Long Video Understanding

2026

1. 

   StreamReady: Learning What to Answer and When in Long Streaming Videos

   Shehreen Azad, Vibhav Vineet, and Yogesh Rawat

   In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026

   CVPR arXiv Bib PDF Code Website

   @inproceedings{azad2026streamready,
     title = {StreamReady: Learning What to Answer and When in Long Streaming Videos},
     author = {Azad, Shehreen and Vineet, Vibhav and Rawat, Yogesh},
     booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     pages = {40494--40504},
     year = {2026},
   }

2. 

   Forget, Anticipate and Adapt: Test Time Training for Long Videos

   Rajat Modi, S. Noel, Xin Liang, and Yogesh S. Rawat

   In European Conference on Computer Vision (ECCV), 2026

   ECCV arXiv Bib Code

   @inproceedings{modi2026forget,
     title = {Forget, Anticipate and Adapt: Test Time Training for Long Videos},
     author = {Modi, Rajat and Noel, S. and Liang, Xin and Rawat, Yogesh S.},
     booktitle = {European Conference on Computer Vision (ECCV)},
     year = {2026},
   }

2025

1. 

   HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video Understanding

   Shehreen Azad, Vibhav Vineet, and Yogesh Singh Rawat

   In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025

   CVPR Bib HTML PDF Code Website

   @inproceedings{azad2025hierarq,
     title = {HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video Understanding},
     author = {Azad, Shehreen and Vineet, Vibhav and Rawat, Yogesh Singh},
     booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     pages = {8545--8556},
     year = {2025},
   }

2. 

   A Large-Scale Analysis on Contextual Self-Supervised Video Representation Learning

   Akash Kumar, Ashlesha Kumar, Vibhav Vineet, and Yogesh S Rawat

   In Proceedings of the Computer Vision and Pattern Recognition Conference, 2025

   Bib

   @inproceedings{kumar2025large,
     title = {A Large-Scale Analysis on Contextual Self-Supervised Video Representation Learning},
     author = {Kumar, Akash and Kumar, Ashlesha and Vineet, Vibhav and Rawat, Yogesh S},
     booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference},
     pages = {670--681},
     year = {2025},
   }

2024

1. 

   Foundation models for video understanding: A survey

   Neelu Madan, Andreas Møgelmose, Rajat Modi, Yogesh S Rawat, and Thomas B Moeslund

   arXiv preprint arXiv:2405.03770, 2024

   arXiv arXiv Bib

   @article{madan2024foundation,
     title = {Foundation models for video understanding: A survey},
     author = {Madan, Neelu and M{\o}gelmose, Andreas and Modi, Rajat and Rawat, Yogesh S and Moeslund, Thomas B},
     journal = {arXiv preprint arXiv:2405.03770},
     year = {2024},
   }

2023

1. 

   Self-supervised learning for videos: A survey

   Madeline C Schiappa, Yogesh S Rawat, and Mubarak Shah

   ACM Computing Surveys, 2023

   CSUR Bib PDF Code

   @article{schiappa2023self,
     title = {Self-supervised learning for videos: A survey},
     author = {Schiappa, Madeline C and Rawat, Yogesh S and Shah, Mubarak},
     journal = {ACM Computing Surveys},
     volume = {55},
     number = {13s},
     pages = {1--37},
     year = {2023},
     publisher = {ACM New York, NY},
   }

2022

1. 

   Svgraph: Learning semantic graphs from instructional videos

   Madeline C Schiappa and Yogesh S Rawat

   2022 IEEE Eighth International Conference on Multimedia Big Data (BigMM), 2022

   BigMM Bib

   @article{schiappa2022svgraph,
     title = {Svgraph: Learning semantic graphs from instructional videos},
     author = {Schiappa, Madeline C and Rawat, Yogesh S},
     journal = {2022 IEEE Eighth International Conference on Multimedia Big Data (BigMM)},
     pages = {45--52},
     year = {2022},
   }