference from compressive imagers. CoRR abs/1501.04367 (2015) - 2012
- [c1]Kuldeep Kulkarni, Pavan K. Turaga
:
Recurrence textures for human activity recognition from compressive cameras. ICIP 2012: 1417-1420
Coauthor Index
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last updated on 2024-07-11 20:18 CEST by the dblp team
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