research
∙
08/15/2023
CASPNet++: Joint Multi-Agent Motion Prediction
The prediction of road users' future motion is a critical task in suppor...
share
research
∙
05/26/2023
Evaluating Open-Domain Dialogues in Latent Space with Next Sentence Prediction and Mutual Information
The long-standing one-to-many issue of the open-domain dialogues poses s...
research
∙
04/17/2023
Iterative projection method for unsteady Navier-Stokes equations with high Reynolds numbers
A new approach, iteration projection method, is proposed to solve the sa...
research
∙
01/02/2023
Credible Remote Sensing Scene Classification Using Evidential Fusion on Aerial-Ground Dual-view Images
Due to their ability to offer more comprehensive information than data f...
research
∙
08/04/2022
Semantic Interleaving Global Channel Attention for Multilabel Remote Sensing Image Classification
Multi-Label Remote Sensing Image Classification (MLRSIC) has received in...
research
∙
07/30/2022
Few-Shot Class-Incremental Learning from an Open-Set Perspective
The continual appearance of new objects in the visual world poses consid...
research
∙
04/07/2022
Unsupervised Quantized Prosody Representation for Controllable Speech Synthesis
In this paper, we propose a novel prosody disentangle method for prosodi...
research
∙
01/18/2022
Context-Aware Scene Prediction Network (CASPNet)
Predicting the future motion of surrounding road users is a crucial and ...
research
∙
09/15/2021
Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks
The ability to predict the future movements of other vehicles is a subco...
research
∙
07/29/2021
Cascaded Residual Density Network for Crowd Counting
Crowd counting is a challenging task due to the issues such as scale var...
research
∙
04/30/2021
Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph
Conversational Recommender Systems (CRSs) in E-commerce platforms aim to...
research
∙
03/16/2021
A comparative study of deep learning methods for building footprints detection using high spatial resolution aerial images
Building footprints data is of importance in several urban applications ...
research
∙
02/26/2021
Genetic Algorithm based hyper-parameters optimization for transfer Convolutional Neural Network
Hyperparameter optimization is a challenging problem in developing deep ...
research
∙
01/29/2021
Polynomial Trajectory Predictions for Improved Learning Performance
The rising demand for Active Safety systems in automotive applications s...
research
∙
10/20/2020
Eliminating the Barriers: Demystifying Wi-Fi Baseband Design and Introducing the PicoScenes Wi-Fi Sensing Platform
Research on Wi-Fi sensing over the past decade has been thriving, but no...
research
∙
10/03/2020
Bounding Boxes Are All We Need: Street View Image Classification via Context Encoding of Detected Buildings
Street view images have been increasingly used in tasks like urban land ...
research
∙
10/02/2020
PrognoseNet: A Generative Probabilistic Framework for Multimodal Position Prediction given Context Information
The ability to predict multiple possible future positions of the ego-veh...
research
∙
05/12/2020
Learning to Estimate Driver Drowsiness from Car Acceleration Sensors using Weakly Labeled Data
This paper addresses the learning task of estimating driver drowsiness f...
research
∙
03/09/2020
Faster ILOD: Incremental Learning for Object Detectors based on Faster RCNN
The human vision and perception system is inherently incremental where n...
research
∙
09/22/2019
To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis?
The condition of the Glomeruli, or filter sacks, in renal Direct Immunof...
research
∙
07/16/2019
Deep inspection: an electrical distribution pole parts study via deep neural networks
Electrical distribution poles are important assets in electricity supply...
research
∙
07/02/2019
Visual analytics for team-based invasion sports with significant events and Markov reward process
In team-based invasion sports such as soccer and basketball, analytics i...
research
∙
06/24/2019
Deep Instance-Level Hard Negative Mining Model for Histopathology Images
Histopathology image analysis can be considered as a Multiple instance l...
research
∙
06/24/2019
CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels
This work tackles the problem of generating a medical report for multi-i...
research
∙
02/23/2019
AliGraph: A Comprehensive Graph Neural Network Platform
An increasing number of machine learning tasks require dealing with larg...
research
∙
06/14/2018
Convex Class Model on Symmetric Positive Definite Manifolds
The effectiveness of Symmetric Positive Definite (SPD) manifold features...
research
∙
03/20/2018
SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks
This work tackles the automatic fine-grained slide quality assessment pr...
research
∙
11/19/2017
Lung nodule classification by THE combination of Fusion classifier and Cascaded Convolutional Neural Networks
Lung nodule classification is a class imbalanced problem, as nodules are...
research
∙
03/01/2017
Multi-stage Neural Networks with Single-sided Classifiers for False Positive Reduction and its Evaluation using Lung X-ray CT Images
Lung nodule classification is a class imbalanced problem because nodules...
research
∙
02/02/2017
Topic Modeling the Hà n diăn Ancient Classics
Ancient Chinese texts present an area of enormous challenge and opportun...
research
∙
02/21/2016
Determining the best attributes for surveillance video keywords generation
Automatic video keyword generation is one of the key ingredients in redu...
research
∙
02/18/2015
Temporal Embedding in Convolutional Neural Networks for Robust Learning of Abstract Snippets
The prediction of periodical time-series remains challenging due to vari...
research
∙
03/04/2014
