![](https://dblp1.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp1.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp1.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
default search action
Oncel Tuzel
Person information
Refine list
![note](https://dblp1.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j7]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) - [c66]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: 12326-12330 - [c65]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 - [c64]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 - [i55]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 abs/2404.15653 (2024) - [i54]Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Oncel Tuzel:
CLIP with Quality Captions: A Strong Pretraining for Vision Tasks. CoRR abs/2405.08911 (2024) - [i53]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 abs/2405.13226 (2024) - [i52]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 abs/2407.06723 (2024) - [i51]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 abs/2407.09435 (2024) - 2023
- [c63]Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu, Oncel Tuzel, Anurag Ranjan:
MobileOne: An Improved One millisecond Mobile Backbone. CVPR 2023: 7907-7917 - [c62]Jen-Hao Rick Chang, Wei-Yu Chen, Anurag Ranjan, Kwang Moo Yi, Oncel Tuzel:
Pointersect: Neural Rendering with Cloud-Ray Intersection. CVPR 2023: 8359-8369 - [c61]Anurag Ranjan, Kwang Moo Yi, Jen-Hao Rick Chang, Oncel Tuzel:
FaceLit: Neural 3D Relightable Faces. CVPR 2023: 8619-8628 - [c60]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: 1-5 - [c59]Karren D. 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: 1-5 - [c58]Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu, Oncel Tuzel, Anurag Ranjan:
FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization. ICCV 2023: 5762-5772 - [c57]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: 16986-16997 - [c56]Florian Jaeckle, Fartash Faghri, Ali Farhadi, Oncel Tuzel, Hadi Pouransari:
FastFill: Efficient Compatible Model Update. ICLR 2023 - [c55]Dmitrii Marin, Jen-Hao Rick Chang, Anurag Ranjan, Anish Prabhu, Mohammad Rastegari, Oncel Tuzel:
Token Pooling in Vision Transformers for Image Classification. WACV 2023: 12-21 - [i50]Florian Jaeckle, Fartash Faghri, Ali Farhadi, Oncel Tuzel, Hadi Pouransari:
FastFill: Efficient Compatible Model Update. CoRR abs/2303.04766 (2023) - [i49]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 abs/2303.08983 (2023) - [i48]Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu, Oncel Tuzel, Anurag Ranjan:
FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization. CoRR abs/2303.14189 (2023) - [i47]Karren D. 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 abs/2303.14885 (2023) - [i46]Anurag Ranjan, Kwang Moo Yi, Jen-Hao Rick Chang, Oncel Tuzel:
FaceLit: Neural 3D Relightable Faces. CoRR abs/2303.15437 (2023) - [i45]Jen-Hao Rick Chang, Wei-Yu Chen, Anurag Ranjan, Kwang Moo Yi, Oncel Tuzel:
Pointersect: Neural Rendering with Cloud-Ray Intersection. CoRR abs/2304.12390 (2023) - [i44]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 abs/2306.07890 (2023) - [i43]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. CoRR abs/2309.10707 (2023) - [i42]Seyed-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 abs/2310.04564 (2023) - [i41]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 abs/2310.14108 (2023) - [i40]Byeongjoo Ahn, Karren D. Yang, Brian Hamilton, Jonathan Sheaffer, Anurag Ranjan, Miguel Sarabia, Oncel Tuzel, Jen-Hao Rick Chang:
