Juergen Gall

Orcid: 0000-0002-9447-3399

Affiliations:
  • ETH Zurich, Computer Vision Laboratory, Switzerland
  • Max Planck Institute for Informatics, Saarbrücken, Germany


According to our database1, Juergen Gall authored at least 242 papers between 2006 and 2024.

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Bibliography

2024
Guest Editorial: Special Issue on ACCV 2022.
Int. J. Comput. Vis., December, 2024

Generating novel scene compositions from single images and videos.
Comput. Vis. Image Underst., February, 2024

Identifying Spatio-Temporal Drivers of Extreme Events.
CoRR, 2024

Massively Multi-Person 3D Human Motion Forecasting with Scene Context.
CoRR, 2024

Distillation-free Scaling of Large SSMs for Images and Videos.
CoRR, 2024

MV-Match: Multi-View Matching for Domain-Adaptive Identification of Plant Nutrient Deficiencies.
CoRR, 2024

Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models.
CoRR, 2024

GroupMamba: Parameter-Efficient and Accurate Group Visual State Space Model.
CoRR, 2024

Rethinking temporal self-similarity for repetitive action counting.
CoRR, 2024

A Multimodal Handover Failure Detection Dataset and Baselines.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Gated Temporal Diffusion for Stochastic Long-Term Dense Anticipation.
Proceedings of the Computer Vision - ECCV 2024, 2024

TFNet: Exploiting Temporal Cues for Fast and Accurate LiDAR Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ADA-Track: End-to-End Multi-Camera 3D Multi-Object Tracking with Alternating Detection and Association.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Focal-TSMP: Deep learning for vegetation health prediction and agricultural drought assessment from a regional climate simulation.
Dataset, October, 2023

Focal-TSMP: Deep learning for vegetation health prediction and agricultural drought assessment from a regional climate simulation.
Dataset, October, 2023

MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Preface to the Special Issue on Pattern Recognition (DAGM GCPR 2021).
Int. J. Comput. Vis., May, 2023

Location-Aware Adaptive Normalization: A Deep Learning Approach for Wildfire Danger Forecasting.
IEEE Trans. Geosci. Remote. Sens., 2023

Generating Views Using Atmospheric Correction for Contrastive Self-Supervised Learning of Multispectral Images.
IEEE Geosci. Remote. Sens. Lett., 2023

Wavelet Packet Power Spectrum Kullback-Leibler Divergence: A New Metric for Image Synthesis.
CoRR, 2023

VaLID: Variable-Length Input Diffusion for Novel View Synthesis.
CoRR, 2023

DiffAnt: Diffusion Models for Action Anticipation.
CoRR, 2023

A Survey on Deep Learning Techniques for Action Anticipation.
CoRR, 2023

TFNet: Exploiting Temporal Cues for Fast and Accurate LiDAR Semantic Segmentation.
CoRR, 2023

A Dual-Source Attention Transformer for Multi-Person Pose Tracking.
CoRR, 2023

One-Shot Synthesis of Images and Segmentation Masks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

ElliPose: Stereoscopic 3D Human Pose Estimation by Fitting Ellipsoids.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Humans in Kitchens: A Dataset for Multi-Person Human Motion Forecasting with Scene Context.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient CNNs and Transformers for Video Understanding and Image Synthesis.
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Multi-Modal Self-Supervised Learning for Boosting Crop Classification Using Sentinel2 and Planetscope.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Action Anticipation with Goal Consistency.
Proceedings of the IEEE International Conference on Image Processing, 2023

Semantic RGB-D Image Synthesis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Gated Attention Transformer for Multi-Person Pose Tracking.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Social Diffusion: Long-term Multiple Human Motion Anticipation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Smoothness Similarity Regularization for Few-Shot GAN Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

How Much Temporal Long-Term Context is Needed for Action Segmentation?
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Leveraging Bioclimatic Context for Supervised and Self-supervised Land Cover Classification.
Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022
Multi-Scale Interaction for Real-Time LiDAR Data Segmentation on an Embedded Platform.
IEEE Robotics Autom. Lett., 2022

Fast Weakly Supervised Action Segmentation Using Mutual Consistency.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

OASIS: Only Adversarial Supervision for Semantic Image Synthesis.
Int. J. Comput. Vis., 2022

Location-aware Adaptive Denormalization: A Deep Learning Approach For Wildfire Danger Forecasting.
CoRR, 2022

