Haroon Idrees

3.5k citations
12 papers · 1.4k indexed · 2 hit papers · h-index 10

Haroon Idrees

12 papers receiving 1.4k citations

Hit Papers

The THUMOS challenge on action recognition for videos “in...3252013202620172021200400600

Peers

Haroon Idrees
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 1.3k
  • Artificial Intelligence 899
  • Safety, Risk, Reliability and Quality 186
  • Transportation 98
  • Media Technology 58
Replace Mikel Rodríguez with:
Mikel Rodríguez United States
Huiyuan Fu China
Tao Zhao China
Tao Zhao United States
Dehui Kong China
Zheng Ma China
Zijia Lin China
Zhilan Hu China
Stefano Messelodi Italy
De Cheng China
Haroon Idrees relative to Mikel Rodríguez United States Mikel Rodríguez's profile →
Citations per field
00.5×3.6×
Mikel Rodríguez · 1×
Citations per year

Countries citing papers authored by Haroon Idrees

Since Specialization
Citations

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

Fields of papers citing papers by Haroon Idrees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 201945
2 201826
3
Informedia @ TRECVID 2018: Ad-hoc Video Search, Video to Text Description, Activities in Extended video.
20182
4 201818
5 201642
6
The THUMOS challenge on action recognition for videos “in the wild”breakdown →
2016325
7 201582
8 201532
9 20144
10 2014115
11 201325
12
Multi-source Multi-scale Counting in Extremely Dense Crowd Imagesbreakdown →
2013690

About Haroon Idrees

Haroon Idrees is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Ocean Engineering and Biomedical Engineering, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (8 papers), Anomaly Detection Techniques and Applications (7 papers), Video Surveillance and Tracking Methods (6 papers), Advanced Image and Video Retrieval Techniques (3 papers), Multimodal Machine Learning Applications (3 papers), Video Analysis and Summarization (2 papers), Gait Recognition and Analysis (2 papers) and Image Retrieval and Classification Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Artificial Intelligence (899 citations), Safety, Risk, Reliability and Quality (186 citations), Transportation (98 citations) and Media Technology (58 citations). Haroon Idrees has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Mubarak Shah, Imran Saleemi, Khurram Soomro, Yu–Gang Jiang, Ivan Laptev, Amir Zamir, Rahul Sukthankar, Mahdi M. Kalayeh, Yaser Sheikh and Hanbyul Joo. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Vision and Image Understanding, Image and Vision Computing, Policing An International Journal and TRECVID.

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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