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Found 3 papers, 1 papers with code
F4D: Factorized 4D Convolutional Neural Network for Efficient Video-level Representation Learning
Experiment evaluation on five action recognition benchmark datasets, i. e., Something-Something-v1, SomethingSomething-v2, Kinetics-400, UCF101, and HMDB51 demonstrate the effectiveness of the proposed F4D network architecture for video-level action recognition.
Eye Tracking for Everyone
We believe that we can put the power of eye tracking in everyone's palm by building eye tracking software that works on commodity hardware such as mobile phones and tablets, without the need for additional sensors or devices.
Automated Image Captioning for Rapid Prototyping and Resource Constrained Environments
Significant performance gains in deep learning coupled with the exponential growth of image and video data on the Internet have resulted in the recent emergence of automated image captioning systems.
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