National University of Science and Technology MISiS
Oncel TuzelDistinguished Engineer · AppleResearcher↗
Researcher · Engineer
Alexey Bochkovskiy
AppleMachine Learning Engineer
Bochkovskiy co-developed YOLOv4 and YOLOv7, systems that identify and locate objects fast enough to process live video.[1][2] His work combines accurate detection with practical training and efficient computation, helping bring advanced computer vision to applications that must respond in real time.
Career & education
Current roleApple2022-presentMachine Learning Engineer
Apple2022-presentPreviously
Intel2020-2022ML Research Engineer
Academia Sinica2019-2022
Intel2020-2022Academia Sinica2019-2022Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations56,698As of Oct 27, '26
citations+3,250Since last snapshot, Aug 8, '26
References
- YOLOv4: Optimal Speed and Accuracy of Object Detectionarxiv.org
Bochkovskiy co-developed YOLOv4 and YOLOv7, systems that identify and locate objects fast enough to process live video.
- YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectorsarxiv.org
Bochkovskiy co-developed YOLOv4 and YOLOv7, systems that identify and locate objects fast enough to process live video.
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Reviewed August 24, 2026 · Checked for accuracy and new information.
