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Rethinking the Artificial Neural Networks: A Mesh of Subnets with a Central Mechanism for Storing and Predicting the Data
The Artificial Neural Networks (ANNs) have been originally designed to f...
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Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style Transfer
Nowadays, deep learning techniques are widely used for lane detection, b...
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ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features
With the rapid development of spaceborne imaging techniques, object dete...
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Assessing the Memory Ability of Recurrent Neural Networks
It is known that Recurrent Neural Networks (RNNs) can remember, in their...
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Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set
Recently, deep learning based 3D face reconstruction methods have shown ...
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UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation
We propose UniViLM: a Unified Video and Language pre-training Model for ...
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Salient Object Detection in the Deep Learning Era: An In-Depth Survey
As an important problem in computer vision, salient object detection (SO...
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A Novel Deep Neural Network Architecture for Mars Visual Navigation
In this paper, emerging deep learning techniques are leveraged to deal w...
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Domain-adversarial Network Alignment
Network alignment is a critical task to a wide variety of fields. Many e...
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Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization
Neural networks with ReLU activations have achieved great empirical succ...
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Deep Single-View 3D Object Reconstruction with Visual Hull Embedding
3D object reconstruction is a fundamental task of many robotics and AI p...
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P-ODN: Prototype based Open Deep Network for Open Set Recognition
Most of the existing recognition algorithms are proposed for closed set ...
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Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements
Removing undesirable reflections from a single image captured through a ...
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Efficient Structurally-Strengthened Generative Adversarial Network for MRI Reconstruction
Compressed sensing based magnetic resonance imaging (CS-MRI) provides an...
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Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation
Acquiring sufficient ground-truth supervision to train deep visual model...
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Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction
Midterm stock price prediction is crucial for value investments in the s...
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Self-Learning with Rectification Strategy for Human Parsing
In this paper, we solve the sample shortage problem in the human parsing...
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State-aware Anti-drift Robust Correlation Tracking
Correlation filter (CF) based trackers have aroused increasing attention...
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Motion-Attentive Transition for Zero-Shot Video Object Segmentation
In this paper, we present a novel Motion-Attentive Transition Network (M...
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A Unified Object Motion and Affinity Model for Online Multi-Object Tracking
Current popular online multi-object tracking (MOT) solutions apply singl...
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Domain Conditioned Adaptation Network
Tremendous research efforts have been made to thrive deep domain adaptat...
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The Disruptions of 5G on Data-driven Technologies and Applications
With 5G on the verge of being adopted as the next mobile network, there ...
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Pulsar Candidate Identification with Artificial Intelligence Techniques
Discovering pulsars is a significant and meaningful research topic in th...
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Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation
In this paper, we propose a pose grammar to tackle the problem of 3D hum...
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Deep Cropping via Attention Box Prediction and Aesthetics Assessment
We model the photo cropping problem as a cascade of attention box regres...
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Novel Evaluation Metrics for Seam Carving based Image Retargeting
Image retargeting effectively resizes images by preserving the recogniza...
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Solving Almost all Systems of Random Quadratic Equations
This paper deals with finding an n-dimensional solution x to a system of...
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Anisotropic Diffusion-based Kernel Matrix Model for Face Liveness Detection
Facial recognition and verification is a widely used biometric technolog...
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Quadruplet Network with One-Shot Learning for Visual Tracking
As a discriminative method of one-shot learning, Siamese deep network al...
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Deep Visual Attention Prediction
Deep Convolutional Neural Networks (CNNs) have made substantial improvem...
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Supervised Deep Hashing for Hierarchical Labeled Data
Recently, hashing methods have been widely used in large-scale image ret...
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Dual Teaching: A Practical Semi-supervised Wrapper Method
Semi-supervised wrapper methods are concerned with building effective su...
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Solving Large-scale Systems of Random Quadratic Equations via Stochastic Truncated Amplitude Flow
A novel approach termed stochastic truncated amplitude flow (STAF) is de...
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Selective Video Object Cutout
Conventional video segmentation approaches rely heavily on appearance mo...
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Super-Trajectory for Video Segmentation
We introduce a novel semi-supervised video segmentation approach based o...
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Video Salient Object Detection via Fully Convolutional Networks
This paper proposes a deep learning model to efficiently detect salient ...
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Statistical Pattern Recognition for Driving Styles Based on Bayesian Probability and Kernel Density Estimation
Driving styles have a great influence on vehicle fuel economy, active sa...
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A Rapid Pattern-Recognition Method for Driving Types Using Clustering-Based Support Vector Machines
A rapid pattern-recognition approach to characterize driver's curve-nego...
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Efficient phase retrieval based on dark fringe recognition with an ability of bypassing invalid fringes
This paper discusses the noisy phase retrieval problem: recovering a com...
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Joint Network based Attention for Action Recognition
By extracting spatial and temporal characteristics in one network, the t...
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Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering
Clustering is among the most fundamental tasks in computer vision and ma...
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Sequential Deep Trajectory Descriptor for Action Recognition with Three-stream CNN
Learning the spatial-temporal representation of motion information is cr...
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Recognizing Car Fluents from Video
Physical fluents, a term originally used by Newton [40], refers to time-...
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Temporal Dynamic Appearance Modeling for Online Multi-Person Tracking
Robust online multi-person tracking requires the correct associations of...
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Learning And-Or Models to Represent Context and Occlusion for Car Detection and Viewpoint Estimation
This paper presents a method for learning And-Or models to represent con...
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Embedding of Hypercube into Cylinder
Task mapping in modern high performance parallel computers can be modele...
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Annotation and Detection of Emotion in Text-based Dialogue Systems with CNN
Knowledge of users' emotion states helps improve human-computer interact...
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Conceptualization Topic Modeling
Recently, topic modeling has been widely used to discover the abstract t...
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Compressive Phase Retrieval via Reweighted Amplitude Flow
The problem of reconstructing a sparse signal vector from magnitude-only...
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Deep Stereo Matching with Explicit Cost Aggregation Sub-Architecture
Deep neural networks have shown excellent performance for stereo matchin...
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