Oncel Tuzel

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 85

Top Venues

CoRR

CVPR

ICASSP

ICLR

Publications

Jessica Maria Echterhoff, Fartash Faghri, Raviteja Vemulapalli, Ting-Yao Hu, Chun-Liang Li, Oncel Tuzel, Hadi Pouransari
MUSCLE: A Model Update Strategy for Compatible LLM Evolution. CoRR (2024)
Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement. Trans. Mach. Learn. Res. 2024 (2024)
Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri
TiC-CLIP: Continual Training of CLIP Models. ICLR (2024)
Seyed-Iman Mirzadeh, Keivan Alizadeh-Vahid, Sachin Mehta, Carlo C. del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models. ICLR (2024)
Yu-Guan Hsieh, Cheng-Yu Hsieh, Shih-Ying Yeh, Louis Béthune, Hadipour Ansari, Pavan Kumar Anasosalu Vasu, Chun-Liang Li, Ranjay Krishna, Oncel Tuzel, Marco Cuturi
Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions. CoRR (2024)
Sachin Mehta, Maxwell Horton, Fartash Faghri, Mohammad Hossein Sekhavat, Mahyar Najibi, Mehrdad Farajtabar, Oncel Tuzel, Mohammad Rastegari
CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data. CoRR (2024)
Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Oncel Tuzel
CLIP with Quality Captions: A Strong Pretraining for Vision Tasks. CoRR (2024)
Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Raviteja Vemulapalli, Jen-Hao Rick Chang, Karren D. Yang, Gautam Varma Mantena, Oncel Tuzel
Corpus Synthesis for Zero-Shot ASR Domain Adaptation Using Large Language Models. ICASSP (2024)
Hadi Pouransari, Chun-Liang Li, Jen-Hao Rick Chang, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Oncel Tuzel
Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum. CoRR (2024)
Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Raviteja Vemulapalli, Jen-Hao Rick Chang, Karren Yang, Gautam Varma Mantena, Oncel Tuzel
Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models. CoRR (2023)
Haoping Bai, Shancong Mou, Tatiana Likhomanenko, Ramazan Gokberk Cinbis, Oncel Tuzel, Ping Huang, Jiulong Shan, Jianjun Shi, Meng Cao
VISION Datasets: A Benchmark for Vision-based InduStrial InspectiON. CoRR (2023)
Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta, Mehrdad Farajtabar, Mohammad Rastegari, Oncel Tuzel
Label-efficient Training of Small Task-specific Models by Leveraging Vision Foundation Models. CoRR (2023)
Byeongjoo Ahn, Karren Yang, Brian Hamilton, Jonathan Sheaffer, Anurag Ranjan, Miguel Sarabia, Oncel Tuzel, Jen-Hao Rick Chang
Novel-View Acoustic Synthesis from 3D Reconstructed Rooms. CoRR (2023)
Florian Jaeckle, Fartash Faghri, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
FastFill: Efficient Compatible Model Update. CoRR (2023)
Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri
TiC-CLIP: Continual Training of CLIP Models. CoRR (2023)
Karren Yang, Ting-Yao Hu, Jen-Hao Rick Chang, Hema Swetha Koppula, Oncel Tuzel
Text is all You Need: Personalizing ASR Models Using Controllable Speech Synthesis. ICASSP (2023)
Dmitrii Marin, Jen-Hao Rick Chang, Anurag Ranjan, Anish Prabhu, Mohammad Rastegari, Oncel Tuzel
Token Pooling in Vision Transformers for Image Classification. WACV (2023)
Muhammed Kocabas, Jen-Hao Rick Chang, James Gabriel, Oncel Tuzel, Anurag Ranjan
HUGS: Human Gaussian Splats. CoRR (2023)
Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding. CoRR (2023)
Anurag Ranjan, Kwang Moo Yi, Jen-Hao Rick Chang, Oncel Tuzel
FaceLit: Neural 3D Relightable Faces. CVPR (2023)
Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu, Oncel Tuzel, Anurag Ranjan
FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization. ICCV (2023)
Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu, Oncel Tuzel, Anurag Ranjan
FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization. CoRR (2023)
