Oncel Tuzel
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
69
Venues
18
Active years
2005–2026
Best venue rank
A*
Where they publish
Papers
69 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pre-training. | Jeffrey Li, Joshua P. Gardner, Doug Kang, Fangping Shi, Karanjeet Singh, Chun-Liang Li, Herumb Shandilya, David Leo Wright Hall, Oncel Tuzel, Percy Liang, Ludwig Schmidt, Hadi Pouransari, Fartash Faghri |
| 2025 | ACL | TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining. | Jeffrey Li, Mohammadreza Armandpour, Iman Mirzadeh, Sachin Mehta, Vaishaal Shankar, Raviteja Vemulapalli, Samy Bengio, Oncel Tuzel, Mehrdad Farajtabar, Hadi Pouransari, Fartash Faghri |
| 2025 | CVPR | FastVLM: Efficient Vision Encoding for Vision Language Models. | Pavan Kumar Anasosalu Vasu, Fartash Faghri, Chun-Liang Li, Cem Koc, Nate True, Albert Antony, Gokula Santhanam, James Gabriel, Peter Grasch, Oncel Tuzel, Hadi Pouransari |
| 2025 | ICLR | GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models. | Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, Oncel Tuzel, Samy Bengio, Mehrdad Farajtabar |
| 2025 | ICML | Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting. | Chen Huang, Skyler Seto, Hadi Pouransari, Mehrdad Farajtabar, Raviteja Vemulapalli, Fartash Faghri, Oncel Tuzel, Barry-John Theobald, Joshua M. Susskind |
| 2025 | NAACL | Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization. | Yen-Ju Lu, Ting-Yao Hu, Hema Swetha Koppula, Hadi Pouransari, Jen-Hao Rick Chang, Yin Xia, Xiang Kong, Qi Zhu, Simon Wang, Oncel Tuzel, Raviteja Vemulapalli |
| 2024 | CVPR | HUGS: Human Gaussian Splats. | Muhammed Kocabas, Jen-Hao Rick Chang, James Gabriel, Oncel Tuzel, Anurag Ranjan |
| 2024 | CVPR | MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training. | Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Raviteja Vemulapalli, Oncel Tuzel |
| 2024 | CVPR | SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding. | Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari |
| 2024 | CVPR | Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks, Methods, and Applications. | Karren D. Yang, Anurag Ranjan, Jen-Hao Rick Chang, Raviteja Vemulapalli, Oncel Tuzel |
| 2024 | EMNLP | MUSCLE: A Model Update Strategy for Compatible LLM Evolution. | Jessica Maria Echterhoff, Fartash Faghri, Raviteja Vemulapalli, Ting-Yao Hu, Chun-Liang Li, Oncel Tuzel, Hadi Pouransari |
| 2024 | ICASSP | Corpus Synthesis for Zero-Shot ASR Domain Adaptation Using Large Language Models. | Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Raviteja Vemulapalli, Jen-Hao Rick Chang, Karren D. Yang, Gautam Varma Mantena, Oncel Tuzel |
| 2024 | ICLR | TiC-CLIP: Continual Training of CLIP Models. | Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri |
| 2024 | ICLR | ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models. | Iman Mirzadeh, Keivan Alizadeh-Vahid, Sachin Mehta, Carlo C. del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar |
| 2024 | ICML | Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models. | Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta, Mehrdad Farajtabar, Mohammad Rastegari, Oncel Tuzel |
| 2024 | Interspeech | Novel-view Acoustic Synthesis From 3D Reconstructed Rooms. | Byeongjoo Ahn, Karren D. Yang, Brian Hamilton, Jonathan Sheaffer, Anurag Ranjan, Miguel Sarabia, Oncel Tuzel, Jen-Hao Rick Chang |
| 2023 | CVPR | Pointersect: Neural Rendering with Cloud-Ray Intersection. | Jen-Hao Rick Chang, Wei-Yu Chen, Anurag Ranjan, Kwang Moo Yi, Oncel Tuzel |
| 2023 | CVPR | FaceLit: Neural 3D Relightable Faces. | Anurag Ranjan, Kwang Moo Yi, Jen-Hao Rick Chang, Oncel Tuzel |
