Fabian Manhardt

2.4k total citations · 1 hit paper
24 papers, 753 citations indexed

About

Fabian Manhardt is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Fabian Manhardt has authored 24 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 11 papers in Control and Systems Engineering and 11 papers in Aerospace Engineering. Recurrent topics in Fabian Manhardt's work include Robotics and Sensor-Based Localization (11 papers), Robot Manipulation and Learning (10 papers) and Human Pose and Action Recognition (7 papers). Fabian Manhardt is often cited by papers focused on Robotics and Sensor-Based Localization (11 papers), Robot Manipulation and Learning (10 papers) and Human Pose and Action Recognition (7 papers). Fabian Manhardt collaborates with scholars based in Germany, United States and China. Fabian Manhardt's co-authors include Federico Tombari, Xiangyang Ji, Gu Wang, Nassir Navab, Yan Di, Marie‐Julie Rakotosaona, Benjamin Busam, Michael Niemeyer, Amy Apon and André Luckow and has published in prestigious journals such as Computer Vision and Image Understanding, IEEE Robotics and Automation Letters and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Fabian Manhardt

22 papers receiving 738 citations

Hit Papers

GDR-Net: Geometry-Guided Direct Regression Network for Mo... 2021 2026 2022 2024 2021 50 100 150 200
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.

  1. GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation
    2021 245 citations Gu Wang, Fabian Manhardt et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabian Manhardt Germany 13 496 411 292 90 82 24 753
Pete Florence United States 12 574 1.2× 361 0.9× 279 1.0× 91 1.0× 96 1.2× 17 996
Mustafa Mukadam United States 15 458 0.9× 390 0.9× 228 0.8× 96 1.1× 45 0.5× 30 753
Leopoldo Armesto Spain 15 316 0.6× 221 0.5× 258 0.9× 55 0.6× 47 0.6× 58 659
Stefan Hinterstoißer Germany 13 1.0k 2.0× 452 1.1× 790 2.7× 104 1.2× 34 0.4× 14 1.3k
Kuan Fang United States 9 493 1.0× 279 0.7× 130 0.4× 99 1.1× 27 0.3× 16 724
Jeffrey Ichnowski United States 16 207 0.4× 393 1.0× 95 0.3× 180 2.0× 42 0.5× 51 621
Jason Rambach Germany 14 380 0.8× 183 0.4× 217 0.7× 72 0.8× 19 0.2× 41 611
Hamidreza Kasaei Netherlands 13 350 0.7× 199 0.5× 150 0.5× 56 0.6× 31 0.4× 58 566
Roland Gerærts Netherlands 16 679 1.4× 402 1.0× 256 0.9× 40 0.4× 13 0.2× 49 907
Ε. Freund Germany 12 282 0.6× 680 1.7× 106 0.4× 122 1.4× 28 0.3× 78 930

Countries citing papers authored by Fabian Manhardt

Since Specialization
Citations

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

Fields of papers citing papers by Fabian Manhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabian Manhardt

This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Manhardt. A scholar is included among the top collaborators of Fabian Manhardt 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 Fabian Manhardt. Fabian Manhardt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Manhardt, Fabian, et al.. (2025). View-to-label: Multi-view consistency for self-supervised monocular 3D object detection. Computer Vision and Image Understanding. 254. 104320–104320.
2.
Niemeyer, Michael, Fabian Manhardt, Marie‐Julie Rakotosaona, et al.. (2025). RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real- Time Rendering with 900+ FPS. 134–144. 6 indexed citations
3.
Di, Yan, Gu Wang, Fabian Manhardt, et al.. (2024). MOHO: Learning Single-View Hand-Held Object Reconstruction with Multi-View Occlusion-Aware Supervision. 9992–10002. 4 indexed citations
4.
Chen, Yamei, Di Yan, Guangyao Zhai, et al.. (2024). SecondPose: SE(3)-Consistent Dual-Stream Feature Fusion for Category-Level Pose Estimation. 9959–9969. 6 indexed citations
5.
Zhai, Guangyao, Dianye Huang, Yan Di, et al.. (2024). SG-Bot: Object Rearrangement via Coarse-to-Fine Robotic Imagination on Scene Graphs. 4303–4310. 9 indexed citations
6.
Manhardt, Fabian, et al.. (2024). TextMesh: Generation of Realistic 3D Meshes From Text Prompts. 1554–1563. 34 indexed citations
7.
Di, Yan, Martin Sundermeyer, Fabian Manhardt, et al.. (2024). HiPose: Hierarchical Binary Surface Encoding and Correspondence Pruning for RGB-D 6DoF Object Pose Estimation. 10148–10158. 5 indexed citations
8.
9.
Rakotosaona, Marie‐Julie, et al.. (2024). NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes. 1156–1165. 23 indexed citations
10.
Manhardt, Fabian, et al.. (2023). Self-Supervised Category-Level 6D Object Pose Estimation With Optical Flow Consistency. IEEE Robotics and Automation Letters. 8(5). 2510–2517. 6 indexed citations
11.
Di, Yan, Fabian Manhardt, Jason Rambach, et al.. (2023). U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds. 8850–8861. 4 indexed citations
12.
Di, Yan, Guangyao Zhai, Fabian Manhardt, et al.. (2023). OPA-3D: Occlusion-Aware Pixel-Wise Aggregation for Monocular 3D Object Detection. IEEE Robotics and Automation Letters. 8(3). 1327–1334. 21 indexed citations
13.
Zhai, Guangyao, Di Yan, Fabian Manhardt, et al.. (2023). IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction. 5507–5516. 16 indexed citations
14.
Di, Yan, et al.. (2022). SSP-Pose: Symmetry-Aware Shape Prior Deformation for Direct Category-Level Object Pose Estimation. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 7452–7459. 20 indexed citations
15.
Di, Yan, et al.. (2022). GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 6771–6781. 77 indexed citations
16.
Manhardt, Fabian, et al.. (2022). Object-Aware Monocular Depth Prediction With Instance Convolutions. IEEE Robotics and Automation Letters. 7(2). 5389–5396. 1 indexed citations
17.
Wang, Pengyuan, Fabian Manhardt, Luca Minciullo, et al.. (2021). DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 5733–5740. 15 indexed citations
18.
Minciullo, Luca, et al.. (2021). DB-GAN: Boosting Object Recognition Under Strong Lighting Conditions. 2938–2948. 3 indexed citations
19.
Di, Yan, Fabian Manhardt, Gu Wang, et al.. (2021). SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 12376–12385. 97 indexed citations
20.
Luckow, André, et al.. (2015). Automotive big data: Applications, workloads and infrastructures. 1201–1210. 60 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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