Action Recognition in Videos using Stacked Optical Flow and HOGHOF features.
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Updated
May 8, 2017 - Python
Action Recognition in Videos using Stacked Optical Flow and HOGHOF features.
Google Cloud & YouTube-8M Video Understanding Challenge. Can you produce the best video tag predictions?
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State of the art object detection in real-time using YOLOV3 algorithm. Augmented with a process that allows easy training of the classifier as a plug & play solution . Provides alert if an item in an alert list is detected.
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Exploration of different solutions to action recognition in video, using neural networks implemented in PyTorch.
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2019 term project for Machine Learning Practical course at the University of Edinburgh
[ECCV 2018] Temporal Relational Reasoning in Videos
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Educational project for video and speech recognition
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Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain
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