Gül Varol

5.8k citations
25 papers · 1.6k indexed · 3 hit papers · h-index 13

Impact in

Papers in

Gül Varol

24 papers receiving 1.6k citations

Hit Papers

Frozen in time: A joint video and image encoder for end-to-end retrieval 2022 · 425 citations
4252017202620202023200400600

Peers

Gül Varol
Comparison fields: 5 of 91
  • Computer Vision and Pattern Recognition 1.4k
  • Human-Computer Interaction 214
  • Artificial Intelligence 619
  • Control and Systems Engineering 314
  • Computational Mathematics 7
Replace Rizwan Chaudhry with:
Rizwan Chaudhry United States
Yansong Tang China
Alexander Kläser China
Xi Peng United States
Yonghong Hou China
Christian Schüldt Sweden
Chia-Chih Chen United States
Hilde Kuehne Germany
Qiuhong Ke Australia
Jianqin Yin China
Gül Varol relative to Rizwan Chaudhry United States Rizwan Chaudhry's profile →
Citations per field
00.5×11.6×
Rizwan Chaudhry · 1×
Citations per year

Countries citing papers authored by Gül Varol

Since Specialization
Citations

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

Fields of papers citing papers by Gül Varol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Gül Varol, 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 Gül Varol Line = papers co-authored together Gül Varol links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 202418
4 20243
5 20248
6 20248
7 20242
8 20244
9 202314
10 20228
11
Frozen in time: A joint video and image encoder for end-to-end retrieval
Hit paper breakdown →
2022425
12 202252
13
Sign language segmentation with temporal convolutional networks
202113
14 20211
15 202132
16
Action-Conditioned 3D Human Motion Synthesis with Transformer VAE
Hit paper breakdown →
2021259
17 202112
18
Long-Term Temporal Convolutions for Action Recognition
Hit paper breakdown →
2017659
19 20148
20 20142

About Gül Varol

Gül Varol is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Developmental and Educational Psychology, Control and Systems Engineering and Language and Linguistics, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (17 papers), Multimodal Machine Learning Applications (10 papers), Hand Gesture Recognition Systems (8 papers), Human Motion and Animation (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Hearing Impairment and Communication (5 papers), Video Analysis and Summarization (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Human-Computer Interaction (214 citations), Artificial Intelligence (619 citations), Control and Systems Engineering (314 citations) and Computational Mathematics (7 citations). Gül Varol has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Cordelia Schmid, Ivan Laptev, Arsha Nagrani, Mathis Petrovich, Michael J. Black, Michael J. Black, Albert Ali Salah, Yana Hasson, Samuel Albanie and Andrew Zisserman. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications, View and Oxford University Research Archive (ORA) (University of Oxford).

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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