Items where Author is "Schiele, Bernt"

(2022) B-Cos Networks: Alignment Is All We Need for Interpretability.

(2021) Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations.

(2021) Convolutional Dynamic Alignment Networks for Interpretable Classifications.

(2021) Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers.

(2021) Future Moment Assessment for Action Query.

(2020) Haar Wavelet based Block Autoregressive Flows for Trajectories.

(2020) Long-Tailed Recognition Using Class-Balanced Experts.

(2020) Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations.

(2020) Synthetic Convolutional Features for Improved Semantic Segmentation.

(2020) Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation.

(2020) Towards Automated Testing and Robustification by Semantic Adversarial Data Generation.

(2020) Normalizing Flows with Multi-scale Autoregressive Priors.

(2020) Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks.

(2020) Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks.

(2020) Person Recognition in Personal Photo Collections.

(2019) Towards Reverse-Engineering Black-Box Neural Networks.

(2019) Knockoff Nets: Stealing Functionality of Black-Box Models.

(2019) Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation.

(2019) Time-Conditioned Action Anticipation in One Shot.

(2019) Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods.

(2018) Adversarial Scene Editing: Automatic Object Removal from Weak Supervision.

(2018) A Hybrid Model for Identity Obfuscation by Face Replacement.

(2018) Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes.

(2018) A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation.

(2018) Feature Generating Networks for Zero-Shot Learning.

(2018) Long-Term Image Boundary Prediction.

(2018) Accurate and Diverse Sampling of Sequences Based on a “Best of Many” Sample Objective.

(2018) Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images.

(2018) Disentangled Person Image Generation.

(2018) A Hybrid Model for Identity Obfuscation by Face Replacement.

(2018) Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty.

(2018) Natural and Effective Obfuscation by Head Inpainting.

(2018) Towards Reverse-Engineering Black-Box Neural Networks.

(2017) Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective.

(2017) A Domain Based Approach to Social Relation Recognition.

(2017) Exploiting saliency for object segmentation from image level labels.

(2017) Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training.

(2017) Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images.

(2017) A4NT : Author Attribute Anonymity by Adversarial Training of Neural Machine Translation.

(2017) A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation.

(2017) Adversarial Image Perturbation for Privacy Protection - A Game Theory Perspective.

(2017) Adversarial Image Perturbation for Privacy Protection — A Game Theory Perspective.

(2017) ArtTrack: Articulated Multi-Person Tracking in the Wild.

(2017) Building statistical shape spaces for 3D human modeling.

(2017) CityPersons: A Diverse Dataset for Pedestrian Detection.

(2017) Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images.

(2017) Disentangled Person Image Generation.

(2017) A Domain Based Approach to Social Relation Recognition.

(2017) Exploiting saliency for object segmentation from image level labels.

(2017) Gaze Embeddings for Zero-Shot Image Classification.

(2017) Generating Descriptions with Grounded and Co-Referenced People.

(2017) Learning Dilation Factors for Semantic Segmentation of Street Scenes.

(2017) Learning Dilation Factors for Semantic Segmentation of Street Scenes.

(2017) Learning Non-maximum Suppression.

(2017) Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty.

(2017) MARCOnI – ConvNet-Based MARker-Less Motion Capture in Outdoor and Indoor Scenes.

(2017) Movie Description.

(2017) Multiple People Tracking by Lifted Multicut and Person Re-identification.

(2017) Natural and Effective Obfuscation by Head Inpainting.

(2017) Person Recognition in Social Media Photos.

(2017) Simple Does It: Weakly Supervised Instance and Semantic Segmentation.

(2017) Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training.

(2017) Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training.

(2017) Towards Reaching Human Performance in Pedestrian Detection.

(2017) Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images.

(2017) Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images.

(2017) Whitening Black-Box Neural Networks.

(2017) Zero-shot learning – The Good, the Bad and the Ugly.

(2016) Demo: I-Pic: A Platform for Privacy-Compliant Image Capture.

(2016) Faceless Person Recognition: Privacy Implications in Social Media.

