Jüergen Gall

13.8k total citations · 3 hit papers
131 papers, 6.2k citations indexed

About

Jüergen Gall is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Jüergen Gall has authored 131 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Computer Vision and Pattern Recognition, 29 papers in Artificial Intelligence and 18 papers in Control and Systems Engineering. Recurrent topics in Jüergen Gall's work include Human Pose and Action Recognition (64 papers), Video Surveillance and Tracking Methods (38 papers) and Advanced Vision and Imaging (31 papers). Jüergen Gall is often cited by papers focused on Human Pose and Action Recognition (64 papers), Video Surveillance and Tracking Methods (38 papers) and Advanced Vision and Imaging (31 papers). Jüergen Gall collaborates with scholars based in Germany, Switzerland and United States. Jüergen Gall's co-authors include Luc Van Gool, Gabriele Fanelli, Pau Panareda Busto, Hans‐Peter Seidel, Matthias Dantone, Alexander Richard, Angela Yao, Bodo Rosenhahn, Christian Theobalt and Carsten Stoll and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Jüergen Gall

118 papers receiving 5.9k 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.

Hough Forests for Object Detection, Tracking, and Action Recognition

2011 399 citations Jüergen Gall, Luc Van Gool et al. profile →
Random Forests for Real Time 3D Face Analysis

2012 367 citations Gabriele Fanelli, Matthias Dantone et al. International Journal of Computer Vision profile →
Open Set Domain Adaptation

2017 355 citations Jüergen Gall et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jüergen Gall Germany	45	5.0k	1.5k	906	826	629	131	6.2k
Leonid Sigal United States	37	4.6k 0.9×	1.3k 0.9×	667 0.7×	708 0.9×	641 1.0×	118	5.4k
Cristian Sminchisescu United States	45	7.2k 1.4×	1.6k 1.0×	1.0k 1.1×	947 1.1×	1.2k 1.8×	126	8.2k
Peter Gehler Germany	26	4.6k 0.9×	1.5k 1.0×	727 0.8×	401 0.5×	657 1.0×	44	5.7k
Toby Sharp United Kingdom	16	4.5k 0.9×	775 0.5×	1.8k 1.9×	794 1.0×	996 1.6×	21	5.7k
Cewu Lu China	39	4.7k 0.9×	1.1k 0.7×	463 0.5×	925 1.1×	678 1.1×	134	6.7k
Christoph Bregler United States	28	4.6k 0.9×	885 0.6×	495 0.5×	1.2k 1.4×	471 0.7×	44	5.6k
Yichen Wei China	21	8.0k 1.6×	1.7k 1.1×	560 0.6×	315 0.4×	460 0.7×	36	9.8k
Bodo Rosenhahn Germany	34	3.3k 0.6×	896 0.6×	349 0.4×	604 0.7×	413 0.7×	205	4.5k
Limin Wang China	44	5.7k 1.1×	2.9k 1.9×	626 0.7×	233 0.3×	1.2k 1.9×	144	6.8k
Zicheng Liu United States	48	9.0k 1.8×	3.4k 2.2×	2.1k 2.3×	712 0.9×	2.1k 3.3×	182	11.3k

Countries citing papers authored by Jüergen Gall

Since Specialization

Citations

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

Fields of papers citing papers by Jüergen Gall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jüergen Gall

This figure shows the co-authorship network connecting the top 25 collaborators of Jüergen Gall. A scholar is included among the top collaborators of Jüergen Gall 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 Jüergen Gall. Jüergen Gall 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.

Marani, Roberto, et al.. (2025). Multi-modal temporal action segmentation for manufacturing scenarios. Engineering Applications of Artificial Intelligence. 148. 110320–110320. 1 indexed citations

2.

Shaker, Abdelrahman, et al.. (2025). GroupMamba: Efficient Group-Based Visual State Space Model. 14912–14922. 1 indexed citations

3.

Gour, Neha, Taimur Hassan, Nabil Maalej, et al.. (2025). STING-BEE : Towards Vision-Language Model for Real-World X-ray Baggage Security Inspection. 20767–20777.

4.

Li, Shuai, et al.. (2025). SyncVP: Joint Diffusion for Synchronous Multi-Modal Video Prediction. 13787–13797.

5.

Farha, Yazan Abu, et al.. (2025). MANTA: Diffusion Mamba for Efficient and Effective Stochastic Long-Term Dense Action Anticipation. 3438–3448.

6.

Gall, Jüergen, et al.. (2024). Focal-TSMP: deep learning for vegetation health prediction and agricultural drought assessment from a regional climate simulation. Geoscientific model development. 17(7). 2987–3023.

7.

Hochgeschwender, Nico, et al.. (2024). A Multimodal Handover Failure Detection Dataset and Baselines. 17013–17019. 1 indexed citations

8.

Zhang, Dan, et al.. (2023). Generating novel scene compositions from single images and videos. Computer Vision and Image Understanding. 239. 103888–103888. 7 indexed citations

9.

Wang, Lei, et al.. (2023). Computer Vision – ACCV 2022. Lecture notes in computer science. 1 indexed citations

10.

Grund, Christian, et al.. (2023). ElliPose: Stereoscopic 3D Human Pose Estimation by Fitting Ellipsoids. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 29. 2870–2880. 1 indexed citations

11.

Zhang, Dan, et al.. (2022). OASIS: Only Adversarial Supervision for Semantic Image Synthesis. International Journal of Computer Vision. 130(12). 2903–2923. 24 indexed citations

12.

Li, Shijie, et al.. (2021). Spatial-Temporal Consistency Network for Low-Latency Trajectory Forecasting. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 1920–1929. 13 indexed citations

13.

Gall, Jüergen, et al.. (2019). Cross-Modal Knowledge Distillation for Action Recognition. 6–10. 57 indexed citations

14.

Behley, Jens, Martin Garbade, Andres Milioto, et al.. (2019). A Dataset for Semantic Segmentation of Point Cloud Sequences. arXiv (Cornell University). 7 indexed citations

15.

Iqbal, Umar, Anton Milan, & Jüergen Gall. (2017). PoseTrack: Joint Multi-person Pose Estimation and Tracking. 4654–4663. 138 indexed citations

16.

Kuehne, Hilde, Jüergen Gall, & T. Serre. (2016). An end-to-end generative framework for video segmentation and recognition. 1–8. 103 indexed citations

17.

Dantone, Matthias, Jüergen Gall, Christian Leistner, & Luc Van Gool. (2013). Human Pose Estimation Using Body Parts Dependent Joint Regressors. Lirias (KU Leuven). 3041–3048. 168 indexed citations

18.

Fossati, Andrea, Jüergen Gall, Helmut Gräbner, Xiaofeng Ren, & Kurt Konolige. (2012). Consumer Depth Cameras for Computer Vision: Research Topics and Applications. DIAL (Catholic University of Leuven). 27 indexed citations

19.

Ballan, Luca, Aparna Taneja, Jüergen Gall, Luc Van Gool, & Marc Pollefeys. (2012). Motion capture of hands in action using discriminative salient points. Lecture notes in computer science. 7577. 640–653.

20.

Fanelli, Gabriele, Jüergen Gall, & Luc Van Gool. (2011). Real time head pose estimation with random regression forests. Lirias (KU Leuven). 617–624. 300 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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