Poier, G.[Georg]
* 2011: Multi-cue learning and visualization of unusual events
* 2011: OUTLIER: Online learning and visualization of unusual events
* 2014: Hough Forests Revisited: An Approach to Multiple Instance Tracking from Multiple Cameras
* 2015: Hybrid One-Shot 3D Hand Pose Estimation by Exploiting Uncertainties
* 2016: Grid Loss: Detecting Occluded Faces
* 2018: Learning Pose Specific Representations by Predicting Different Views
* 2019: MURAUER: Mapping Unlabeled Real Data for Label AUstERity
* 2021: Semi-Supervised Learning of Monocular 3D Hand Pose Estimation from Multi-View Images
Includes: Poier, G.[Georg] Poier, G.
8 for Poier, G.
Poiesi, F.[Fabio]
* 2010: Detector-less ball localization using context and motion flow analysis
* 2013: Detection and tracking of groups in crowd
* 2013: Multi-target tracking on confidence maps: An application to people tracking
* 2014: Assessing tracking assessment measures
* 2014: Measures of Effective Video Tracking
* 2015: Predicting and recognizing human interactions in public spaces
* 2015: Tracking Multiple High-Density Homogeneous Targets
* 2016: Detection of fast incoming objects with a moving camera
* 2016: Online Multi-target Tracking with Strong and Weak Detections
* 2017: Smartphone-based 3D Pipeline for the Creative Industry: the Replicate EU Project, A
* 2017: Support Vector Motion Clustering
* 2019: 3D Shape Segmentation with Geometric Deep Learning
* 2019: View-LSTM: Novel-View Video Synthesis Through View Decomposition
* 2020: Localisation of Defects in Volumetric Computed Tomography Scans of Valuable Wood Logs
* 2020: Novel-view Human Action Synthesis
* 2021: Distinctive 3D local deep descriptors
* 2022: CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation
* 2022: GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation
* 2022: Performance comparison of image enhancers with and without deep learning
* 2023: 1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
* 2023: Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation
* 2023: Learning General and Distinctive 3D Local Deep Descriptors for Point Cloud Registration
* 2023: MONET dataset: Multimodal drone thermal dataset recorded in rural scenarios, The
* 2023: Novel Class Discovery for 3D Point Cloud Semantic Segmentation
* 2023: Overlap-guided Gaussian Mixture Models for Point Cloud Registration
* 2023: PatchMixer: Rethinking network design to boost generalization for 3D point cloud understanding
* 2023: Revisiting Fully Convolutional Geometric Features for Object 6D Pose Estimation
* 2023: VM-NERF: Tackling Sparsity in NeRF with View Morphing
* 2024: 6dgs: 6d Pose Estimation from a Single Image and a 3d Gaussian Splatting Model
* 2024: Delving into CLIP latent space for Video Anomaly Recognition
* 2024: Freeze: Training-Free Zero-Shot 6D Pose Estimation with Geometric and Vision Foundation Models
* 2024: Geometrically-Driven Aggregation for Zero-Shot 3D Point Cloud Understanding
* 2024: Open-vocabulary object 6D pose estimation
* 2024: Unsupervised Point Cloud Representation Learning by Clustering and Neural Rendering
* 2025: 3D Part Segmentation via Geometric Aggregation of 2D Visual Features
* 2025: Cross-Modal and Uncertainty-Aware Agglomeration for Open-Vocabulary 3D Scene Understanding
* 2025: Fully-Geometric Cross-Attention for Point Cloud Registration
* 2025: Functionality understanding and segmentation in 3D scenes
* 2025: Novel Class Discovery Meets Foundation Models for 3D Semantic Segmentation
* 2025: PerLA: Perceptive 3D language assistant
* 2025: Vocabulary-Free 3D Instance Segmentation with Vision-Language Assistant
* 2026: High-Resolution Open-Vocabulary Object 6D Pose Estimation
Includes: Poiesi, F.[Fabio] Poiesi, F.
42 for Poiesi, F.