Fartash Faghri, Hadi Pouransari, Sachin Mehta, Mehrdad Farajtabar, Ali Farhadi, Mohammad Rastegari, Oncel Tuzel
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement. CoRR (2023)
Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement. CoRR (2023)
Iman Mirzadeh, Keivan Alizadeh, Sachin Mehta, Carlo C. Del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models. CoRR (2023)
Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Raviteja Vemulapalli, Oncel Tuzel
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training. CoRR (2023)
Jen-Hao Rick Chang, Wei-Yu Chen, Anurag Ranjan, Kwang Moo Yi, Oncel Tuzel
Pointersect: Neural Rendering with Cloud-Ray Intersection. CoRR (2023)
Karren D. Yang, Anurag Ranjan, Jen-Hao Rick Chang, Raviteja Vemulapalli, Oncel Tuzel
Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks, Methods, and Applications. CoRR (2023)
Anurag Ranjan, Kwang Moo Yi, Jen-Hao Rick Chang, Oncel Tuzel
FaceLit: Neural 3D Relightable Faces. CoRR (2023)
Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu, Oncel Tuzel, Anurag Ranjan
MobileOne: An Improved One millisecond Mobile Backbone. CVPR (2023)
Jen-Hao Rick Chang, Wei-Yu Chen, Anurag Ranjan, Kwang Moo Yi, Oncel Tuzel
Pointersect: Neural Rendering with Cloud-Ray Intersection. CVPR (2023)
Karren Yang, Ting-Yao Hu, Jen-Hao Rick Chang, Hema Swetha Koppula, Oncel Tuzel
Text is All You Need: Personalizing ASR Models using Controllable Speech Synthesis. CoRR (2023)
Fartash Faghri, Hadi Pouransari, Sachin Mehta, Mehrdad Farajtabar, Ali Farhadi, Mohammad Rastegari, Oncel Tuzel
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement. ICCV (2023)
Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Aman Chadha, Ashish Srivastava, Minsik Cho, Oncel Tuzel, Devang Naik
I See What You Hear: A Vision-Inspired Method to Localize Words. ICASSP (2023)
Florian Jaeckle, Fartash Faghri, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
FastFill: Efficient Compatible Model Update. ICLR (2023)
Mohammad Samragh, Mehrdad Farajtabar, Sachin Mehta, Raviteja Vemulapalli, Fartash Faghri, Devang Naik, Oncel Tuzel, Mohammad Rastegari
Weight subcloning: direct initialization of transformers using larger pretrained ones. CoRR (2023)
Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
Forward Compatible Training for Large-Scale Embedding Retrieval Systems. CVPR (2022)
Sachin Mehta, Saeid Naderiparizi, Fartash Faghri, Maxwell Horton, Lailin Chen, Ali Farhadi, Oncel Tuzel, Mohammad Rastegari
RangeAugment: Efficient Online Augmentation with Range Learning. CoRR (2022)
Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan
NeuMan: Neural Human Radiance Field from a Single Video. CoRR (2022)
Jen-Hao Rick Chang, Martin Bresler, Youssouf Chherawala, Adrien Delaye, Thomas Deselaers, Ryan S. Dixon, Oncel Tuzel
Data Incubation - Synthesizing Missing Data for Handwriting Recognition. ICASSP (2022)
Jen-Hao Rick Chang, Ashish Shrivastava, Hema Koppula, Xiaoshuai Zhang, Oncel Tuzel
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models. ICML (2022)
Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan
NeuMan: Neural Human Radiance Field from a Single Video. ECCV (32) (2022)
Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu, Oncel Tuzel, Anurag Ranjan
An Improved One millisecond Mobile Backbone. CoRR (2022)
Ting-Yao Hu, Mohammadreza Armandpour, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Oncel Tuzel
SYNT++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition. ICASSP (2022)
Elan Rosenfeld, Preetum Nakkiran, Hadi Pouransari, Oncel Tuzel, Fartash Faghri
APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations. CoRR (2022)
Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Minsik Cho, Aman Chadha, Ashish Shrivastava, Oncel Tuzel, Devang Naik
