Zhuowen Tu

40.7k citations
167 papers · 21.0k indexed · 14 hit papers · h-index 54
Topics
Advanced Image and Video Retrieval Techniques (57 papers)Image Retrieval and Classification Techniques (32 papers)Medical Image Segmentation Techniques (29 papers)

In The Last Decade

Zhuowen Tu

163 papers receiving 20.4k citations

Hit Papers

Aggregated Residual Transformations for Deep ...2009202620142020201720142009201720152.0k4.0k6.0k

Peers

Zhuowen Tu
Comparison fields: 5 of 215
  • Computer Vision and Pattern Recognition 14.1k
  • Artificial Intelligence 5.3k
  • Media Technology 2.2k
  • Radiology, Nuclear Medicine and Imaging 2.1k
  • Aerospace Engineering 1.6k
Replace Saining Xie with:
Saining Xie United States
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Zhuowen Tu relative to Saining Xie United States Saining Xie's profile →
Citations per field
00.5×10×13.5×
Saining Xie · 1×
Citations per year

Countries citing papers authored by Zhuowen Tu

Since Specialization
Citations

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

Fields of papers citing papers by Zhuowen Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuowen Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhuowen Tu. A scholar is included among the top collaborators of Zhuowen Tu 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 Zhuowen Tu. Zhuowen Tu 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
#WorkIndexed citations
1 3
2 0
3 18
4 11
5
MeMOT: Multi-Object Tracking with Memorybreakdown →
123
6 28
7
Attentional Constellation Nets for Few-Shot Learning.
22
8
Geometry-Aware End-to-End Skeleton Detection.
5
9
Deeply Supervised Salient Object Detection with Short Connectionsbreakdown →
497
10
Introspective Classifier Learning: Empower Generatively.
1
11
Aggregated Residual Transformations for Deep Neural Networksbreakdown →
7181
12
Introspective Classification with Convolutional Nets
9
13
On the Connection of Deep Fusion to Ensembling.
23
14
Learning to predict from crowdsourced data
31
15
Similarity network fusion for aggregating data types on a genomic scalebreakdown →
1267
16
Max-Margin Multiple-Instance Dictionary Learning
78
17 156
18 312
19
A FRAMEWORK FOR AUTOMATIC RECOGNITION OF SPATIAL FEATURES FROM MOBILE MAPPING IMAGERY
4
20 405

About Zhuowen Tu

Zhuowen Tu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mathematics, having authored 167 papers that have together received 21.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (57 papers), Image Retrieval and Classification Techniques (32 papers) and Medical Image Segmentation Techniques (29 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (14.1k citations), Media Technology (2.2k citations) and Artificial Intelligence (5.3k citations). Zhuowen Tu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Saining Xie, Piotr Dollár, Kaiming He, Ross Girshick, Xiang Bai, Serge Belongie, Bo Wang, Alan Yuille, Wenyu Liu and Song-Chun Zhu. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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