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Found 5 papers, 2 papers with code
Take a NAP: Non-Autoregressive Prediction for Pedestrian Trajectories
Pedestrian trajectory prediction is a challenging task as there are three properties of human movement behaviors which need to be addressed, namely, the social influence from other pedestrians, the scene constraints, and the multimodal (multiroute) nature of predictions.
Loss Switching Fusion with Similarity Search for Video Classification
We define our classification problem as classifying background and foreground motions using the same feature representation for outdoor scenes.
A Comparative Review of Recent Kinect-based Action Recognition Algorithms
Video-based human action recognition is currently one of the most active research areas in computer vision.
Ranked #98 on
Skeleton Based Action Recognition
on NTU RGB+D
Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition with CNNs
Thus, we propose an end-to-end trainable network with streams which learn the IDT-based BoW/FV representations at the training stage and are simple to integrate with the I3D model.
Ranked #3 on
Scene Recognition
on YUP++
(using extra training data)
HOPC: Histogram of Oriented Principal Components of 3D Pointclouds for Action Recognition
In contrast, we directly process the pointclouds and propose a new technique for action recognition which is more robust to noise, action speed and viewpoint variations.
