Yebin Liu

10.6k total citations · 5 hit papers
171 papers, 5.7k citations indexed

About

Yebin Liu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Yebin Liu has authored 171 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Computer Vision and Pattern Recognition, 59 papers in Computational Mechanics and 43 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Yebin Liu's work include Advanced Vision and Imaging (103 papers), 3D Shape Modeling and Analysis (56 papers) and Human Pose and Action Recognition (46 papers). Yebin Liu is often cited by papers focused on Advanced Vision and Imaging (103 papers), 3D Shape Modeling and Analysis (56 papers) and Human Pose and Action Recognition (46 papers). Yebin Liu collaborates with scholars based in China, United States and Germany. Yebin Liu's co-authors include Qionghai Dai, Tao Yu, Zerong Zheng, Gaochang Wu, Hongwen Zhang, Tianyou Chai, Kaiwen Guo, Xing Lin, Feng Xu and Lu Fang and has published in prestigious journals such as Nature Communications, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Yebin Liu

154 papers receiving 5.5k citations

Hit Papers

5 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.

Light Field Image Processing: An Overview

2017 412 citations Gaochang Wu, Qionghai Dai et al. profile →
PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop

2021 202 citations Hongwen Zhang, Yebin Liu et al. profile →
Function4D: Real-time Human Volumetric Capture from Very Sparse Consumer RGBD Sensors

2021 180 citations Tao Yu, Zerong Zheng et al. profile →
PaMIR: Parametric Model-Conditioned Implicit Representation for Image-Based Human Reconstruction

2021 179 citations Zerong Zheng, Tao Yu et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
Animatable Gaussians: Learning Pose-Dependent Gaussian Maps for High-Fidelity Human Avatar Modeling

2024 48 citations Zerong Zheng, Yebin Liu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yebin Liu China	46	4.7k	2.1k	1.2k	615	572	171	5.7k
Jingyi Yu China	37	4.4k 0.9×	826 0.4×	1.1k 0.9×	185 0.3×	817 1.4×	219	5.3k
Angjoo Kanazawa United States	27	5.3k 1.1×	2.5k 1.2×	2.0k 1.7×	993 1.6×	112 0.2×	51	6.4k
Michael Zollhöfer Germany	39	7.1k 1.5×	2.1k 1.0×	1.5k 1.2×	527 0.9×	171 0.3×	68	8.0k
Francesc Moreno-Noguer Spain	34	5.4k 1.1×	904 0.4×	627 0.5×	894 1.5×	241 0.4×	147	6.8k
Steve Marschner United States	35	1.8k 0.4×	1.9k 0.9×	2.1k 1.8×	236 0.4×	144 0.3×	102	4.0k
Derek Nowrouzezahrai Canada	30	2.1k 0.4×	1.0k 0.5×	1.6k 1.4×	257 0.4×	240 0.4×	113	3.0k
Marc Stamminger Germany	34	5.0k 1.1×	1.6k 0.7×	2.0k 1.6×	216 0.4×	181 0.3×	184	6.2k
Yoichi Sato Japan	43	4.5k 1.0×	397 0.2×	837 0.7×	291 0.5×	534 0.9×	246	6.6k
Christoph Rhemann United Kingdom	27	3.5k 0.7×	407 0.2×	536 0.4×	192 0.3×	633 1.1×	42	3.9k
Chiew‐Lan Tai Hong Kong	32	2.7k 0.6×	2.0k 1.0×	1.4k 1.2×	403 0.7×	145 0.3×	89	4.5k

Countries citing papers authored by Yebin Liu

Since Specialization

Citations

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

Fields of papers citing papers by Yebin Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yebin Liu

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

Shao, Ruizhi, Yinghao Xu, Yujun Shen, et al.. (2025). Interspatial Attention for Efficient 4D Human Video Generation. ACM Transactions on Graphics. 44(4). 1–16.

Zhou, Boyao, Ruizhi Shao, Boning Liu, et al.. (2025). GPS-Gaussian+: Generalizable Pixel-wise 3D Gaussian Splatting for Real-Time Human-Scene Rendering from Sparse Views. IEEE Transactions on Pattern Analysis and Machine Intelligence. PP. 1–16.