Recurrent Transformer Variational Autoencoders for Multi-Action Motion Synthesis.
CoRR, 2022

TAVA: Template-free Animatable Volumetric Actors.
Proceedings of the Computer Vision - ECCV 2022, 2022

Adaptive Token Sampling for Efficient Vision Transformers.
Proceedings of the Computer Vision - ECCV 2022, 2022

Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Self-supervised Learning for Unintentional Action Prediction.
Proceedings of the Pattern Recognition, 2022

End-to-End Single Shot Detector Using Graph-Based Learnable Duplicate Removal.
Proceedings of the Pattern Recognition, 2022

PoseTrack21: A Dataset for Person Search, Multi-Object Tracking and Multi-Person Pose Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Robust Action Segmentation from Timestamp Supervision.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

TaylorSwiftNet: Taylor Driven Temporal Modeling for Swift Future Frame Prediction.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Keypoint Message Passing for Video-Based Person Re-identification.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Pose Refinement Graph Convolutional Network for Skeleton-Based Action Recognition.
IEEE Robotics Autom. Lett., 2021

Moving Object Segmentation in 3D LiDAR Data: A Learning-Based Approach Exploiting Sequential Data.
IEEE Robotics Autom. Lett., 2021

Towards 3D LiDAR-based semantic scene understanding of 3D point cloud sequences: The SemanticKITTI Dataset.
Int. J. Robotics Res., 2021

ATS: Adaptive Token Sampling For Efficient Vision Transformers.
CoRR, 2021

Taylor Swift: Taylor Driven Temporal Modeling for Swift Future Frame Prediction.
CoRR, 2021

Towards Better Adversarial Synthesis of Human Images from Text.
CoRR, 2021

Learning to Generate Novel Scene Compositions from Single Images and Videos.
CoRR, 2021

Audio- and Gaze-driven Facial Animation of Codec Avatars.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Unsupervised Video Representation Learning by Bidirectional Feature Prediction.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Using Visual Anomaly Detection for Task Execution Monitoring.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

You Only Need Adversarial Supervision for Semantic Image Synthesis.
Proceedings of the 9th International Conference on Learning Representations, 2021

Multiple Instance Triplet Loss for Weakly Supervised Multi-Label Action Localisation of Interacting Persons.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Spatial-Temporal Consistency Network for Low-Latency Trajectory Forecasting.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Long Short View Feature Decomposition via Contrastive Video Representation Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

FIFA: Fast Inference Approximation for Action Segmentation.
Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

Multi-Modal Temporal Convolutional Network for Anticipating Actions in Egocentric Videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

One-Shot GAN: Learning To Generate Samples From Single Images and Videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Temporal Action Segmentation From Timestamp Supervision.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

3D CNNs With Adaptive Temporal Feature Resolutions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Intention-based Long-Term Human Motion Anticipation.
Proceedings of the International Conference on 3D Vision, 2021

2020
Deep Learning for Non-Invasive Diagnosis of Nutrient Deficiencies in Sugar Beet Using RGB Images.
Sensors, 2020

A Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Open Set Domain Adaptation for Image and Action Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

PoseTrackReID: Dataset Description.
CoRR, 2020

Projected-point-based Segmentation: A New Paradigm for LiDAR Point Cloud Segmentation.
CoRR, 2020

On Evaluating Weakly Supervised Action Segmentation Methods.
CoRR, 2020

Sequence Prediction Using Spectral RNNs.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

3D Noise and Adversarial Supervision Is All You Need for Multi-modal Semantic Image Synthesis.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Self-supervised Keypoint Correspondences for Multi-person Pose Estimation and Tracking in Videos.
Proceedings of the Computer Vision - ECCV 2020, 2020

Large Scale Holistic Video Understanding.
Proceedings of the Computer Vision - ECCV 2020, 2020

Adversarial Synthesis of Human Pose from Text.
Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

Discovering Latent Classes for Semi-supervised Semantic Segmentation.
Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

Long-Term Anticipation of Activities with Cycle Consistency.
Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Recursive Bayesian Filtering for Multiple Human Pose Tracking from Multiple Cameras.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Discovering Multi-label Actor-Action Association in a Weakly Supervised Setting.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Bonn Activity Maps: Dataset Description.
CoRR, 2019

Human Motion Anticipation with Symbolic Label.
CoRR, 2019

Mining YouTube - A dataset for learning fine-grained action concepts from webly supervised video data.
CoRR, 2019

