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08/09/2023
Prototypical Kernel Learning and Open-set Foreground Perception for Generalized Few-shot Semantic Segmentation
Generalized Few-shot Semantic Segmentation (GFSS) extends Few-shot Seman...
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07/18/2023
LOG-LIO: A LiDAR-Inertial Odometry with Efficient Local Geometric Information Estimation
Local geometric information, i.e. normal and point distribution, is cruc...
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05/30/2023
Language-Conditioned Imitation Learning with Base Skill Priors under Unstructured Data
The growing interest in language-conditioned robot manipulation aims to ...
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05/23/2023
DIVA: A Dirichlet Process Based Incremental Deep Clustering Algorithm via Variational Auto-Encoder
Generative model-based deep clustering frameworks excel in classifying c...
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04/30/2023
LIMOT: A Tightly-Coupled System for LiDAR-Inertial Odometry and Multi-Object Tracking
Simultaneous localization and mapping (SLAM) is critical to the implemen...
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04/29/2023
Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning
Meta-reinforcement learning enables artificial agents to learn from rela...
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04/24/2023
Efficient Halftoning via Deep Reinforcement Learning
Halftoning aims to reproduce a continuous-tone image with pixels whose i...
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04/18/2023
Safety Guaranteed Manipulation Based on Reinforcement Learning Planner and Model Predictive Control Actor
Deep reinforcement learning (RL) has been endowed with high expectations...
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04/12/2023
Towards Spatio-temporal Sea Surface Temperature Forecasting via Static and Dynamic Learnable Personalized Graph Convolution Network
Sea surface temperature (SST) is uniquely important to the Earth's atmos...
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03/31/2023
A Survey on Automated Program Repair Techniques
With the rapid development and large-scale popularity of program softwar...
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12/17/2022
Stateful Switch: Optimized Time Series Release with Local Differential Privacy
Time series data have numerous applications in big data analytics. Howev...
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12/15/2022
TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database
With an exponentially growing number of graphs from disparate repositori...
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12/06/2022
Towards human-compatible autonomous car: A study of non-verbal Turing test in automated driving with affective transition modelling
Autonomous cars are indispensable when humans go further down the hands-...
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11/02/2022
A Joint Framework Towards Class-aware and Class-agnostic Alignment for Few-shot Segmentation
Few-shot segmentation (FSS) aims to segment objects of unseen classes gi...
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09/21/2022
Learning from Symmetry: Meta-Reinforcement Learning with Symmetric Data and Language Instructions
Meta-reinforcement learning (meta-RL) is a promising approach that enabl...
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09/11/2022
Meta-Reinforcement Learning via Language Instructions
Although deep reinforcement learning has recently been very successful a...
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07/27/2022
Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce
E-commerce has gone a long way in empowering merchants through the inter...
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07/23/2022
Halftoning with Multi-Agent Deep Reinforcement Learning
Deep neural networks have recently succeeded in digital halftoning using...
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04/26/2022
Automation of Radiation Treatment Planning for Rectal Cancer
To develop an automated workflow for rectal cancer three-dimensional con...
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04/21/2022
A Learned Index for Exact Similarity Search in Metric Spaces
Indexing is an effective way to support efficient query processing in la...
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04/03/2022
BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster
Most AI projects start with a Python notebook running on a single laptop...
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11/30/2021
ColibriDoc: An Eye-in-Hand Autonomous Trocar Docking System
Retinal surgery is a complex medical procedure that requires exceptional...
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09/27/2021
A Biologically Inspired Global Localization System for Mobile Robots Using LiDAR Sensor
Localization in the environment is an essential navigational capability ...
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09/27/2021
A Biologically Inspired Simultaneous Localization and Mapping System Based on LiDAR Sensor
Simultaneous localization and mapping (SLAM) is one of the essential tec...
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09/22/2021
Towards Cognitive Navigation: Design and Implementation of a Biologically Inspired Head Direction Cell Network
As a vital cognitive function of animals, the navigation skill is first ...
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08/08/2021
Meta-Reinforcement Learning in Broad and Non-Parametric Environments
Recent state-of-the-art artificial agents lack the ability to adapt rapi...
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04/13/2021
Improving Long-Tailed Classification from Instance Level
Data in the real world tends to exhibit a long-tailed label distribution...
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10/13/2020
Context-Aware Drive-thru Recommendation Service at Fast Food Restaurants
Drive-thru is a popular sales channel in the fast food industry where co...
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09/14/2020
3D Object Detection and Tracking Based on Streaming Data
Recent approaches for 3D object detection have made tremendous progresse...
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07/27/2020
Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation
Reinforcement learning algorithms such as hindsight experience replay (H...
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05/02/2020
Large-scale Uncertainty Estimation and Its Application in Revenue Forecast of SMEs
The economic and banking importance of the small and medium enterprise (...
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03/10/2020
Indirect and Direct Training of Spiking Neural Networks for End-to-End Control of a Lane-Keeping Vehicle
Building spiking neural networks (SNNs) based on biological synaptic pla...
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12/05/2019
PhoneBit: Efficient GPU-Accelerated Binary Neural Network Inference Engine for Mobile Phones
Over the last years, a great success of deep neural networks (DNNs) has ...
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10/08/2019
A mathematical model of asynchronous data flow in parallel computers
We present a simplified model of data flow on processors in a high perfo...
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10/08/2019
A Discrete and Continuum Model of Data Flow
We present a simplified model of data flow on processors in a high perfo...
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04/16/2019
Energy-Efficient Slithering Gait Exploration for a Snake-like Robot based on Reinforcement Learning
Similar to their counterparts in nature, the flexible bodies of snake-li...
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08/17/2018
Towards Robotic Eye Surgery: Marker-free, Online Hand-eye Calibration using Optical Coherence Tomography Images
Ophthalmic microsurgery is known to be a challenging operation, which re...
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04/16/2018
BigDL: A Distributed Deep Learning Framework for Big Data
In this paper, we present BigDL, a distributed deep learning framework f...
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03/30/2017