I see what you hear: a vision-inspired method to localize words. CoRR (2022)
Ting-Yao Hu, Mohammadreza Armandpour, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Oncel Tuzel
Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition. CoRR (2021)
Jen-Hao Rick Chang, Ashish Shrivastava, Hema Swetha Koppula, Xiaoshuai Zhang, Oncel Tuzel
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models. CoRR (2021)
Hadi Pouransari, Mojan Javaheripi, Vinay Sharma, Oncel Tuzel
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution. CVPR Workshops (2021)
Pavan Kumar Anasosalu Vasu, Shreyas Saxena, Oncel Tuzel
Instance-Level Task Parameters: A Robust Multi-task Weighting Framework. CoRR (2021)
Ting-Yao Hu, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Stefan Braun, Kyuyeon Hwang, Ozlem Kalinli, Oncel Tuzel
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation. ICASSP (2021)
Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
Forward Compatible Training for Representation Learning. CoRR (2021)
Jen-Hao Rick Chang, Martin Bresler, Youssouf Chherawala, Adrien Delaye, Thomas Deselaers, Ryan S. Dixon, Oncel Tuzel
Data Incubation - Synthesizing Missing Data for Handwriting Recognition. CoRR (2021)
Ashish Shrivastava, Arnav Kundu, Chandra Dhir, Devang Naik, Oncel Tuzel
Optimize What Matters: Training DNN-Hmm Keyword Spotting Model Using End Metric. ICASSP (2021)
Akash Mehra, Jerome R. Bellegarda, Ojas Bapat, Hema Koppula, Jen-Hao Rick Chang, Ashish Shrivastava, Oncel Tuzel
Implicit vs. Explicit Style Transfer? A Comparison of GAN Architectures for Continuous Path Keyboard Input Modeling. EUSIPCO (2021)
Dmitrii Marin, Jen-Hao Rick Chang, Anurag Ranjan, Anish Prabhu, Mohammad Rastegari, Oncel Tuzel
Token Pooling in Vision Transformers. CoRR (2021)
Hadi Pouransari, Oncel Tuzel
Least squares binary quantization of neural networks. CoRR (2020)
Hadi Pouransari, Zhucheng Tu, Oncel Tuzel
Least squares binary quantization of neural networks. CVPR Workshops (2020)
Joseph Y. Cheng, Hanlin Goh, Kaan Dogrusoz, Oncel Tuzel, Erdrin Azemi
Subject-Aware Contrastive Learning for Biosignals. CoRR (2020)
Ting-Yao Hu, Ashish Shrivastava, Oncel Tuzel, Chandra Dhir
Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis. CoRR (2020)
Ting-Yao Hu, Ashish Shrivastava, Oncel Tuzel, Chandra Dhir
Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis. ICASSP (2020)
Hadi Pouransari, Oncel Tuzel
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution. CoRR (2020)
Ting-Yao Hu, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Stefan Braun, Kyuyeon Hwang, Ozlem Kalinli, Oncel Tuzel
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation. CoRR (2020)
Ashish Shrivastava, Arnav Kundu, Chandra Dhir, Devang Naik, Oncel Tuzel
Optimize what matters: Training DNN-HMM Keyword Spotting Model Using End Metric. CoRR (2020)
Vishwanath A. Sindagi, Yin Zhou, Oncel Tuzel
MVX-Net: Multimodal VoxelNet for 3D Object Detection. CoRR (2019)
Shreyas Saxena, Oncel Tuzel, Dennis DeCoste
Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum. NeurIPS (2019)
Ashish Shrivastava, Oncel Tuzel
Learning Conditional Error Model for Simulated Time-Series Data. CVPR Workshops (2019)
Vishwanath A. Sindagi, Yin Zhou, Oncel Tuzel
MVX-Net: Multimodal VoxelNet for 3D Object Detection. ICRA (2019)
Seyed-Mohsen Moosavi-Dezfooli, Ashish Shrivastava, Oncel Tuzel
Divide, Denoise, and Defend against Adversarial Attacks. CoRR (2018)
Yin Zhou, Oncel Tuzel
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection. CVPR (2018)
Saurabh Adya, Vinay Palakkode, Oncel Tuzel
Nonlinear Conjugate Gradients For Scaling Synchronous Distributed DNN Training. CoRR (2018)
Kota Hara, Ming-Yu Liu, Oncel Tuzel, Amir-massoud Farahmand
Attentional Network for Visual Object Detection. CoRR (2017)
