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Self-Denoising Neural Networks for Few Shot Learning
This architecture, which we call a Self-Denoising Neural Network (SDNN), can be applied easily to most modern convolutional neural architectures, and can be used as a supplement to many existing few-shot learning techniques.
Finding Facial Forgery Artifacts with Parts-Based Detectors
Manipulated videos, especially those where the identity of an individual has been modified using deep neural networks, are becoming an increasingly relevant threat in the modern day.
SPIN: A High Speed, High Resolution Vision Dataset for Tracking and Action Recognition in Ping Pong
The corpus consists of ping pong play with three main annotation streams that can be used to learn tracking and action recognition models -- tracking of the ping pong ball and poses of humans in the videos and the spin of the ball being hit by humans.
3D Human Pose Estimation from Deep Multi-View 2D Pose
Human pose estimation - the process of recognizing a human's limb positions and orientations in a video - has many important applications including surveillance, diagnosis of movement disorders, and computer animation.
A Proposal-Based Solution to Spatio-Temporal Action Detection in Untrimmed Videos
In this paper, we present a modular system for spatio-temporal action detection in untrimmed security videos.
