Alexandros Stergiou

According to our database, Alexandros Stergiou authored at least 24 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

About Time: Advances, Challenges, and Outlooks of Action Understanding.

Alexandros Stergiou, Ronald Poppe

CoRR, 2024

LAVIB: A Large-scale Video Interpolation Benchmark.

Alexandros Stergiou

CoRR, 2024

Holistic Representation Learning for Multitask Trajectory Anomaly Detection.

Alexandros Stergiou, Brent De Weerdt, Nikos Deligiannis

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Every Shot Counts: Using Exemplars for Repetition Counting in Videos.

Saptarshi Sinha, Alexandros Stergiou, Dima Damen

Proceedings of the Computer Vision - ACCV 2024, 2024

2023

AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling.

Alexandros Stergiou, Ronald Poppe

IEEE Trans. Image Process., 2023

Leaping Into Memories: Space-Time Deep Feature Synthesis.

Alexandros Stergiou, Nikos Deligiannis

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Play It Back: Iterative Attention For Audio Recognition.

Alexandros Stergiou, Dima Damen

Proceedings of the IEEE International Conference on Acoustics, 2023

The Wisdom of Crowds: Temporal Progressive Attention for Early Action Prediction.

Alexandros Stergiou, Dima Damen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Temporal Progressive Attention for Early Action Prediction.

Alexandros Stergiou, Dima Damen

CoRR, 2022

2021

Efficient Modelling Across Time of Human Actions and Interactions.

Alexandros Georgios Stergiou

PhD thesis, 2021

Learn to cycle: Time-consistent feature discovery for action recognition.

Alexandros Stergiou, Ronald Poppe

Pattern Recognit. Lett., 2021

Efficient Modelling Across Time of Human Actions and Interactions.

Alexandros Stergiou

CoRR, 2021

Multi-Temporal Convolutions for Human Action Recognition in Videos.

Alexandros Stergiou, Ronald Poppe

Proceedings of the International Joint Conference on Neural Networks, 2021

The Mind's Eye: Visualizing Class-Agnostic Features of CNNS.

Alexandros Stergiou

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Refining activation downsampling with SoftPool.

Alexandros Stergiou, Ronald Poppe, Grigorios Kalliatakis

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Right on Time: Multi-Temporal Convolutions for Human Action Recognition in Videos.

Alexandros Stergiou, Ronald Poppe

CoRR, 2020

Learning Class Regularized Features for Action Recognition.

Alexandros Stergiou, Ronald Poppe, Remco C. Veltkamp

CoRR, 2020

2019

Analyzing human-human interactions: A survey.

Alexandros Stergiou, Ronald Poppe

Comput. Vis. Image Underst., 2019

Spatio-Temporal FAST 3D Convolutions for Human Action Recognition.

Alexandros Stergiou, Ronald Poppe

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions.

Alexandros Stergiou, Georgios Kapidis, Grigorios Kalliatakis, Christos Chrysoulas, Remco C. Veltkamp, Ronald Poppe

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Class Feature Pyramids for Video Explanation.

Alexandros Stergiou, Georgios Kapidis, Grigorios Kalliatakis, Christos Chrysoulas, Ronald Poppe, Remco C. Veltkamp

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Understanding human-human interactions: a survey.

Alexandros Stergiou, Ronald Poppe

CoRR, 2018

Traffic Sign Recognition based on Synthesised Training Data.

Alexandros Stergiou, Grigorios Kalliatakis, Christos Chrysoulas

Big Data Cogn. Comput., 2018

2017

Conceiving Human Interaction by Visualising Depth Data of Head Pose Changes and Emotion Recognition via Facial Expressions.

Grigorios Kalliatakis, Alexandros Stergiou, Nikolaos Vidakis

Comput., 2017