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08/30/2023
GlassMessaging: Supporting Messaging Needs During Daily Activities Using OST-HMDs
The act of communicating with others during routine daily tasks is both ...
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08/08/2023
SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition
Event camera-based pattern recognition is a newly arising research topic...
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08/06/2023
Recurrent Spike-based Image Restoration under General Illumination
Spike camera is a new type of bio-inspired vision sensor that records li...
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06/12/2023
MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting
Long-term time series forecasting plays an important role in various rea...
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06/08/2023
Point-Voxel Absorbing Graph Representation Learning for Event Stream based Recognition
Sampled point and voxel methods are usually employed to downsample the d...
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02/28/2023
Adaptive Hybrid Spatial-Temporal Graph Neural Network for Cellular Traffic Prediction
Cellular traffic prediction is an indispensable part for intelligent tel...
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11/20/2022
Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric
Combining the Color and Event cameras (also called Dynamic Vision Sensor...
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11/18/2022
A greedy randomized average block projection method for linear feasibility problems
The randomized projection (RP) method is a simple iterative scheme for s...
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11/17/2022
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors
The main streams of human activity recognition (HAR) algorithms are deve...
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11/02/2022
Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-similarity
Most of the existing learning-based deraining methods are supervisedly t...
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08/15/2022
On minimum contrast method for multivariate spatial point processes
The minimum contrast (MC) method, as compared to the likelihood-based me...
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07/07/2022
Mirror Complementary Transformer Network for RGB-thermal Salient Object Detection
RGB-thermal salient object detection (RGB-T SOD) aims to locate the comm...
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07/02/2022
Noise and Edge Based Dual Branch Image Manipulation Detection
Unlike ordinary computer vision tasks that focus more on the semantic co...
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05/26/2022
Prompt-based Learning for Unpaired Image Captioning
Unpaired Image Captioning (UIC) has been developed to learn image descri...
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04/19/2022
Network Topology Optimization via Deep Reinforcement Learning
Topology impacts important network performance metrics, including link u...
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02/09/2022
GenAD: General Representations of Multivariate Time Seriesfor Anomaly Detection
The reliability of wireless base stations in China Mobile is of vital im...
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01/25/2022
Event-based Video Reconstruction via Potential-assisted Spiking Neural Network
Neuromorphic vision sensor is a new bio-inspired imaging paradigm that r...
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11/01/2021
Adaptive Multi-receptive Field Spatial-Temporal Graph Convolutional Network for Traffic Forecasting
Mobile network traffic forecasting is one of the key functions in daily ...
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08/28/2021
The promise and perils of point process models of political events
Event data are increasingly common in applied political science research...
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07/21/2021
On the Modulus in Matching Vector Codes
A k-query locally decodable code (LDC) C allows one to encode any n-symb...
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06/07/2021
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning
We introduce a method based on deep metric learning to perform Bayesian ...
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04/08/2020
Smart Prediction of the Complaint Hotspot Problem in Mobile Network
In mobile network, a complaint hotspot problem often affects even thousa...
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12/20/2019
An Efficient Coding Method for Spike Camera using Inter-Spike Intervals
Recently, a novel bio-inspired spike camera has been proposed, which con...
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07/20/2019
A Retina-inspired Sampling Method for Visual Texture Reconstruction
Conventional frame-based camera is not able to meet the demand of rapid ...
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05/24/2019
HDI-Forest: Highest Density Interval Regression Forest
By seeking the narrowest prediction intervals (PIs) that satisfy the spe...
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02/13/2019
Session-based Sequential Skip Prediction via Recurrent Neural Networks
The focus of WSDM cup 2019 is session-based sequential skip prediction, ...
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02/12/2019
A Domain Generalization Perspective on Listwise Context Modeling
As one of the most popular techniques for solving the ranking problem in...
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06/03/2016
A Graph-Based Semi-Supervised k Nearest-Neighbor Method for Nonlinear Manifold Distributed Data Classification
k Nearest Neighbors (kNN) is one of the most widely used supervised lear...
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04/27/2014