| 2023 | CVPR | MobileOne: An Improved One millisecond Mobile Backbone. | Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu, Oncel Tuzel, Anurag Ranjan |
| 2023 | ICASSP | I See What You Hear: A Vision-Inspired Method to Localize Words. | Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Aman Chadha, Ashish Srivastava, Minsik Cho, Oncel Tuzel, Devang Naik |
| 2023 | ICASSP | Text is all You Need: Personalizing ASR Models Using Controllable Speech Synthesis. | Karren D. Yang, Ting-Yao Hu, Jen-Hao Rick Chang, Hema Swetha Koppula, Oncel Tuzel |
| 2023 | ICCV | Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement. | Fartash Faghri, Hadi Pouransari, Sachin Mehta, Mehrdad Farajtabar, Ali Farhadi, Mohammad Rastegari, Oncel Tuzel |
| 2023 | ICCV | FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization. | Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu, Oncel Tuzel, Anurag Ranjan |
| 2023 | ICLR | FastFill: Efficient Compatible Model Update. | Florian Jaeckle, Fartash Faghri, Ali Farhadi, Oncel Tuzel, Hadi Pouransari |
| 2023 | WACV | Token Pooling in Vision Transformers for Image Classification. | Dmitrii Marin, Jen-Hao Rick Chang, Anurag Ranjan, Anish Prabhu, Mohammad Rastegari, Oncel Tuzel |
| 2022 | CVPR | Forward Compatible Training for Large-Scale Embedding Retrieval Systems. | Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari |
| 2022 | ECCV | NeuMan: Neural Human Radiance Field from a Single Video. | Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan |
| 2022 | ICASSP | Data Incubation - Synthesizing Missing Data for Handwriting Recognition. | Jen-Hao Rick Chang, Martin Bresler, Youssouf Chherawala, Adrien Delaye, Thomas Deselaers, Ryan S. Dixon, Oncel Tuzel |
| 2022 | ICASSP | SYNT++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition. | Ting-Yao Hu, Mohammadreza Armandpour, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Oncel Tuzel |
| 2022 | ICML | Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models. | Jen-Hao Rick Chang, Ashish Shrivastava, Hema Koppula, Xiaoshuai Zhang, Oncel Tuzel |
| 2021 | CVPR | Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution. | Hadi Pouransari, Mojan Javaheripi, Vinay Sharma, Oncel Tuzel |
| 2021 | ICASSP | SapAugment: Learning A Sample Adaptive Policy for Data Augmentation. | Ting-Yao Hu, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Stefan Braun, Kyuyeon Hwang, Ozlem Kalinli, Oncel Tuzel |
| 2021 | ICASSP | Optimize What Matters: Training DNN-Hmm Keyword Spotting Model Using End Metric. | Ashish Shrivastava, Arnav Kundu, Chandra Dhir, Devang Naik, Oncel Tuzel |
| 2020 | CVPR | Least squares binary quantization of neural networks. | Hadi Pouransari, Zhucheng Tu, Oncel Tuzel |
| 2020 | ICASSP | Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis. | Ting-Yao Hu, Ashish Shrivastava, Oncel Tuzel, Chandra Dhir |
| 2019 | CVPR | Learning Conditional Error Model for Simulated Time-Series Data. | Ashish Shrivastava, Oncel Tuzel |
| 2019 | ICRA | MVX-Net: Multimodal VoxelNet for 3D Object Detection. | Vishwanath A. Sindagi, Yin Zhou, Oncel Tuzel |
| 2018 | CVPR | VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection. | Yin Zhou, Oncel Tuzel |
| 2017 | CVPR | Learning from Simulated and Unsupervised Images through Adversarial Training. | Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Joshua Susskind, Wenda Wang, Russell Webb |
| 2016 | ACCV | R-CNN for Small Object Detection. | Chenyi Chen, Ming-Yu Liu, Oncel Tuzel, Jianxiong Xiao |
| 2016 | CVPR | A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection. | Bharat Singh, Tim K. Marks, Michael J. Jones, Oncel Tuzel, Ming Shao |
