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Conditional Training with Bounding Map for Universal Lesion Detection
Universal Lesion Detection (ULD) in computed tomography plays an essenti...
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Human-like Controllable Image Captioning with Verb-specific Semantic Roles
Controllable Image Captioning (CIC) – generating image descriptions foll...
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Boundary Proposal Network for Two-Stage Natural Language Video Localization
We aim to address the problem of Natural Language Video Localization (NL...
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A Virtual Finite Element Method for Two Dimensional Maxwell Interface Problems with a Background Unfitted Mesh
A virtual element method (VEM) with the first order optimal convergence ...
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Error analysis of a decoupled finite element method for quad-curl problems
Finite element approximation to a decoupled formulation for the quad–cur...
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A Closer Look at Temporal Sentence Grounding in Videos: Datasets and Metrics
Despite Temporal Sentence Grounding in Videos (TSGV) has realized impres...
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Class balanced underwater object detection dataset generated by class-wise style augmentation
Underwater object detection technique is of great significance for vario...
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Discrete Hessian complexes in three dimensions
One conforming and one non-conforming virtual element Hessian complexes ...
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Structured Context Enhancement Network for Mouse Pose Estimation
Automated analysis of mouse behaviours is crucial for many applications ...
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Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning
Despite convolutional network-based methods have boosted the performance...
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Multi-View Adaptive Fusion Network for 3D Object Detection
3D object detection based on LiDAR-camera fusion is becoming an emerging...
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SWIPENET: Object detection in noisy underwater images
In recent years, deep learning based object detection methods have achie...
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AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
This paper reviews the AIM 2020 challenge on efficient single image supe...
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Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding
The prevailing framework for solving referring expression grounding is b...
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Detection perceptual underwater image enhancement with deep learning and physical priors
Underwater image enhancement, as a pre-processing step to improve the ac...
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The Adaptability and Challenges of Autonomous Vehicles to Pedestrians in Urban China
China is the world's largest automotive market and is ambitious for auto...
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Defining Digital Quadruplets in the Cyber-Physical-Social Space for Parallel Driving
Parallel driving is a novel framework to synthesize vehicle intelligence...
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Convergence and optimality of an adaptive modified weak Galerkin finite element method
An adaptive modified weak Galerkin method (AmWG) for an elliptic problem...
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Finite elements for divdiv-conforming symmetric tensors in three dimensions
Two types of finite element spaces on a tetrahedron are constructed for ...
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Digital Quadruplets for Cyber-Physical-Social Systems based Parallel Driving: From Concept to Applications
Digital quadruplets aiming to improve road safety, traffic efficiency, a...
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Deep Learning Based Brain Tumor Segmentation: A Survey
Brain tumor segmentation is a challenging problem in medical image analy...
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Comparison of Different Methods for Time Sequence Prediction in Autonomous Vehicles
As a combination of various kinds of technologies, autonomous vehicles c...
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CANet: Context Aware Network for 3D Brain Tumor Segmentation
Automated segmentation of brain tumors in 3D magnetic resonance imaging ...
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Improving Pixel Embedding Learning through Intermediate Distance Regression Supervision for Instance Segmentation
As a proposal-free approach, instance segmentation through pixel embeddi...
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CenterNet3D:An Anchor free Object Detector for Autonomous Driving
Accurate and fast 3D object detection from point clouds is a key task in...
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On Connections between Regularizations for Improving DNN Robustness
This paper analyzes regularization terms proposed recently for improving...
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A Benchmark dataset for both underwater image enhancement and underwater object detection
Underwater image enhancement is such an important vision task due to its...
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Randomized Fast Subspace Descent Methods
Randomized Fast Subspace Descent (RFASD) Methods are developed and analy...
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Hierarchical Fashion Graph Network for Personalized Outfit Recommendation
Fashion outfit recommendation has attracted increasing attentions from o...
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Underwater object detection using Invert Multi-Class Adaboost with deep learning
In recent years, deep learning based methods have achieved promising per...
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Finite elements for divdiv-conforming symmetric tensors
Two types of finite element spaces on triangles are constructed for div-...
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In the Eyes of the Beholder: Sentiment and Topic Analyses on Social Media Use of Neutral and Controversial Terms for COVID-19
During the COVID-19 pandemic, "Chinese Virus" emerged as a controversial...
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MixNet: Multi-modality Mix Network for Brain Segmentation
Automated brain structure segmentation is important to many clinical qua...
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Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints
Automatic instance segmentation is a problem that occurs in many biomedi...
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A CNN Framenwork Based on Line Annotations for Detecting Nematodes in Microscopic Images
Plant parasitic nematodes cause damage to crop plants on a global scale....
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Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review
Autonomous vehicles are experiencing rapid development in the past few y...
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Location-Enabled IoT (LE-IoT): A Survey of Positioning Techniques, Error Sources, and Mitigation
The Internet of Things (IoT) has started to empower the future of many i...
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Multi-Task Learning via Co-Attentive Sharing for Pedestrian Attribute Recognition
Learning to predict multiple attributes of a pedestrian is a multi-task ...
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Distinguish Confusing Law Articles for Legal Judgment Prediction
Legal Judgment Prediction (LJP) is the task of automatically predicting ...
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Counterfactual Samples Synthesizing for Robust Visual Question Answering
Despite Visual Question Answering (VQA) has realized impressive progress...
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Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS
Estimating 3D poses of multiple humans in real-time is a classic but sti...
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Transductive Zero-Shot Hashing for Multi-Label Image Retrieval
Hash coding has been widely used in approximate nearest neighbor search ...
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Learning Lightweight Pedestrian Detector with Hierarchical Knowledge Distillation
It remains very challenging to build a pedestrian detection system for r...
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Extreme Low Resolution Activity Recognition with Spatial-Temporal Attention Transfer
Extreme low-resolution(LR) activity recognition plays a vital role in pr...
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Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data
In practical scenario, relation extraction needs to first identify entit...
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Detection and Tracking of Multiple Mice Using Part Proposal Networks
The study of mouse social behaviours has been increasingly undertaken in...
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MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions
Predicting interactions between structured entities lies at the core of ...
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Robust Lane Detection from Continuous Driving Scenes Using Deep Neural Networks
Lane detection in driving scenes is an important module for autonomous v...
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Towards Building the Semantic Map from a Monocular Camera with a Multi-task Network
In many robotic applications, especially for the autonomous driving, und...
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Scene Dynamics: Counterfactual Critic Multi-Agent Training for Scene Graph Generation
Scene graphs -- objects as nodes and visual relationships as edges -- de...
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