Wu, Gaochang, et al.. (2025). Geo-NI: Geometry-Aware Neural Interpolation for Light Field Rendering. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(12). 11091–11106.

Liu, Boning, Zerong Zheng, & Yebin Liu. (2024). Implicit Surface Representation Using Epanechnikov Mixture Regression. IEEE Signal Processing Letters. 31. 1810–1814.

Liu, Boning, et al.. (2024). 5-D Epanechnikov Mixture-of-Experts in Light Field Image Compression. IEEE Transactions on Image Processing. 33. 4029–4043. 2 indexed citations

Shao, Ruizhi, et al.. (2024). Tele-Aloha: A Telepresence System with Low-budget and High-authenticity Using Sparse RGB Cameras. 1–12.

Li, Zhe, et al.. (2024). LayGA: Layered Gaussian Avatars for Animatable Clothing Transfer. 1–11. 5 indexed citations

An, Liang, Jilong Ren, Tao Yu, et al.. (2023). Three-dimensional surface motion capture of multiple freely moving pigs using MAMMAL. Nature Communications. 14(1). 7727–7727. 13 indexed citations

Jia, Kai, Hongwen Zhang, Liang An, & Yebin Liu. (2023). Delving Deep into Pixel Alignment Feature for Accurate Multi-View Human Mesh Recovery. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 989–997. 4 indexed citations

10.

Shao, Ruizhi, Zerong Zheng, Hongwen Zhang, et al.. (2022). FloRen: Real-time High-quality Human Performance Rendering via Appearance Flow Using Sparse RGB Cameras. 1–10. 9 indexed citations

11.

Yu, Tao, et al.. (2020). MulayCap: Multi-Layer Human Performance Capture Using a Monocular Video Camera. IEEE Transactions on Visualization and Computer Graphics. 28(4). 1862–1879. 21 indexed citations

12.

Li, Kun, et al.. (2019). 3D Face Reprentation and Reconstruction with Multi-scale Graph Convolutional Autoencoders. 1558–1563. 4 indexed citations

13.

Xu, Lan, et al.. (2019). UnstructuredFusion: Realtime 4D Geometry and Texture Reconstruction Using Commercial RGBD Cameras. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(10). 2508–2522. 52 indexed citations

14.

Xu, Lan, Wei Cheng, Kaiwen Guo, et al.. (2019). FlyFusion: Realtime Dynamic Scene Reconstruction Using a Flying Depth Camera. IEEE Transactions on Visualization and Computer Graphics. 27(1). 68–82. 36 indexed citations

15.

Wu, Gaochang, et al.. (2018). Cross-Scale Reference-Based Light Field Super-Resolution. IEEE Transactions on Computational Imaging. 4(3). 406–418. 22 indexed citations

16.

Wu, Gaochang, Yebin Liu, Lu Fang, Qionghai Dai, & Tianyou Chai. (2018). Light Field Reconstruction Using Convolutional Network on EPI and Extended Applications. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(7). 1681–1694. 103 indexed citations

17.

Li, Xiu, Hongdong Li, Hanbyul Joo, Yebin Liu, & Yaser Sheikh. (2018). Structure from Recurrent Motion: From Rigidity to Recurrency. ANU Open Research (Australian National University). 3032–3040. 18 indexed citations

18.

Yuan, Xiaoyun, et al.. (2016). Magic Glasses: From 2D to 3D. IEEE Transactions on Circuits and Systems for Video Technology. 27(4). 843–854. 5 indexed citations

19.

Deng, Yue, Yanyu Zhao, Yebin Liu, & Qionghai Dai. (2013). Differences Help Recognition: A Probabilistic Interpretation. PLoS ONE. 8(6). e63385–e63385. 9 indexed citations

20.

Er, Guihua, et al.. (2006). An optimal quality adaptation mechanism for end-to-end FGS video FGS video transmission. Journal of Zhejiang University. Science A. 7(S1). 119–124. 1 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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