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Transformer Tracking
Correlation acts as a critical role in the tracking field, especially in...
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ChallenCap: Monocular 3D Capture of Challenging Human Performances using Multi-Modal References
Capturing challenging human motions is critical for numerous application...
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High-Capacity Reversible Data Hiding in Encrypted Image Using Pixel Predictions and Huffman Encoding
This paper proposes a high-capacity reversible data hiding scheme for en...
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Reinforcement Learning for Decision-Making and Control in Power Systems: Tutorial, Review, and Vision
With large-scale integration of renewable generation and ubiquitous dist...
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Optimal Clustering in Anisotropic Gaussian Mixture Models
We study the clustering task under anisotropic Gaussian Mixture Models w...
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Certifiably Optimal Sparse Sufficient Dimension Reduction
Sufficient dimension reduction (SDR) is a popular tool in regression ana...
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Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG Classification
In the time-series analysis, the time series motifs and the order patter...
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Object-Driven Active Mapping for More Accurate Object Pose Estimation and Robotic Grasping
This paper presents the first active object mapping framework for comple...
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Attention Aware Cost Volume Pyramid Based Multi-view Stereo Network for 3D Reconstruction
We present an efficient multi-view stereo (MVS) network for 3D reconstru...
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Multi-feature driven active contour segmentation model for infrared image with intensity inhomogeneity
Infrared (IR) image segmentation is essential in many urban defence appl...
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Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction
Potential Drug-Drug Interaction(DDI) occurring while treating complex or...
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Online Learning and Distributed Control for Residential Demand Response
This paper studies the automated control method for regulating air condi...
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Palettailor: Discriminable Colorization for Categorical Data
We present an integrated approach for creating and assigning color palet...
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Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Neural architecture search (NAS) has attracted increasing attentions in ...
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Balancing Common Treatment and Epidemic Control in Medical Procurement during COVID-19: Transform-and-Divide Evolutionary Optimization
Balancing common disease treatment and epidemic control is a key objecti...
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Secure Computation Framework for Multiple Data Providers Against Malicious Adversaries
Due to the great development of secure multi-party computation, many pra...
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GOLD-NAS: Gradual, One-Level, Differentiable
There has been a large literature of neural architecture search, but mos...
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Testing and Support Recovery of Correlation Structures for Matrix-Valued Observations with an Application to Stock Market Data
Estimation of the covariance matrix of asset returns is crucial to portf...
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AutoSweep: Recovering 3D Editable Objectsfrom a Single Photograph
This paper presents a fully automatic framework for extracting editable ...
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A Novel Meta Learning Framework for Feature Selection using Data Synthesis and Fuzzy Similarity
This paper presents a novel meta learning framework for feature selectio...
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A Novel Weighted Combination Method for Feature Selection using Fuzzy Sets
In this paper, we propose a novel weighted combination feature selection...
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Performance Optimization of a Fuzzy Entropy based Feature Selection and Classification Framework
In this paper, based on a fuzzy entropy feature selection framework, dif...
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FU-net: Multi-class Image Segmentation Using Feedback Weighted U-net
In this paper, we present a generic deep convolutional neural network (D...
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DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation
Residual network (ResNet) and densely connected network (DenseNet) have ...
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A Spatially Constrained Deep Convolutional Neural Network for Nerve Fiber Segmentation in Corneal Confocal Microscopic Images using Inaccurate Annotations
Semantic image segmentation is one of the most important tasks in medica...
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Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks
Neural architecture search has attracted wide attentions in both academi...
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A generic ensemble based deep convolutional neural network for semi-supervised medical image segmentation
Deep learning based image segmentation has achieved the state-of-the-art...
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Triad State Space Construction for Chaotic Signal Classification with Deep Learning
Inspired by the well-known permutation entropy (PE), an effective image ...
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Circumventing Outliers of AutoAugment with Knowledge Distillation
AutoAugment has been a powerful algorithm that improves the accuracy of ...
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Online Residential Demand Response via Contextual Multi-Armed Bandits
Residential load demands have huge potential to be exploited to enhance ...
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Biased Stochastic Gradient Descent for Conditional Stochastic Optimization
Conditional Stochastic Optimization (CSO) covers a variety of applicatio...
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Motif Difference Field: A Simple and Effective Image Representation of Time Series for Classification
Time series motifs play an important role in the time series analysis. T...
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Latency-Aware Differentiable Neural Architecture Search
Differentiable neural architecture search methods became popular in auto...
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Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild
With the rapid development of neural architecture search (NAS), research...
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MM Algorithms for Distance Covariance based Sufficient Dimension Reduction and Sufficient Variable Selection
Sufficient dimension reduction (SDR) using distance covariance (DCOV) wa...
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A More Refined Mobile Edge Cache Replacement Scheme for Adaptive Video Streaming with Mutual Cooperation in Multi-MEC Servers
In this paper, we propose a more refined video segment based Mobile Edge...
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Stabilizing DARTS with Amended Gradient Estimation on Architectural Parameters
Differentiable neural architecture search has been a popular methodology...
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Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation
Supervised semantic segmentation normally assumes the test data being in...
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Data Augmentation Revisited: Rethinking the Distribution Gap between Clean and Augmented Data
Data augmentation has been widely applied as an effective methodology to...
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PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search
Differentiable architecture search (DARTS) provided a fast solution in f...
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ReachNN: Reachability Analysis of Neural-Network Controlled Systems
Applying neural networks as controllers in dynamical systems has shown g...
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Sample Complexity of Sample Average Approximation for Conditional Stochastic Optimization
In this paper, we study a class of stochastic optimization problems, ref...
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Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation
Recently, differentiable search methods have made major progress in redu...
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Paying More Attention to Motion: Attention Distillation for Learning Video Representations
We address the challenging problem of learning motion representations us...
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Towards 3D Human Shape Recovery Under Clothing
We present a learning-based scheme for robustly and accurately estimatin...
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Singing voice conversion with non-parallel data
Singing voice conversion is a task to convert a song sang by a source si...
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BandNet: A Neural Network-based, Multi-Instrument Beatles-Style MIDI Music Composition Machine
In this paper, we propose a recurrent neural network (RNN)-based MIDI mu...
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Sufficient Dimension Reduction for Classification
We propose a new sufficient dimension reduction approach designed delibe...
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Unsupervised Domain Adaptation using Generative Models and Self-ensembling
Transferring knowledge across different datasets is an important approac...
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Beyond "How may I help you?": Assisting Customer Service Agents with Proactive Responses
We study the problem of providing recommended responses to customer serv...
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