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09/16/2023
Sub-action Prototype Learning for Point-level Weakly-supervised Temporal Action Localization
Point-level weakly-supervised temporal action localization (PWTAL) aims ...
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10/06/2022
Focal and Global Spatial-Temporal Transformer for Skeleton-based Action Recognition
Despite great progress achieved by transformer in various vision tasks, ...
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09/21/2022
FT-HID: A Large Scale RGB-D Dataset for First and Third Person Human Interaction Analysis
Analysis of human interaction is one important research topic of human m...
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08/06/2022
Contrastive Positive Mining for Unsupervised 3D Action Representation Learning
Recent contrastive based 3D action representation learning has made grea...
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06/17/2022
Learning Using Privileged Information for Zero-Shot Action Recognition
Zero-Shot Action Recognition (ZSAR) aims to recognize video actions that...
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11/13/2021
A Central Difference Graph Convolutional Operator for Skeleton-Based Action Recognition
This paper proposes a new graph convolutional operator called central di...
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10/29/2021
Novel View Synthesis from a Single Image via Unsupervised learning
View synthesis aims to generate novel views from one or more given sourc...
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09/27/2021
Context-guided Triple Matching for Multiple Choice Question Answering
The task of multiple choice question answering (MCQA) refers to identify...
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01/22/2021
A Two-stream Neural Network for Pose-based Hand Gesture Recognition
Pose based hand gesture recognition has been widely studied in the recen...
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01/05/2021
Trear: Transformer-based RGB-D Egocentric Action Recognition
In this paper, we propose a Transformer-based RGB-D egocentric action re...
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11/01/2020
IndRNN Based Long-term Temporal Recognition in the Spatial and Frequency Domain
Smartphone sensors based human activity recognition is attracting increa...
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10/29/2020
SAR-NAS: Skeleton-based Action Recognition via Neural Architecture Searching
This paper presents a study of automatic design of neural network archit...
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05/26/2020
Unsupervised Domain Expansion from Multiple Sources
Given an existing system learned from previous source domains, it is des...
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10/11/2019
Deep Independently Recurrent Neural Network (IndRNN)
Recurrent neural networks (RNNs) are known to be difficult to train due ...
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04/16/2018
A Fusion Framework for Camouflaged Moving Foreground Detection in the Wavelet Domain
Detecting camouflaged moving foreground objects has been known to be dif...
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03/25/2018
Importance Weighted Adversarial Nets for Partial Domain Adaptation
This paper proposes an importance weighted adversarial nets-based method...
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03/25/2018
Unsupervised Domain Adaptation: A Multi-task Learning-based Method
This paper presents a novel multi-task learning-based method for unsuper...
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03/13/2018
Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN
Recurrent neural networks (RNNs) have been widely used for processing se...
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10/31/2017
RGB-D-based Human Motion Recognition with Deep Learning: A Survey
Human motion recognition is one of the most important branches of human-...
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07/11/2017
Foreground Detection in Camouflaged Scenes
Foreground detection has been widely studied for decades due to its impo...
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07/06/2017
Skeleton-based Action Recognition Using LSTM and CNN
Recent methods based on 3D skeleton data have achieved outstanding perfo...
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06/16/2017
A Fully Trainable Network with RNN-based Pooling
Pooling is an important component in convolutional neural networks (CNNs...
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05/16/2017
Joint Geometrical and Statistical Alignment for Visual Domain Adaptation
This paper presents a novel unsupervised domain adaptation method for cr...
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05/11/2017
Transfer Learning for Cross-Dataset Recognition: A Survey
This paper summarises and analyses the cross-dataset recognition transfe...
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05/02/2017
Investigation of Different Skeleton Features for CNN-based 3D Action Recognition
Deep learning techniques are being used in skeleton based action recogni...
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02/28/2017
Scene Flow to Action Map: A New Representation for RGB-D based Action Recognition with Convolutional Neural Networks
Scene flow describes the motion of 3D objects in real world and potentia...
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01/07/2017
Large-scale Isolated Gesture Recognition Using Convolutional Neural Networks
This paper proposes three simple, compact yet effective representations ...
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12/30/2016
Action Recognition Based on Joint Trajectory Maps with Convolutional Neural Networks
Convolutional Neural Networks (ConvNets) have recently shown promising p...
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11/08/2016
Action Recognition Based on Joint Trajectory Maps Using Convolutional Neural Networks
Recently, Convolutional Neural Networks (ConvNets) have shown promising ...
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10/27/2016
Exploiting Structure Sparsity for Covariance-based Visual Representation
The past few years have witnessed increasing research interest on covari...
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08/22/2016
Large-scale Continuous Gesture Recognition Using Convolutional Neural Networks
This paper addresses the problem of continuous gesture recognition from ...
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04/01/2016
Learning a Pose Lexicon for Semantic Action Recognition
This paper presents a novel method for learning a pose lexicon comprisin...
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02/22/2016
Planogram Compliance Checking Based on Detection of Recurring Patterns
In this paper, a novel method for automatic planogram compliance checkin...
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02/22/2016
Creating Simplified 3D Models with High Quality Textures
This paper presents an extension to the KinectFusion algorithm which all...
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02/01/2016
Combining ConvNets with Hand-Crafted Features for Action Recognition Based on an HMM-SVM Classifier
This paper proposes a new framework for RGB-D-based action recognition t...
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01/21/2016
RGB-D-based Action Recognition Datasets: A Survey
Human action recognition from RGB-D (Red, Green, Blue and Depth) data ha...
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11/10/2015
Online Action Recognition based on Incremental Learning of Weighted Covariance Descriptors
Different from traditional action recognition based on video segments, o...
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01/20/2015
Deep Convolutional Neural Networks for Action Recognition Using Depth Map Sequences
Recently, deep learning approach has achieved promising results in vario...
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09/14/2014
Mining Mid-level Features for Action Recognition Based on Effective Skeleton Representation
Recently, mid-level features have shown promising performance in compute...
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07/08/2014
