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Found 19 papers, 5 papers with code
End-to-End Streaming Video Temporal Action Segmentation with Reinforce Learning
The end-to-end SVTAS which regard TAS as an action segment clustering task can expand the application scenarios of TAS; and RL is used to alleviate the problem of inconsistent optimization objective and direction.
Reducing the Label Bias for Timestamp Supervised Temporal Action Segmentation
Timestamp supervised temporal action segmentation (TSTAS) is more cost-effective than fully supervised counterparts.
Spatial Temporal Graph Attention Network for Skeleton-Based Action Recognition
In such conditions, short-term dependencies are few formally considered, which are critical for classifying similar actions.
Ranked #1 on
Skeleton Based Action Recognition
on Kinetics-400
Efficient Two-Step Networks for Temporal Action Segmentation
Due to boundary ambiguity and over-segmentation issues, identifying all the frames in long untrimmed videos is still challenging.
Ranked #12 on
Action Segmentation
on GTEA
Self-Supervised Deep Graph Embedding with High-Order Information Fusion for Community Discovery
However, most self-supervised graph neural networks only use adjacency matrix as the input topology information of graph and cannot obtain too high-order information since the number of layers of graph neural network is fairly limited.
Angular Embedding: A New Angular Robust Principal Component Analysis
As a widely used method in machine learning, principal component analysis (PCA) shows excellent properties for dimensionality reduction.
Local Neighbor Propagation Embedding
Manifold Learning occupies a vital role in the field of nonlinear dimensionality reduction and its ideas also serve for other relevant methods.
Hierarchic Neighbors Embedding
Manifold learning now plays a very important role in machine learning and many relevant applications.
A fast online cascaded regression algorithm for face alignment
Traditional face alignment based on machine learning usually tracks the localizations of facial landmarks employing a static model trained offline where all of the training data is available in advance.
Bottom-up Broadcast Neural Network For Music Genre Classification
Music genre recognition based on visual representation has been successfully explored over the last years.
Color Recognition for Rubik's Cube Robot
We finally design a Rubik's cube robot and construct a dataset to illustrate the efficiency and effectiveness of our online methods and to indicate the ineffectiveness of offline method by color drifting in our dataset.
Multi-view Laplacian Eigenmaps Based on Bag-of-Neighbors For RGBD Human Emotion Recognition
As RGB view and depth view lie in different spaces, a new distance metric bag of neighbors (BON) used in MvLE can get the similar distributions of the two views.
Perceptual Visual Interactive Learning
Supervised learning methods are widely used in machine learning.
Hand Gesture Recognition with Leap Motion
The recent introduction of depth cameras like Leap Motion Controller allows researchers to exploit the depth information to recognize hand gesture more robustly.
Rough extreme learning machine: a new classification method based on uncertainty measure
Extreme learning machine (ELM) is a new single hidden layer feedback neural network.
Feature Fusion using Extended Jaccard Graph and Stochastic Gradient Descent for Robot
In this paper, we use Kinect and propose a feature graph fusion (FGF) for robot recognition.
Neural method for Explicit Mapping of Quasi-curvature Locally Linear Embedding in image retrieval
This paper proposed a new explicit nonlinear dimensionality reduction using neural networks for image retrieval tasks.
Perceptual uniform descriptor and Ranking on manifold: A bridge between image representation and ranking for image retrieval
Incompatibility of image descriptor and ranking is always neglected in image retrieval.
Three Tiers Neighborhood Graph and Multi-graph Fusion Ranking for Multi-feature Image Retrieval: A Manifold Aspect
Multi-feature fusion ranking can be utilized to improve the ranking list of query.
