Gedas Bertasius

4.0k citations
35 papers · 1.0k · 1 hit paper · h-index 14

Impact in

    • Advanced Neural Network Applications
    • Advanced Image and Video Retrieval Techniques
    • Multimodal Machine Learning Applications
    • Medical Image Segmentation Techniques
    • Human Pose and Action Recognition
    • Video Analysis and Summarization
    • Visual Attention and Saliency Detection

Papers in

    • Human Pose and Action Recognition 16
    • Multimodal Machine Learning Applications 14
    • Video Analysis and Summarization 11
    • Advanced Image and Video Retrieval Techniques 8
    • Visual Attention and Saliency Detection 5
    • Advanced Neural Network Applications 5
    • Anomaly Detection Techniques and Applications 5
    • Domain Adaptation and Few-Shot Learning 5
Journals
Information Retrieval (1 paper)Proceedings of the 30th ACM International Conference on Multimedia (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2 papers)arXiv (Cornell University) (2 papers)PubMed (1 paper)

In The Last Decade

Gedas Bertasius

31 papers receiving 999 citations

Gedas Bertasius's Hit Papers

DeepEdge: A multi-scale bifurcated deep network for top-down contour detection 2015 · 341 citations
3410+3+7Years since publication100200300

Peers

Gedas Bertasius
Comparison fields: 5 of 93
  • Computer Vision and Pattern Recognition 823
  • Media Technology 110
  • Artificial Intelligence 261
  • Industrial and Manufacturing Engineering 58
  • Computer Graphics and Computer-Aided Design 19
Replace Zhijiang Zhang with:
Zhijiang Zhang China
Pengfei Xiong China
Yi‐Hsuan Tsai United States
Ambrish Tyagi United States
Danda Pani Paudel Switzerland
Anna Khoreva Germany
Seungryong Kim South Korea
Yifan Liu China
Amit Agrawal United States
Gedas Bertasius relative to Zhijiang Zhang China Zhijiang Zhang's profile →
Citations per field
00.5×3.1×
Zhijiang Zhang · 1×
Citations per year

Countries citing papers authored by Gedas Bertasius

Since Specialization
Citations

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

Fields of papers citing papers by Gedas Bertasius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gedas Bertasius, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gedas Bertasius Line = papers co-authored together Gedas Bertasius links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
DeepEdge: A multi-scale bifurcated deep network for top-down contour detection
Hit paper breakdown →
2015341
2 2015128
3 2016127
4 201761
5 202356
6 202342
7 202129
8 202227
9 202326
10 202224
11 201724
12 202324
13 202321
14 201713
15 201811
16 202410
17 20249
18
Is Space-Time Attention All You Need for Video Understanding?
20218
19 20248
20 20228

About Gedas Bertasius

Gedas Bertasius is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Control and Systems Engineering and Sociology and Political Science, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (16 papers), Multimodal Machine Learning Applications (14 papers), Video Analysis and Summarization (11 papers), Advanced Image and Video Retrieval Techniques (8 papers), Visual Attention and Saliency Detection (5 papers), Anomaly Detection Techniques and Applications (5 papers), Advanced Neural Network Applications (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (823 citations), Media Technology (110 citations), Artificial Intelligence (261 citations), Industrial and Manufacturing Engineering (58 citations) and Computer Graphics and Computer-Aided Design (19 citations). Gedas Bertasius has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Lorenzo Torresani, Jianbo Shi, Jianbo Shi, Stella X. Yu, Hyun Soo Park, Mohit Bansal, Marc Niethammer, Jue Wang, Shih‐Fu Chang and Yan-Bo Lin. Their work appears in journals such as Information Retrieval, Proceedings of the 30th ACM International Conference on Multimedia, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and PubMed.

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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