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09/15/2023
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels
Pre-trained vision transformers have strong representation benefits to v...
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08/23/2023
Multi-stage Factorized Spatio-Temporal Representation for RGB-D Action and Gesture Recognition
RGB-D action and gesture recognition remain an interesting topic in huma...
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08/12/2023
Revisiting Vision Transformer from the View of Path Ensemble
Vision Transformers (ViTs) are normally regarded as a stack of transform...
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07/24/2023
Audio-Enhanced Text-to-Video Retrieval using Text-Conditioned Feature Alignment
Text-to-video retrieval systems have recently made significant progress ...
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04/01/2023
DOAD: Decoupled One Stage Action Detection Network
Localizing people and recognizing their actions from videos is a challen...
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03/25/2023
Selective Structured State-Spaces for Long-Form Video Understanding
Effective modeling of complex spatiotemporal dependencies in long-form v...
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03/14/2023
Revisit Parameter-Efficient Transfer Learning: A Two-Stage Paradigm
Parameter-Efficient Transfer Learning (PETL) aims at efficiently adaptin...
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01/11/2023
Head-Free Lightweight Semantic Segmentation with Linear Transformer
Existing semantic segmentation works have been mainly focused on designi...
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11/16/2022
A Unified Multimodal De- and Re-coupling Framework for RGB-D Motion Recognition
Motion recognition is a promising direction in computer vision, but the ...
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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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09/29/2022
Effective Vision Transformer Training: A Data-Centric Perspective
Vision Transformers (ViTs) have shown promising performance compared wit...
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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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03/24/2022
EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
Locating 3D objects from a single RGB image via Perspective-n-Points (Pn...
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02/19/2022
BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian Perspective
Triplet loss, one of the deep metric learning (DML) methods, is to learn...
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01/21/2022
Image-to-Video Re-Identification via Mutual Discriminative Knowledge Transfer
The gap in representations between image and video makes Image-to-Video ...
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11/24/2021
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation
Estimating 3D human poses from monocular videos is a challenging task du...
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04/15/2021
TransRPPG: Remote Photoplethysmography Transformer for 3D Mask Face Presentation Attack Detection
3D mask face presentation attack detection (PAD) plays a vital role in s...
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03/30/2021
Augmented Transformer with Adaptive Graph for Temporal Action Proposal Generation
Temporal action proposal generation (TAPG) is a fundamental and challeng...
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03/26/2021
Lifting Transformer for 3D Human Pose Estimation in Video
Despite great progress in video-based 3D human pose estimation, it is st...
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02/08/2021
TransReID: Transformer-based Object Re-Identification
In this paper, we explore the Vision Transformer (ViT), a pure transform...
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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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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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02/21/2020
RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks
The monitoring and management of numerous and diverse time series data a...
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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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07/06/2017
Skeleton-based Action Recognition Using LSTM and CNN
Recent methods based on 3D skeleton data have achieved outstanding perfo...
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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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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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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
