Article in Deep learning for visual understanding (in IEEE SPM)
Advanced deep-learning techniques for salient and category-specific object detection: a survey
Conditional random fields meet deep neural networks for semantic segmentation: combining probabilistic graphical models with deep learning for structured prediction
Deep learning for image-to-text generation
Deep reinforcement learning: a brief survey
Deep-learning systems for domain adaptation in computer vision: learning transferable feature representations
Generative adversarial networks: an overview
Recent advances in zero-shot recognition: toward data-efficient understanding of visual content
The deep regression bayesian network and its applications: probabilistic deep learning for computer vision
Weakly supervised learning with deep convolutional neural networks for semantic segmentation: understanding semantic layout of images with minimum human supervision