Simon Niklaus

3.5k total citations · 2 hit papers
16 papers, 1.9k citations indexed

About

Simon Niklaus is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Simon Niklaus has authored 16 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 1 paper in Signal Processing. Recurrent topics in Simon Niklaus's work include Advanced Vision and Imaging (15 papers), Advanced Image Processing Techniques (11 papers) and Image Processing Techniques and Applications (6 papers). Simon Niklaus is often cited by papers focused on Advanced Vision and Imaging (15 papers), Advanced Image Processing Techniques (11 papers) and Image Processing Techniques and Applications (6 papers). Simon Niklaus collaborates with scholars based in United States, China and Australia. Simon Niklaus's co-authors include Feng Liu, Long Mai, Feng Liu, Oliver Wang, Noah Snavely, Zhengqi Li, Shuicheng Yan, Chunhua Shen, Jianming Zhang and Simon Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Simon Niklaus

14 papers receiving 1.9k 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.

Video Frame Interpolation via Adaptive Separable Convolution

2017 418 citations Simon Niklaus, Long Mai et al. PDXScholar (Portland State University) profile →
Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes

2021 369 citations Zhengqi Li, Simon Niklaus et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Simon Niklaus United States	12	1.8k	395	339	216	205	16	1.9k
Nima Khademi Kalantari United States	20	2.3k 1.3×	456 1.2×	744 2.2×	84 0.4×	318 1.6×	42	2.6k
Alex Rav-Acha Israel	16	1.5k 0.8×	297 0.8×	140 0.4×	133 0.6×	59 0.3×	24	1.5k
Wei‐Sheng Lai United States	19	2.1k 1.2×	967 2.4×	141 0.4×	100 0.5×	126 0.6×	27	2.4k
Mei Yu China	24	1.6k 0.9×	544 1.4×	63 0.2×	403 1.9×	114 0.6×	162	1.8k
Jon Hasselgren Sweden	17	752 0.4×	121 0.3×	511 1.5×	60 0.3×	274 1.3×	42	1.0k
Zeev Farbman United States	13	1.9k 1.1×	734 1.9×	286 0.8×	34 0.2×	105 0.5×	15	2.0k
Jiahao Pang Hong Kong	15	857 0.5×	212 0.5×	90 0.3×	36 0.2×	221 1.1×	44	1.1k
Michael Bleyer Austria	15	2.1k 1.2×	515 1.3×	166 0.5×	57 0.3×	63 0.3×	25	2.2k
Jae-Young Sim South Korea	19	1.6k 0.9×	475 1.2×	94 0.3×	27 0.1×	49 0.2×	62	1.7k

Countries citing papers authored by Simon Niklaus

Since Specialization

Citations

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

Fields of papers citing papers by Simon Niklaus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Niklaus

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Niklaus. A scholar is included among the top collaborators of Simon Niklaus 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 Simon Niklaus. Simon Niklaus 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:

16 of 16 papers shown

1.

Jin, Xin, Simon Niklaus, Zhoutong Zhang, et al.. (2025). Classic Video Denoising in a Machine Learning World: Robust, Fast, and Controllable. 2084–2093.

2.

Yin, Wei, Jianming Zhang, Oliver Wang, et al.. (2024). Towards Domain-agnostic Depth Completion. 21(4). 652–669.

3.

Niklaus, Simon, Ping Hu, & Jiawen Chen. (2023). Splatting-based Synthesis for Video Frame Interpolation. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 713–723. 11 indexed citations

4.

Hu, Ping, et al.. (2023). Video Frame Interpolation With Many-to-Many Splatting and Spatial Selective Refinement. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(2). 823–836. 5 indexed citations

5.

Kim, Soo Ye, Jianming Zhang, Simon Niklaus, et al.. (2022). Layered Depth Refinement with Mask Guidance. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 3845–3855. 4 indexed citations

6.

Hu, Ping, et al.. (2022). Many-to-many Splatting for Efficient Video Frame Interpolation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 3543–3552. 40 indexed citations

7.

Yin, Wei, Jianming Zhang, Oliver Wang, et al.. (2022). Towards Accurate Reconstruction of 3D Scene Shape From A Single Monocular Image. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(5). 6480–6494. 32 indexed citations

8.

Li, Zhengqi, Simon Niklaus, Noah Snavely, & Oliver Wang. (2021). Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes. 6494–6504. 369 indexed citations breakdown →

9.

Yin, Wei, Jianming Zhang, Oliver Wang, et al.. (2021). Learning to Recover 3D Scene Shape from a Single Image. 204–213. 112 indexed citations

10.

Niklaus, Simon, Long Mai, & Oliver Wang. (2021). Revisiting Adaptive Convolutions for Video Frame Interpolation. 1098–1108. 37 indexed citations

11.

Niklaus, Simon, Jonathan T. Barron, Neal Wadhwa, et al.. (2021). Learned Dual-View Reflection Removal. PDXScholar (Portland State University). 3712–3721. 13 indexed citations

12.

Niklaus, Simon & Feng Liu. (2020). Softmax Splatting for Video Frame Interpolation. PDXScholar (Portland State University). 5436–5445. 213 indexed citations

13.

Niklaus, Simon, Long Mai, Shuicheng Yan, & Feng Liu. (2019). 3D Ken Burns effect from a single image. ACM Transactions on Graphics. 38(6). 1–15. 127 indexed citations

14.

Niklaus, Simon & Feng Liu. (2018). Context-Aware Synthesis for Video Frame Interpolation. 1701–1710. 253 indexed citations

15.

Niklaus, Simon, Long Mai, & Feng Liu. (2017). Video Frame Interpolation via Adaptive Separable Convolution. PDXScholar (Portland State University). 261–270. 418 indexed citations breakdown →

16.

Niklaus, Simon, Long Mai, & Feng Liu. (2017). Video Frame Interpolation via Adaptive Convolution. 2270–2279. 296 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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