| 11/11 |
MS |
DroidEvolver: Self-Evolving Android Malware Detection System |
| 16/09 |
MY |
Machine Learning For Automatic Malware Representation and Analysis (PhD thesis) |
| 5/8 |
AA |
MRI Augmentation via Elastic Registration for Brain Lesions Segmentation |
| 22/7 |
SS |
Deep Supervised Cross-Modal Retrieval |
| 8/7 |
MS |
Improving Robustness of ML Classifiers against Realizable Evasion Attacks Using Conserved Features |
| 11/6 |
WK |
Overview of Biometrics and Medical Imaging for Machine Vision (Presentation) |
| 27/5 |
ON |
Discriminability Objective for Training Descriptive Captions |
| 13/5 |
SS |
Field guide for Troubleshooting Deep Neural Networks |
| 29/4 |
MG |
3D MRI brain tumor segmentation using autoencoder regularization |
| 25/3 |
AA |
SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation |
| 11/3 |
XD |
Deep Learning for MR Angiography: Automated Detection of Cerebral Aneurysms |
| 25/2 |
SS |
Diverse and Coherent Paragraph Generation from Images |
| 11/2 |
MY |
Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks |
| 2018 |
|
|
| 17/12 |
LH |
30+ Years: A Research Story |
| 3/12 |
TH |
MRes Thesis on Convolutional Neural Networks for Prostate Magnetic Resonance Image Segmentation |
| 26/11 |
RN |
Machine learning with synthetic data - Sources: 1-Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization, 2- Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies and 3- Designing Empirical Lab Experiments for SAR-ATR |
| 19/11 |
RN |
MRes Thesis on Radar Emitter Recognition (RER) |
| 12/11 |
LH |
A. Zamir et al Taskonomy: Disentangling Task Transfer Learning |
| 29/10 |
MS |
P.Samangouei et al Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models |
| 22/10 |
LW |
Learning SPD-matrix-based Representation for Visual Recognition (Presentation) |
| 15/10 |
AA |
VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation |
| 17/9 |
MY |
M. Peters et al Deep Contextualized word representations |
| 10/9 |
SS |
Rajpurkar et al CheXNet: Radiologist-Level Pneumonia Detection on Chest X-rays with Deep Learning |
| 3/9 |
MS |
M . Jagielski et al Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning |
| 27/8 |
Video |
Nando de Freitas and Scott Reed Deep Learning: Practice and Trends (NIPS 2017 Tutorial) |
| 20/8 |
YQ |
Computer simulation for the vascular diseases, Where we are and where to go |
| 13/8 |
MY |
M. Zaheer et al Deep Sets |
| 6/8 |
AA |
N. Ballas et al Delving Deeper Into Convolutional Networks For Learning Video Representations |
| 30/7 |
SS |
A. Gordo and D. Larlus Beyond instance-level image retrieval: Leveraging captions to learn a global visual representation for semantic retrieval (Presentation) |
| 23/7 |
MS |
N. Papernot et al Practical Black-Box Attacks against Machine Learning |
| 9/7 |
AA |
Fast ai workshop session |
| 2/7 |
WR |
Modulating and decoding visual information: from cannabinoids to artificial neural networks |
| 25/6 |
KS |
Medical Imaging at Biomedical Informatics Group, CSRIO Health & Biosecurity (Presentation) |
| 18/6 |
TH |
H. Jia et al Atlas registration and ensemble deep convolutional neural network-based prostate segmentation using magnetic resonance imaging (Presentation) |
| 4/6 |
PA |
Vision and Language Learning: From Image Captioning and Visual Question Answering towards Embodied Agents (Details) |
| 28/5 |
Video |
Tom Goldstein What do Neural loss surfaces look like? |
| 21/5 |
KH |
A Radiologist’s Introduction to Medical Imaging (Presentation) |
| 14/5 |
SA |
Impact of MRI technology on Alzheimer’s disease detection (Presentation) |
| 7/5 |
SS |
P. Wang et al FVQA: Fact-based Visual Question Answering |
| 30/4 |
AA |
J. Wolterink et al Generative Adversarial Networks for Noise Reduction in Low-Dose CT |
| 23/4 |
ON |
Facial Expression Recognition using Deep Learning (Presentation) |
| 9/4 |
MS |
H. Qin et al DeepFish: Accurate underwater live fish recognition with a deep architecture |
| 26/3 |
RN |
Z. Yang et al Hybrid Radar Emitter Recognition Based on Rough k-Means Classifier and Relevance Vector Machine (Presentation; RVM paper by Tipping) |
| 19/3 |
MY |
Yousefi-Azar et al Malytics: A Malware Detection Scheme |
| 12/3 |
TH |
Jegou et al The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation (Presentation) |
| 26/2 |
SA |
Liu et al Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer’s Disease and Mild Cognitive Impairment |
| 5/2 |
SS |
Zhang et al MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network (Resources) |
