
Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels
Random Fourier Features (RFF) demonstrate wellappreciated performance in...
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FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation
Dense optical flow estimation plays a key role in many robotic vision ta...
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Unsupervised Motion Representation Enhanced Network for Action Recognition
Learning reliable motion representation between consecutive frames, such...
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A New Neuromorphic Computing Approach for Epileptic Seizure Prediction
Several high specificity and sensitivity seizure prediction methods with...
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Deep Deformation Detail Synthesis for Thin Shell Models
In physicsbased cloth animation, rich folds and detailed wrinkles are a...
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Mobileend Tone Mapping based on Integral Image and Integral Histogram
Wide dynamic range (WDR) image tone mapping is in high demand in many ap...
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Tone Mapping Based on Multiscale Histogram Synthesis
In this paper, we present a novel tone mapping algorithm that can be use...
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OASNet: Occlusion Aware Sampling Network for Accurate Optical Flow
Optical flow estimation is an essential step for many realworld compute...
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Deep Reformulated Laplacian Tone Mapping
Wide dynamic range (WDR) images contain more scene details and contrast ...
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A Survey on Extraction of Causal Relations from Natural Language Text
As an essential component of human cognition, causeeffect relations app...
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WDR FACE: The First Database for Studying Face Detection in Wide Dynamic Range
Currently, face detection approaches focus on facial information by vary...
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DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation
Automatic detecting anomalous regions in images of objects or textures w...
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Learning TubuleSensitive CNNs for Pulmonary Airway and ArteryVein Segmentation in CT
Training convolutional neural networks (CNNs) for segmentation of pulmon...
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Multiscale Mesh Deformation Component Analysis with Attentionbased Autoencoders
Deformation component analysis is a fundamental problem in geometry proc...
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Alleviating Classwise Gradient Imbalance for Pulmonary Airway Segmentation
Automated airway segmentation is a prerequisite for preoperative diagno...
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Learn Robust Features via Orthogonal MultiPath
It is now widely known that by adversarial attacks, clean images with in...
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Oneshot Distributed Algorithm for Generalized Eigenvalue Problem
Nowadays, more and more datasets are stored in a distributed way for the...
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Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases
Chest radiography (CXR) is the most widelyused thoracic clinical imagin...
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RISANet: RotationInvariant StructureAware Network for FineGrained 3D Shape Retrieval
Finegrained 3D shape retrieval aims to retrieve 3D shapes similar to a ...
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MultiLevel Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification
Nowadays, deep learning methods, especially the Graph Convolutional Netw...
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Endtoend Kernel Learning via Generative Random Fourier Features
Random Fourier features enable researchers to build feature map to learn...
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Improving Language Generation with Sentence Coherence Objective
Conditional story generation and contextual text continuation have becom...
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DSMNet: Disentangled Structured Mesh Net for Controllable Generation of Fine Geometry
3D shape generation is a fundamental operation in computer graphics. Whi...
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Road Segmentation for Remote Sensing Images using Adversarial Spatial Pyramid Networks
Road extraction in remote sensing images is of great importance for a wi...
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Oversampling Adversarial Network for ClassImbalanced Fault Diagnosis
The collected data from industrial machines are often imbalanced, which ...
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Novel Subtypes of Pulmonary Emphysema Based on SpatiallyInformed Lung Texture Learning
Pulmonary emphysema overlaps considerably with chronic obstructive pulmo...
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FDFlowNet: Fast Optical Flow Estimation using a Deep Lightweight Network
Significant progress has been made for estimating optical flow using dee...
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Analysis of Least Squares Regularized Regression in Reproducing Kernel Krein Spaces
In this paper, we study the asymptotical properties of least squares reg...
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Hierarchical Feature Embedding for Attribute Recognition
Attribute recognition is a crucial but challenging task due to viewpoint...
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Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting
The crowd counting task aims at estimating the number of people located ...
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A CommunicationEfficient Distributed Algorithm for Kernel Principal Component Analysis
Principal Component Analysis (PCA) is a fundamental technology in machin...
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Clustering via torque balance with mass and distance
Grouping similar objects is a fundamental tool of scientific analysis, u...
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Sparse Generalized Canonical Correlation Analysis: Distributed Alternating Iteration based Approach
Sparse canonical correlation analysis (CCA) is a useful statistical tool...
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Imbalanced Data Learning by Minority Class Augmentation using Capsule Adversarial Networks
The fact that image datasets are often imbalanced poses an intense chall...
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Stereo Endoscopic Image SuperResolution Using DisparityConstrained Parallel Attention
With the popularity of stereo cameras in computer assisted surgery techn...
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AMIL: Adversarial Multi Instance Learning for Human Pose Estimation
Human pose estimation has an important impact on a wide range of applica...
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A novel Deep Structure UNet for SeaLand Segmentation in Remote Sensing Images
Sealand segmentation is an important process for many key applications ...
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Realtime Image Smoothing via Iterative Least Squares
Edgepreserving image smoothing is a fundamental procedure for many comp...
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Learning to Incorporate Structure Knowledge for Image Inpainting
This paper develops a multitask learning framework that attempts to inc...
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Optimal Crossover Designs for Generalized Linear Models
We identify locally Doptimal crossover designs for generalized linear m...
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Asymmetric Correlation Quantization Hashing for Crossmodal Retrieval
Due to the superiority in similarity computation and database storage fo...
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MixedPrecision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection
Efficient model inference is an important and practical issue in the dep...
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SemiSupervised Deep Learning Using Improved Unsupervised Discriminant Projection
Deep learning demands a huge amount of welllabeled data to train the ne...
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CNNBased Invertible Wavelet Scattering for the Investigation of Diffusion Properties of the In Vivo Human Heart in Diffusion Tensor Imaging
In vivo diffusion tensor imaging (DTI) is a promising technique to inves...
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A HumanAI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection
Microblogging platforms such as Twitter are increasingly being used in e...
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Adaptive Initialization Method for Kmeans Algorithm
The Kmeans algorithm is a widely used clustering algorithm that offers ...
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Random Fourier Features via Fast Surrogate Leverage Weighted Sampling
In this paper, we propose a fast surrogate leverage weighted sampling st...
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Clusterwise Unsupervised Hashing for CrossModal Similarity Search
In this paper, we present a new clusterwise unsupervised hashing (CUH) ...
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LaplacianNet: Learning on 3D Meshes with Laplacian Encoding and Pooling
3D models are commonly used in computer vision and graphics. With the wi...
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Research Commentary on Recommendations with Side Information: A Survey and Research Directions
Recommender systems have become an essential tool to help resolve the in...
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Jie Yang
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