🧑‍🔬 Oncel Tuzel

🏛️ Affiliations

🏢AppleCupertino · United States2017–2026 · 35 paperscurrent🎓Purdue University West LafayetteWest Lafayette · United States2026 · 1 papercurrent🏢Mitsubishi Electric Research LaboratoriesCambridge · United States2005–2017 · 35 papers🎓Rutgers, The State University of New JerseyNew Brunswick · United States2005–2009 · 12 papers🏢Mitsubishi ElectricCypress · United States2005–2016 · 8 papers🏢AppleHerzliya · Israel2019 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models (2024 · 273 citations)
   Scores on GSM8K, the standard grade-school math benchmark, keep rising. The authors ask whether that reflects real reasoning or just familiarity with a fixed and possibly leaked test set. They build GSM-Symbolic by turning GSM8K problems into templates, where names, numbers and family terms become variables with…
2. Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum (2024 · 16 citations)
   Standard LLM pretraining uses concat-and-chunk: documents are shuffled, joined, and cut into fixed-length sequences.

All works

14 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. Learning from Simulated and Unsupervised Images through Adversarial Training ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAshish Shrivastava et al.2017 · 1,857 citations
2. A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetBharat Singh et al.2016 · 461 citations
3. MobileOne: An Improved One millisecond Mobile Backbone ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetPavan Kumar Anasosalu Vasu et al.2023 · 414 citations
4. GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language ModelsarXiv:2410.05229Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, et al.2024 · 273 citations
5. Joint Geodesic Upsampling of Depth Images ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMing-Yu Liu, Oncel Tuzel, Yuichi Taguchi2013 · 245 citations
6. FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization ↗arXiv:2303.14189 · no summary yetPavan Kumar Anasosalu Vasu et al.2023 · 198 citations
7. Gaussian Conditional Random Field Network for Semantic Segmentation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetRaviteja Vemulapalli et al.2016 · 152 citations
8. Deep hierarchical parsing for semantic segmentation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAbhishek Sharma, Oncel Tuzel, David W. Jacobs2015 · 98 citations
9. Dataset Decomposition: Faster LLM Training with Variable Sequence Length CurriculumConference on Neural Information Processing Systems (NeurIPS)Hadi Pouransari, Chun-Liang Li, Jen-Hao Rick Chang, et al.2024 · 16 citations
10. TrajTok: Learning Trajectory Tokens enables better Video Understanding ↗arXiv (Cornell University) · no summary yetChenhao Zheng et al.2026 · 2 citations
11. Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions ↗arXiv (Cornell University) · no summary yetYu-Guan Hsieh et al.2024 · 1 citation
12. Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pre-training ↗Findings of the Association for Computational Linguistics: EACL 2026 · no summary yetJeffrey Li et al.2026
13. Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pretraining ↗arXiv (Cornell University) · no summary yetJeffrey Li et al.2026
14. FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations ↗arXiv (Cornell University) · no summary yetCheng-Yu Hsieh et al.2025

🤝 Co-authors here

6 co-authors with a page, the most papers together first.

• Chun-Liang Li
• Iman Mirzadeh
• Keivan Alizadeh
• Mehrdad Farajtabar
• Samy Bengio
• Vaishaal Shankar

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×6
• Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2024
• Findings of the Association for Computational Linguistics: EACL 2026

🔗 Cited by

Papers of our library cite their works 332 times (of the 149,439 papers whose bibliographies we read); 40 citing papers with a page here →.

Updated 30 October 2026

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/oncel-tuzel/