| 2016 | CVPR | Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising. | Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu |
| 2016 | CVPR | Gaussian Conditional Random Field Network for Semantic Segmentation. | Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu, Rama Chellappa |
| 2016 | ECCV | Robust Face Alignment Using a Mixture of Invariant Experts. | Oncel Tuzel, Tim K. Marks, Salil Tambe |
| 2016 | WACV | Unsupervised network pretraining via encoding human design. | Ming-Yu Liu, Arun Mallya, Oncel Tuzel, Xi Chen |
| 2015 | CVPR | Deep hierarchical parsing for semantic segmentation. | Abhishek Sharma, Oncel Tuzel, David W. Jacobs |
| 2014 | ECCV | Learning to Rank 3D Features. | Oncel Tuzel, Ming-Yu Liu, Yuichi Taguchi, Arvind Raghunathan |
| 2014 | WACV | Detecting 3D geometric boundaries of indoor scenes under varying lighting. | Jie Ni, Tim K. Marks, Oncel Tuzel, Fatih Porikli |
| 2013 | CVPR | Joint Geodesic Upsampling of Depth Images. | Ming-Yu Liu, Oncel Tuzel, Yuichi Taguchi |
| 2012 | ECCV | Motion-Aware Structured Light Using Spatio-Temporal Decodable Patterns. | Yuichi Taguchi, Amit K. Agrawal, Oncel Tuzel |
| 2012 | ICCP | Variable focus video: Reconstructing depth and video for dynamic scenes. | Nitesh Shroff, Ashok Veeraraghavan, Yuichi Taguchi, Oncel Tuzel, Amit K. Agrawal, Rama Chellappa |
| 2012 | ICRA | Voting-based pose estimation for robotic assembly using a 3D sensor. | Changhyun Choi, Yuichi Taguchi, Oncel Tuzel, Ming-Yu Liu, Srikumar Ramalingam |
| 2011 | CVPR | Entropy rate superpixel segmentation. | Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Rama Chellappa |
| 2011 | ICRA | Finding a needle in a specular haystack. | Nitesh Shroff, Yuichi Taguchi, Oncel Tuzel, Ashok Veeraraghavan, Srikumar Ramalingam, Haruhisa Okuda |
| 2011 | UAI | Compressed Inference for Probabilistic Sequential Models. | Gungor Polatkan, Oncel Tuzel |
| 2010 | CVPR | Fast directional chamfer matching. | Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Rama Chellappa |
| 2010 | CVPR | Specular surface reconstruction from sparse reflection correspondences. | Aswin C. Sankaranarayanan, Ashok Veeraraghavan, Oncel Tuzel, Amit K. Agrawal |
| 2010 | ECCV | Untitled record | Srikumar Ramalingam, Yuichi Taguchi, Tim K. Marks, Oncel Tuzel |
| 2010 | ECCV | Image Invariants for Smooth Reflective Surfaces. | Aswin C. Sankaranarayanan, Ashok Veeraraghavan, Oncel Tuzel, Amit K. Agrawal |
| 2010 | ICRA | Pose estimation in heavy clutter using a multi-flash camera. | Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Rama Chellappa, Amit K. Agrawal, Haruhisa Okuda |
| 2009 | ICCV | Kernel methods for weakly supervised mean shift clustering. | Oncel Tuzel, Fatih Porikli, Peter Meer |
| 2008 | CVPR | Learning on lie groups for invariant detection and tracking. | Oncel Tuzel, Fatih Murat Porikli, Peter Meer |
| 2008 | MICCAI | Automatic Image Analysis of Histopathology Specimens Using Concave Vertex Graph. | Lin Yang, Oncel Tuzel, Peter Meer, David J. Foran |
| 2007 | CVPR | Human Detection via Classification on Riemannian Manifolds. | Oncel Tuzel, Fatih Porikli, Peter Meer |
| 2006 | CVPR | Covariance Tracking using Model Update Based on Lie Algebra. | Fatih Porikli, Oncel Tuzel, Peter Meer |
| 2006 | ECCV | Region Covariance: A Fast Descriptor for Detection and Classification. | Oncel Tuzel, Fatih Porikli, Peter Meer |
| 2006 | ICIP | Fast Construction of Covariance Matrices for Arbitrary Size Image Windows. | Fatih Porikli, Oncel Tuzel |
| 2005 | CVPR | A Bayesian Approach to Background Modeling. | Oncel Tuzel, Fatih Murat Porikli, Peter Meer |
| 2005 | ICCV | Simultaneous Multiple 3D Motion Estimation via Mode Finding on Lie Groups. | Oncel Tuzel, Raghav Subbarao, Peter Meer |