03-05

(CVPR 2017) WILDCAT:Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation

03-05

(ICIP 2016) Maxmin convolutional neural networks for image classification

03-05

(CVPR 2016) Learning Deep Features for Discriminative Localization

03-05

(CVPR 2015) Recurrent convolutional neural network for object recognition

03-05

(ICML 2014) Recurrent convolutional neural networks for scene labeling

03-05

(ECCV 2018) Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow

02-26

(ICLR 2018) Ensemble Adversarial Training:Attacks and Defenses

02-26

(ICML 2012) Poisoning Attacks against Support Vector Machines

02-26

(2018) DARCCC:Detecting Adversaries by Reconstruction from Class Conditional Capsule

02-26

(2018) LaVAN:Localized and Visible Adversarial Noise

02-26

(2017) Adversarial patch

02-15

(CVPR 2016) Inverting Visual Representations with Convolutional Networks

02-15

(CVPR 2015) Understanding Deep Image Representations by Inverting Them

02-15

(2016) Estimation of ambient light and transmission map with common convolutional architecture

02-15

(CVPR 2017) Image Super-Resolution via Deep Recursive Residual Network

02-15

(ICML 2016) Pixel recurrent neural networks

02-15

(ECCV 2018) Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining

02-15

(NIPS 2018) Non-Local Recurrent Network for Image Restoration

01-25

(CVPR 2018) Future Frame Prediction for Anomaly Detection -- A New Baseline

01-25

(2018) GANomaly:Semi-Supervised Anomaly Detection via Adversarial Training

01-12

(ICCV 2017) Learning in an Uncertain World:Representing Ambiguity Through Multiple Hypotheses

01-12

(NIPS 2018 Spotlight) Training Neural Networks Using Features Replay

01-12

(CVPR 2018 Best Paper) Taskonomy:Disentangling Task Transfer Learning

01-12

(ECCV 2016) Identity mappings in deep residual networks

01-12

(CVPR 2018) Convolutional Neural Networks with Alternately Updated Clique

01-12

(ICCV 2017) Learning feature pyramids for human pose estimation

01-12

(CVPR 2017) Spiking Deep Residual Network

01-12

(CVPR 2017) Aggregated residual transformations for deep neural networks

01-05

(NIPS 2018 Spotlight) Probabilistic U-Net for Segmentation of Ambiguous Images

01-05

(MICCAI 2018) DeepASL:Kinetic Model Incorporated Loss for Denoising Arterial Spin Labeled MRI via Deep Residual Learning

01-05

(2017) Accurate Lung Segmentation via Network-Wise Training of Convolutional Networks

01-05

(CVPR 2018) Squeeze-and-excitation networks

01-05

(CVPR 2017) Dilated Residual Networks

01-05

(CVPR 2018) Context encoding for semantic segmentation

01-05

(CVPR 2017) Deep TEN:Texture Encoding Network

01-05

(MICCAI 2018) SLSDeep:Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks

01-04

(NIPS 2018 Oral) Generalisation of structural knowledge in the Hippocampal-Entorhinal system

01-04

(NIPS 2018 Oral) Dendritic cortical microcircuits approximate the backpropagation algorithm

12-27

(CVPR 2018 spotlight) Iterative Visual Reasoning Beyond Convolutions

12-27

(CVPR 2018) GLoMo:Unsupervisedly Learned Relational Graphs as Transferable Representations

12-27

(CVPR 2017) The more you know:Using knowledge graphs for image classification

12-27

(ICLR 2018) Relational inductive biases, deep learning, and graph networks

12-27

(CVPR 2018) Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs

12-21

(ICLR 2018) Defense-GAN:Protecting classifiers against adversarial attacks using generative models

12-21

(ICLR 2018) Thermometer encoding:One hot way to resist adversarial examples

12-21

(ICLR 2018) PixelDefend:Leveraging Generative Models to Understand and Defend against Adversarial Examples

12-21

(2017) Obfuscated Gradients Give a False Sense of Security:Circumventing Defenses to Adversarial Examples

12-21

(2017) The robust manifold defense:Adversarial training using generative models

12-21

(CVPR 2018) Art of singular vectors and universal adversarial perturbations

12-21

(CVPR 2018) Generative Adversarial Perturbations