Peter Kontschieder

3.5k total citations · 1 hit paper
42 papers, 1.8k citations indexed

About

Peter Kontschieder is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Peter Kontschieder has authored 42 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 7 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Peter Kontschieder's work include Advanced Neural Network Applications (12 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Advanced Vision and Imaging (10 papers). Peter Kontschieder is often cited by papers focused on Advanced Neural Network Applications (12 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Advanced Vision and Imaging (10 papers). Peter Kontschieder collaborates with scholars based in United States, United Kingdom and Italy. Peter Kontschieder's co-authors include Samuel Rota Bulò, Antonio Criminisi, Madalina Fiterau, Horst Bischof, Marcello Pelillo, Lorenzo Porzi, Matthias Nießner, Norman Müller, Yawar Siddiqui and Pushmeet Kohli and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neurology and ACM Transactions on Graphics.

In The Last Decade

Peter Kontschieder

41 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes

2017 797 citations Samuel Rota Bulò, Peter Kontschieder et al. profile →

Peers

Peter Kontschieder

CVPR

AI

AE

MT

Wenqi Xian United States

Germán Ros Spain

Joanna Materzyńska Mexico

Zsolt Kira United States

Marc Proesmans Belgium

Jiale Cao China

Xizhou Zhu China

João Carreira United States

Zheng-Ning Liu China

Xuemiao Xu China

Wenqi Xian United States

Peter Kontschieder

1.3k ×1.0

CVPR

468 ×0.8

AI

135 ×0.7

AE

335 ×2.3

AE

106 ×0.9

MT

Citations per year, relative to Peter Kontschieder Peter Kontschieder (= 1×) peers Wenqi Xian

Countries citing papers authored by Peter Kontschieder

Since Specialization

Citations

This map shows the geographic impact of Peter Kontschieder'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 Peter Kontschieder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Kontschieder more than expected).

Fields of papers citing papers by Peter Kontschieder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Kontschieder. 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 Peter Kontschieder. The network helps show where Peter Kontschieder may publish in the future.

Co-authorship network of co-authors of Peter Kontschieder

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Kontschieder. A scholar is included among the top collaborators of Peter Kontschieder based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Kontschieder. Peter Kontschieder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Bulò, Samuel Rota, et al.. (2025). Hardware-Rasterized Ray-Based Gaussian Splatting. 485–494. 1 indexed citations

2.

Schwarz, K, et al.. (2024). MultiDiff: Consistent Novel View Synthesis from a Single Image. 10258–10268. 2 indexed citations

3.

Chen, Junkun, Samuel Rota Bulò, Norman Müller, et al.. (2024). ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene Editing. 21071–21080. 2 indexed citations

4.

Fischer, Tobias, Lorenzo Porzi, Samuel Rota Bulò, Marc Pollefeys, & Peter Kontschieder. (2024). Multi-Level Neural Scene Graphs for Dynamic Urban Environments. 21125–21135. 2 indexed citations

5.

Turki, Haithem, Samuel Rota Bulò, Lorenzo Porzi, et al.. (2024). HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces. 19647–19656. 6 indexed citations

6.

Sarlin, Paul-Edouard, Daniel DeTone, Tsun-Yi Yang, et al.. (2023). OrienterNet: Visual Localization in 2D Public Maps with Neural Matching. 21632–21642. 45 indexed citations

7.

Sun, Min, et al.. (2023). Dense Prediction with Attentive Feature Aggregation. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 97–106. 2 indexed citations

8.

Müller, Norman, et al.. (2023). GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields. ACM Transactions on Graphics. 42(6). 1–14. 5 indexed citations

9.

Burggraaff, Jessica, Jonas F. Dorn, Marcus D’Souza, et al.. (2019). Video-Based Pairwise Comparison: Enabling the Development of Automated Rating of Motor Dysfunction in Multiple Sclerosis. Archives of Physical Medicine and Rehabilitation. 101(2). 234–241. 4 indexed citations

10.

Ioannou, Yani, Duncan Robertson, Darko Zikic, et al.. (2016). Decision Forests, Convolutional Networks and the Models in-Between Microsoft Research Technical Report 2015-58. 1 indexed citations

11.

Sarkar, Advait, Cecily Morrison, Jonas F. Dorn, et al.. (2016). Setwise Comparison. 261–271. 16 indexed citations

12.

Morrison, Cecily, Marcus D’Souza, Kit Huckvale, et al.. (2015). Usability and Acceptability of ASSESS MS: Assessment of Motor Dysfunction in Multiple Sclerosis Using Depth-Sensing Computer Vision. JMIR Human Factors. 2(1). e11–e11. 20 indexed citations

13.

Kontschieder, Peter, Madalina Fiterau, Antonio Criminisi, & Samuel Rota Bulò. (2015). Deep Neural Decision Forests [Winner of the David Marr Prize 2015]. 5 indexed citations

14.

D’Souza, Marcus, Jessica Burggraaff, Peter Kontschieder, et al.. (2015). Automated quantification of motor dysfunction in multiple sclerosis using depth-sensing computer vision (P3.213). Neurology. 84(14_supplement). 2 indexed citations

15.

Kontschieder, Peter, Samuel Rota Bulò, Antonio Criminisi, et al.. (2012). Context-Sensitive Decision Forests for Object Detection. ARCA (Università Ca' Foscari Venezia). 25. 431–439. 22 indexed citations

16.

Kontschieder, Peter, Samuel Rota Bulò, Michael Donoser, Marcello Pelillo, & Horst Bischof. (2012). Evolutionary Hough Games for coherent object detection. Computer Vision and Image Understanding. 116(11). 1149–1158. 10 indexed citations

17.

Bulò, Samuel Rota, Peter Kontschieder, Marcello Pelillo, & Horst Bischof. (2012). Structured Local Predictors for image labelling. ARCA (Università Ca' Foscari Venezia). 3530–3537. 6 indexed citations

18.

Kontschieder, Peter, Hayko Riemenschneider, Michael Donoser, & Horst Bischof. (2011). Discriminative Learning of Contour Fragments for Object Detection. 4.1–4.12. 6 indexed citations

19.

Kontschieder, Peter, Samuel Rota Bulò, Horst Bischof, & Marcello Pelillo. (2011). Structured class-labels in random forests for semantic image labelling. Zenodo (CERN European Organization for Nuclear Research). 143 indexed citations

20.

Kontschieder, Peter, Michael Donoser, & Horst Bischof. (2009). Improving Affinity Matrices by Modified Mutual kNN-Graphs. 225–235. 2 indexed citations

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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