Bernt Schiele
167 papers · 2013–2026 · 11 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (5) π£ Hot Topic Early Bird
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Renaissance Researcher
(5)
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Interdisciplinary Bridge
π§
Keyword Pioneer
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Keyword Trendsetter Combo
(13)
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Conference Loyalist
(85)
π€
Dynamic Duo
(31)
π±
Topic Pioneer
π¬
Deep Specialist
(21)
π§¬
Topic Evolution
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Keyword Champion
(7)
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Triple Crown
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Grand Slam
π₯
Mega-Team
(22)
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Trend Setter
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Century Club
(167)
β‘
Prolific Year
(16)
π₯
Unstoppable
(14)
β
The Questioner
ποΈ
Keyword Collector
(548)
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Conference Pioneer
Conferences
CVPR (85)
ICCV (24)
ECCV (15)
NIPS (15)
ICLR (12)
ICML (5)
WACV (5)
AAAI (3)
ACL (1)
CONLL (1)
EMNLP (1)
Top co-authors
Research topics
Keywords
semantic segmentation
(17)
zero-shot learning
(14)
object detection
(14)
image classification
(11)
convolutional neural network
(11)
transfer learning
(9)
human pose estimation
(8)
generative adversarial network
(8)
self-supervised learning
(8)
representation learning
(8)
person re-identification
(7)
class-incremental learning
(7)
image generation
(7)
video understanding
(7)
domain adaptation
(6)
point cloud
(6)
catastrophic forgetting
(6)
weakly supervised learning
(6)
few-shot learning
(6)
semi-supervised learning
(6)
Papers
MM-TS: Multi-Modal Temperature and Margin Schedules for Contrastive Learning with Long-Tail Data
WACV 2026
MET3R: Measuring Multi-View Consistency in Generated Images
CVPR 2025
How to Probe: Simple Yet Effective Techniques for Improving Post-hoc Explanations
ICLR 2025
Number it: Temporal Grounding Videos like Flipping Manga
CVPR 2025
Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking
ICLR 2025
TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
ICLR 2025
Pixel-level Certified Explanations via Randomized Smoothing
ICML 2025
Spatial Reasoning with Denoising Models
ICML 2025
Test-Time Visual In-Context Tuning
CVPR 2025
AIM: Amending Inherent Interpretability via Self-Supervised Masking
ICCV 2025
VITAL: More Understandable Feature Visualization through Distribution Alignment and Relevant Information Flow
ICCV 2025
Unbiasing through Textual Descriptions: Mitigating Representation Bias in Video Benchmarks
CVPR 2025
PersonaHOI: Effortlessly Improving Face Personalization in Human-Object Interaction Generation
CVPR 2025
MTA-CLIP: Language-Guided Semantic Segmentation with Mask-Text Alignment
ECCV 2024
Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Object Appearance Graphs
ECCV 2024
Wakening Past Concepts Without Past Data: Class-Incremental Learning From Online Placebos
WACV 2024
X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization
CVPR 2024
Training Vision Transformers for Semi-Supervised Semantic Segmentation
CVPR 2024
OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning
CVPR 2024
Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets
NIPS 2024
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable
NIPS 2024
Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing
ICML 2024
On Adversarial Training without Perturbing all Examples
ICLR 2024
Open-Vocabulary 3D Semantic Segmentation with Foundation Models
CVPR 2024
latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction
ECCV 2024
Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery
ECCV 2024
Good Teachers Explain: Explanation-Enhanced Knowledge Distillation
ECCV 2024
HowToCaption: Prompting LLMs to Transform Video Annotations at Scale
ECCV 2024
GiT: Towards Generalist Vision Transformer through Universal Language Interface
ECCV 2024
Temperature Schedules for self-supervised contrastive methods on long-tail data
ICLR 2023
SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning
ICLR 2023
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
ICLR 2023
DSVT: Dynamic Sparse Voxel Transformer With Rotated Sets
CVPR 2023
Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions
CVPR 2023
Weakly-Supervised Domain Adaptive Semantic Segmentation With Prototypical Contrastive Learning
CVPR 2023
Urban Scene Semantic Segmentation With Low-Cost Coarse Annotation
WACV 2023
