Danda Pani Paudel

2.0k total citations · 1 hit paper
62 papers, 917 citations indexed

About

Danda Pani Paudel is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Danda Pani Paudel has authored 62 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 22 papers in Aerospace Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Danda Pani Paudel's work include Robotics and Sensor-Based Localization (22 papers), Advanced Vision and Imaging (21 papers) and Advanced Image and Video Retrieval Techniques (13 papers). Danda Pani Paudel is often cited by papers focused on Robotics and Sensor-Based Localization (22 papers), Advanced Vision and Imaging (21 papers) and Advanced Image and Video Retrieval Techniques (13 papers). Danda Pani Paudel collaborates with scholars based in Switzerland, Belgium and France. Danda Pani Paudel's co-authors include Luc Van Gool, Martin Danelljan, Fisher Yu, Christoph Mayer, Goutam Bhat, Matthieu Paul, Cédric Demonceaux, Zhiwu Huang, Changhong Fu and Ajad Chhatkuli and has published in prestigious journals such as International Journal of Computer Vision, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Danda Pani Paudel

57 papers receiving 902 citations

Hit Papers

1 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.

Transforming Model Prediction for Tracking

2022 263 citations Christoph Mayer, Martin Danelljan et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danda Pani Paudel Switzerland	16	742	289	190	73	61	62	917
Xingyu Zeng Hong Kong	14	1.1k 1.5×	247 0.9×	287 1.5×	48 0.7×	53 0.9×	18	1.3k
Pengpeng Liang China	12	842 1.1×	267 0.9×	110 0.6×	144 2.0×	87 1.4×	29	1.0k
Daniel Ponsa Spain	13	809 1.1×	321 1.1×	197 1.0×	26 0.4×	49 0.8×	32	976
Shilong Liu China	11	728 1.0×	177 0.6×	280 1.5×	20 0.3×	71 1.2×	22	1.1k
Seunghoon Hong South Korea	13	967 1.3×	90 0.3×	321 1.7×	90 1.2×	47 0.8×	25	1.2k
Michael D. Breitenstein Switzerland	9	1.1k 1.4×	181 0.6×	430 2.3×	76 1.0×	94 1.5×	11	1.2k
Afshin Dehghan United States	8	1.5k 2.1×	302 1.0×	232 1.2×	196 2.7×	124 2.0×	18	1.6k
Liangchen Song United States	12	920 1.2×	107 0.4×	261 1.4×	54 0.7×	38 0.6×	22	1.2k

Countries citing papers authored by Danda Pani Paudel

Since Specialization

Citations

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

Fields of papers citing papers by Danda Pani Paudel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danda Pani Paudel. 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 Danda Pani Paudel. The network helps show where Danda Pani Paudel may publish in the future.

Co-authorship network of co-authors of Danda Pani Paudel

This figure shows the co-authorship network connecting the top 25 collaborators of Danda Pani Paudel. A scholar is included among the top collaborators of Danda Pani Paudel 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 Danda Pani Paudel. Danda Pani Paudel 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.

Xu, Zheng, et al.. (2025). Benchmarking Multi-Modal Semantic Segmentation Under Sensor Failures: Missing and Noisy Modality Robustness. 1567–1577.

2.

Nikolov, Nikolay, et al.. (2025). ReVLA: Reverting Visual Domain Limitation of Robotic Foundation Models. 8679–8686.

3.

Paudel, Danda Pani, et al.. (2025). Complexity Experts are Task-Discriminative Learners for Any Image Restoration. 12753–12763. 4 indexed citations

4.

Paudel, Danda Pani, et al.. (2025). Diffusion-Based Particle-DETR for BEV Perception. 2725–2735. 2 indexed citations

5.

Sun, Guolei, Yun Liu, Thomas Probst, et al.. (2024). Rethinking Global Context in Crowd Counting. 21(4). 640–651. 4 indexed citations

6.

Gool, Luc Van, et al.. (2024). A Unified and Interpretable Emotion Representation and Expression Generation. 2447–2456. 3 indexed citations

7.

Ma, Qi, Danda Pani Paudel, Ajad Chhatkuli, & Luc Van Gool. (2024). Continuous Pose for Monocular Cameras in Neural Implicit Representation. 5291–5301. 1 indexed citations

8.

Paudel, Danda Pani, et al.. (2024). ExtDM: Distribution Extrapolation Diffusion Model for Video Prediction. 19310–19320. 11 indexed citations

9.

Wu, Zongwei, Danda Pani Paudel, Rémi Boutteau, et al.. (2024). Event-Free Moving Object Segmentation from Moving Ego Vehicle. 8960–8965.

10.

Popović, Nikola, Dimitrios Christodoulou, Danda Pani Paudel, Xi Wang, & Luc Van Gool. (2023). Model-aware 3D Eye Gaze from Weak and Few-shot Supervisions. 746–751.

11.

Wu, Zongwei, et al.. (2022). Robust RGB-D Fusion for Saliency Detection. 403–413. 23 indexed citations

12.

Duan, Ran, Danda Pani Paudel, Changhong Fu, & Peng Lu. (2022). Stereo Orientation Prior for UAV Robust and Accurate Visual Odometry. IEEE/ASME Transactions on Mechatronics. 27(5). 3440–3450. 16 indexed citations

13.

Liniger, Alexander, et al.. (2022). Topology Preserving Local Road Network Estimation from Single Onboard Camera Image. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17242–17251. 19 indexed citations

14.

Mayer, Christoph, Martin Danelljan, Goutam Bhat, et al.. (2022). Transforming Model Prediction for Tracking. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8721–8730. 263 indexed citations breakdown →

15.

Huang, Zhiwu, et al.. (2021). Efficient conditional GAN transfer with knowledge propagation across classes. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 13 indexed citations

16.

Gong, Rui, Dengxin Dai, Yuhua Chen, et al.. (2021). Analogical Image Translation for Fog Generation. Proceedings of the AAAI Conference on Artificial Intelligence. 35(2). 1433–1441. 11 indexed citations

17.

Paudel, Danda Pani, et al.. (2020). Soft Contrastive Learning for Visual Localization. Neural Information Processing Systems. 33. 11119–11130. 8 indexed citations

18.

Paudel, Danda Pani, et al.. (2019). Mapping, Localization and Path Planning for Image-Based Navigation Using Visual Features and Map. 7375–7383. 27 indexed citations

19.

Paudel, Danda Pani, et al.. (2018). Image-based Navigation using Visual Features and Map.. arXiv (Cornell University). 1 indexed citations

20.

Paudel, Danda Pani, et al.. (2017). Static and Dynamic Objects Analysis as a 3D Vector Field. 234–243. 5 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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