Kuldeep Kulkarni

Orcid: 0000-0003-4681-8986

According to our database1, Kuldeep Kulkarni authored at least 23 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
Self-supervised Multi-view Disentanglement for Expansion of Visual Collections.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

GEMS: Scene Expansion using Generative Models of Graphs.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Scene Graph Driven Text-Prompt Generation for Image Inpainting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Blowing in the Wind: CycleNet for Human Cinemagraphs from Still Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Controllable Animation of Fluid Elements in Still Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

User-Guided Variable Rate Learned Image Compression.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
SemIE: Semantically-aware Image Extrapolation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Halluci-Net: Scene Completion by Exploiting Object Co-occurrence Relationships.
CoRR, 2020

2019
Rank-Regularized Measurement Operators for Compressive Imaging.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Convolutional Neural Networks for Noniterative Reconstruction of Compressively Sensed Images.
IEEE Trans. Computational Imaging, 2018

Rate-Adaptive Neural Networks for Spatial Multiplexers.
CoRR, 2018

CS-VQA: Visual Question Answering with Compressively Sensed Images.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Computer Vision from Spatial-Multiplexing Cameras at Low Measurement Rates.
PhD thesis, 2017

Convolutional Neural Networks for Non-iterative Reconstruction of Compressively Sensed Images.
CoRR, 2017

Compressive Light Field Reconstructions Using Deep Learning.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
Reconstruction-Free Action Inference from Compressive Imagers.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Fast Integral Image Estimation at 1% measurement rate.
CoRR, 2016

ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random Measurements.
CoRR, 2016

Direct inference on compressive measurements using convolutional neural networks.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Weakly Supervised Learning of Heterogeneous Concepts in Videos.
Proceedings of the Computer Vision - ECCV 2016, 2016

ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Reconstruction-free inference on compressive measurements.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2012
Recurrence textures for human activity recognition from compressive cameras.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012


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