Efficient Continuous Video Flow Model for Video Prediction
Gaurav Shrivastava, Abhinav Shrivastava
Under submission

Video Prediction by Modeling Videos as Continuous Multi-Dimensional Processes
Gaurav Shrivastava, Abhinav Shrivastava
CVPR 2024

Video Decomposition Prior: Editing Videos Layer by Layer
Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava
ICLR 2024

Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements
Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava
NeurIPS 2023
project page / arxiv / bibtex

@inproceedings{
shrivastava2023video,
title={Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements},
author={Gaurav Shrivastava and Ser-Nam Lim and Abhinav Shrivastava},
booktitle={Thirty-seventh Conference on Neural Information Processing Systems},
year={2023},
url={https://openreview.net/forum?id=CCq73CGMyV}
}
            

Hierarchical Video Prediction using Relational Layouts for Human-object Interactions
Navaneeth Bodla, Gaurav Shrivastava, Rama Chellappa, Abhinav Shrivastava
CVPR 2021
project page / arxiv / bibtex

@InProceedings{Bodla_2021_CVPR,
author    = {Bodla, Navaneeth and Shrivastava, Gaurav and Chellappa, Rama and Shrivastava, Abhinav},
title     = {Hierarchical Video Prediction Using Relational Layouts for Human-Object Interactions},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month     = {June},
year      = {2021},
pages     = {12146-12155}
} 
            

Diverse Video Generation using a Gaussian Process Trigger
Gaurav Shrivastava, Abhinav Shrivastava
ICLR 2021
project page / arxiv / code / bibtex

@inproceedings{
shrivastava2021diverse,
title={Diverse Video Generation using a Gaussian Process Trigger},
author={Gaurav Shrivastava and Abhinav Shrivastava},
booktitle={International Conference on Learning Representations},
year={2021},
url={https://openreview.net/forum?id=Qm7R_SdqTpT}
}
            

Learning What Not to Model: Gaussian Process Regression with Negative Constraints
Gaurav Shrivastava, Abhinav Shrivastava

PDF / bibtex

@techreport{Shrivastava2020negGP,
    bibtex_show={true},
    abbr = {PI-TechReport},
    author={Gaurav Shrivastava and Abhinav Shrivastava},
    title={Learning What Not to Model: Gaussian Process Regression with Negative Constraints},
    type = {Perception and Intelligence Technical Report},
    publisher = {Perception and Intelligence Tech Report},
    address = {College Park, Maryland, US},
    pdf = {gpnc.pdf},
    year={2020}}