Fanyi Xiao

2.1k total citations · 2 hit papers
23 papers, 942 citations indexed

About

Fanyi Xiao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Fanyi Xiao has authored 23 papers receiving a total of 942 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Fanyi Xiao's work include Advanced Image and Video Retrieval Techniques (10 papers), Advanced Neural Network Applications (8 papers) and Multimodal Machine Learning Applications (7 papers). Fanyi Xiao is often cited by papers focused on Advanced Image and Video Retrieval Techniques (10 papers), Advanced Neural Network Applications (8 papers) and Multimodal Machine Learning Applications (7 papers). Fanyi Xiao collaborates with scholars based in United States, China and Hong Kong. Fanyi Xiao's co-authors include Yong Jae Lee, Daniel Bolya, Chong Zhou, Yong Jae Lee, Leonid Sigal, Ming-Yu Liu, Xiaodong Yang, Xitong Yang, Jan Kautz and Larry S. Davis and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Internet of Things Journal.

In The Last Decade

Fanyi Xiao

22 papers receiving 917 citations

Hit Papers

YOLACT++ Better Real-Time Instance Segmentation 2020 2026 2022 2024 2020 2024 100 200 300
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. YOLACT++ Better Real-Time Instance Segmentation
    2020 369 citations Daniel Bolya, Chong Zhou et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  2. EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
    2024 74 citations Yunyang Xiong, Lemeng Wu 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
Fanyi Xiao United States 12 678 262 89 68 61 23 942
Mamoona Naveed Asghar Ireland 17 723 1.1× 239 0.9× 76 0.9× 80 1.2× 85 1.4× 64 1.2k
Xiongwei Wu China 12 646 1.0× 291 1.1× 141 1.6× 126 1.9× 88 1.4× 23 1.3k
Asra Aslam Ireland 6 489 0.7× 154 0.6× 72 0.8× 77 1.1× 87 1.4× 16 836
Kang Tong China 9 349 0.5× 206 0.8× 110 1.2× 73 1.1× 71 1.2× 20 876
Diganta Misra India 4 552 0.8× 187 0.7× 99 1.1× 128 1.9× 86 1.4× 8 958
Yingtian Zou Singapore 3 616 0.9× 390 1.5× 67 0.8× 103 1.5× 72 1.2× 4 881
Guanglu Song China 9 775 1.1× 246 0.9× 142 1.6× 118 1.7× 85 1.4× 22 1.1k
Zhanghan Ke Hong Kong 6 542 0.8× 206 0.8× 86 1.0× 140 2.1× 89 1.5× 10 858
Gang Zhang China 15 383 0.6× 208 0.8× 72 0.8× 64 0.9× 30 0.5× 53 661
Thangarajah Akilan Canada 17 437 0.6× 207 0.8× 73 0.8× 60 0.9× 53 0.9× 52 831

Countries citing papers authored by Fanyi Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Fanyi Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fanyi Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Fanyi Xiao. A scholar is included among the top collaborators of Fanyi Xiao 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 Fanyi Xiao. Fanyi Xiao 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.
Zhou, Chong, Chenchen Zhu, Yunyang Xiong, et al.. (2025). EdgeTAM: On-Device Track Anything Model. 13832–13842.
2.
Xiong, Yunyang, Lemeng Wu, Xiaoyu Xiang, et al.. (2024). EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything. 16111–16121. 74 indexed citations breakdown →
3.
Sun, Peize, Chenchen Zhu, Fanyi Xiao, et al.. (2023). Going Denser with Open-Vocabulary Part Segmentation. 15407–15419. 19 indexed citations
4.
Chen, Jun, Deyao Zhu, Guocheng Qian, et al.. (2023). Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only. 699–710. 10 indexed citations
5.
Zhu, Chenchen, Fanyi Xiao, Andrés Alvarado, et al.. (2023). EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understanding. 20053–20063. 7 indexed citations
6.
Xiao, Fanyi, Kaustav Kundu, Joseph Tighe, & Davide Modolo. (2022). Hierarchical Self-supervised Representation Learning for Movie Understanding. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 14 indexed citations
7.
Xiao, Fanyi, et al.. (2022). SCVRL: Shuffled Contrastive Video Representation Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 4131–4140. 9 indexed citations
8.
Pei, Ling, Songpengcheng Xia, Lei Chu, et al.. (2021). MARS: Mixed Virtual and Real Wearable Sensors for Human Activity Recognition With Multidomain Deep Learning Model. IEEE Internet of Things Journal. 8(11). 9383–9396. 37 indexed citations
9.
Liu, Haotian, et al.. (2021). YolactEdge: Real-time Instance Segmentation on the Edge. 50 indexed citations
10.
Liu, Haotian, et al.. (2020). YolactEdge: Real-time Instance Segmentation on the Edge (Jetson AGX Xavier: 30 FPS, RTX 2080 Ti: 170 FPS). arXiv (Cornell University). 5 indexed citations
11.
Xiao, Fanyi, et al.. (2020). Delving Deeper into Anti-aliasing in ConvNets. 2 indexed citations
12.
Bolya, Daniel, Chong Zhou, Fanyi Xiao, & Yong Jae Lee. (2020). YOLACT++ Better Real-Time Instance Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(2). 1108–1121. 369 indexed citations breakdown →
13.
Yang, Xitong, Xiaodong Yang, Ming-Yu Liu, et al.. (2019). STEP: Spatio-Temporal Progressive Learning for Video Action Detection. 264–272. 99 indexed citations
14.
15.
Hu, Wenjian, Krishna Kumar Singh, Fanyi Xiao, et al.. (2018). Who Will Share My Image?. 252–260. 14 indexed citations
16.
Xiao, Fanyi, Leonid Sigal, & Yong Jae Lee. (2017). Weakly-Supervised Visual Grounding of Phrases with Linguistic Structures. 5253–5262. 76 indexed citations
17.
Xiao, Fanyi & Yong Jae Lee. (2017). Spatial-Temporal Memory Networks for Video Object Detection. 3 indexed citations
18.
Xiao, Fanyi & Martial Hebert. (2015). Efficient Model Evaluation with Bilinear Separation Model. 4. 789–796. 1 indexed citations
19.
Yu, Zhiding, Chunjing Xu, Deyu Meng, et al.. (2014). Transitive Distance Clustering with K-Means Duality. 987–994. 6 indexed citations
20.
Xiao, Fanyi, Yixiong Liang, & Xiaohui Qu. (2011). Learning Local Binary Patterns with Enhanced Boosting for Face Recognition. 1154–1158. 3 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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