Unifying Part Detection and Association for Recurrent Multi-Person Pose Estimation.
CoRR, 2019

Holistic Large Scale Video Understanding.
CoRR, 2019

Weakly Supervised Action Segmentation Using Mutual Consistency.
CoRR, 2019

A Dataset for Semantic Segmentation of Point Cloud Sequences.
CoRR, 2019

Detection of Generic Human-Object Interactions in Video Streams.
Proceedings of the Social Robotics - 11th International Conference, 2019

Cross-Modal Knowledge Distillation for Action Recognition.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

3D Semantic Scene Completion from a Single Depth Image Using Adversarial Training.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Hierarchical Graph-Rnns for Action Detection of Multiple Activities.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Harvesting Information from Captions for Weakly Supervised Semantic Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Enhancing Temporal Action Localization with Transfer Learning from Action Recognition.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Level Selector Network for Optimizing Accuracy-Specificity Trade-Offs.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Uncertainty-Aware Anticipation of Activities.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Human Motion Prediction via Spatio-Temporal Inpainting.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Iterative Greedy Matching for 3D Human Pose Tracking from Multiple Views.
Proceedings of the Pattern Recognition, 2019

Joint Viewpoint and Keypoint Estimation with Real and Synthetic Data.
Proceedings of the Pattern Recognition, 2019

What Object Should I Use? - Task Driven Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Unsupervised Learning of Action Classes With Continuous Temporal Embedding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Two Stream 3D Semantic Scene Completion.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
A dual-source approach for 3D human pose estimation from single images.
Comput. Vis. Image Underst., 2018

Viewpoint refinement and estimation with adapted synthetic data.
Comput. Vis. Image Underst., 2018

Convolutional Simplex Projection Network (CSPN) for Weakly Supervised Semantic Segmentation.
CoRR, 2018

Are good local minima wide in sparse recovery?
CoRR, 2018

Joint Flow: Temporal Flow Fields for Multi Person Tracking.
CoRR, 2018

Two Stream 3D Semantic Scene Completion.
CoRR, 2018

Structural Recurrent Neural Network (SRNN) for Group Activity Analysis.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Material Classification in theWild: Do Synthesized Training Data Generalise Better than Real-world Training Data?
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Hand Pose Estimation via Latent 2.5D Heatmap Regression.
Proceedings of the Computer Vision - ECCV 2018, 2018

Workshop on Interactive and Adaptive Learning in an Open World.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Spatio-temporal Channel Correlation Networks for Action Classification.
Proceedings of the Computer Vision - ECCV 2018, 2018

Ex Paucis Plura: Learning Affordance Segmentation from Very Few Examples.
Proceedings of the Pattern Recognition - 40th German Conference, 2018

NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Action Sets: Weakly Supervised Action Segmentation Without Ordering Constraints.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

When Will You Do What? - Anticipating Temporal Occurrences of Activities.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

PoseTrack: A Benchmark for Human Pose Estimation and Tracking.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Direct Shot Correspondence Matching.
Proceedings of the British Machine Vision Conference 2018, 2018

JointFlow: Temporal Flow Fields for Multi Person Pose Estimation.
Proceedings of the British Machine Vision Conference 2018, 2018

Convolutional Simplex Projection Network for Weakly Supervised Semantic Segmentation.
Proceedings of the British Machine Vision Conference 2018, 2018

AVID: Adversarial Visual Irregularity Detection.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Special issue on cross-media big data analytics.
J. Vis. Commun. Image Represent., 2017

Weak supervision for detecting object classes from activities.
Comput. Vis. Image Underst., 2017

A bag-of-words equivalent recurrent neural network for action recognition.
Comput. Vis. Image Underst., 2017

Weakly supervised learning of actions from transcripts.
Comput. Vis. Image Underst., 2017

Material Classification in the Wild: Do Synthesized Training Data Generalise Better than Real-World Training Data?
CoRR, 2017

Temporal Action Labeling using Action Sets.
CoRR, 2017

A Dual-Source Approach for 3D Human Pose Estimation from a Single Image.
CoRR, 2017

Evaluating Deep Convolutional Neural Networks for Material Classification.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017

Detection of Human Rights Violations in Images: Can Convolutional Neural Networks Help?.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017

Adaptive Binarization for Weakly Supervised Affordance Segmentation.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

SurfaceNet: An End-to-End 3D Neural Network for Multiview Stereopsis.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Open Set Domain Adaptation.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Pose for Action - Action for Pose.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

