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- Haiyang Wang
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- Xucong Zhang
- Andreas Zinnen
- Research
- People Detection, Pose Estimation and Tracking
- How Far are We from Solving Pedestrian Detection?
- Person Recognition in Personal Photo Collections
- Taking a Deeper Look at Pedestrians
- Poselet Conditioned Pictorial Structures
- Articulated People Detection and Pose Estimation
- Leveraging 3D Body Model for Training Data Generation
- Multi-view Pictorial Structures for 3D Human Pose Estimation
- Learning People Detectors for Tracking in Crowded Scenes
- People Detection and Tracking
- Multi-Cue Onboard Pedestrian Detection
- Pictorial Structures Revisited: People Dectection and Articulated Pose Estimation
- Monocular 3D Pose Estimation and Tracking by Detection
- People-Tracking-by-Detection and People-Detection-by-Tracking
- Multiple People Tracking with Lifted Multicut and Person Re-identification
- Visual Privacy
- Adversarial Robustness
- Zero-Shot Learning
- f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
- Semantic Projection Network for Zero- and Few-Label Semantic Segmentation
- Gaze Embeddings for Zero-Shot Image Classification
- Feature Generating Networks for Zero-Shot Learning
- Evaluation of Output Embeddings for Fine-Grained Image Classification
- Learning Deep Representations of Fine-Grained Visual Descriptions
- Multi-Cue Zero-Shot Learning with Strong Supervision
- Latent Embeddings for Zero-shot Classification
- Zero-Shot Learning - The Good, the Bad and the Ugly
- Generative Models
- Vision and Language
- Human Activity Recognition
- Social Relation Recognition
- Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models
- MPII Cooking 2 Dataset
- MPII Cooking Activities Dataset
- MPII Cooking Composite Activities
- MPIIEmo Dataset
- Activity Spotting & Composite Activities
- Recognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label Space
- Knowledge Transfer and Semi-supervised Learning
- Weakly Supervised Learning
- Image Segmentation
- Video Segmentation
- VSB100: A Unified Video Segmentation Benchmark
- Video Segmentation with Superpixels
- Learning Must-Link Constraints for Video Segmentation
- Spectral graph reduction
- Classifier Based Graph Construction for Video Segmentation
- Improved Image Boundaries for Better Video Segmentation
- Multi-Class Video Co-Segmentation
- RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling
- Learning Video Object Segmentation from Static Images
- Lucid Data Dreaming for Object Tracking
- Video Object Segmentation with Language Referring Expressions
- Object Recognition and Scene Understanding
- Learning Non-Maximum Suppression
- Loss Functions for Top-k Error
- Top-k Multiclass SVM
- Output Kernel Learning
- Cityscapes Dataset
- What makes for effective detection proposals?
- Object Disambiguation for Augmented Reality Applications
- Differentiating HOG
- Cross-Modal Stereo by Using Kinect
- Scalable Multitask Representation Learning for Scene Classification
- Learning Using Privileged Information: SVM+ and Weighted SVM
- Learning Smooth Pooling Regions for Visual Recognition
- Recognizing Materials from Virtual Examples
- MPII Multi-Kinect Dataset
- Teaching 3D Geometry to Deformable Part Models
- Image Warping For Face Recognition
- Addressing scalability in object recognition
- Monocular Scene Understanding from Moving Platforms
- Gaze-Based Human-Computer Interaction
- Forecasting User Attention During Everyday Mobile Interactions Using Device-Integrated and Wearable Sensors
- Fixation Detection for Head-Mounted Eye Tracking Based on Visual Similarity of Gaze Targets
- InvisibleEye: Mobile Eye Tracking Using Multiple Low-Resolution Cameras and Learning-Based Gaze Estimation
- Towards High-Frequency SSVEP-Based Target Discrimination with an Extended Alphanumeric Keyboard
- Deep Gaze Pooling: Inferring and Reconstructing Search Intent From Human Fixations
- 3D Gaze Estimation from 2D Pupil Positions on Monocular Head-Mounted Eye Trackers
- Prediction of Search Targets From Fixations in Open-World Settings
- Appearance-Based Gaze Estimation in the Wild
- Revisiting Data Normalization for Appearance-Based Gaze Estimation
- It’s Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation
- Labelled Pupils in the Wild (LPW)
- 3D Reconstruction and Perception of People
- Generative Models of 3D People
- Human Pose Estimation from Video and IMU
- People Detection, Pose Estimation and Tracking
- Application
- Teaching at Saarland University (UdS)
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- Friedemann Lipphardt
- Ha Dao Thi Thu
- Iman Alipour
- Iris Wagner
- Johannes Zirngibl
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- Pascal Hennen
- Qi Guo
- Rainer May
- Sebastian Kappes
- Seifeddine Fathalli
- Simran Munot
- Sina Rostami
- Taha Albakour
- Tiago Heinrich
- Tobias Fiebig
- Vaishnavi Raghavajosyula
- Zubair Sediqi
- Research
- Analysis of the Covid-19 pandemic
- Benchmarking congestion-control algorithms
- Care, People, Gender, Culture
- Digital Infrastructure
- Emerging Platforms and Communities on the Web
- Flow queries
- Future-proof the Internet
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- Teaching
- Data Networks - Summer 2024
- Data Networks - Summer 2023
- Data Networks - Summer 2022
- Data Networks - Summer 2021
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- Data Networks - Winter 2018/2019
- Hot Topics in Data Networks - Winter 2024/2025
- Hot Topics in Data Networks - Winter 2023/2024
- Hot Topics in Data Networks - Winter 2022/2023
- Hot Topics in Data Networks - Winter 2021/2022
- Hot Topics in Data Networks - Winter 2020/2021
- Router Lab
- On the Practice of System and Network Engineering - Winter 2024
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- Completeness rule mining
- COOL-WD
- Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases
- Tutorials
- Completeness, Recall, and Negation in Open-World Knowledge Bases - KR 2021 tutorial
- Completeness, Recall, and Negation in Open-World Knowledge Bases - ISWC'21 Tutorial
- Completeness, Recall, and Negation in Open-World Knowledge Bases - VLDB'21 Tutorial
- Completeness, Recall, and Negation in Open-World Knowledge Bases - WWW'22 Tutorial
- Google Award
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- Counterfactual Explanations for Recommenders
- Credibility Analysis in News Communities
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- Probabilistic Graphical Models for Credibility Analysis
- Deep Learning based Credibility Analysis
- Web Credibility Analysis
- R-Susceptibility
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