In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval
ICCV 2023
SimNP: Learning Self-Similarity Priors Between Neural Points
ICCV 2023
UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation
ICCV 2023
Unsupervised Open-Vocabulary Object Localization in Videos
ICCV 2023
DARTH: Holistic Test-time Adaptation for Multiple Object Tracking
ICCV 2023
Object-Centric Multiple Object Tracking
ICCV 2023
Learning by Sorting: Self-supervised Learning with Group Ordering Constraints
ICCV 2023
SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning
ICCV 2023
Robustifying Token Attention for Vision Transformers
ICCV 2023
Studying How to Efficiently and Effectively Guide Models with Explanations
ICCV 2023
Class-Incremental Exemplar Compression for Class-Incremental Learning
CVPR 2023
Continual Detection Transformer for Incremental Object Detection
CVPR 2023
HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation
CVPR 2023
Self-Supervised Pre-Training With Masked Shape Prediction for 3D Scene Understanding
CVPR 2023
Visual Coherence Loss for Coherent and Visually Grounded Story Generation
ACL 2023
Online Hyperparameter Optimization for Class-Incremental Learning
AAAI 2023
A Meta-Learning Approach to Predicting Performance and Data Requirements
CVPR 2023
TeST: Test-Time Self-Training Under Distribution Shift
WACV 2023
Towards Robust Object Detection Invariant to Real-World Domain Shifts
ICLR 2023
Towards Better Understanding Attribution Methods
CVPR 2022
USB: A Unified Semi-supervised Learning Benchmark for Classification
NIPS 2022
Motion Transformer with Global Intention Localization and Local Movement Refinement
NIPS 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning
NIPS 2022
Keypoint Message Passing for Video-Based Person Re-identification
AAAI 2022
Class-Agnostic Object Counting Robust to Intraclass Diversity
ECCV 2022
Improving Robustness by Enhancing Weak Subnets
ECCV 2022
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning
CVPR 2022
A Unified Query-Based Paradigm for Point Cloud Understanding
CVPR 2022
Omni-DETR: Omni-Supervised Object Detection With Transformers
CVPR 2022
B-Cos Networks: Alignment Is All We Need for Interpretability
CVPR 2022
RBGNet: Ray-Based Grouping for 3D Object Detection
CVPR 2022
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning
CVPR 2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
CVPR 2022
Bi-Level Alignment for Cross-Domain Crowd Counting
CVPR 2022
PoseTrack21: A Dataset for Person Search, Multi-Object Tracking and Multi-Person Pose Tracking
CVPR 2022
RMM: Reinforced Memory Management for Class-Incremental Learning
NIPS 2021
Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring
CVPR 2021
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration Without Forgetting
ICCV 2021
Seeking Similarities Over Differences: Similarity-Based Domain Alignment for Adaptive Object Detection
ICCV 2021
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers
CVPR 2021
Future Moment Assessment for Action Query
WACV 2021
You Only Need Adversarial Supervision for Semantic Image Synthesis
ICLR 2021
Convolutional Dynamic Alignment Networks for Interpretable Classifications
CVPR 2021
Adaptive Aggregation Networks for Class-Incremental Learning
CVPR 2021
Relating Adversarially Robust Generalization to Flat Minima
ICCV 2021
Learning Decision Trees Recurrently Through Communication
CVPR 2021
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring
NIPS 2020
Attribute Prototype Network for Zero-Shot Learning
NIPS 2020
Normalizing Flows With Multi-Scale Autoregressive Priors
CVPR 2020
Norm-Aware Embedding for Efficient Person Search
CVPR 2020
A U-Net Based Discriminator for Generative Adversarial Networks
CVPR 2020
Mnemonics Training: Multi-Class Incremental Learning Without Forgetting
CVPR 2020
Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks
ICLR 2020
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks
ICML 2020
Diverse and Relevant Visual Storytelling with Scene Graph Embeddings
CONLL 2020
Hierarchical Online Instance Matching for Person Search
AAAI 2020
Towards Automated Testing and Robustification by Semantic Adversarial Data Generation
ECCV 2020
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
ECCV 2020
Kinematic 3D Object Detection in Monocular Video
ECCV 2020
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation
ECCV 2020
Diverse and Relevant Visual Storytelling with Scene Graph Embeddings
EMNLP 2020
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods
ICLR 2019
Learning to Self-Train for Semi-Supervised Few-Shot Classification
