SS2023 Project - Object Detection in Videos

Posted on Apr 3, 2023 by Saif Khan

Improving Detection in Videos

Supervisor: Khurram Azeem Hashmi


  • Re-implementing current SOTA Video object detection methods.
  • Design and incorporate novel modules in the pipeline to improve results.
  • Benchmarking performance on at-least 2 datasets.

Expected Skills

  • PyTorch, GitHub, Deep Learning
  • Proficient theoretical knowledge of Object Detection Algorithms and CNNs.

[1] Gong, Tao, et al. “Temporal ROI align for video object recognition.” Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 35. No. 2. 2021.
[2] Zhou, Qianyu, et al. “TransVOD: End-to-end Video Object Detection with Spatial-Temporal Transformers.” arXiv preprint arXiv:2201.05047 (2022).


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