Journals starting with cefr

CEFR-LCV17 * *Compact and Efficient Feature Representation and Learning in Computer Vision
* 4D Effect Video Classification with Shot-Aware Frame Selection and Deep Neural Networks
* Automatic Discovery of Discriminative Parts as a Quadratic Assignment Problem
* Binary-Decomposed DCNN for Accelerating Computation and Compressing Model Without Retraining
* Class-Specific Reconstruction Transfer Learning via Sparse Low-Rank Constraint
* Co-localization with Category-Consistent Features and Geodesic Distance Propagation
* Coarse-to-Fine Deep Kernel Networks
* Compact Color Texture Descriptor Based on Rank Transform and Product Ordering in the RGB Color Space
* Compact Feature Representation for Image Classification Using ELMs
* Consistent Iterative Multi-view Transfer Learning for Person Re-identification
* DelugeNets: Deep Networks with Efficient and Flexible Cross-Layer Information Inflows
* Double-Task Deep Q-Learning with Multiple Views
* Dynamic Computational Time for Visual Attention
* Efficient Convolutional Network Learning Using Parametric Log Based Dual-Tree Wavelet ScatterNet
* Efficient Fine-Grained Classification and Part Localization Using One Compact Network
* End-to-End Visual Target Tracking in Multi-robot Systems Based on Deep Convolutional Neural Network
* Enlightening Deep Neural Networks with Knowledge of Confounding Factors
* Fast CNN-Based Document Layout Analysis
* Few-Shot Hash Learning for Image Retrieval
* Handcrafted Normalized-Convolution Network for Texture Classification, A
* Improved Descriptors for Patch Matching and Reconstruction
* Large-Scale Content-Only Video Recommendation
* Learning Efficient Deep Feature Representations via Transgenerational Genetic Transmission of Environmental Information During Evolutionary Synthesis of Deep Neural Networks
* Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations Through Sexual Evolutionary Synthesis, The
* Max-Boost-GAN: Max Operation to Boost Generative Ability of Generative Adversarial Networks
* Multiplicative Noise Channel in Generative Adversarial Networks
* Oceanic Scene Recognition Using Graph-of-Words (GoW)
* P-TELU: Parametric Tan Hyperbolic Linear Unit Activation for Deep Neural Networks
* Rotation Invariant Local Binary Convolution Neural Networks
* Spatial-Temporal Weighted Pyramid Using Spatial Orthogonal Pooling
* Structured Images for RGB-D Action Recognition
* Texture and Structure Incorporated ScatterNet Hybrid Deep Learning Network (TS-SHDL) for Brain Matter Segmentation
* Towards Good Practices for Image Retrieval Based on CNN Features
* UDNet: Up-Down Network for Compact and Efficient Feature Representation in Image Super-Resolution
* Vehicle Logo Retrieval Based on Hough Transform and Deep Learning
* Video Summarization Via Multiview Representative Selection
36 for CEFR-LCV17

CEFR-LCV18 * *Compact and Efficient Feature Representation and Learning in Computer Vision
* Active Descriptor Learning for Feature Matching
* Adversarial Network Compression
* Compact Deep Aggregation for Set Retrieval
* Discriminative Feature Selection by Optimal Manifold Search for Neoplastic Image Recognition
* DNN Feature Map Compression Using Learned Representation over GF(2)
* Efficient Texture Retrieval Using Multiscale Local Extrema Descriptors and Covariance Embedding
* Extended Non-local Feature for Visual Saliency Detection in Low Contrast Images
* Fast, Visual and Interactive Semi-supervised Dimensionality Reduction
* Frustratingly Easy Trade-off Optimization Between Single-Stage and Two-Stage Deep Object Detectors
* GA-Based Filter Selection for Representation in Convolutional Neural Networks
* Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization
* Joint Generative Model for Zero-Shot Learning, A
* LBP-Motivated Colour Texture Classification
* Learning CCA Representations for Misaligned Data
* Learning Relationship-Aware Visual Features
* Multi-style Generative Network for Real-Time Transfer
* Small Defect Detection Using Convolutional Neural Network Features and Random Forests
* Target Aware Network Adaptation for Efficient Representation Learning
* Targeted Kernel Networks: Faster Convolutions with Attentive Regularization
20 for CEFR-LCV18

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Last update:20-Feb-20 22:11:06
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