Ping Tan

14.1k total citations · 4 hit papers
138 papers, 6.8k citations indexed

About

Ping Tan is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Ping Tan has authored 138 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Computer Vision and Pattern Recognition, 31 papers in Aerospace Engineering and 27 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Ping Tan's work include Advanced Vision and Imaging (87 papers), Robotics and Sensor-Based Localization (29 papers) and Advanced Image and Video Retrieval Techniques (28 papers). Ping Tan is often cited by papers focused on Advanced Vision and Imaging (87 papers), Robotics and Sensor-Based Localization (29 papers) and Advanced Image and Video Retrieval Techniques (28 papers). Ping Tan collaborates with scholars based in China, Canada and Singapore. Ping Tan's co-authors include Siyu Zhu, Danping Zou, Long Quan, Lu Yuan, Zhaopeng Cui, Zuozhuo Dai, Shuaicheng Liu, Xiaodong Gu, Boxin Shi and Ariel Shamir and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Food Chemistry and IEEE Transactions on Image Processing.

In The Last Decade

Ping Tan

135 papers receiving 6.6k 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.

Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching

2020 505 citations Xiaodong Gu, Siyu Zhu et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →
Sketch2Photo

2009 411 citations Ping Tan et al. profile →
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution

2021 204 citations Lizhe Liu, Siyu Zhu et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →
Neural Window Fully-connected CRFs for Monocular Depth Estimation

2022 173 citations Siyu Zhu, Ping Tan et al. profile →

Peers

Countries citing papers authored by Ping Tan

Since Specialization

Citations

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

Fields of papers citing papers by Ping Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Tan

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

#	Work	Indexed citations
1	AM-Align: Globally Optimal Estimation of Accelerometer–Magnetometer Misalignment 2025 ·IEEE Transactions on Instrumentation and Measurement ·(unknown), Jin Wu, (unknown), Yilong Zhu, (unknown), Yuhua Qi, Yi Jiang, Ping Tan, Wei Zhang	0
2	MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework 2025 ·IEEE Robotics and Automation Letters ·(unknown), Jin Wu, (unknown), (unknown), Yi Jiang, (unknown), Wei Zhang, (unknown), Ping Tan	2
3	A Unified Self-Supervised Learning Framework for Hyperspectral Image Classification 2025 ·IEEE Access ·Guoyun Zhang, Ping Tan, (unknown), (unknown), Lin Zhao	2
4	Minimum Latency Deep Online Video Stabilization and Its Extensions 2024 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Shuaicheng Liu, (unknown), (unknown), Ping Tan, Bing Zeng	1
5	Taming Diffusion Probabilistic Models for Character Control 2024 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·(unknown), Mingyi Shi, Shaoli Huang, Ping Tan, Taku Komura, Xuelin Chen	4
6	Deep learning assisted logic gates for real-time identification of natural tetracycline antibiotics 2024 ·Food Chemistry ·Ping Tan, Yuhui Chen, (unknown), Tao Liu, Jian Wang, Zhiwei Lu, Mengmeng Sun, Gehong Su, Yanying Wang, Huimin Wang, Chung‐Hang Leung, Hanbing Rao, Wu Chun	10
7	DVI-SLAM: A Dual Visual Inertial SLAM Network 2024 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·(unknown), Zhihua Liu, Weiming Li, Ping Tan, (unknown), Qiang Wang	7
8	Multi-Scale and Multi-Modal Contrastive Learning for Hyperspectral and LiDAR Classification 2024 ·Ping Tan, Jia Li, Guoyun Zhang, Lin Zhao	0
9	A Train Identification Method Based on Sparse Point Clouds Scan Dataset 2023 ·(unknown), (unknown), Zhao‐Qing Liu, Ping Tan	1
10	Image Matting With Deep Gaussian Process 2022 ·IEEE Transactions on Neural Networks and Learning Systems ·Yuanjie Zheng, (unknown), Tongtong Che, Sujuan Hou, Wenhui Huang, Yue Gao, Ping Tan	13
11	Efficient Virtual View Selection for 3D Hand Pose Estimation 2022 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Jian Cheng, (unknown), (unknown), Cuixia Ma, (unknown), Ping Tan, Hongan Wang, (unknown), (unknown)	21
12	OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation 2021 ·IEEE Robotics and Automation Letters ·(unknown), Wei Liu, Yuzhe Qin, Fanbo Xiang, Minghao Gou, (unknown), Máximo A. Roa, Berk Çallı, Hao Su, Yu Sun, Ping Tan	33
13	CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution breakdown → 2021 ·2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Lizhe Liu, (unknown), Siyu Zhu, Ping Tan	204
14	Batch DropBlock Network for Person Re-Identification and Beyond 2019 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Zuozhuo Dai, Mingqiang Chen, Xiaodong Gu, Siyu Zhu, Ping Tan	172
15	BA-Net: Dense Bundle Adjustment Networks 2018 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Chengzhou Tang, Ping Tan	69
16	GlobalSLAM: Initialization-robust Monocular Visual SLAM. 2017 ·arXiv (Cornell University) ·Chengzhou Tang, (unknown), Ping Tan	3
17	Model-driven sketch reconstruction with structure-oriented retrieval 2016 ·CityU Scholars ·Lei Li, Zhe Huang, Changqing Zou, Chiew‐Lan Tai, Rynson W. H. Lau, Hao Zhang, Ping Tan, Hongbo Fu	8
18	A Closed-Form Solution to Retinex with Nonlocal Texture Constraints 2012 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Qi Zhao, Ping Tan, Qiang Dai, Shen Li, Enhua Wu, Stephen Lin	127
19	Resolution-Enhanced Photometric Stereo 2006 ·Lecture notes in computer science ·Ping Tan, Stephen Lin, Long Quan	9
20	Multiresolution reflectance filtering 2005 ·Ping Tan, Stephen Lin, Long Quan, Baining Guo, Heung‐Yeung Shum	19

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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