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ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows
Universal style transfer retains styles from reference images in content...
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DeFLOCNet: Deep Image Editing via Flexible Low-level Controls
User-intended visual content fills the hole regions of an input image in...
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Generalizing Face Forgery Detection with High-frequency Features
Current face forgery detection methods achieve high accuracy under the w...
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Enhanced Spatio-Temporal Interaction Learning for Video Deraining: A Faster and Better Framework
Video deraining is an important task in computer vision as the unwanted ...
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Human-like Controllable Image Captioning with Verb-specific Semantic Roles
Controllable Image Captioning (CIC) – generating image descriptions foll...
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Disentangled Cycle Consistency for Highly-realistic Virtual Try-On
Image virtual try-on replaces the clothes on a person image with a desir...
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VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples
MoCo is effective for unsupervised image representation learning. In thi...
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Parser-Free Virtual Try-on via Distilling Appearance Flows
Image virtual try-on aims to fit a garment image (target clothes) to a p...
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Investigating the potential impact of values on requirements and software engineering
This paper describes an investigation into value-based software engineer...
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Token-Modification Adversarial Attacks for Natural Language Processing: A Survey
There are now many adversarial attacks for natural language processing s...
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Learning Discriminative Features using Multi-label Dual Space
Multi-label learning handles instances associated with multiple class la...
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PSA-Net: Deep Learning based Physician Style-Aware Segmentation Network for Post-Operative Prostate Cancer Clinical Target Volume
Automatic segmentation of medical images with DL algorithms has proven t...
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CPTR: Full Transformer Network for Image Captioning
In this paper, we consider the image captioning task from a new sequence...
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Global-Local Propagation Network for RGB-D Semantic Segmentation
Depth information matters in RGB-D semantic segmentation task for provid...
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A Closer Look at Temporal Sentence Grounding in Videos: Datasets and Metrics
Despite Temporal Sentence Grounding in Videos (TSGV) has realized impres...
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Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration
Adam is one of the most influential adaptive stochastic algorithms for t...
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WEmbSim: A Simple yet Effective Metric for Image Captioning
The area of automatic image caption evaluation is still undergoing inten...
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LCEval: Learned Composite Metric for Caption Evaluation
Automatic evaluation metrics hold a fundamental importance in the develo...
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SubICap: Towards Subword-informed Image Captioning
Existing Image Captioning (IC) systems model words as atomic units in ca...
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Two-directional simultaneous inference for high-dimensional models
This paper proposes a general two directional simultaneous inference (TO...
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Towards Playing Full MOBA Games with Deep Reinforcement Learning
MOBA games, e.g., Honor of Kings, League of Legends, and Dota 2, pose gr...
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The CUHK-TUDELFT System for The SLT 2021 Children Speech Recognition Challenge
This technical report describes our submission to the 2021 SLT Children ...
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Towards Dark Jargon Interpretation in Underground Forums
Dark jargons are benign-looking words that have hidden, sinister meaning...
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Applying a Legendre collocation method based on domain decomposition to calculate underwater sound propagation in a horizontally stratified environment
The propagation of sound waves in a horizontally stratified environment,...
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Defense-friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty
Dataset bias is a problem in adversarial machine learning, especially in...
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GAIN: Graph Attention Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs
Graph Neural Networks (GNNs) have led to state-of-the-art performance on...
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Truncated Milstein method for non-autonomous stochastic differential equations and its modification
The truncated Milstein method, which was initial proposed in (Guo, Liu, ...
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Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies
Deep metric learning plays a key role in various machine learning tasks....
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Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning
We propose a parsimonious quantile regression framework to learn the dyn...
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Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis
Multimodal sentiment analysis utilizes multiple heterogeneous modalities...
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A Chebyshev-Tau spectral method for normal modes of underwater sound propagation with a layered marine environment
The normal mode model is one of the most popular approaches for solving ...
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Targeted Attention Attack on Deep Learning Models in Road Sign Recognition
Real world traffic sign recognition is an important step towards buildin...
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The Stability of Low-Density Parity-Check Codes and Some of Its Consequences
We study the stability of low-density parity-check (LDPC) codes under bl...
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Incentive-compatible mechanisms for continuous resource allocation in mobility-as-a-service: Pay-as-You-Go and Pay-as-a-Package
Mobility as a Service (MaaS) has recently received a significant attenti...
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Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network
Accurate demand forecasting of different public transport modes(e.g., bu...
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Self-supervised Video Representation Learning by Uncovering Spatio-temporal Statistics
This paper proposes a novel pretext task to address the self-supervised ...
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Unravelling the Architecture of Membrane Proteins with Conditional Random Fields
In this paper, we will show that the recently introduced graphical model...
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Learning Modality Interaction for Temporal Sentence Localization and Event Captioning in Videos
Automatically generating sentences to describe events and temporally loc...
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Unsupervised Deep Representation Learning for Real-Time Tracking
The advancement of visual tracking has continuously been brought by deep...
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Face Super-Resolution Guided by 3D Facial Priors
State-of-the-art face super-resolution methods employ deep convolutional...
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Attention-based Residual Speech Portrait Model for Speech to Face Generation
Given a speaker's speech, it is interesting to see if it is possible to ...
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AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks
Generative Adversarial Networks (GANs) are formulated as minimax game pr...
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Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruning
Extracting effective deep features to represent content and style inform...
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GANgster: A Fraud Review Detector based on Regulated GAN with Data Augmentation
Financial implications of written reviews provide great incentives for b...
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DFraud3- Multi-Component Fraud Detection freeof Cold-start
Fraud review detection is a hot research topic inrecent years. The Cold-...
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TCDesc: Learning Topology Consistent Descriptors
Triplet loss is widely used for learning local descriptors from image pa...
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CPOT: Channel Pruning via Optimal Transport
Recent advances in deep neural networks (DNNs) lead to tremendously grow...
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Simultaneous Confidence Tubes for Comparison of Several Multivariate Linear Regression Models
Much of the research on multiple comparison and simultaneous inference i...
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Hierarchical Regression Network for Spectral Reconstruction from RGB Images
Capturing visual image with a hyperspectral camera has been successfully...
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NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
This paper reviews the NTIRE 2020 challenge on real image denoising with...
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