activity
20202025
most citedThe Revisiting Problem in Simultaneous Localization and Mapping: A Survey on Visual Loop Closure Detection

173 citations · 180 across the 8 of their papers we have counts for

collaborators

8 papers

cs.RO2025

ReJSHand: Efficient Real-Time Hand Pose Estimation and Mesh Reconstruction Using Refined Joint and Skeleton Features

Shan An, Shipeng Dai, Mahrukh Ansari +5

Accurate hand pose estimation is vital in robotics, advancing dexterous manipulation in human-computer interaction. Toward this goal, this paper presents ReJSHand (which stands for…

cs.CV2024

Future Aspects in Human Action Recognition: Exploring Emerging Techniques and Ethical Influences

Antonios Gasteratos, Stavros N. Moutsis, Konstantinos A. Tsintotas +1

Visual-based human action recognition can be found in various application fields, e.g., surveillance systems, sports analytics, medical assistive technologies, or human-robot inter…

eess.IV2024

Spiking neural networks: Towards bio-inspired multimodal perception in robotics

Katerina Maria Oikonomou, Vasiliki Balaska, Konstantinos A. Tsintotas +3

Spiking neural networks (SNNs) have captured apparent interest over the recent years, stemming from neuroscience and reaching the field of artificial intelligence. However, due to…

cs.CV2024

Exploring Emerging Trends and Research Opportunities in Visual Place Recognition

Antonios Gasteratos, Konstantinos A. Tsintotas, Tobias Fischer +2

Visual-based recognition, e.g., image classification, object detection, etc., is a long-standing challenge in computer vision and robotics communities. Concerning the roboticists,…

cs.RO2022★ 173 cited

The Revisiting Problem in Simultaneous Localization and Mapping: A Survey on Visual Loop Closure Detection

Konstantinos A. Tsintotas, Loukas Bampis, Antonios Gasteratos

Where am I? This is one of the most critical questions that any intelligent system should answer to decide whether it navigates to a previously visited area. This problem has long…

cs.CV2021

Real-Time Monocular Human Depth Estimation and Segmentation on Embedded Systems

Shan An, Fangru Zhou, Mei Yang +3

Estimating a scene's depth to achieve collision avoidance against moving pedestrians is a crucial and fundamental problem in the robotic field. This paper proposes a novel, low com…

cs.RO2021★ 1 cited

Fast Monocular Hand Pose Estimation on Embedded Systems

Shan An, Xiajie Zhang, Dong Wei +3

Hand pose estimation is a fundamental task in many human-robot interaction-related applications. However, previous approaches suffer from unsatisfying hand landmark predictions in…

cs.CV2020★ 6 cited

Fast and Incremental Loop Closure Detection with Deep Features and Proximity Graphs

Shan An, Haogang Zhu, Dong Wei +2

In recent years, the robotics community has extensively examined methods concerning the place recognition task within the scope of simultaneous localization and mapping application…