Novel-View Acoustic Synthesis from 3D Reconstructed Rooms. CoRR abs/2310.15130 (2023) - [i39]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 abs/2310.15308 (2023) - [i38]Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri:
TiC-CLIP: Continual Training of CLIP Models. CoRR abs/2310.16226 (2023) - [i37]Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Raviteja Vemulapalli, Oncel Tuzel:
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training. CoRR abs/2311.17049 (2023) - [i36]Muhammed Kocabas, Jen-Hao Rick Chang, James Gabriel, Oncel Tuzel, Anurag Ranjan:
HUGS: Human Gaussian Splats. CoRR abs/2311.17910 (2023) - [i35]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 abs/2311.18168 (2023) - [i34]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 abs/2311.18237 (2023) - [i33]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 abs/2312.09299 (2023) - 2022
- [c54]Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari:
Forward Compatible Training for Large-Scale Embedding Retrieval Systems. CVPR 2022: 19364-19373 - [c53]Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan:
NeuMan: Neural Human Radiance Field from a Single Video. ECCV (32) 2022: 402-418 - [c52]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: 4188-4192 - [c51]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: 7682-7686 - [c50]Jen-Hao Rick Chang, Ashish Shrivastava, Hema Koppula, Xiaoshuai Zhang, Oncel Tuzel:
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models. ICML 2022: 2917-2937 - [i32]Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan:
NeuMan: Neural Human Radiance Field from a Single Video. CoRR abs/2203.12575 (2022) - [i31]Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu, Oncel Tuzel, Anurag Ranjan:
An Improved One millisecond Mobile Backbone. CoRR abs/2206.04040 (2022) - [i30]Elan Rosenfeld, Preetum Nakkiran, Hadi Pouransari, Oncel Tuzel, Fartash Faghri:
APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations. CoRR abs/2210.03927 (2022) - [i29]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 abs/2210.13567 (2022) - [i28]Sachin Mehta, Saeid Naderiparizi, Fartash Faghri, Maxwell Horton, Lailin Chen, Ali Farhadi, Oncel Tuzel, Mohammad Rastegari:
RangeAugment: Efficient Online Augmentation with Range Learning. CoRR abs/2212.10553 (2022) - 2021
- [c49]Hadi Pouransari, Mojan Javaheripi, Vinay Sharma, Oncel Tuzel:
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution. CVPR Workshops 2021: 3032-3042 - [c48]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: 1396-1400 - [c47]Ashish Shrivastava, Arnav Kundu, Chandra Dhir, Devang Naik, Oncel Tuzel:
Optimize What Matters: Training DNN-Hmm Keyword Spotting Model Using End Metric. ICASSP 2021: 4000-4004 - [c46]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: 4040-4044 - [i27]Pavan Kumar Anasosalu Vasu, Shreyas Saxena, Oncel Tuzel:
Instance-Level Task Parameters: A Robust Multi-task Weighting Framework. CoRR abs/2106.06129 (2021) - [i26]Jen-Hao Rick Chang, Ashish Shrivastava, Hema Swetha Koppula, Xiaoshuai Zhang, Oncel Tuzel:
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models. CoRR abs/2110.02891 (2021) - [i25]Dmitrii Marin, Jen-Hao Rick Chang, Anurag Ranjan, Anish Prabhu, Mohammad Rastegari, Oncel Tuzel:
Token Pooling in Vision Transformers. CoRR abs/2110.03860 (2021) - [i24]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 abs/2110.07040 (2021) - [i23]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 abs/2110.11479 (2021) - [i22]Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari:
