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SEED: Self-supervised Distillation For Visual Representation
This paper is concerned with self-supervised learning for small models. ...
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Unsupervised Domain Adaptation of Black-Box Source Models
Unsupervised domain adaptation (UDA) aims to learn a model for unlabeled...
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Iterated numerical homogenization for multi-scale elliptic equations with monotone nonlinearity
Nonlinear multi-scale problems are ubiquitous in materials science and b...
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VinVL: Making Visual Representations Matter in Vision-Language Models
This paper presents a detailed study of improving visual representations...
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Self-supervised Pre-training with Hard Examples Improves Visual Representations
Self-supervised pre-training (SSP) employs random image transformations ...
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MiniVLM: A Smaller and Faster Vision-Language Model
Recent vision-language (VL) studies have shown remarkable progress by le...
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Are Fewer Labels Possible for Few-shot Learning?
Few-shot learning is challenging due to its very limited data and labels...
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A Data-Driven Analytical Framework of Estimating Multimodal Travel Demand Patterns using Mobile Device Location Data
While benefiting people's daily life in so many ways, smartphones and th...
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TAP: Text-Aware Pre-training for Text-VQA and Text-Caption
In this paper, we propose Text-Aware Pre-training (TAP) for Text-VQA and...
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Unsupervised Pre-training for Person Re-identification
In this paper, we present a large scale unlabeled person re-identificati...
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Unsupervised Alternating Optimization for Blind Hyperspectral Imagery Super-resolution
Despite the great success of deep model on Hyperspectral imagery (HSI) s...
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Meta-Generating Deep Attentive Metric for Few-shot Classification
Learning to generate a task-aware base learner proves a promising direct...
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Constrained high-index saddle dynamics for the solution landscape with equality constraints
We propose a constrained high-index saddle dynamics (CHiSD) to search in...
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MicroNet: Towards Image Recognition with Extremely Low FLOPs
In this paper, we present MicroNet, which is an efficient convolutional ...
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DR-Unet104 for Multimodal MRI brain tumor segmentation
In this paper we propose a 2D deep residual Unet with 104 convolutional ...
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A discretize-then-map approach for the treatment of parameterized geometries in model order reduction
We propose a new general approach for the treatment of parameterized geo...
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Anomaly Detection in a Large-scale Cloud Platform
Cloud computing is ubiquitous: more and more companies are moving the wo...
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Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time
Recent years have witnessed the increasing popularity of learning based ...
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DUMP: A Dummy-Point-Based Framework for Histogram Estimation in Shuffle Model
In Central Differential Privacy (CDP), there is a trusted analyst who co...
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VIVO: Surpassing Human Performance in Novel Object Captioning with Visual Vocabulary Pre-Training
It is highly desirable yet challenging to generate image captions that c...
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Multi-scale Receptive Fields Graph Attention Network for Point Cloud Classification
Understanding the implication of point cloud is still challenging to ach...
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Progressive Semantic-Aware Style Transformation for Blind Face Restoration
Face restoration is important in face image processing, and has been wid...
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A numerical approach for hybrid reliability analysis of structures under mixed uncertainties using the uncertainty theory
This paper presents a novel numerical method for the hybrid reliability ...
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Large-Scale Intelligent Microservices
Deploying Machine Learning (ML) algorithms within databases is a challen...
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Immutable Log Storage as a Service on Private and Public Blockchains
During the normal operation of a Cloud solution, no one pays attention t...
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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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Review and Critical Analysis of Privacy-preserving Infection Tracking and Contact Tracing
The outbreak of viruses have necessitated contact tracing and infection ...
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Tasks Integrated Networks: Joint Detection and Retrieval for Image Search
The traditional object retrieval task aims to learn a discriminative fea...
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Plug-and-Play Image Restoration with Deep Denoiser Prior
Recent works on plug-and-play image restoration have shown that a denois...
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Variational Image Restoration Network
Deep neural networks (DNNs) have achieved significant success in image r...
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Domain Private and Agnostic Feature for Modality Adaptive Face Recognition
Heterogeneous face recognition is a challenging task due to the large mo...
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Hard Negative Samples Emphasis Tracker without Anchors
Trackers based on Siamese network have shown tremendous success, because...
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Single-Shot Two-Pronged Detector with Rectified IoU Loss
In the CNN based object detectors, feature pyramids are widely exploited...
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Hierarchical Bi-Directional Feature Perception Network for Person Re-Identification
Previous Person Re-Identification (Re-ID) models aim to focus on the mos...
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Construction of a minimum energy path for the VT flash model by an exponential time differencing scheme with the string method
Phase equilibrium calculation, also known as flash calculation, plays si...
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Blind Face Restoration via Deep Multi-scale Component Dictionaries
Recent reference-based face restoration methods have received considerab...
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SMAP: A Joint Dimensionality Reduction Scheme for Secure Multi-Party Visualization
Nowadays, as data becomes increasingly complex and distributed, data ana...
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How different age groups responded to the COVID-19 pandemic in terms of mobility behaviors: a case study of the United States
The rapid spread of COVID-19 has affected thousands of people from diffe...
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Suppress and Balance: A Simple Gated Network for Salient Object Detection
Most salient object detection approaches use U-Net or feature pyramid ne...
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Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer
In this paper, we propose an effective knowledge transfer framework to b...
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Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation
Motivated by the problem relatedness between unsupervised domain adaptat...
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A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection
Existing RGB-D salient object detection (SOD) approaches concentrate on ...
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Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation
Real-world image noise removal is a long-standing yet very challenging t...
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A Posteriori Error Estimates for Adaptive QM/MM Coupling Methods
Hybrid quantum/molecular mechanics models (QM/MM methods) are widely use...
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Weakness Analysis of Cyberspace Configuration Based on Reinforcement Learning
In this work, we present a learning-based approach to analysis cyberspac...
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Aligning Partially Overlapping Point Sets: an Inner Approximation Algorithm
Aligning partially overlapping point sets where there is no prior inform...
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Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN
Conventional object detection models inevitably encounter a performance ...
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Abnormal activity capture from passenger flow of elevator based on unsupervised learning and fine-grained multi-label recognition
We present a work-flow which aims at capturing residents' abnormal activ...
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DanHAR: Dual Attention Network For Multimodal Human Activity Recognition Using Wearable Sensors
Human activity recognition (HAR) in ubiquitous computing has been beginn...
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Melanoma Diagnosis with Spatio-Temporal Feature Learning on Sequential Dermoscopic Images
Existing studies for automated melanoma diagnosis are based on single-ti...
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