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Style Normalization and Restitution for DomainGeneralization and Adaptation
For many practical computer vision applications, the learned models usua...
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Confused Modulo Projection based Somewhat Homomorphic Encryption – Cryptosystem, Library and Applications on Secure Smart Cities
With the development of cloud computing, the storage and processing of m...
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Learned Block-based Hybrid Image Compression
Learned image compression based on neural networks have made huge progre...
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Learning Omni-frequency Region-adaptive Representations for Real Image Super-Resolution
Traditional single image super-resolution (SISR) methods that focus on s...
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Deep Multimodality Learning for UAV Video Aesthetic Quality Assessment
Despite the growing number of unmanned aerial vehicles (UAVs) and aerial...
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A Deep Drift-Diffusion Model for Image Aesthetic Score Distribution Prediction
The task of aesthetic quality assessment is complicated due to its subje...
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RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers (Technical Report)
Low-latency online services have strict Service Level Objectives (SLOs) ...
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FAN: Frequency Aggregation Network for Real Image Super-resolution
Single image super-resolution (SISR) aims to recover the high-resolution...
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On Efficient Constructions of Checkpoints
Efficient construction of checkpoints/snapshots is a critical tool for t...
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AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
This paper introduces the real image Super-Resolution (SR) challenge tha...
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Hierarchical Context Embedding for Region-based Object Detection
State-of-the-art two-stage object detectors apply a classifier to a spar...
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Learning Disentangled Feature Representation for Hybrid-distorted Image Restoration
Hybrid-distorted image restoration (HD-IR) is dedicated to restore real ...
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Feature Alignment and Restoration for Domain Generalization and Adaptation
For domain generalization (DG) and unsupervised domain adaptation (UDA),...
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Is Network the Bottleneck of Distributed Training?
Recently there has been a surge of research on improving the communicati...
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Global Distance-distributions Separation for Unsupervised Person Re-identification
Supervised person re-identification (ReID) often has poor scalability an...
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Style Normalization and Restitution for Generalizable Person Re-identification
Existing fully-supervised person re-identification (ReID) methods usuall...
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Exploring Categorical Regularization for Domain Adaptive Object Detection
In this paper, we tackle the domain adaptive object detection problem, w...
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Uncertainty-Aware Multi-Shot Knowledge Distillation for Image-Based Object Re-Identification
Object re-identification (re-id) aims to identify a specific object acro...
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Region Normalization for Image Inpainting
Feature Normalization (FN) is an important technique to help neural netw...
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Aesthetic Attributes Assessment of Images
Image aesthetic quality assessment has been a relatively hot topic durin...
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Facial Makeup Transfer Combining Illumination Transfer
To meet the women appearance needs, we present a novel virtual experienc...
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A Survey and Experimental Analysis of Distributed Subgraph Matching
Recently there emerge many distributed algorithms that aim at solving su...
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Semantics-Aligned Representation Learning for Person Re-identification
Person re-identification (reID) aims to match person images to retrieve ...
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Harmonia: Near-Linear Scalability for Replicated Storage with In-Network Conflict Detection
Distributed storage employs replication to mask failures and improve ava...
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CaseNet: Content-Adaptive Scale Interaction Networks for Scene Parsing
Objects in an image exhibit diverse scales. Adaptive receptive fields ar...
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Relation-Aware Global Attention
Attention mechanism aims to increase the representation power by focusin...
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Neural Packet Classification
Packet classification is a fundamental problem in computer networking. T...
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Flash: Efficient Dynamic Routing for Offchain Networks
Offchain networks emerge as a promising solution to address the scalabil...
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DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching
Load balancing is critical for distributed storage to meet strict servic...
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Unsupervised Single Image Deraining with Self-supervised Constraints
Most existing single image deraining methods require learning supervised...
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Learning for Video Compression
One key challenge to learning-based video compression is that motion pre...
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NetChain: Scale-Free Sub-RTT Coordination (Extended Version)
Coordination services are a fundamental building block of modern cloud s...
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3D Textured Model Encryption via 3D Lu Chaotic Mapping
In the coming Virtual/Augmented Reality (VR/AR) era, 3D contents will be...
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Predicting Aesthetic Score Distribution through Cumulative Jensen-Shannon Divergence
Aesthetic quality prediction is a challenging task in the computer visio...
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Single Reference Image based Scene Relighting via Material Guided Filtering
Image relighting is to change the illumination of an image to a target i...
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Privacy Preserving Face Retrieval in the Cloud for Mobile Users
Recently, cloud storage and processing have been widely adopted. Mobile ...
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Efficient Privacy Preserving Viola-Jones Type Object Detection via Random Base Image Representation
A cloud server spent a lot of time, energy and money to train a Viola-Jo...
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Efficient Deep Aesthetic Image Classification using Connected Local and Global Features
In this paper we investigate the aesthetic image classification problem,...
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Face Alignment In-the-Wild: A Survey
Over the last two decades, face alignment or localizing fiducial facial ...
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