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Found 10 papers, 5 papers with code
Straight to Shapes++: Real-time Instance Segmentation Made More Accurate
The STS model can run at 35 FPS on a high-end desktop, but its accuracy is significantly worse than that of offline state-of-the-art methods.
InfiniTAM v3: A Framework for Large-Scale 3D Reconstruction with Loop Closure
Representing the reconstruction volumetrically as a TSDF leads to most of the simplicity and efficiency that can be achieved with GPU implementations of these systems.
Spatio-temporal Human Action Localisation and Instance Segmentation in Temporally Untrimmed Videos
Current state-of-the-art human action recognition is focused on the classification of temporally trimmed videos in which only one action occurs per frame.
Incremental Tube Construction for Human Action Detection
In this work, we introduce a real-time and online joint-labelling and association algorithm for action detection that can incrementally construct space-time action tubes on the most challenging action videos in which different action categories occur concurrently.
Online Real-time Multiple Spatiotemporal Action Localisation and Prediction
To the best of our knowledge, ours is the first real-time (up to 40fps) system able to perform online S/T action localisation and early action prediction on the untrimmed videos of UCF101-24.
Straight to Shapes: Real-time Detection of Encoded Shapes
To achieve this, we use a denoising convolutional auto-encoder to establish an embedding space, and place the decoder after a fast end-to-end network trained to regress directly to the encoded shape vectors.
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Semantic Contour Prediction
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Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos
In stage 2, the appearance network detections are boosted by combining them with the motion detection scores, in proportion to their respective spatial overlap.
Joint Object-Material Category Segmentation from Audio-Visual Cues
It is not always possible to recognise objects and infer material properties for a scene from visual cues alone, since objects can look visually similar whilst being made of very different materials.
SemanticPaint: A Framework for the Interactive Segmentation of 3D Scenes
We present an open-source, real-time implementation of SemanticPaint, a system for geometric reconstruction, object-class segmentation and learning of 3D scenes.
Feature sampling and partitioning for visual vocabulary generation on large action classification datasets
The recent trend in action recognition is towards larger datasets, an increasing number of action classes and larger visual vocabularies.
