Journals starting with dee

DeepLearn-C16 * *Deep Vision: Deep Learning in Computer Vision
* Adversarial Diversity and Hard Positive Generation
* Deep End2End Voxel2Voxel Prediction
* Faster R-CNN Features for Instance Search
* Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association
* Learning by Tracking: Siamese CNN for Robust Target Association
* ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation
* Rich Image Captioning in the Wild
8 for DeepLearn-C16

DeepLearn14 * *Deep Vision: Deep Learning in Computer Vision
* CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
* Generalized Autoencoder: A Neural Network Framework for Dimensionality Reduction
* Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network
* Piggyback Representation for Action Recognition, A
* Unrolling Loopy Top-Down Semantic Feedback in Convolutional Deep Networks

DeepLearn15 * *Deep Vision: Deep Learning in Computer Vision
* Channel-Max, Channel-Drop and Stochastic Max-pooling
* Color constancy using CNNs
* Convolutional recurrent neural networks: Learning spatial dependencies for image representation
* Deep learning of binary hash codes for fast image retrieval
* Exploiting local features from deep networks for image retrieval
* From generic to specific deep representations for visual recognition
* Learning to count with deep object features
* Multi-scale pyramid pooling for deep convolutional representation
* Object level deep feature pooling for compact image representation
* Self-tuned deep super resolution
* Subset feature learning for fine-grained category classification
12 for DeepLearn15

DeepLearn16 * *Deep Vision: Deep Learning in Computer Vision
* 3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information
* Class-Specific Object Pose Estimation and Reconstruction Using 3D Part Geometry
* CNN Cascade for Landmark Guided Semantic Part Segmentation, A
* Deep Disentangled Representations for Volumetric Reconstruction
* Deep Kinematic Pose Regression
* Deep Shape from a Low Number of Silhouettes
* gvnn: Neural Network Library for Geometric Computer Vision
* How Useful Is Photo-Realistic Rendering for Visual Learning?
* Improving Constrained Bundle Adjustment Through Semantic Scene Labeling
* Learning Covariant Feature Detectors
* Learning the Structure of Objects from Web Supervision
* Monocular Surface Reconstruction Using 3D Deformable Part Models
* On-Line Large Scale Semantic Fusion
* Overcoming Occlusion with Inverse Graphics
* Scene Segmentation Driven by Deep Learning and Surface Fitting
* VConv-DAE: Deep Volumetric Shape Learning Without Object Labels
17 for DeepLearn16

DeepLearnV14 * *Deep Learning on Visual Data
* Deep Learning in the EEG Diagnosis of Alzheimer's Disease
* Human Action Recognition Using Action Bank Features and Convolutional Neural Networks
* Hybrid CNN-HMM Model for Street View House Number Recognition
* Pedestrian Detection with Deep Convolutional Neural Network
* View and Illumination Invariant Object Classification Based on 3D Color Histogram Using Convolutional Neural Networks

DeepVisual16 * *Interpretation and Visualization of Deep Neural Nets
* Dense Residual Pyramid Networks for Salient Object Detection
* Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios
* Glance and Glimpse Network: A Stochastic Attention Model Driven by Class Saliency
* Image Patch Matching Using Convolutional Descriptors with Euclidean Distance
* Multi-Scale Hierarchy Deep Feature Aggregation for Compact Image Representations
* Quantitative Analysis of a Bioplausible Model of Misperception of Slope in the Café Wall Illusion
7 for DeepVisual16

Index for "d"


Last update:15-Jul-17 21:17:45
Use price@usc.edu for comments.