Denzler, J.
* 1994: Active motion detection and object tracking
* 1996: 3D Data-Driven Prediction for Active Contour Models Based on Geometric Bounding Volumes
* 1996: Statistical Approach to Classification of Flow Patterns for Motion Detection
* 1997: Model Based Extraction of Articulated Objects in Image Sequences for Gait Analysis
* 1997: Real-time pedestrian tracking in natural scenes
* 1998: Efficient Combination of 2-D and 3-D Shape Descriptions for Contour-Based Tracking of Moving Objects, An
* 1999: Active Knowledge-Based Scene Analysis
* 1999: Active Rays: Polar-transformed Active Contours for Real-Time Contour Tracking
* 2000: Active Computer Vision System
* 2000: Active Knowledge-Based Scene Analysis
* 2000: Combining Computer Graphics and Computer Vision for Probabilistic Visual Robot Navigation
* 2000: Object Tracking in Image Sequences
* 2000: Robust Facial Feature Localization by Coupled Features
* 2001: MOBSY: Integration of Vision and Dialogue in Service Robots
* 2001: On Fusion of Multiple Views for Active Object Recognition
* 2002: Appearance Based Generic Object Modeling and Recognition Using Probabilistic Principal Component Analysis
* 2002: Entropy based camera control for visual object tracking
* 2002: Information Theoretic Sensor Data Selection for Active Object Recognition and State Estimation
* 2002: On Optimal Camera Parameter Selection in Kalman Filter Based Object Tracking
* 2003: Information theoretic focal length selection for real-time active 3-d object tracking
* 2003: MOBSY: Integration of Vision and Dialogue in Service Robots
* 2003: Viewpoint Selection: Planning Optimal Sequences of Views for Object Recognition
* 2004: Hierarchical sensor data fusion by probabilistic cue integration for robust 3D object tracking
* 2004: Markerless Real-Time Target Region Tracking: Application to Frameless Sterotactic Radiosurgery
* 2004: Multi-step Entropy Based Sensor Control for Visual Object Tracking
* 2005: Appearance-based recognition of 3-D objects by cluttered background and occlusions
* 2005: Comparative Evaluation of Template and Histogram Based 2D Tracking Algorithms, A
* 2005: Efficient Combination of Histograms for Real-Time Tracking Using Mean-Shift and Trust-Region Optimization
* 2005: Markerless Real-Time 3-D Target Region Tracking by Motion Backprojection from Projection Images
* 2005: Multi-Step Active Object Tracking with Entropy Based Optimal Actions Using the Sequential Kalman Filter
* 2006: Aspects of Optimal Viewpoint Selection and Viewpoint Fusion
* 2006: Comparison of Nearest Neighbor Search Algorithms for Generic Object Recognition, A
* 2006: Detection of Planar Patches in Handheld Image Sequences
* 2006: Incorporation of a-priori information in planning the next best view
* 2006: Information Theoretic Approach for Next Best View Planning in 3-D Reconstruction, An
* 2006: Integrated Viewpoint Fusion and Viewpoint Selection for Optimal Object Recognition
* 2007: Rigid Motion Constraints for Tracking Planar Objects
* 2007: Self-calibration with Partially Known Rotations
* 2008: Efficient Adaptive Combination of Histograms for Real-Time Tracking
* 2008: Efficient Shortest Triangle Paths Algorithm for Uncertainty-based Multi Camera Calibration, An
* 2008: Generic Object Recognition Using Boosted Combined Features
* 2008: Global Uncertainty-based Selection of Relative Poses for Multi Camera Calibration
* 2008: Implicit Feedback between Reconstruction and Tracking in a Combined Optimization Approach
* 2009: Coarse registration of 3D surface triangulations based on moment invariants with applications to object alignment and identification
* 2009: Combined GKLT Feature Tracking and Reconstruction for Next Best View Planning
* 2009: Combining Appearance and Range Based Information for Multi-class Generic Object Recognition
* 2009: Extending GKLT Tracking: Feature Tracking for Controlled Environments with Integrated Uncertainty Estimation
* 2009: Geometric and probabilistic image dissimilarity measures for common field of view detection
* 2009: Global Context Extraction for Object Recognition Using a Combination of Range and Visual Features