Recurrent Residual Learning for Action Recognition.
Proceedings of the Pattern Recognition - 39th German Conference, 2017

Weakly Supervised Affordance Detection.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Weakly Supervised Action Learning with RNN Based Fine-to-Coarse Modeling.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

PoseTrack: Joint Multi-person Pose Estimation and Tracking.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Thinking Outside the Box: Spatial Anticipation of Semantic Categories.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Guest Editors' Introduction: Special issue on deep learning with applications to visual representation and analysis.
Signal Process. Image Commun., 2016

Incremental Learning of Random Forests for Large-Scale Image Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Capturing Hands in Action Using Discriminative Salient Points and Physics Simulation.
Int. J. Comput. Vis., 2016

Weakly Supervised Learning of Affordances.
CoRR, 2016

Pose-Track: Joint Multi-Person Pose Estimation and Tracking.
CoRR, 2016

An end-to-end generative framework for video segmentation and recognition.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Reconstructing Articulated Rigged Models from RGB-D Videos.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Real-Time Semantic Segmentation with Label Propagation.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Multi-person Pose Estimation with Local Joint-to-Person Associations.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Efficient Single-View 3D Co-segmentation Using Shape Similarity and Spatial Part Relations.
Proceedings of the Pattern Recognition - 38th German Conference, 2016

A Dual-Source Approach for 3D Pose Estimation from a Single Image.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Temporal Action Detection Using a Statistical Language Model.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

An Efficient Convolutional Network for Human Pose Estimation.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
3D Pose Estimation from a Single Monocular Image.
CoRR, 2015

3D Object Reconstruction from Hand-Object Interactions.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

From categories to subcategories: Large-scale image classification with partial class label refinement.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

A semantic occlusion model for human pose estimation from a single depth image.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Human Pose as Context for Object Detection.
Proceedings of the British Machine Vision Conference 2015, 2015

A BoW-equivalent Recurrent Neural Network for Action Recognition.
Proceedings of the British Machine Vision Conference 2015, 2015

Adaptation of Synthetic Data for Coarse-to-Fine Viewpoint Refinement.
Proceedings of the British Machine Vision Conference 2015, 2015

Reconstruction of Human Motion.
Proceedings of the Digital Representations of the Real World, 2015

2014
Simulated Annealing.
Computer Vision, A Reference Guide, 2014

Body Parts Dependent Joint Regressors for Human Pose Estimation in Still Images.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Introduction to the special issue on visual understanding and applications with RGB-D cameras.
J. Vis. Commun. Image Represent., 2014

Hough-based object detection with grouped features.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Material Classification Based on Training Data Synthesized Using a BTF Database.
Proceedings of the Computer Vision - ECCV 2014, 2014

Discovering Object Classes from Activities.
Proceedings of the Computer Vision - ECCV 2014, 2014

Capturing Hand Motion with an RGB-D Sensor, Fusing a Generative Model with Salient Points.
Proceedings of the Pattern Recognition - 36th German Conference, 2014

Incremental Learning of NCM Forests for Large-Scale Image Classification.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Depth Sweep Regression Forests for Estimating 3D Human Pose from Images.
Proceedings of the British Machine Vision Conference, 2014

Efficient Pose-Based Action Recognition.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Markerless Motion Capture of Multiple Characters Using Multiview Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Random Forests for Real Time 3D Face Analysis.
Int. J. Comput. Vis., 2013

Towards Understanding Action Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2013

A Survey on Human Motion Analysis from Depth Data.
Proceedings of the Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications, 2013

A Comparison of Directional Distances for Hand Pose Estimation.
Proceedings of the Pattern Recognition - 35th German Conference, 2013

Human Pose Estimation Using Body Parts Dependent Joint Regressors.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Coupled Action Recognition and Pose Estimation from Multiple Views.
Int. J. Comput. Vis., 2012

Visual Modeling and Analysis of EMF Model Transformations Based on Triple Graph Grammars.
Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2012

Real time 3D head pose estimation: Recent achievements and future challenges.
Proceedings of the 5th International Symposium on Communications, 2012

Latent Hough Transform for Object Detection.
Proceedings of the Computer Vision - ECCV 2012, 2012

Destination Flow for Crowd Simulation.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Motion Capture of Hands in Action Using Discriminative Salient Points.
Proceedings of the Computer Vision - ECCV 2012, 2012

