Peiyun Hu

1.5k total citations · 1 hit paper
14 papers, 864 citations indexed

About

Peiyun Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Geology. According to data from OpenAlex, Peiyun Hu has authored 14 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 4 papers in Geology. Recurrent topics in Peiyun Hu's work include 3D Surveying and Cultural Heritage (4 papers), Autonomous Vehicle Technology and Safety (3 papers) and Remote Sensing and LiDAR Applications (3 papers). Peiyun Hu is often cited by papers focused on 3D Surveying and Cultural Heritage (4 papers), Autonomous Vehicle Technology and Safety (3 papers) and Remote Sensing and LiDAR Applications (3 papers). Peiyun Hu collaborates with scholars based in United States, China and Macao. Peiyun Hu's co-authors include Deva Ramanan, David Held, Jason Ziglar, Lianhong Cai, Jia Jia, Jie Tang, Sen Wu, Xiaohui Wang, John M. Dolan and Jonathan Chang and has published in prestigious journals such as International Journal of Computer Vision, IEEE Robotics and Automation Letters and Journal of Field Robotics.

In The Last Decade

Peiyun Hu

13 papers receiving 837 citations

Hit Papers

Finding Tiny Faces 2017 2026 2020 2023 2017 100 200 300 400
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. Finding Tiny Faces
    2017 471 citations Peiyun Hu, Deva Ramanan profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peiyun Hu United States 10 699 215 115 84 72 14 864
Michael D. Breitenstein Switzerland 9 1.1k 1.5× 430 2.0× 181 1.6× 85 1.0× 75 1.0× 11 1.2k
Danda Pani Paudel Switzerland 16 742 1.1× 190 0.9× 289 2.5× 35 0.4× 34 0.5× 62 917
Holger Caesar Netherlands 7 772 1.1× 324 1.5× 106 0.9× 33 0.4× 31 0.4× 19 948
Anbang Yao China 15 1.2k 1.7× 288 1.3× 234 2.0× 69 0.8× 33 0.5× 29 1.5k
Qieshi Zhang China 14 423 0.6× 156 0.7× 83 0.7× 41 0.5× 43 0.6× 91 685
Shenqi Lai China 11 1.6k 2.3× 333 1.5× 114 1.0× 59 0.7× 64 0.9× 27 1.9k
Songzhi Su China 14 548 0.8× 265 1.2× 142 1.2× 60 0.7× 22 0.3× 73 873
Afshin Dehghan United States 8 1.5k 2.2× 232 1.1× 302 2.6× 57 0.7× 43 0.6× 18 1.6k
Xingyu Zeng Hong Kong 14 1.1k 1.6× 287 1.3× 247 2.1× 45 0.5× 117 1.6× 18 1.3k
Yanyu Xu China 11 602 0.9× 101 0.5× 49 0.4× 70 0.8× 130 1.8× 21 775

Countries citing papers authored by Peiyun Hu

Since Specialization
Citations

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

Fields of papers citing papers by Peiyun Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiyun Hu

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

All Works

14 of 14 papers shown
1.
Hu, Peiyun, et al.. (2024). Lidar Panoptic Segmentation in an Open World. International Journal of Computer Vision. 133(3). 1153–1174.
2.
Hu, Peiyun, et al.. (2023). Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting. 1116–1124. 22 indexed citations
3.
Hu, Peiyun, et al.. (2021). Safe Local Motion Planning with Self-Supervised Freespace Forecasting. 12727–12736. 50 indexed citations
4.
Hu, Peiyun, Jason Ziglar, David Held, & Deva Ramanan. (2020). What You See is What You Get: Exploiting Visibility for 3D Object Detection. 10998–11006. 85 indexed citations
5.
Hu, Peiyun, David Held, & Deva Ramanan. (2020). Learning to Optimally Segment Point Clouds. IEEE Robotics and Automation Letters. 5(2). 875–882. 16 indexed citations
6.
Yang, Gengshan, Peiyun Hu, & Deva Ramanan. (2019). Inferring Distributions Over Depth from a Single Image. 6090–6096. 9 indexed citations
7.
Hu, Peiyun, et al.. (2019). Recognizing Tiny Faces. 1121–1130. 2 indexed citations
8.
Hu, Peiyun, Zachary C. Lipton, Anima Anandkumar, & Deva Ramanan. (2018). Active Learning with Partial Feedback. CaltechAUTHORS (California Institute of Technology). 6 indexed citations
9.
Hu, Peiyun, et al.. (2018). Camera-Based Semantic Enhanced Vehicle Segmentation for Planar LIDAR. abs 1803 10862. 3805–3810. 10 indexed citations
10.
Hu, Peiyun & Deva Ramanan. (2017). Finding Tiny Faces. 1522–1530. 471 indexed citations breakdown →
11.
Pezzementi, Zachary, Peiyun Hu, Jonathan Chang, et al.. (2017). Comparing apples and oranges: Off‐road pedestrian detection on the National Robotics Engineering Center agricultural person‐detection dataset. Journal of Field Robotics. 35(4). 545–563. 26 indexed citations
12.
Hu, Peiyun & Deva Ramanan. (2016). Bottom-Up and Top-Down Reasoning with Hierarchical Rectified Gaussians. 5600–5609. 62 indexed citations
13.
Jia, Jia, et al.. (2012). Understanding the emotional impact of images. 1369–1370. 12 indexed citations
14.
Jia, Jia, Sen Wu, Xiaohui Wang, et al.. (2012). Can we understand van gogh's mood?. 857–860. 93 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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