(2016) I-Pic: A Platform for Privacy-Compliant Image Capture.

(2016) Learning Deep Representations of Fine-Grained Visual Descriptions.

(2016) Loss Functions for Top-k Error: Analysis and Insights.

(2016) Recognizing Fine-Grained and Composite Activities Using Hand-Centric Features and Script Data.

(2016) 3D Pictorial Structures Revisited: Multiple Human Pose Estimation.

(2016) The Cityscapes Dataset for Semantic Urban Scene Understanding.

(2016) A Convnet for Non-maximum Suppression.

(2016) DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation.

(2016) DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model.

(2016) EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras.

(2016) Faceless Person Recognition; Privacy Implications in Social Media.

(2016) Generating Visual Explanations.

(2016) Generative Adversarial Text to Image Synthesis.

(2016) Grounding of Textual Phrases in Images by Reconstruction.

(2016) How Far are We from Solving Pedestrian Detection?

(2016) Improved Image Boundaries for Better Video Segmentation.

(2016) Latent Embeddings for Zero-Shot Classification.

(2016) Learning What and Where to Draw.

(2016) Long-Term Image Boundary Extrapolation.

(2016) Multi-Cue Zero-Shot Learning with Strong Supervision.

(2016) Multi-cue Zero-Shot Learning with Strong Supervision.

(2016) Weakly Supervised Object Boundaries.

(2016) What Makes for Effective Detection Proposals?

(2015) Classifier based graph construction for video segmentation.

(2015) Efficient Output Kernel Learning for Multiple Tasks.

(2015) 3D Object Class Detection in the Wild.

(2015) A Dataset for Movie Description.

(2015) Detecting Surgical Tools by Modelling Local Appearance and Global Shape.

(2015) Efficient ConvNet-based Marker-less Motion Capture in General Scenes with a Low Number of Cameras.

(2015) Evaluation of Output Embeddings for Fine-grained Image Classification.

(2015) Filtered Channel Features for Pedestrian Detection.

(2015) The Long-short Story of Movie Description.

(2015) Multi-view and 3D Deformable Part Models.

(2015) Person Recognition in Personal Photo Collections.

(2015) Person Recognition in Personal Photo Collections.

(2015) Scalable Nonlinear Embeddings for Semantic Category-based Image Retrieval.

(2015) Subgraph Decomposition for Multi-target Tracking.

(2015) Taking a Deeper Look at Pedestrians.

(2015) Top-k Multiclass SVM.

(2015) What is Holding Back Convnets for Detection?

(2014) Detection and Tracking of Occluded People.

(2014) Learning using privileged information: SV M+ and weighted SVM.

(2014) Scalable Multitask Representation Learning for Scene Classification.

(2014) A Tutorial on Human Activity Recognition Using Body-worn Inertial Sensors.

(2014) 2D Human Pose Estimation: New Benchmark and State of the Art Analysis.

(2014) 3D Pictorial Structures for Multiple Human Pose Estimation.

(2014) Coherent Multi-sentence Video Description with Variable Level of Detail.

(2014) Fine-grained Activity Recognition with Holistic and Pose Based Features.

(2014) How Good are Detection Proposals, really?

(2014) Learning Must-Link Constraints for Video Segmentation Based on Spectral Clustering.

(2014) Multi-view Priors for Learning Detectors from Sparse Viewpoint Data.

(2014) Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation.

(2013) Learning People Detectors for Tracking in Crowded Scenes.

(2013) Strong Appearance and Expressive Spatial Models for Human Pose Estimation.

(2013) Where Next in Object Recognition and how much Supervision Do We Need?

(2012) Articulated People Detection and Pose Estimation: Reshaping the Future.

(2012) Active Metric Learning for Object Recognition.

(2012) RALF: A reinforced active learning formulation for object class recognition.

(2012) Semi-Supervised Learning on a Budget: Scaling Up to Large Datasets.

(2011) Weakly Supervised Recognition of Daily Life Activities with Wearable Sensors.

(2011) Pick Your Neighborhood - Improving Labels and Neighborhood Structure for Label Propagation.