Denzler, J.[Joachim]
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* email: Denzler, J.[Joachim]: denzler AT informatik uni-erlangen de
* 2D and 3D analysis of animal locomotion from biplanar X-ray videos using augmented active appearance models
* 3D Data-Driven Prediction for Active Contour Models Based on Geometric Bounding Volumes
* Active Computer Vision System
* Active Knowledge-Based Scene Analysis
* Active learning and discovery of object categories in the presence of unnameable instances
* Active motion detection and object tracking
* Active Rays: Polar-transformed Active Contours for Real-Time Contour Tracking
* Active Self-calibration of Multi-camera Systems
* Active Self-calibration of Multi-camera Systems
* Analysis-by-Synthesis Approach to Rope Condition Monitoring, An
* Analyzing the Behavior of Cauliflower Harvest-Readiness Models by Investigating Feature Relevances
* Analyzing the Subspaces Obtained by Dimensionality Reduction for Human Action Recognition from 3d Data
* Anatomical Landmark Tracking for the Analysis of Animal Locomotion in X-ray Videos Using Active Appearance Models
* Appearance Based Generic Object Modeling and Recognition Using Probabilistic Principal Component Analysis
* Appearance-based recognition of 3-D objects by cluttered background and occlusions
* Approximations of Gaussian Process Uncertainties for Visual Recognition Problems
* As Time Goes by: Anytime Semantic Segmentation with Iterative Context Forests
* Aspects of Optimal Viewpoint Selection and Viewpoint Fusion
* Beyond thinking in common categories: Predicting obstacle vulnerability using large random codebooks
* Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates
* Classification of Microorganisms via Raman Spectroscopy Using Gaussian Processes
* Classification-Specific Parts for Improving Fine-Grained Visual Categorization
* Coarse registration of 3D surface triangulations based on moment invariants with applications to object alignment and identification
* combination of generative and discriminative models for fast unsupervised activity recognition from traffic scene videos, A
* Combined GKLT Feature Tracking and Reconstruction for Next Best View Planning
* Combining Appearance and Range Based Information for Multi-class Generic Object Recognition
* Combining Computer Graphics and Computer Vision for Probabilistic Visual Robot Navigation
* Combining Structure and Appearance for Anomaly Detection in Wire Ropes
* Comparative Evaluation of Template and Histogram Based 2D Tracking Algorithms, A
* Comparison of Nearest Neighbor Search Algorithms for Generic Object Recognition, A
* Conditional dependence tests reveal the usage of ABCD rule features and bias variables in automatic skin lesion classification
* Content-based Image Retrieval and the Semantic Gap in the Deep Learning Era
* Convolutional Neural Networks as a Computational Model for the Underlying Processes of Aesthetics Perception
* Croatian Fish Dataset: Fine-grained classification of fish species in their natural habitat
* Deep Learning on Small Datasets without Pre-Training using Cosine Loss
* Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection
* Detection of Planar Patches in Handheld Image Sequences
* Determining the Relevance of Features for Deep Neural Networks
* Divergence-Based One-Class Classification Using Gaussian Processes
* EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task
* Efficient Adaptive Combination of Histograms for Real-Time Tracking
* Efficient Combination of 2-D and 3-D Shape Descriptions for Contour-Based Tracking of Moving Objects, An
* Efficient Combination of Histograms for Real-Time Tracking Using Mean-Shift and Trust-Region Optimization
* Efficient semantic segmentation with Gaussian processes and histogram intersection kernels
* Efficient Shortest Triangle Paths Algorithm Applied to Multi-camera Self-calibration, An
* Efficient Shortest Triangle Paths Algorithm for Uncertainty-based Multi Camera Calibration, An
* ELPephants: A Fine-Grained Dataset for Elephant Re-Identification
* Enhanced anomaly detection in wire ropes by combining structure and appearance
* Entropy based camera control for visual object tracking
* Exemplar-Specific Patch Features for Fine-Grained Recognition
* Exploiting the Manhattan-world assumption for extrinsic self-calibration of multi-modal sensor networks
* Exploiting the Manhattan-world assumption for extrinsic self-calibration of multi-modal sensor networks
* Extending GKLT Tracking: Feature Tracking for Controlled Environments with Integrated Uncertainty Estimation
* Fast Approach for Pixelwise Labeling of Facade Images, A
* Feedback Estimation Approach for Therapeutic Facial Training, A
* Finding discriminative features for Raman spectroscopy
* Finding Relevant Flood Images on Twitter Using Content-based Filters
* Finding the Unknown: Novelty Detection with Extreme Value Signatures of Deep Neural Activations
* Fine-grained classification of identity document types with only one example
* Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches
* Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios
* Generalized Orderless Pooling Performs Implicit Salient Matching
* Generic Object Recognition Using Boosted Combined Features
* Geometric and probabilistic image dissimilarity measures for common field of view detection
* Global Context Extraction for Object Recognition Using a Combination of Range and Visual Features
* Global Uncertainty-based Selection of Relative Poses for Multi Camera Calibration
* Hierarchical Bayesian Approach for Unsupervised Cell Phenotype Clustering, A
* Hierarchical sensor data fusion by probabilistic cue integration for robust 3D object tracking
* Hierarchy-Based Image Embeddings for Semantic Image Retrieval
* HMM-Based Defect Localization in Wire Ropes: A New Approach to Unusual Subsequence Recognition
* Impatient DNNs: Deep Neural Networks with Dynamic Time Budgets
* Implicit Feedback between Reconstruction and Tracking in a Combined Optimization Approach
* Incorporation of a-priori information in planning the next best view
* Information Theoretic Approach for Next Best View Planning in 3-D Reconstruction, An
* Information theoretic focal length selection for real-time active 3-d object tracking
* Information Theoretic Sensor Data Selection for Active Object Recognition and State Estimation
* Information-Theoretic Active Learning for Content-Based Image Retrieval
* Instance-Weighted Transfer Learning of Active Appearance Models
* Integrated Viewpoint Fusion and Viewpoint Selection for Optimal Object Recognition
* Interactive Image Retrieval for Biodiversity Research
* Interpreting Art by Leveraging Pre-Trained Models
* Intrinsic and extrinsic active self-calibration of multi-camera systems
* Investigating Neural Network Training on a Feature Level Using Conditional Independence
* JAR-Aibo: A Multi-view Dataset for Evaluation of Model-Free Action Recognition Systems
* JenAesthetics Subjective Dataset: Analyzing Paintings by Subjective Scores
* Judging Aesthetic Quality in Paintings Based on Artistic Inspired Color Features
* Kernel Null Space Methods for Novelty Detection
* Labeling Examples That Matter: Relevance-Based Active Learning with Gaussian Processes
* Large-Scale Active Learning with Approximations of Expected Model Output Changes
* Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels
* Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks
* Large-scale gaussian process multi-class classification for semantic segmentation and facade recognition
* Learning with Few Examples by Transferring Feature Relevance
* Learning with few examples for binary and multiclass classification using regularization of randomized trees
* Local Novelty Detection in Multi-class Recognition Problems
* Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge
* Markerless Real-Time 3-D Target Region Tracking by Motion Backprojection from Projection Images
* Markerless Real-Time Target Region Tracking: Application to Frameless Sterotactic Radiosurgery
* MOBSY: Integration of Vision and Dialogue in Service Robots
* Model Based Extraction of Articulated Objects in Image Sequences for Gait Analysis
* Multi-marker tracking for large-scale X-ray stereo video data
* Multi-person Tracking-by-Detection Based on Calibrated Multi-camera Systems
* Multi-Step Active Object Tracking with Entropy Based Optimal Actions Using the Sequential Kalman Filter
* Multi-step Entropy Based Sensor Control for Visual Object Tracking
* Multi-view Active Appearance Models for the X-Ray Based Analysis of Avian Bipedal Locomotion
* Multi-view Planning for Simultaneous Coverage and Accuracy Optimisation
* Multiple kernel Gaussian process classification for generic 3D object recognition
* Nonlinear Causal Link Estimation Under Hidden Confounding with an Application to Time Series Anomaly Detection
* Nonparametric Part Transfer for Fine-Grained Recognition
* Not Just a Matter of Semantics: The Relationship Between Visual and Semantic Similarity
* Object Tracking in Image Sequences
* Occlusion-Robustness of Convolutional Neural Networks via Inverted Cutout
* On Fusion of Multiple Views for Active Object Recognition
* On Optimal Camera Parameter Selection in Kalman Filter Based Object Tracking
* One-Class Classification with Gaussian Processes
* One-Shot Learning of Object Categories Using Dependent Gaussian Processes
* Online Next-Best-View Planning for Accuracy Optimization Using an Extended E-Criterion
* Part Detector Discovery in Deep Convolutional Neural Networks
* Pedestrian Detection by Probabilistic Component Assembly
* PHOG-Derived Aesthetic Measures Applied to Color Photographs of Artworks, Natural Scenes and Objects
* Predicting Landscapes from Environmental Conditions Using Generative Networks
* Randomized Probabilistic Latent Semantic Analysis for Scene Recognition
* Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels
* Real-time pedestrian tracking in natural scenes
* Regularized Geometric Hulls for Bio-medical Image Segmentation
* Rigid Motion Constraints for Tracking Planar Objects
* Road Condition Estimation Based on Spatio-Temporal Reflection Models
* Robust Facial Feature Localization by Coupled Features
* Selecting Influential Examples: Active Learning with Expected Model Output Changes
* Self-calibration with Partially Known Rotations
* Semantic Segmentation of Outdoor Areas Using 3D Moment Invariants and Contextual Cues
* Semantic Segmentation with Millions of Features: Integrating Multiple Cues in a Combined Random Forest Approach
* Statistical Approach to Classification of Flow Patterns for Motion Detection
* Temporal Self-Similarity for Appearance-Based Action Recognition in Multi-View Setups
* Time-Frequency Causal Inference Uncovers Anomalous Events in Environmental Systems
* Towards Automated Visual Monitoring of Individual Gorillas in the Wild
* Tracking and Reconstruction in a Combined Optimization Approach
* Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
* Unified Automatic Plant Cover and Phenology Prediction
* Unsupervised Group Activity Detection by Hierarchical Dirichlet Processes
* Vegetation Segmentation in Cornfield Images Using Bag of Words
* View Planning for 3D Reconstruction Using Time-of-Flight Camera Data
* Viewpoint Selection: Planning Optimal Sequences of Views for Object Recognition
* Whole Is More Than Its Parts? From Explicit to Implicit Pose Normalization, The
Includes: Denzler, J.[Joachim] Denzler, J.
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