Learning Spatio Temporal Feature Representations

Media Summary: Poster presentation video for our paper " Similar Trajectory Search with Spatio-temporal Deep Representation Learning Authors: Yuan Yao, Chang Liu, Dezhao Luo, Yu Zhou, Qixiang Ye Description: In self-supervised

Learning Spatio Temporal Feature Representations - Detailed Analysis & Overview

Poster presentation video for our paper " Similar Trajectory Search with Spatio-temporal Deep Representation Learning Authors: Yuan Yao, Chang Liu, Dezhao Luo, Yu Zhou, Qixiang Ye Description: In self-supervised Authors: Takumi Kobayashi; Jiaxing Ye Description: As 2D-CNNs are growing in image recognition literature, 3D-CNNs are ... Papers ▭▭▭▭▭▭▭▭▭▭▭▭ Paper Abstract: Novel Few-shot action recognition framework, STRM, is proposed for

Authors: Liu, Xin*; Zhang, Huanle; Pirsiavash, Hamed; Liu, Xin Description: We propose MASTAF, a Model-Agnostic ... Spatio-temporal data modeling with graphs: methods and applications Hello everyone today is my great honor to present our work self-supervised fully special Join Karol Zak on a tour of video action detection using deep Authors: Gurkirt Singh (ETH Zurich)*; Vasileios Choutas (ETH Zurich); Suman Saha (ETH Zurich); Fisher Yu (ETH Zurich); Luc Van ... This video is a media attachment to the following paper: Enhancing Human Action Recognition through

... Workshop on Action Recognition with a Large Number of Classes Lecure: A

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Learning Spatio-Temporal Feature Representations for Video-Based Gaze Estimation [WACV 2026]

Similar Trajectory Search with Spatio-temporal Deep Representation Learning

UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs

Over-squashing in Spatiotemporal Graph Neural Networks

Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning

The basics of spatio-temporal graph neural networks

Spatio-Temporal Filter Analysis Improves 3D-CNN for Action Classification

Friendly Introduction to Temporal Graph Neural Networks (and some Traffic Forecasting)

Spatio-temporal Relation Modeling for Few-shot Action Recognition | CVPR 2022

Hierarchical Spatio-Temporal Representation Learning for Gait Recognition

Spatio-Temporal Saliency of Motion Features for Action Recognition

MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-shot Video Classification

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Learning Spatio-Temporal Feature Representations for Video-Based Gaze Estimation [WACV 2026]

Learning Spatio-Temporal Feature Representations for Video-Based Gaze Estimation [WACV 2026]

Poster presentation video for our paper "

Similar Trajectory Search with Spatio-temporal Deep Representation Learning

Similar Trajectory Search with Spatio-temporal Deep Representation Learning

Similar Trajectory Search with Spatio-temporal Deep Representation Learning

UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs

UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs

Temporal Graph

Over-squashing in Spatiotemporal Graph Neural Networks

Over-squashing in Spatiotemporal Graph Neural Networks

Temporal Graph

Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning

Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning

Authors: Yuan Yao, Chang Liu, Dezhao Luo, Yu Zhou, Qixiang Ye Description: In self-supervised

The basics of spatio-temporal graph neural networks

The basics of spatio-temporal graph neural networks

Graph machine

Spatio-Temporal Filter Analysis Improves 3D-CNN for Action Classification

Spatio-Temporal Filter Analysis Improves 3D-CNN for Action Classification

Authors: Takumi Kobayashi; Jiaxing Ye Description: As 2D-CNNs are growing in image recognition literature, 3D-CNNs are ...

Friendly Introduction to Temporal Graph Neural Networks (and some Traffic Forecasting)

Friendly Introduction to Temporal Graph Neural Networks (and some Traffic Forecasting)

Papers ▭▭▭▭▭▭▭▭▭▭▭▭

Spatio-temporal Relation Modeling for Few-shot Action Recognition | CVPR 2022

Spatio-temporal Relation Modeling for Few-shot Action Recognition | CVPR 2022

Paper Abstract: Novel Few-shot action recognition framework, STRM, is proposed for

Hierarchical Spatio-Temporal Representation Learning for Gait Recognition

Hierarchical Spatio-Temporal Representation Learning for Gait Recognition

Hierarchical

Spatio-Temporal Saliency of Motion Features for Action Recognition

Spatio-Temporal Saliency of Motion Features for Action Recognition

Human actions are

MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-shot Video Classification

MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-shot Video Classification

Authors: Liu, Xin*; Zhang, Huanle; Pirsiavash, Hamed; Liu, Xin Description: We propose MASTAF, a Model-Agnostic ...

Spatio-temporal data modeling with graphs: methods and applications

Spatio-temporal data modeling with graphs: methods and applications

Spatio-temporal data modeling with graphs: methods and applications

167 - Self-supervised 4D Spatio-temporal Feature Learning via Order Prediction of Sequential Point

167 - Self-supervised 4D Spatio-temporal Feature Learning via Order Prediction of Sequential Point

Hello everyone today is my great honor to present our work self-supervised fully special

KDD 2023 - Generative Causal Interpretation Model for Spatio-Temporal Representation Learning

KDD 2023 - Generative Causal Interpretation Model for Spatio-Temporal Representation Learning

Yu Zhao, Beihang University.

Paper Review Call 021 - Learning spatiotemporal features with 3d convolutional networks

Paper Review Call 021 - Learning spatiotemporal features with 3d convolutional networks

Join Karol Zak on a tour of video action detection using deep

Spatio-Temporal Action Detection Under Large Motion

Spatio-Temporal Action Detection Under Large Motion

Authors: Gurkirt Singh (ETH Zurich)*; Vasileios Choutas (ETH Zurich); Suman Saha (ETH Zurich); Fisher Yu (ETH Zurich); Luc Van ...

SpaER: Learning Spatio-temporal Equivariant Representations for Fetal Brain Motion Track

SpaER: Learning Spatio-temporal Equivariant Representations for Fetal Brain Motion Track

Original paper: https://arxiv.org/abs/2407.20198 Title: SpaER:

Enhancing Human Action Recognition through Spatio-temporal Feature Learning and Semantic Rules.

Enhancing Human Action Recognition through Spatio-temporal Feature Learning and Semantic Rules.

This video is a media attachment to the following paper: Enhancing Human Action Recognition through

A Spatio-Temporal Feature based on Triangulation of Dense SURF

A Spatio-Temporal Feature based on Triangulation of Dense SURF

... Workshop on Action Recognition with a Large Number of Classes Lecure: A

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