Yin Zhou, Oncel Tuzel
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection. CoRR (2017)
Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Joshua Susskind, Wenda Wang, Russell Webb
Learning from Simulated and Unsupervised Images through Adversarial Training. CVPR (2017)
Ming-Yu Liu, Oncel Tuzel
Coupled Generative Adversarial Networks. CoRR (2016)
Oncel Tuzel, Tim K. Marks, Salil Tambe
Robust Face Alignment Using a Mixture of Invariant Experts. ECCV (5) (2016)
Ming-Yu Liu, Oncel Tuzel
Coupled Generative Adversarial Networks. NIPS (2016)
Toshiaki Koike-Akino, Ruhi Mahajan, Tim K. Marks, Ye Wang, Shinji Watanabe, Oncel Tuzel, Philip V. Orlik
High-accuracy user identification using EEG biometrics. EMBC (2016)
Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Josh Susskind, Wenda Wang, Russell Webb
Learning from Simulated and Unsupervised Images through Adversarial Training. CoRR (2016)
Oncel Tuzel, Yuichi Taguchi, John R. Hershey
Global-Local Face Upsampling Network. CoRR (2016)
Chenyi Chen, Ming-Yu Liu, Oncel Tuzel, Jianxiong Xiao
R-CNN for Small Object Detection. ACCV (5) (2016)
Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu
Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising. CVPR (2016)
Bharat Singh, Tim K. Marks, Michael J. Jones, Oncel Tuzel, Ming Shao
A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection. CVPR (2016)
Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu, Rama Chellappa
Gaussian Conditional Random Field Network for Semantic Segmentation. CVPR (2016)
Ming-Yu Liu, Arun Mallya, Oncel Tuzel, Xi Chen
Unsupervised network pretraining via encoding human design. WACV (2016)
Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu
Deep Gaussian Conditional Random Field Network: A Model-based Deep Network for Discriminative Denoising. CoRR (2015)
Abhishek Sharma, Oncel Tuzel, David W. Jacobs
Deep Hierarchical Parsing for Semantic Segmentation. CoRR (2015)
Ming-Yu Liu, Shuoxin Lin, Srikumar Ramalingam, Oncel Tuzel
Layered Interpretation of Street View Images. Robotics: Science and Systems (2015)
Chinmay Hegde, Oncel Tuzel, Fatih Porikli
Efficient Upsampling of Natural Images. CoRR (2015)
Ming-Yu Liu, Shuoxin Lin, Srikumar Ramalingam, Oncel Tuzel
Layered Interpretation of Street View Images. CoRR (2015)
Oncel Tuzel, Salil Tambe, Tim K. Marks
Robust Face Alignment Using a Mixture of Invariant Experts. CoRR (2015)
Abhishek Sharma, Oncel Tuzel, David W. Jacobs
Deep hierarchical parsing for semantic segmentation. CVPR (2015)
Abhishek Sharma, Oncel Tuzel, Ming-Yu Liu
Recursive Context Propagation Network for Semantic Scene Labeling. NIPS (2014)
Saket Anand, Sushil Mittal, Oncel Tuzel, Peter Meer
Semi-Supervised Kernel Mean Shift Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 36 (6) (2014)
Jie Ni, Tim K. Marks, Oncel Tuzel, Fatih Porikli
Detecting 3D geometric boundaries of indoor scenes under varying lighting. WACV (2014)
Oncel Tuzel, Ming-Yu Liu, Yuichi Taguchi, Arvind Raghunathan
Learning to Rank 3D Features. ECCV (1) (2014)
Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Rama Chellappa
Entropy-Rate Clustering: Cluster Analysis via Maximizing a Submodular Function Subject to a Matroid Constraint. IEEE Trans. Pattern Anal. Mach. Intell. 36 (1) (2014)
Ming-Yu Liu, Oncel Tuzel, Yuichi Taguchi
Joint Geodesic Upsampling of Depth Images. CVPR (2013)
Nitesh Shroff, Ashok Veeraraghavan, Yuichi Taguchi, Oncel Tuzel, Amit K. Agrawal, Rama Chellappa
Variable focus video: Reconstructing depth and video for dynamic scenes. ICCP (2012)
Yuichi Taguchi, Amit K. Agrawal, Oncel Tuzel
Motion-Aware Structured Light Using Spatio-Temporal Decodable Patterns. ECCV (5) (2012)

Oncel Tuzel.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Oncel Tuzel