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05/10/2023
Fast Event-based Double Integral for Real-time Robotics
Motion deblurring is a critical ill-posed problem that is important in m...
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05/04/2023
How to Use Reinforcement Learning to Facilitate Future Electricity Market Design? Part 2: Method and Applications
This two-part paper develops a paradigmatic theory and detailed methods ...
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05/04/2023
How to Use Reinforcement Learning to Facilitate Future Electricity Market Design? Part 1: A Paradigmatic Theory
In face of the pressing need of decarbonization in the power sector, the...
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04/28/2023
Improving Knowledge Graph Entity Alignment with Graph Augmentation
Entity alignment (EA) which links equivalent entities across different k...
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08/22/2022
Aesthetics Driven Autonomous Time-Lapse Photography Generation by Virtual and Real Robots
Time-lapse photography is employed in movies and promotional films becau...
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05/07/2022
Applications of Reinforcement Learning in Deregulated Power Market: A Comprehensive Review
The increasing penetration of renewable generations, along with the dere...
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04/18/2022
Multi-scale Anomaly Detection for Big Time Series of Industrial Sensors
Given a multivariate big time series, can we detect anomalies as soon as...
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03/23/2022
Autofocus for Event Cameras
Focus control (FC) is crucial for cameras to capture sharp images in cha...
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01/13/2022
Learning Semantic Abstraction of Shape via 3D Region of Interest
In this paper, we focus on the two tasks of 3D shape abstraction and sem...
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11/25/2021
A novel time delay estimation algorithm of acoustic pyrometry for furnace
Acoustic pyrometry is a non-contact measurement technology for monitorin...
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09/22/2021
Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing
Recent years pretrained language models (PLMs) hit a success on several ...
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07/30/2021
High-Efficiency Resonant Beam Charging and Communication
Simultaneous wireless information and power transfer (SWIPT) has been en...
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07/11/2021
A Cloud-Edge-Terminal Collaborative System for Temperature Measurement in COVID-19 Prevention
To prevent the spread of coronavirus disease 2019 (COVID-19), preliminar...
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03/24/2021
Learning Fine-Grained Segmentation of 3D Shapes without Part Labels
Learning-based 3D shape segmentation is usually formulated as a semantic...
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03/11/2021
Robust 2D/3D Vehicle Parsing in CVIS
We present a novel approach to robustly detect and perceive vehicles in ...
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12/15/2020
Fine-Grained Vehicle Perception via 3D Part-Guided Visual Data Augmentation
Holistically understanding an object and its 3D movable parts through vi...
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11/04/2020
Deep Multimodality Learning for UAV Video Aesthetic Quality Assessment
Despite the growing number of unmanned aerial vehicles (UAVs) and aerial...
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10/20/2020
Self-Supervised Learning of Part Mobility from Point Cloud Sequence
Part mobility analysis is a significant aspect required to achieve a fun...
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09/28/2020
Incomplete Utterance Rewriting as Semantic Segmentation
Recent years the task of incomplete utterance rewriting has raised a lar...
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07/16/2020
PerMO: Perceiving More at Once from a Single Image for Autonomous Driving
We present a novel approach to detect, segment, and reconstruct complete...
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06/18/2020
Compositional Generalization by Learning Analytical Expressions
Compositional generalization is a basic but essential intellective capab...
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04/11/2020
You Impress Me: Dialogue Generation via Mutual Persona Perception
Despite the continuing efforts to improve the engagingness and consisten...
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02/03/2020
How Far are We from Effective Context Modeling ? An Exploratory Study on Semantic Parsing in Context
Recently semantic parsing in context has received a considerable attenti...
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11/25/2019
FLATM: A Fuzzy Logic Approach Topic Model for Medical Documents
One of the challenges for text analysis in medical domains is analyzing ...
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09/19/2019
A Split-and-Recombine Approach for Follow-up Query Analysis
Context-dependent semantic parsing has proven to be an important yet cha...
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07/11/2019
Aesthetic Attributes Assessment of Images
Image aesthetic quality assessment has been a relatively hot topic durin...
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03/10/2019
Shape2Motion: Joint Analysis of Motion Parts and Attributes from 3D Shapes
For the task of mobility analysis of 3D shapes, we propose joint analysi...
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09/13/2018
Learning to Group and Label Fine-Grained Shape Components
A majority of stock 3D models in modern shape repositories are assembled...
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03/07/2018
Improving Aviation Safety using Synthetic Vision System integrated with Eye-tracking Devices
By collecting the data of eyeball movement of pilots, it is possible to ...
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12/08/2017
Weaving Multi-scale Context for Single Shot Detector
Aggregating context information from multiple scales has been proved to ...
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05/02/2017