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08/30/2023
An Improved Greedy Curvature Bound in Finite-Horizon String Optimization with Application to a Sensor Coverage Problem
We study the optimization problem of choosing strings of finite length t...
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08/06/2023
Early Detection and Localization of Pancreatic Cancer by Label-Free Tumor Synthesis
Early detection and localization of pancreatic cancer can increase the 5...
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07/03/2023
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection
Anomaly detection in multivariate time series data is of paramount impor...
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06/16/2023
Linear convergence of Nesterov-1983 with the strong convexity
For modern gradient-based optimization, a developmental landmark is Nest...
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06/13/2023
Temporal Gradient Inversion Attacks with Robust Optimization
Federated Learning (FL) has emerged as a promising approach for collabor...
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06/01/2023
EduChain: A Blockchain-based Education Data Management System
The predominant centralized paradigm in educational data management curr...
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05/29/2023
Quantum variational embedding for ground-state energy problems: sum of squares and cluster selection
We introduce a sum-of-squares SDP hierarchy approximating the ground-sta...
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05/18/2023
Causal Document-Grounded Dialogue Pre-training
The goal of document-grounded dialogue (DocGD) is to generate a response...
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04/17/2023
Tool Learning with Foundation Models
Humans possess an extraordinary ability to create and utilize tools, all...
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03/20/2023
Tracker Meets Night: A Transformer Enhancer for UAV Tracking
Most previous progress in object tracking is realized in daytime scenes ...
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03/18/2023
Crowd Counting with Online Knowledge Learning
Efficient crowd counting models are urgently required for the applicatio...
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12/13/2022
Linear Convergence of ISTA and FISTA
In this paper, we revisit the class of iterative shrinkage-thresholding ...
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11/26/2022
Siamese Object Tracking for Vision-Based UAM Approaching with Pairwise Scale-Channel Attention
Although the manipulating of the unmanned aerial manipulator (UAM) has b...
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11/25/2022
BatmanNet: Bi-branch Masked Graph Transformer Autoencoder for Molecular Representation
Although substantial efforts have been made using graph neural networks ...
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11/21/2022
PVT++: A Simple End-to-End Latency-Aware Visual Tracking Framework
Visual object tracking is an essential capability of intelligent robots....
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11/21/2022
CGoDial: A Large-Scale Benchmark for Chinese Goal-oriented Dialog Evaluation
Practical dialog systems need to deal with various knowledge sources, no...
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11/14/2022
Learning to Model Multimodal Semantic Alignment for Story Visualization
Story visualization aims to generate a sequence of images to narrate eac...
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11/03/2022
Proximal Subgradient Norm Minimization of ISTA and FISTA
For first-order smooth optimization, the research on the acceleration ph...
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10/23/2022
Towards Generalizable and Robust Text-to-SQL Parsing
Text-to-SQL parsing tackles the problem of mapping natural language ques...
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10/21/2022
STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing
In this paper, we propose a novel SQL guided pre-training framework STAR...
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09/15/2022
Graph-to-Text Generation with Dynamic Structure Pruning
Most graph-to-text works are built on the encoder-decoder framework with...
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09/14/2022
SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers
This paper aims to improve the performance of text-to-SQL parsing by exp...
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09/08/2022
Lightweight Long-Range Generative Adversarial Networks
In this paper, we introduce novel lightweight generative adversarial net...
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08/15/2022
Memory-Driven Text-to-Image Generation
We introduce a memory-driven semi-parametric approach to text-to-image g...
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08/03/2022
Word-Level Fine-Grained Story Visualization
Story visualization aims to generate a sequence of images to narrate eac...
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06/28/2022
Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing
The importance of building text-to-SQL parsers which can be applied to n...
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06/23/2022
Universal Learned Image Compression With Low Computational Cost
Recently, learned image compression methods have developed rapidly and e...
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05/31/2022
Vector-wise Joint Diagonalization of Almost Commuting Matrices
This work aims to numerically construct exactly commuting matrices close...
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05/12/2022
A Smart Contract based Crowdfunding Mechanism for Hierarchical Federated Learning
Hierarchical Federated Learning (HFL) is introduced as a promising techn...
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03/14/2022
S^2SQL: Injecting Syntax to Question-Schema Interaction Graph Encoder for Text-to-SQL Parsers
The task of converting a natural language question into an executable SQ...
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10/12/2021
Accurate and Generalizable Quantitative Scoring of Liver Steatosis from Ultrasound Images via Scalable Deep Learning
Background Aims: Hepatic steatosis is a major cause of chronic liver...
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09/27/2021
FedIPR: Ownership Verification for Federated Deep Neural Network Models
Federated learning models must be protected against plagiarism since the...
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08/19/2021
Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception
Perceptual quality assessment of the videos acquired in the wilds is of ...
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07/31/2021
HiFT: Hierarchical Feature Transformer for Aerial Tracking
Most existing Siamese-based tracking methods execute the classification ...
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07/30/2021
DarkLighter: Light Up the Darkness for UAV Tracking
Recent years have witnessed the fast evolution and promising performance...
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07/09/2021
Unity Perception: Generate Synthetic Data for Computer Vision
We introduce the Unity Perception package which aims to simplify and acc...
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06/29/2021
An adaptive edge element method and its convergence for an electromagnetic constrained optimal control problem
In this work, an adaptive edge element method is developed for an H(curl...
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06/16/2021
SiamAPN++: Siamese Attentional Aggregation Network for Real-Time UAV Tracking
Recently, the Siamese-based method has stood out from multitudinous trac...
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06/04/2021
ADTrack: Target-Aware Dual Filter Learning for Real-Time Anti-Dark UAV Tracking
Prior correlation filter (CF)-based tracking methods for unmanned aerial...
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05/21/2021
Programming and Deployment of Autonomous Swarms using Multi-Agent Reinforcement Learning
Autonomous systems (AS) carry out complex missions by continuously obser...
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04/12/2021
Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings
Depending on the application, radiological diagnoses can be associated w...
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03/08/2021
Predictive Visual Tracking: A New Benchmark and Baseline Approach
As a crucial robotic perception capability, visual tracking has been int...
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01/21/2021
All-Day Object Tracking for Unmanned Aerial Vehicle
Visual object tracking, which is representing a major interest in image ...
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11/11/2020
On a general matrix valued unbalanced optimal transport and its fully discretization: dynamic formulation and convergence framework
In this work, we present a rather general class of transport distances o...
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10/23/2020
Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation
We propose a novel lightweight generative adversarial network for effici...
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10/19/2020
Heads-up! Unsupervised Constituency Parsing via Self-Attention Heads
Transformer-based pre-trained language models (PLMs) have dramatically i...
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10/13/2020
Correlation Filter for UAV-Based Aerial Tracking: A Review and Experimental Evaluation
Aerial tracking, which has exhibited its omnipresent dedication and sple...
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08/07/2020
Reliable Liver Fibrosis Assessment from Ultrasound using Global Hetero-Image Fusion and View-Specific Parameterization
Ultrasound (US) is a critical modality for diagnosing liver fibrosis. Un...
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07/20/2020
Knowledge Graph Extraction from Videos
Nearly all existing techniques for automated video annotation (or captio...
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02/12/2020
