papers
Publications (13)
cs.CV2019
Divide, Denoise, and Defend against Adversarial Attacks
Seyed-Mohsen Moosavi-Dezfooli, Ashish Shrivastava, Oncel Tuzel
cs.CV2019
MVX-Net: Multimodal VoxelNet for 3D Object Detection
Vishwanath A. Sindagi, Yin Zhou, Oncel Tuzel
cs.CV2015
Deep Gaussian Conditional Random Field Network: A Model-based Deep Network for Discriminative Denoising
Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu
cs.AI2012
Compressed Inference for Probabilistic Sequential Models
Gungor Polatkan, Oncel Tuzel
cs.CV2017
Attentional Network for Visual Object Detection
Kota Hara, Ming-Yu Liu, Oncel Tuzel +1
cs.CV2016
Global-Local Face Upsampling Network
Oncel Tuzel, Yuichi Taguchi, John R. Hershey
cs.CV2015
Deep Hierarchical Parsing for Semantic Segmentation
Abhishek Sharma, Oncel Tuzel, David W. Jacobs
cs.CV2015
Efficient Upsampling of Natural Images
Chinmay Hegde, Oncel Tuzel, Fatih Porikli
cs.CV2017
Learning from Simulated and Unsupervised Images through Adversarial Training
Ashish Shrivastava, Tomas Pfister, Oncel Tuzel +3
cs.CV2016
Coupled Generative Adversarial Networks
Ming-Yu Liu, Oncel Tuzel
cs.CV2016
Robust Face Alignment Using a Mixture of Invariant Experts
Oncel Tuzel, Tim K. Marks, Salil Tambe
cs.CV2017
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Yin Zhou, Oncel Tuzel
cs.CV2015
Layered Interpretation of Street View Images
Ming-Yu Liu, Shuoxin Lin, Srikumar Ramalingam +1