Interactive object detection.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Real-time facial feature detection using conditional regression forests.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Sparsity Potentials for Detecting Objects with the Hough Transform.
Proceedings of the British Machine Vision Conference, 2012

Metric Learning from Poses for Temporal Clustering of Human Motion.
Proceedings of the British Machine Vision Conference, 2012

Local Context Priors for Object Proposal Generation.
Proceedings of the Computer Vision - ACCV 2012, 2012

2011
Hough Forests for Object Detection, Tracking, and Action Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Data-Driven Manifolds for Outdoor Motion Capture.
Proceedings of the Outdoor and Large-Scale Real-World Scene Analysis - 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26, 2011

An Introduction to Random Forests for Multi-class Object Detection.
Proceedings of the Outdoor and Large-Scale Real-World Scene Analysis - 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26, 2011

Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Real-time sign language letter and word recognition from depth data.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Fast articulated motion tracking using a sums of Gaussians body model.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Outdoor human motion capture using inverse kinematics and von mises-fisher sampling.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Data-driven animation of hand-object interactions.
Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011

Modeling with Plausibility Checking: Inspecting Favorable and Critical Signs for Consistency between Control Flow and Functional Behavior.
Proceedings of the Fundamental Approaches to Software Engineering, 2011

Real Time Head Pose Estimation from Consumer Depth Cameras.
Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011

Scalable multi-class object detection.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Markerless motion capture of interacting characters using multi-view image segmentation.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

What makes a chair a chair?
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Functional categorization of objects using real-time markerless motion capture.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Real time head pose estimation with random regression forests.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Does Human Action Recognition Benefit from Pose Estimation?.
Proceedings of the British Machine Vision Conference, 2011

2010
Video-based reconstruction of animatable human characters.
ACM Trans. Graph., 2010

A 3-D Audio-Visual Corpus of Affective Communication.
IEEE Trans. Multim., 2010

Combined Region and Motion-Based 3D Tracking of Rigid and Articulated Objects.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Optimization and Filtering for Human Motion Capture.
Int. J. Comput. Vis., 2010

Variations of a Hough-Voting Action Recognition System.
Proceedings of the Recognizing Patterns in Signals, Speech, Images and Videos, 2010

Backprojection Revisited: Scalable Multi-view Object Detection and Similarity Metrics for Detections.
Proceedings of the Computer Vision, 2010

2D Action Recognition Serves 3D Human Pose Estimation.
Proceedings of the Computer Vision, 2010

Hough Forest-Based Facial Expression Recognition from Video Sequences.
Proceedings of the Trends and Topics in Computer Vision, 2010

Tracking People in Broadcast Sports.
Proceedings of the Pattern Recognition, 2010

A Hough transform-based voting framework for action recognition.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

An object-dependent hand pose prior from sparse training data.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

On-line Adaption of Class-specific Codebooks for Instance Tracking.
Proceedings of the British Machine Vision Conference, 2010

2009
Filtering and optimization strategies for markerless human motion capture with skeleton-based shape.
PhD thesis, 2009

A comparison of 3d model-based tracking approaches for human motion capture in uncontrolled environments.
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2009), 2009

Markerless Motion Capture with unsynchronized moving cameras.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Motion capture using joint skeleton tracking and surface estimation.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Class-specific Hough forests for object detection.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Hough Transform-based Mouth Localization for Audio-visual Speech Recognition.
Proceedings of the British Machine Vision Conference, 2009

2008
Model-Based Motion Capture for Crash Test Video Analysis.
Proceedings of the Pattern Recognition, 2008

Drift-free tracking of rigid and articulated objects.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications.
J. Math. Imaging Vis., 2007

Clustered Stochastic Optimization for Object Recognition and Pose Estimation.
Proceedings of the Pattern Recognition, 2007

2006
Robust Pose Estimation with 3D Textured Models.
Proceedings of the Advances in Image and Video Technology, First Pacific Rim Symposium, 2006

Learning for Multi-view 3D Tracking in the Context of Particle Filters.
Proceedings of the Advances in Visual Computing, Second International Symposium, 2006

Accurate and Model-free Pose Estimation of Crash Test Dummies.
Proceedings of the Human Motion, Understanding, Modelling, Capture, and Animation [Dagstuhl Seminar, 11.06., 2006

An Introduction to Interacting Simulated Annealing.
Proceedings of the Human Motion, Understanding, Modelling, Capture, and Animation [Dagstuhl Seminar, 11.06., 2006


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