2026 Oncel Tuzel: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	46	6640	6448	2933	2824	140	21832

Overview

Oncel Tuzel is a researcher affiliated with Apple in the United States, specializing in computer science with a significant focus on computer vision and related areas. Their academic contributions span several subfields, including computer vision and pattern recognition, artificial intelligence, signal processing, industrial and manufacturing engineering, and computational mechanics.

Tuzel's work is primarily concentrated in the following topics:

Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Music and Audio Processing
Multimodal Machine Learning Applications
Speech Recognition and Synthesis
Advanced Image and Video Retrieval Techniques
Natural Language Processing Techniques

Their frequent co-authors include Hadi Pouransari, Jen-Hao Rick Chang, Fartash Faghri, Raviteja Vemulapalli, and Pavan Kumar Anasosalu Vasu, indicating collaborative work predominantly within computer vision and machine learning research communities.

Tuzel has published extensively, with 130 publications mainly appearing in:

arXiv (Cornell University) - 51 publications
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - 2 publications
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) - 1 publication
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) - 1 publication
2021 29th European Signal Processing Conference (EUSIPCO) - 1 publication

Some recent papers that feature the breadth of their research work include:

"Subject-Aware Contrastive Learning for Biosignals," 2020, arXiv (Cornell University)
"FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization," 2023, arXiv (Cornell University)
"GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models," 2024, arXiv (Cornell University)
"Token Pooling in Vision Transformers for Image Classification," 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
"SYNT++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition," 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Best Publications

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

Yin Zhou;Oncel Tuzel

4509
Citations
Region Covariance : A Fast Descriptor for Detection and Classification

Oncel Tuzel;Fatih Porikli;Peter Meer

3307
Citations
Learning from Simulated and Unsupervised Images through Adversarial Training

Ashish Shrivastava;Tomas Pfister;Oncel Tuzel;Joshua Susskind

2028
Citations
Coupled Generative Adversarial Networks

Ming-Yu Liu;Oncel Tuzel

1566
Citations
Pedestrian Detection via Classification on Riemannian Manifolds

O. Tuzel;F. Porikli;P. Meer

1267
Citations
Entropy rate superpixel segmentation

Ming-Yu Liu;Oncel Tuzel;Srikumar Ramalingam;Rama Chellappa

1189
Citations
Covariance Tracking using Model Update Based on Lie Algebra

F. Porikli;O. Tuzel;P. Meer

756
Citations
Human Detection via Classification on Riemannian Manifolds

O. Tuzel;F. Porikli;P. Meer

676
Citations
A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection

Bharat Singh;Tim K. Marks;Michael Jones;Oncel Tuzel

556
Citations
R-CNN for Small Object Detection

Chenyi Chen;Ming-Yu Liu;Oncel Tuzel;Jianxiong Xiao

390
Citations
MVX-Net: Multimodal VoxelNet for 3D Object Detection

Vishwanath A. Sindagi;Yin Zhou;Oncel Tuzel

385
Citations
MobileOne: An Improved One millisecond Mobile Backbone

Unknown

294
Citations
Joint Geodesic Upsampling of Depth Images

Ming-Yu Liu;Oncel Tuzel;Yuichi Taguchi

273
Citations
Fast directional chamfer matching

Ming-Yu Liu;Oncel Tuzel;Ashok Veeraraghavan;Rama Chellappa

272
Citations
Fast object localization and pose estimation in heavy clutter for robotic bin picking

Ming-Yu Liu;Ming-Yu Liu;Oncel Tuzel;Ashok Veeraraghavan;Ashok Veeraraghavan;Yuichi Taguchi

222
Citations
Voting-based pose estimation for robotic assembly using a 3D sensor

Changhyun Choi;Yuichi Taguchi;Oncel Tuzel;Ming-Yu Liu

209
Citations
Human Body Tracking by Adaptive Background Models and Mean-Shift Analysis

Fatih Porikli;Oncel Tuzel

191
Citations
Semi-Supervised Kernel Mean Shift Clustering

Saket Anand;Sushil Mittal;Oncel Tuzel;Peter Meer

185
Citations
Gaussian Conditional Random Field Network for Semantic Segmentation

Raviteja Vemulapalli;Oncel Tuzel;Ming-Yu Liu;Rama Chellappa

180
Citations
Entropy-Rate Clustering: Cluster Analysis via Maximizing a Submodular Function Subject to a Matroid Constraint

Ming-Yu Liu;Oncel Tuzel;Srikumar Ramalingam;Rama Chellappa

138
Citations
Deep hierarchical parsing for semantic segmentation

Abhishek Sharma;Oncel Tuzel;David W. Jacobs

135
Citations

Frequent Co-Authors

Ming-Yu Liu Nvidia (United States)

Fatih Porikli Australian National University

Srikumar Ramalingam Google

Peter Meer Rutgers, The State University of New Jersey

Ashok Veeraraghavan Rice University

Rama Chellappa Johns Hopkins University

Aswin C. Sankaranarayanan Carnegie Mellon University

Michael Jones Mitsubishi Electric (United States)

Lin Yang University of Florida

David W. Jacobs University of Maryland, College Park

External Links

Google Scholar page

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