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Towards Interpretable and Robust Hand Detection via Pixel-wise Prediction
The lack of interpretability of existing CNN-based hand detection method...
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Occluded Prohibited Items Detection: An X-ray Security Inspection Benchmark and De-occlusion Attention Module
Object detection has taken advantage of the advances in deep convolution...
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CASS: Towards Building a Social-Support Chatbot for Online Health Community
Chatbots systems, despite their popularity in today's HCI and CSCW resea...
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Learning Semantic Neural Tree for Human Parsing
The majority of existing human parsing methods formulate the task as sem...
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Sharing deep generative representation for perceived image reconstruction from human brain activity
Decoding human brain activities via functional magnetic resonance imagin...
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Joint Hand Detection and Rotation Estimation by Using CNN
Hand detection is essential for many hand related tasks, e.g. parsing ha...
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GPU-FV: Realtime Fisher Vector and Its Applications in Video Monitoring
Fisher vector has been widely used in many multimedia retrieval and visu...
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Joint RNN Model for Argument Component Boundary Detection
Argument Component Boundary Detection (ACBD) is an important sub-task in...
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Crowdsourcing Argumentation Structures in Chinese Hotel Reviews
Argumentation mining aims at automatically extracting the premises-claim...
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Reinforcement Learning Based Argument Component Detection
Argument component detection (ACD) is an important sub-task in argumenta...
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Parallel energy-stable phase field crystal simulations based on domain decomposition methods
In this paper, we present a parallel numerical algorithm for solving the...
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Cutting Away the Confusion From Crowdtesting
Crowdtesting is effective especially when it comes to the feedback on GU...
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Effective Automated Decision Support for Managing Crowdtesting
Crowdtesting has grown to be an effective alter-native to traditional te...
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Crowdtesting : When is The Party Over?
Trade-offs such as "how much testing is enough" are critical yet challen...
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Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing
This paper proposes a neural semantic parsing approach -- Sequence-to-Ac...
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NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval
Pseudo-relevance feedback (PRF) is commonly used to boost the performanc...
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Sentence Rewriting for Semantic Parsing
A major challenge of semantic parsing is the vocabulary mismatch problem...
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Optimizing seed inputs in fuzzing with machine learning
The success of a fuzzing campaign is heavily depending on the quality of...
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Speeding up Deep Learning with Transient Servers
Distributed training frameworks, like TensorFlow, have been proposed as ...
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A Research and Strategy of Remote Sensing Image Denoising Algorithms
Most raw data download from satellites are useless, resulting in transmi...
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A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images
In recent years, with the development of aerospace technology, we use mo...
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Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis
In aspect-level sentiment classification (ASC), it is prevalent to equip...
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Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks
Sequential labeling-based NER approaches restrict each word belonging to...
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Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently
Existing hand detection methods usually follow the pipeline of multiple ...
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Cost-sensitive Regularization for Label Confusion-aware Event Detection
In supervised event detection, most of the mislabeling occurs between a ...
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A Comprehensive Formal Security Analysis and Revision of the Two-phase Key Exchange Primitive of TPM 2.0
The Trusted Platform Module (TPM) version 2.0, which has been demonstrat...
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Feedback-based, Automated Failure Testing of Microservice-based Applications
Modern distributed applications are moving toward a microservice archite...
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Puncturable Signatures and Applications in Proof-of-Stake Blockchain Protocol
Proof-of-stake (PoS) blockchain protocols are emerging as one of the mos...
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SiamMan: Siamese Motion-aware Network for Visual Tracking
In this paper, we present a novel siamese motion-aware network (SiamMan)...
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A Variational Staggered Particle Framework for Incompressible Free-Surface Flows
Smoothed particle hydrodynamics (SPH) has been extensively studied in co...
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PEL-BERT: A Joint Model for Protocol Entity Linking
Pre-trained models such as BERT are widely used in NLP tasks and are fin...
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Rethinking Object Detection in Retail Stores
The convention standard for object detection uses a bounding box to repr...
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Efficient Alternating Least Squares Algorithms for Truncated HOSVD of Higher-Order Tensors
The truncated Tucker decomposition, also known as the truncated higher-o...
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PFNN: A Penalty-Free Neural Network Method for Solving a Class of Second-Order Boundary-Value Problems on Complex Geometries
We present PFNN, a penalty-free neural network method, to efficiently so...
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A Rigourous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?
Fine-tuning pretrained model has achieved promising performance on stand...
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Adaptive SpMV/SpMSpV on GPUs for Input Vectors of Varied Sparsity
Despite numerous efforts for optimizing the performance of Sparse Matrix...
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Parallel energy-stable solver for a coupled Allen-Cahn and Cahn-Hilliard system
In this paper, we study numerical methods for solving the coupled Allen-...
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Fuzzing Based on Function Importance by Attributed Call Graph
Fuzzing has become one of the important methods for vulnerability detect...
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Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformation
A fundamental ability of humans is to utilize commonsense knowledge in l...
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"Brilliant AI Doctor" in Rural China: Tensions and Challenges in AI-Powered CDSS Deployment
Artificial intelligence (AI) technology has been increasingly used in th...
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