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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)- [c73]Muhammed Kocabas, Jen-Hao Rick Chang, James Gabriel, Oncel Tuzel, Anurag Ranjan:
HUGS: Human Gaussian Splats. CVPR 2024: 505-515 - [c72]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. CVPR Workshops 2024: 3635-3647 - [c71]Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Raviteja Vemulapalli, Oncel Tuzel:
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training. CVPR 2024: 15963-15974 - [c70]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. CVPR 2024: 27284-27293 - [c69]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. EMNLP (Findings) 2024: 7320-7332 - [c68]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 - [c67]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 - [c66]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 - [c65]Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta, Mehrdad Farajtabar, Mohammad Rastegari, Oncel Tuzel:
Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models. ICML 2024 - [c64]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. NeurIPS 2024 - [i59]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) - [i58]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) - [i57]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) - [i56]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) - [i55]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) - [i54]Seyed-Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, Oncel Tuzel, Samy Bengio, Mehrdad Farajtabar:
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models. CoRR abs/2410.05229 (2024) - [i53]Shancong Mou, Raviteja Vemulapalli, Shiyu Li, Yuxuan Liu, C. Thomas, Meng Cao, Haoping Bai, Oncel Tuzel, Ping Huang, Jiulong Shan, Jianjun Shi:
Synth4Seg - Learning Defect Data Synthesis for Defect Segmentation using Bi-level Optimization. CoRR abs/2410.18490 (2024) - [i52]Pavan Kumar Anasosalu Vasu, Fartash Faghri, Chun-Liang Li, Cem Koc, Nate True, Albert Antony, Gokul Santhanam, James Gabriel, Peter Grasch, Oncel Tuzel, Hadi Pouransari:
FastVLM: Efficient Vision Encoding for Vision Language Models. CoRR abs/2412.13303 (2024) - [i51]Jen-Hao Rick Chang, Yuyang Wang, Miguel Ángel Bautista, Jiatao Gu, Joshua M. Susskind, Oncel Tuzel:
3D Shape Tokenization. CoRR abs/2412.15618 (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
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