* 2009: HMM-Based Defect Localization in Wire Ropes: A New Approach to Unusual Subsequence Recognition
* 2009: Learning with Few Examples by Transferring Feature Relevance
* 2009: Pedestrian Detection by Probabilistic Component Assembly
* 2009: Randomized Probabilistic Latent Semantic Analysis for Scene Recognition
* 2009: View Planning for 3D Reconstruction Using Time-of-Flight Camera Data
* 2010: Active Self-calibration of Multi-camera Systems
* 2010: Active Self-calibration of Multi-camera Systems
* 2010: Analysis-by-Synthesis Approach to Rope Condition Monitoring, An
* 2010: Classification of Microorganisms via Raman Spectroscopy Using Gaussian Processes
* 2010: Fast Approach for Pixelwise Labeling of Facade Images, A
* 2010: Multi-view Planning for Simultaneous Coverage and Accuracy Optimisation
* 2010: Multiple kernel Gaussian process classification for generic 3D object recognition
* 2010: One-Class Classification with Gaussian Processes
* 2010: One-Shot Learning of Object Categories Using Dependent Gaussian Processes
* 2010: Online Next-Best-View Planning for Accuracy Optimization Using an Extended E-Criterion
* 2011: Anatomical Landmark Tracking for the Analysis of Animal Locomotion in X-ray Videos Using Active Appearance Models
* 2011: Combining Structure and Appearance for Anomaly Detection in Wire Ropes
* 2011: Exploiting the Manhattan-world assumption for extrinsic self-calibration of multi-modal sensor networks
* 2011: Exploiting the Manhattan-world assumption for extrinsic self-calibration of multi-modal sensor networks
* 2011: Learning with few examples for binary and multiclass classification using regularization of randomized trees
* 2011: Multi-view Active Appearance Models for the X-Ray Based Analysis of Avian Bipedal Locomotion
* 2012: Analyzing the Subspaces Obtained by Dimensionality Reduction for Human Action Recognition from 3d Data
* 2012: As Time Goes by: Anytime Semantic Segmentation with Iterative Context Forests
* 2012: Divergence-Based One-Class Classification Using Gaussian Processes
* 2012: Efficient semantic segmentation with Gaussian processes and histogram intersection kernels
* 2012: Efficient Shortest Triangle Paths Algorithm Applied to Multi-camera Self-calibration, An
* 2012: Finding discriminative features for Raman spectroscopy
* 2012: Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels
* 2012: Multi-person Tracking-by-Detection Based on Calibrated Multi-camera Systems
* 2012: PHOG-Derived Aesthetic Measures Applied to Color Photographs of Artworks, Natural Scenes and Objects
* 2012: Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels
* 2012: Semantic Segmentation with Millions of Features: Integrating Multiple Cues in a Combined Random Forest Approach
* 2012: Tracking and Reconstruction in a Combined Optimization Approach
* 2013: 2D and 3D analysis of animal locomotion from biplanar X-ray videos using augmented active appearance models
* 2013: Approximations of Gaussian Process Uncertainties for Visual Recognition Problems
* 2013: Enhanced anomaly detection in wire ropes by combining structure and appearance
* 2013: JAR-Aibo: A Multi-view Dataset for Evaluation of Model-Free Action Recognition Systems
* 2013: Kernel Null Space Methods for Novelty Detection
* 2013: Labeling Examples That Matter: Relevance-Based Active Learning with Gaussian Processes
* 2013: Large-scale gaussian process multi-class classification for semantic segmentation and facade recognition
* 2013: One-Class Classification with Gaussian Processes
* 2013: Temporal Self-Similarity for Appearance-Based Action Recognition in Multi-View Setups
* 2014: combination of generative and discriminative models for fast unsupervised activity recognition from traffic scene videos, A
* 2014: Exemplar-Specific Patch Features for Fine-Grained Recognition
* 2014: Hierarchical Bayesian Approach for Unsupervised Cell Phenotype Clustering, A
* 2014: Instance-Weighted Transfer Learning of Active Appearance Models
* 2014: Intrinsic and extrinsic active self-calibration of multi-camera systems
* 2014: JenAesthetics Subjective Dataset: Analyzing Paintings by Subjective Scores
* 2014: Nonparametric Part Transfer for Fine-Grained Recognition
* 2014: Part Detector Discovery in Deep Convolutional Neural Networks
* 2014: Selecting Influential Examples: Active Learning with Expected Model Output Changes
* 2015: Active learning and discovery of object categories in the presence of unnameable instances
* 2015: Beyond thinking in common categories: Predicting obstacle vulnerability using large random codebooks
* 2015: Croatian Fish Dataset: Fine-grained classification of fish species in their natural habitat
* 2015: Fine-grained classification of identity document types with only one example
* 2015: Interactive Image Retrieval for Biodiversity Research
* 2015: Local Novelty Detection in Multi-class Recognition Problems
* 2015: Regularized Geometric Hulls for Bio-medical Image Segmentation
* 2015: Road Condition Estimation Based on Spatio-Temporal Reflection Models
* 2016: Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates
* 2016: Convolutional Neural Networks as a Computational Model for the Underlying Processes of Aesthetics Perception
* 2016: Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches
* 2016: Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios
* 2016: Impatient DNNs: Deep Neural Networks with Dynamic Time Budgets
* 2016: Large-Scale Active Learning with Approximations of Expected Model Output Changes
* 2016: Vegetation Segmentation in Cornfield Images Using Bag of Words
* 2017: Feedback Estimation Approach for Therapeutic Facial Training, A
* 2017: Finding the Unknown: Novelty Detection with Extreme Value Signatures of Deep Neural Activations
* 2017: Generalized Orderless Pooling Performs Implicit Salient Matching
* 2017: Judging Aesthetic Quality in Paintings Based on Artistic Inspired Color Features
* 2017: Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks
* 2017: Multi-marker tracking for large-scale X-ray stereo video data
* 2017: Semantic Segmentation of Outdoor Areas Using 3D Moment Invariants and Contextual Cues
* 2017: Towards Automated Visual Monitoring of Individual Gorillas in the Wild
* 2017: Unsupervised Group Activity Detection by Hierarchical Dirichlet Processes
* 2018: Information-Theoretic Active Learning for Content-Based Image Retrieval
* 2019: Classification-Specific Parts for Improving Fine-Grained Visual Categorization
* 2019: Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection
* 2019: ELPephants: A Fine-Grained Dataset for Elephant Re-Identification
* 2019: Hierarchy-Based Image Embeddings for Semantic Image Retrieval
* 2019: Nonlinear Causal Link Estimation Under Hidden Confounding with an Application to Time Series Anomaly Detection
* 2019: Not Just a Matter of Semantics: The Relationship Between Visual and Semantic Similarity
* 2019: Predicting Landscapes from Environmental Conditions Using Generative Networks
* 2019: Time-Frequency Causal Inference Uncovers Anomalous Events in Environmental Systems
* 2020: Content-based Image Retrieval and the Semantic Gap in the Deep Learning Era
* 2020: Deep Learning on Small Datasets without Pre-Training using Cosine Loss
* 2020: Determining the Relevance of Features for Deep Neural Networks
* 2020: Finding Relevant Flood Images on Twitter Using Content-based Filters
* 2020: Whole Is More Than Its Parts? From Explicit to Implicit Pose Normalization, The
* 2021: Conditional dependence tests reveal the usage of ABCD rule features and bias variables in automatic skin lesion classification
* 2021: EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task
* 2021: Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge
* 2021: Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
* 2022: Investigating Neural Network Training on a Feature Level Using Conditional Independence
* 2022: Occlusion-Robustness of Convolutional Neural Networks via Inverted Cutout
* 2023: Analyzing the Behavior of Cauliflower Harvest-Readiness Models by Investigating Feature Relevances
* 2023: Interpreting Art by Leveraging Pre-Trained Models
* 2023: Unified Automatic Plant Cover and Phenology Prediction
Includes: Denzler, J. Denzler, J.[Joachim]
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