most citedIn My Perspective, In My Hands: Accurate Egocentric 2D Hand Pose and Action Recognition

17 citations · 29 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CV2026

Towards Egocentric 3D Hand Pose Estimation in Unseen Domains

Wiktor Mucha, Michael Wray, Martin Kampel

We present V-HPOT, a novel approach for improving the cross-domain performance of 3D hand pose estimation from egocentric images across diverse, unseen domains. State-of-the-art me…

cs.CV2024

DATTA: Domain-Adversarial Test-Time Adaptation for Cross-Domain WiFi-Based Human Activity Recognition

Julian Strohmayer, Rafael Sterzinger, Matthias Wödlinger +1

Cross-domain generalization is an open problem in WiFi-based sensing due to variations in environments, devices, and subjects, causing domain shifts in channel state information. T…

cs.CV2024

WiFlexFormer: Efficient WiFi-Based Person-Centric Sensing

Julian Strohmayer, Matthias Wödlinger, Martin Kampel

We propose WiFlexFormer, a highly efficient Transformer-based architecture designed for WiFi Channel State Information (CSI)-based person-centric sensing. We benchmark WiFlexFormer…

cs.CV2024

FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection

Simon Gutwein, Martin Kampel, Sabine Taschner-Mandl +1

Detecting genetic aberrations is crucial in cancer diagnosis, typically through fluorescence in situ hybridization (FISH). However, existing FISH image classification methods face…

cs.CV2024

REST-HANDS: Rehabilitation with Egocentric Vision Using Smartglasses for Treatment of Hands after Surviving Stroke

Wiktor Mucha, Kentaro Tanaka, Martin Kampel

Stroke represents the third cause of death and disability worldwide, and is recognised as a significant global health problem. A major challenge for stroke survivors is persistent…

cs.CV2024

SPiKE: 3D Human Pose from Point Cloud Sequences

Irene Ballester, Ondřej Peterka, Martin Kampel

3D Human Pose Estimation (HPE) is the task of locating keypoints of the human body in 3D space from 2D or 3D representations such as RGB images, depth maps or point clouds. Current…

cs.CV2024

SHARP: Segmentation of Hands and Arms by Range using Pseudo-Depth for Enhanced Egocentric 3D Hand Pose Estimation and Action Recognition

Wiktor Mucha, Michael Wray, Martin Kampel

Hand pose represents key information for action recognition in the egocentric perspective, where the user is interacting with objects. We propose to improve egocentric 3D hand pose…

cs.CV2024★ 17 cited

In My Perspective, In My Hands: Accurate Egocentric 2D Hand Pose and Action Recognition

Wiktor Mucha, Martin Kampel

Action recognition is essential for egocentric video understanding, allowing automatic and continuous monitoring of Activities of Daily Living (ADLs) without user effort. Existing…

cs.CV2024

Closing the Gap in Human Behavior Analysis: A Pipeline for Synthesizing Trimodal Data

Christian Stippel, Thomas Heitzinger, Rafael Sterzinger +1

In pervasive machine learning, especially in Human Behavior Analysis (HBA), RGB has been the primary modality due to its accessibility and richness of information. However, linked…

cs.CV2024★ 3 cited

Through-Wall Imaging based on WiFi Channel State Information

Julian Strohmayer, Rafael Sterzinger, Christian Stippel +1

This work presents a seminal approach for synthesizing images from WiFi Channel State Information (CSI) in through-wall scenarios. Leveraging the strengths of WiFi, such as cost-ef…

cs.CV2024

Directional Antenna Systems for Long-Range Through-Wall Human Activity Recognition

Julian Strohmayer, Martin Kampel

WiFi Channel State Information (CSI)-based human activity recognition (HAR) enables contactless, long-range sensing in spatially constrained environments while preserving visual pr…

cs.CV2024★ 9 cited

Data Augmentation Techniques for Cross-Domain WiFi CSI-based Human Activity Recognition

Julian Strohmayer, Martin Kampel

The recognition of human activities based on WiFi Channel State Information (CSI) enables contactless and visual privacy-preserving sensing in indoor environments. However, poor mo…