Pattern Recognition
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Summary
This work proposes a novel spatio-temporal action localization approach with an integrated optical flow sub-network to address two problems – the computational efficiency is low and the whole network is not end-to-end trainable.
- Type
- book
- Published
- 2015-07-06
- Cited by
- 551
- References
- 116
- Access
- Open access
- OpenAlex
- https://openalex.org/W2394992330
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:268633094
Keywords
Computer science, German, Artificial intelligence, Pattern recognition (psychology), History
References
- Comparison of Combined Shape Descriptors for Irregular Objects
- Experiences in Collection of Handwriting Data for Online Handwriting Recognition in Indic Scripts
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- A Visual Communication Language for Crisis Management
- Temperature analysis of reference evapotranspiration models
- Theano: new features and speed improvements
- Finding structure in diversity: a hierarchical clustering method for the categorization of allographs in handwriting
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Learning to Track for Spatio-Temporal Action Localization
- Evolution of Water Lifting Devices (Pumps) over the Centuries Worldwide
- ShapeSynth: Parameterizing model collections for coupled shape exploration and synthesis
- Finding action tubes
- Fast action proposals for human action detection and search
- Aligning 3D models to RGB-D images of cluttered scenes
- iGesture: A General Gesture Recognition Framework
- SATIN: a toolkit for informal ink-based applications
- Proposal generation for object detection using cascaded ranking SVMs
- Rate-Invariant Analysis of Trajectories on Riemannian Manifolds with Application in Visual Speech Recognition
- Multiscale Combinatorial Grouping
- Experimental evaluation of an on-line scribble recognizer
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- Handwritten script identification using possibilistic approach for cluster analysis
- An Overview of Corpus-Based Statistics-Oriented (CBSO) Techniques for Natural Language Processing
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- A Model of a Feed Forward Multi Layered Neural Network to Recognize Hand Written Bengali Digits
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