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Learning 3D Human Dynamics from Video Angjoo Kanazawa*, Jason Zhang*, Panna Felsen*, Jitendra Malik University of California, Berkeley (* Equal contribution) Project Page Requirements Python 3 (tested on version 3.5) TensorFlow (tested on version 1.8) PyTorch for AlphaPose, PoseFlow, and NMR (te...
Learning and recognizing human dynamics in video sequences. In Proceedings of the IEEE conference on Computer Vision and Pattern Recognition, pages 568-574, 1997.C. Bregler, "Learning and recognizing human dynamics in video Sequences," Proc. Computer Vision and Pattern Recognition, San Juan, ...
Accurate RNA 3D structure prediction using a language model-based deep learning approach RhoFold+ is an end-to-end language model-based deep learning method to predict RNA three-dimensional structures of single-chain RNAs from sequences.
Recognizing human actions in video sequences, known as Human Action Recognition (HAR), is a challenging task in pattern recognition. While Convolutional Neural Networks (ConvNets) have shown remarkable success in image recognition, they are not always di
There are many physiological variables which can be collected from the human body. The most common are the following. (a) The electrocardiogram (ECG) measures any change in heartbeat and pattern of beating [93,94]. (b) Electromyography (EMG) monitors changes in neuromuscular activity. (c) Bl...
A resource repository for 3D machine learning. Contribute to timzhang642/3D-Machine-Learning development by creating an account on GitHub.
and human poses extracted from 3D scenes—and (ii) spatial relations—object-object and human-object relations. Spatial entities: For each frame of the input video, the parse graph G is first decomposed into a static scene and a human pose. The static scene is further decomposed into a set...
Intelligent surveillance video analysis is a solution to laborious human task. 3. Intelligence should be visible in all real world scenarios. 4. Maximum accuracy is needed in object identification and action recognition. 5. Tasks like crowd analysis are still needs lot of improvement. ...
These methods can combine with 3D vision27,28 to turn depth-cameras into privacy-preserving sensors29, making deployment easier for patient settings such as the intensive care unit8. The range of tasks is even broader in video. Applications like activity recognition30 and live scene understanding...