NIPS 2019
Meta-Transfer Learning for Few-Shot Learning
CVPR 2019
Knockoff Nets: Stealing Functionality of Black-Box Models
CVPR 2019
Disentangling Adversarial Robustness and Generalization
CVPR 2019
Not Using the Car to See the Sidewalk -- Quantifying and Controlling the Effects of Context in Classification and Segmentation
CVPR 2019
Semantic Projection Network for Zero- and Few-Label Semantic Segmentation
CVPR 2019
Time-Conditioned Action Anticipation in One Shot
CVPR 2019
F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
CVPR 2019
Accurate and Diverse Sampling of Sequences Based on a βBest of Manyβ Sample Objective
CVPR 2018
Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images
CVPR 2018
Adversarial Scene Editing: Automatic Object Removal from Weak Supervision
NIPS 2018
Towards Reverse-Engineering Black-Box Neural Networks
ICLR 2018
A Hybrid Model for Identity Obfuscation by Face Replacement
ECCV 2018
Occluded Pedestrian Detection Through Guided Attention in CNNs
CVPR 2018
Feature Generating Networks for Zero-Shot Learning
CVPR 2018
PoseTrack: A Benchmark for Human Pose Estimation and Tracking
CVPR 2018
Natural and Effective Obfuscation by Head Inpainting
CVPR 2018
Long-Term On-Board Prediction of People in Traffic Scenes Under Uncertainty
CVPR 2018
Disentangled Person Image Generation
CVPR 2018
Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes
ECCV 2018
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence
CVPR 2018
Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training
ICCV 2017
ArtTrack: Articulated Multi-Person Tracking in the Wild
CVPR 2017
Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications
CVPR 2017
Generating Descriptions With Grounded and Co-Referenced People
CVPR 2017
Zero-Shot Learning - the Good, the Bad and the Ugly
CVPR 2017
Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective
ICCV 2017
Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images
ICCV 2017
Gaze Embeddings for Zero-Shot Image Classification
CVPR 2017
Learning Non-Maximum Suppression
CVPR 2017
Exploiting Saliency for Object Segmentation From Image Level Labels
CVPR 2017
Multiple People Tracking by Lifted Multicut and Person Re-Identification
CVPR 2017
A Domain Based Approach to Social Relation Recognition
CVPR 2017
CityPersons: A Diverse Dataset for Pedestrian Detection
CVPR 2017
Learning Video Object Segmentation From Static Images
CVPR 2017
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
CVPR 2017
Pose Guided Person Image Generation
NIPS 2017
Generative Adversarial Text to Image Synthesis
ICML 2016
Learning Deep Representations of Fine-Grained Visual Descriptions
CVPR 2016
Learning What and Where to Draw
NIPS 2016
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
CVPR 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
CVPR 2016
Loss Functions for Top-k Error: Analysis and Insights
CVPR 2016
How Far Are We From Solving Pedestrian Detection?
CVPR 2016
Weakly Supervised Object Boundaries
CVPR 2016
Latent Embeddings for Zero-Shot Classification
CVPR 2016
Multi-Cue Zero-Shot Learning With Strong Supervision
CVPR 2016
Top-k Multiclass SVM
NIPS 2015
Efficient Output Kernel Learning for Multiple Tasks
NIPS 2015
Subgraph Decomposition for Multi-Target Tracking
CVPR 2015
Taking a Deeper Look at Pedestrians
CVPR 2015
Efficient ConvNet-Based Marker-Less Motion Capture in General Scenes With a Low Number of Cameras
CVPR 2015
A Dataset for Movie Description
CVPR 2015
Evaluation of Output Embeddings for Fine-Grained Image Classification
CVPR 2015
Filtered Feature Channels for Pedestrian Detection
CVPR 2015
Classifier Based Graph Construction for Video Segmentation
CVPR 2015
Scalable Nonlinear Embeddings for Semantic Category-Based Image Retrieval
ICCV 2015
Person Recognition in Personal Photo Collections
ICCV 2015
Scalable Multitask Representation Learning for Scene Classification
CVPR 2014
Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation
CVPR 2014
3D Pictorial Structures for Multiple Human Pose Estimation
CVPR 2014
2D Human Pose Estimation: New Benchmark and State of the Art Analysis
CVPR 2014
Strong Appearance and Expressive Spatial Models for Human Pose Estimation
ICCV 2013
A Unified Video Segmentation Benchmark: Annotation, Metrics and Analysis
ICCV 2013
Occlusion Patterns for Object Class Detection
CVPR 2013
Learning People Detectors for Tracking in Crowded Scenes
ICCV 2013
Poselet Conditioned Pictorial Structures
CVPR 2013
Transfer Learning in a Transductive Setting
NIPS 2013
Translating Video Content to Natural Language Descriptions
ICCV 2013