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 ... To develop an Artificial Intelligence (AI) system that can understand the world around us, it needs to be able to interpret and ... Authors: Liu, Xin*; Zhang, Huanle; Pirsiavash, Hamed; Liu, Xin Description: We propose MASTAF, a Model-Agnostic ...

Paper Abstract: Novel Few-shot action recognition framework, STRM, is proposed for Authors: Gurkirt Singh (ETH Zurich)*; Vasileios Choutas (ETH Zurich); Suman Saha (ETH Zurich); Fisher Yu (ETH Zurich); Luc Van ... If you have any copyright issues on video, please send us an email at khawar512.com Top CV and PR Conferences: ... This video is a media attachment to the following paper: Enhancing Human Action Recognition through Hello everyone today is my great honor to present our work self-supervised fully special Spatio-temporal data modeling with graphs: methods and applications

Papers ▭▭▭▭▭▭▭▭▭▭▭▭ Authors: Yingtao Luo (University of Washington), Qiang Liu (RealAI) and Zhaocheng Liu (RealAI).

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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
Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning
UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs
The basics of spatio-temporal graph neural networks
Spatio-Temporal Filter Analysis Improves 3D-CNN for Action Classification
Spatio-Temporal Saliency of Motion Features for Action Recognition
Hierarchical Spatio-Temporal Representation Learning for Gait Recognition
Over-squashing in Spatiotemporal Graph Neural Networks
Towards Grounded Spatio-Temporal Reasoning
MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-shot Video Classification
Spatio-temporal Relation Modeling for Few-shot Action Recognition | CVPR 2022
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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

Sponsored
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

UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs

UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs

Temporal Graph

The basics of spatio-temporal graph neural networks

The basics of spatio-temporal graph neural networks

Graph machine

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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 ...

Spatio-Temporal Saliency of Motion Features for Action Recognition

Spatio-Temporal Saliency of Motion Features for Action Recognition

Human actions are

Hierarchical Spatio-Temporal Representation Learning for Gait Recognition

Hierarchical Spatio-Temporal Representation Learning for Gait Recognition

Hierarchical

Over-squashing in Spatiotemporal Graph Neural Networks

Over-squashing in Spatiotemporal Graph Neural Networks

Temporal Graph

Towards Grounded Spatio-Temporal Reasoning

Towards Grounded Spatio-Temporal Reasoning

To develop an Artificial Intelligence (AI) system that can understand the world around us, it needs to be able to interpret and ...

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 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

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 ...

TubeDETR: Spatio Temporal Video Grounding With Transformers | CVPR 2022

TubeDETR: Spatio Temporal Video Grounding With Transformers | CVPR 2022

If you have any copyright issues on video, please send us an email at khawar512@gmail.com Top CV and PR Conferences: ...

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

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

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

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.

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

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

Papers ▭▭▭▭▭▭▭▭▭▭▭▭

STAN: Spatio-Temporal Attention Network for next Point-of-Interest Recommendation

STAN: Spatio-Temporal Attention Network for next Point-of-Interest Recommendation

Authors: Yingtao Luo (University of Washington), Qiang Liu (RealAI) and Zhaocheng Liu (RealAI).

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