Bernt Schiele

82.8k citations
459 papers · 56.7k · 41 hit papers · h-index 110

Impact in

    • Video Surveillance and Tracking Methods
    • Advanced Neural Network Applications
    • Human Pose and Action Recognition
    • Advanced Image and Video Retrieval Techniques
    • Multimodal Machine Learning Applications
    • Advanced Vision and Imaging
    • Domain Adaptation and Few-Shot Learning
    • Anomaly Detection Techniques and Applications

Papers in

    • Advanced Image and Video Retrieval Techniques 113
    • Video Surveillance and Tracking Methods 110
    • Advanced Neural Network Applications 95
    • Human Pose and Action Recognition 74
    • Multimodal Machine Learning Applications 64
    • Context-Aware Activity Recognition Systems 50
    • Domain Adaptation and Few-Shot Learning 73
    • Anomaly Detection Techniques and Applications 46

Bernt Schiele

445 papers receiving 54.8k citations

Bernt Schiele's Hit Papers

MTR++: Multi-Agent Motion Prediction With Symmetric Scene Modeling and Guided Intention Querying 2024 · 86 citations
860+3+6Years since publication2505007501000

Peers

Bernt Schiele
Comparison fields: 5 of 210
  • Computer Vision and Pattern Recognition 45.5k
  • Artificial Intelligence 18.1k
  • Human-Computer Interaction 3.0k
  • Media Technology 3.2k
  • Automotive Engineering 3.4k
Replace Deva Ramanan with:
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Jian Cheng Sun China
Bernt Schiele relative to Deva Ramanan United States Deva Ramanan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Bernt Schiele

Since Specialization
Citations

This map shows the geographic impact of Bernt Schiele's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bernt Schiele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernt Schiele more than expected).

Fields of papers citing papers by Bernt Schiele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernt Schiele. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bernt Schiele. The network helps show where Bernt Schiele may publish in the future.

Co-authors

The 25 scholars most cited alongside Bernt Schiele, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bernt Schiele Line = papers co-authored together Bernt Schiele links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 459 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Cityscapes Dataset for Semantic Urban Scene Understanding
Hit paper breakdown →
20168645
2
Pedestrian Detection: An Evaluation of the State of the Art
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20112544
3
2D Human Pose Estimation: New Benchmark and State of the Art Analysis
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20141989
4
A tutorial on human activity recognition using body-worn inertial sensors
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20141307
5
Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly
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20181137
6
Pedestrian detection: A benchmark
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20091060
7
Meta-Transfer Learning for Few-Shot Learning
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2019915
8
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
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2016791
9
DeeperCut: A Deeper, Stronger, and Faster Multi-person Pose Estimation Model
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2016785
10
Robust Object Detection with Interleaved Categorization and Segmentation
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2007759
11
Feature Generating Networks for Zero-Shot Learning
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2018758
12
CityPersons: A Diverse Dataset for Pedestrian Detection
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2017756
13
Pedestrian Detection in Crowded Scenes
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2005711
14
People-tracking-by-detection and people-detection-by-tracking
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2008668
15
Combined Object Categorization and Segmentation With An Implicit Shape Model
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2004645
16
Pictorial structures revisited: People detection and articulated pose estimation
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2009629
17
Generative Adversarial Text to Image Synthesis
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2016621
18
Analyzing appearance and contour based methods for object categorization
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2003617
19
Learning Deep Representations of Fine-Grained Visual Descriptions
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2016597
20
Zero-Shot Learning — The Good, the Bad and the Ugly
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2017595

About Bernt Schiele

Bernt Schiele is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Aerospace Engineering and Media Technology, having authored 459 papers that have together received 56.7k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (113 papers), Video Surveillance and Tracking Methods (110 papers), Advanced Neural Network Applications (95 papers), Human Pose and Action Recognition (74 papers), Domain Adaptation and Few-Shot Learning (73 papers), Multimodal Machine Learning Applications (64 papers), Context-Aware Activity Recognition Systems (50 papers) and Anomaly Detection Techniques and Applications (46 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (45.5k citations), Artificial Intelligence (18.1k citations), Human-Computer Interaction (3.0k citations), Media Technology (3.2k citations) and Automotive Engineering (3.4k citations). Bernt Schiele has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Rodrigo Benenson, Mykhaylo Andriluka, Stefan Roth, Bastian Leibe, Zeynep Akata, Mohamed Omran, Christian Wojek, Piotr Dollár, Leonid Pishchulin and Markus Enzweiler. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Lecture notes in computer science, Robotics and Autonomous Systems and Pattern Recognition.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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