Forward Compatible Training for Representation Learning. CoRR abs/2112.02805 (2021) - 2020
- [c45]Hadi Pouransari, Zhucheng Tu, Oncel Tuzel:
Least squares binary quantization of neural networks. CVPR Workshops 2020: 2986-2996 - [c44]Ting-Yao Hu, Ashish Shrivastava, Oncel Tuzel, Chandra Dhir:
Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis. ICASSP 2020: 3267-3271 - [i21]Hadi Pouransari, Oncel Tuzel:
Least squares binary quantization of neural networks. CoRR abs/2001.02786 (2020) - [i20]Ting-Yao Hu, Ashish Shrivastava, Oncel Tuzel, Chandra Dhir:
Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis. CoRR abs/2003.06227 (2020) - [i19]Hadi Pouransari, Oncel Tuzel:
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution. CoRR abs/2007.00051 (2020) - [i18]Joseph Y. Cheng, Hanlin Goh, Kaan Dogrusoz, Oncel Tuzel, Erdrin Azemi:
Subject-Aware Contrastive Learning for Biosignals. CoRR abs/2007.04871 (2020) - [i17]Ashish Shrivastava, Arnav Kundu, Chandra Dhir, Devang Naik, Oncel Tuzel:
Optimize what matters: Training DNN-HMM Keyword Spotting Model Using End Metric. CoRR abs/2011.01151 (2020) - [i16]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 abs/2011.01156 (2020)
2010 – 2019
- 2019
- [c43]Ashish Shrivastava, Oncel Tuzel:
Learning Conditional Error Model for Simulated Time-Series Data. CVPR Workshops 2019: 91-94 - [c42]Vishwanath A. Sindagi, Yin Zhou, Oncel Tuzel:
MVX-Net: Multimodal VoxelNet for 3D Object Detection. ICRA 2019: 7276-7282 - [c41]Shreyas Saxena, Oncel Tuzel, Dennis DeCoste:
Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum. NeurIPS 2019: 11093-11103 - [i15]Vishwanath A. Sindagi, Yin Zhou, Oncel Tuzel:
MVX-Net: Multimodal VoxelNet for 3D Object Detection. CoRR abs/1904.01649 (2019) - 2018
- [c40]Yin Zhou, Oncel Tuzel:
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection. CVPR 2018: 4490-4499 - [i14]Seyed-Mohsen Moosavi-Dezfooli, Ashish Shrivastava, Oncel Tuzel:
Divide, Denoise, and Defend against Adversarial Attacks. CoRR abs/1802.06806 (2018) - [i13]Saurabh Adya, Vinay Palakkode, Oncel Tuzel:
Nonlinear Conjugate Gradients For Scaling Synchronous Distributed DNN Training. CoRR abs/1812.02886 (2018) - 2017
- [c39]Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Joshua Susskind, Wenda Wang, Russell Webb:
Learning from Simulated and Unsupervised Images through Adversarial Training. CVPR 2017: 2242-2251 - [i12]Kota Hara, Ming-Yu Liu, Oncel Tuzel, Amir-massoud Farahmand:
Attentional Network for Visual Object Detection. CoRR abs/1702.01478 (2017) - [i11]Yin Zhou, Oncel Tuzel:
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection. CoRR abs/1711.06396 (2017) - 2016
- [c38]Chenyi Chen, Ming-Yu Liu, Oncel Tuzel, Jianxiong Xiao:
R-CNN for Small Object Detection. ACCV (5) 2016: 214-230 - [c37]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: 1961-1970 - [c36]Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu, Rama Chellappa:
Gaussian Conditional Random Field Network for Semantic Segmentation. CVPR 2016: 3224-3233 - [c35]Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu:
Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising. CVPR 2016: 4801-4809 - [c34]Oncel Tuzel, Tim K. Marks, Salil Tambe:
Robust Face Alignment Using a Mixture of Invariant Experts. ECCV (5) 2016: 825-841 - [c33]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: 854-858 - [c32]Ming-Yu Liu, Oncel Tuzel:
Coupled Generative Adversarial Networks. NIPS 2016: 469-477 - [c31]Ming-Yu Liu, Arun Mallya, Oncel Tuzel, Xi Chen:
Unsupervised network pretraining via encoding human design. WACV 2016: 1-9 - [i10]Oncel Tuzel, Yuichi Taguchi, John R. Hershey:
Global-Local Face Upsampling Network. CoRR abs/1603.07235 (2016) - [i9]Ming-Yu Liu, Oncel Tuzel:
Coupled Generative Adversarial Networks. CoRR abs/1606.07536 (2016) - [i8]Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Josh Susskind, Wenda Wang, Russell Webb:
Learning from Simulated and Unsupervised Images through Adversarial Training. CoRR abs/1612.07828 (2016) - 2015
- [c30]Abhishek Sharma, Oncel Tuzel, David W. Jacobs:
Deep hierarchical parsing for semantic segmentation. CVPR 2015: 530-538 - [c29]Ming-Yu Liu, Shuoxin Lin, Srikumar Ramalingam, Oncel Tuzel:
Layered Interpretation of Street View Images. Robotics: Science and Systems 2015 - [i7]Ming-Yu Liu, Arun Mallya, Oncel C. Tuzel, Xi Chen:
Unsupervised Deep Network Pretraining via Human Design. CoRR abs/1502.05689 (2015) - [i6]Chinmay Hegde, Oncel Tuzel, Fatih Porikli:
Efficient Upsampling of Natural Images. CoRR abs/1503.00040 (2015) - [i5]Abhishek Sharma, Oncel Tuzel, David W. Jacobs:
Deep Hierarchical Parsing for Semantic Segmentation. CoRR abs/1503.02725 (2015) - [i4]Ming-Yu Liu, Shuoxin Lin, Srikumar Ramalingam, Oncel Tuzel:
Layered Interpretation of Street View Images. CoRR abs/1506.04723 (2015) - [i3]Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu:
Deep Gaussian Conditional Random Field Network: A Model-based Deep Network for Discriminative Denoising. CoRR abs/1511.04067 (2015) - [i2]Oncel Tuzel, Salil Tambe, Tim K. Marks:
Robust Face Alignment Using a Mixture of Invariant Experts. CoRR abs/1511.04404 (2015) - 2014
- [j6]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): 99-112 (2014) - [j5]Saket Anand, Sushil Mittal, Oncel Tuzel, Peter Meer:
Semi-Supervised Kernel Mean Shift Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 36(6): 1201-1215 (2014) - [c28]Oncel Tuzel, Ming-Yu Liu, Yuichi Taguchi, Arvind Raghunathan:
Learning to Rank 3D Features. ECCV (1) 2014: 520-535 - [c27]Abhishek Sharma, Oncel Tuzel, Ming-Yu Liu:
Recursive Context Propagation Network for Semantic Scene Labeling. NIPS 2014: 2447-2455 - [c26]Jie Ni, Tim K. Marks, Oncel Tuzel, Fatih Porikli:
Detecting 3D geometric boundaries of indoor scenes under varying lighting. WACV 2014: 1-8 - 2013
- [c25]Ming-Yu Liu, Oncel Tuzel, Yuichi Taguchi:
Joint Geodesic Upsampling of Depth Images. CVPR 2013: 169-176 - 2012
- [j4]Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Yuichi Taguchi, Tim K. Marks, Rama Chellappa:
Fast object localization and pose estimation in heavy clutter for robotic bin picking. Int. J. Robotics Res. 31(8): 951-973 (2012) - [c24]Yuichi Taguchi, Amit K. Agrawal, Oncel Tuzel:
Motion-Aware Structured Light Using Spatio-Temporal Decodable Patterns. ECCV (5) 2012: 832-845 - [c23]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: 1-9 - [c22]Changhyun Choi
, Yuichi Taguchi, Oncel Tuzel, Ming-Yu Liu, Srikumar Ramalingam:
Voting-based pose estimation for robotic assembly using a 3D sensor. ICRA 2012: 1724-1731 - [i1]Gungor Polatkan, Oncel Tuzel:
Compressed Inference for Probabilistic Sequential Models. CoRR abs/1202.3759 (2012) - 2011
- [c21]Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Rama Chellappa:
Entropy rate superpixel segmentation. CVPR 2011: 2097-2104 - [c20]Nitesh Shroff, Yuichi Taguchi, Oncel Tuzel, Ashok Veeraraghavan, Srikumar Ramalingam, Haruhisa Okuda:
Finding a needle in a specular haystack. ICRA 2011: 5963-5970 - [c19]Gungor Polatkan, Oncel Tuzel:
Compressed Inference for Probabilistic Sequential Models. UAI 2011: 609-618 - 2010
- [c18]Aswin C. Sankaranarayanan, Ashok Veeraraghavan, Oncel Tuzel, Amit K. Agrawal:
Specular surface reconstruction from sparse reflection correspondences. CVPR 2010: 1245-1252 - [c17]Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Rama Chellappa:
Fast directional chamfer matching. CVPR 2010: 1696-1703 - [c16]Aswin C. Sankaranarayanan, Ashok Veeraraghavan, Oncel Tuzel, Amit K. Agrawal:
Image Invariants for Smooth Reflective Surfaces. ECCV (2) 2010: 237-250 - [c15]Srikumar Ramalingam, Yuichi Taguchi, Tim K. Marks, Oncel Tuzel:
P2Pi: A Minimal Solution for Registration of 3D Points to 3D Planes. ECCV (5) 2010: 436-449 - [c14]Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Rama Chellappa, Amit K. Agrawal, Haruhisa Okuda:
Pose estimation in heavy clutter using a multi-flash camera. ICRA 2010: 2028-2035
2000 – 2009
- 2009
- [j3]Lin Yang, Oncel Tuzel, Wenjin Chen, Peter Meer, Gratian Salaru, Lauri A. Goodell, David J. Foran:
PathMiner: A Web-Based Tool for Computer-Assisted Diagnostics in Pathology. IEEE Trans. Inf. Technol. Biomed. 13(3): 291-299 (2009) - [c13]Oncel Tuzel, Fatih Porikli, Peter Meer:
Kernel methods for weakly supervised mean shift clustering. ICCV 2009: 48-55 - [c12]David J. Foran, Lin Yang, Oncel Tuzel, Wenjin Chen, Jun Hu, Tahsin M. Kurç, Renato Ferreira, Joel H. Saltz:
A caGrid-Enabled, Learning Based Image Segmentation Method for Histopathology Specimens. ISBI 2009: 1306-1309 - 2008
- [j2]Oncel Tuzel, Fatih Porikli, Peter Meer:
Pedestrian Detection via Classification on Riemannian Manifolds. IEEE Trans. Pattern Anal. Mach. Intell. 30(10): 1713-1727 (2008) - [c11]Oncel Tuzel, Fatih Murat Porikli, Peter Meer:
Learning on lie groups for invariant detection and tracking. CVPR 2008 - [c10]Lin Yang, Oncel Tuzel, Peter Meer, David J. Foran:
Automatic Image Analysis of Histopathology Specimens Using Concave Vertex Graph. MICCAI (1) 2008: 833-841 - 2007
- [j1]Oncel Tuzel, Lin Yang, Peter Meer, David J. Foran:
Classification of hematologic malignancies using texton signatures. Pattern Anal. Appl. 10(4): 277-290 (2007) - [c9]Oncel Tuzel, Fatih Porikli, Peter Meer:
Human Detection via Classification on Riemannian Manifolds. CVPR 2007 - 2006
- [c8]Fatih Porikli, Oncel Tuzel, Peter Meer:
Covariance Tracking using Model Update Based on Lie Algebra. CVPR (1) 2006: 728-735 - [c7]Oncel Tuzel, Fatih Porikli, Peter Meer:
Region Covariance: A Fast Descriptor for Detection and Classification. ECCV (2) 2006: 589-600 - [c6]Fatih Porikli, Oncel Tuzel:
Fast Construction of Covariance Matrices for Arbitrary Size Image Windows. ICIP 2006: 1581-1584 - 2005
- [c5]Oncel Tuzel, Fatih Murat Porikli, Peter Meer:
A Bayesian Approach to Background Modeling. CVPR Workshops 2005: 58 - [c4]Fatih Porikli, Oncel Tuzel:
Object tracking in low-frame-rate video. Electronic Imaging: Image and Video Communications and Processing 2005 - [c3]Oncel Tuzel, Raghav Subbarao, Peter Meer:
Simultaneous Multiple 3D Motion Estimation via Mode Finding on Lie Groups. ICCV 2005: 18-25 - [c2]Fatih Porikli, Oncel Tuzel:
Multi-Kernel Object Tracking. ICME 2005: 1234-1237 - [c1]Fatih Porikli, Oncel Tuzel:
Bayesian background modeling for foreground detection. VSSN@MM 2005: 55-58
Coauthor Index
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-20 22:49 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint