research
∙
09/05/2023
OHQ: On-chip Hardware-aware Quantization
Quantization emerges as one of the most promising approaches for deployi...
share
research
∙
08/31/2023
Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images
Stable diffusion, a generative model used in text-to-image synthesis, fr...
research
∙
07/11/2023
Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive Learning from Scores
Interactive reinforcement learning has shown promise in learning complex...
research
∙
06/21/2023
PrivSketch: A Private Sketch-based Frequency Estimation Protocol for Data Streams
Local differential privacy (LDP) has recently become a popular privacy-p...
research
∙
06/21/2023
HSR-Diff:Hyperspectral Image Super-Resolution via Conditional Diffusion Models
Despite the proven significance of hyperspectral images (HSIs) in perfor...
research
∙
06/02/2023
Federated Domain Generalization: A Survey
Machine learning typically relies on the assumption that training and te...
research
∙
05/17/2023
Asynchronous Grant-Free Random Access: Receiver Design with Partially Uni-Directional Message Passing and Interference Suppression Analysis
Massive Machine-Type Communications (mMTC) features a massive number of ...
research
∙
05/13/2023
Generalized Linear Systems with OAMP/VAMP Receiver: Achievable Rate and Coding Principle
The generalized linear system (GLS) has been widely used in wireless com...
research
∙
03/21/2023
Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection
In this paper, we propose a long-sequence modeling framework, named Stre...
research
∙
02/02/2023
Practical Bandits: An Industry Perspective
The bandit paradigm provides a unified modeling framework for problems t...
research
∙
02/01/2023
CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models
Code generation models based on the pre-training and fine-tuning paradig...
research
∙
12/11/2022
Focal-PETR: Embracing Foreground for Efficient Multi-Camera 3D Object Detection
The dominant multi-camera 3D detection paradigm is based on explicit 3D ...
research
∙
12/03/2022
Numerical simulation for the motions of nonautonomous solitary waves of a variable-coefficient forced Burgers equation via the lattice Boltzmann method
The lattice Boltzmann method (LBM) for the variable-coefficient forced B...
research
∙
11/11/2022
What's the Situation with Intelligent Mesh Generation: A Survey and Perspectives
Intelligent Mesh Generation (IMG) represents a novel and promising field...
research
∙
10/25/2022
Variational Bayesian Inference Clustering Based Joint User Activity and Data Detection for Grant-Free Random Access in mMTC
Tailor-made for massive connectivity and sporadic access, grant-free ran...
research
∙
10/20/2022
VideoPipe 2022 Challenge: Real-World Video Understanding for Urban Pipe Inspection
Video understanding is an important problem in computer vision. Currentl...
research
∙
09/14/2022
Analytics and Machine Learning Powered Wireless Network Optimization and Planning
It is important that the wireless network is well optimized and planned,...
research
∙
08/18/2022
Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization
Open-world instance segmentation (OWIS) aims to segment class-agnostic i...
research
∙
07/31/2022
Repairing ℰℒ Ontologies Using Weakening and Completing
The quality of ontologies in terms of their correctness and completeness...
research
∙
07/17/2022
Systematic assessment of the effects of space averaging and time averaging on weather forecast skill
Intuitively, one would expect a more skillful forecast if predicting wea...
research
∙
06/24/2022
Capacity Optimal Coded Generalized MU-MIMO
With the complication of future communication scenarios, most convention...
research
∙
06/04/2022
Missing data imputation for a multivariate outcome of mixed variable types
Data collected in clinical trials are often composed of multiple types o...
research
∙
04/04/2022
Clues in Tweets: Twitter-Guided Discovery and Analysis of SMS Spam
With its critical role in business and service delivery through mobile d...
research
∙
03/28/2022
Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing
This paper probes intrinsic factors behind typical failure cases (e.g. s...
research
∙
03/25/2022
EmotionNAS: Two-stream Architecture Search for Speech Emotion Recognition
Speech emotion recognition (SER) is a crucial research topic in human-co...
research
∙
02/16/2022
Understanding the Impact of the COVID-19 Pandemic on Transportation-related Behaviors with Human Mobility Data
The constrained outbreak of COVID-19 in Mainland China has recently been...
research
∙
01/19/2022
Swin-Pose: Swin Transformer Based Human Pose Estimation
Convolutional neural networks (CNNs) have been widely utilized in many c...
research
∙
11/30/2021
Parameter estimation for an Ornstein-Uhlenbeck Process driven by a general Gaussian noise with Hurst Parameter H∈ (0,1/2)
In Chen and Zhou 2021, they consider an inference problem for an Ornstei...
research
∙
11/22/2021
Capacity Optimal Generalized Multi-User MIMO: A Theoretical and Practical Framework
Conventional multi-user multiple-input multiple-output (MU-MIMO) mainly ...
research
∙
10/21/2021
3D-ANAS v2: Grafting Transformer Module on Automatically Designed ConvNet for Hyperspectral Image Classification
Hyperspectral image (HSI) classification has been a hot topic for decide...
research
∙
06/18/2021
A Vertical Federated Learning Framework for Horizontally Partitioned Labels
Vertical federated learning is a collaborative machine learning framewor...
research
∙
03/19/2021
DCF-ASN: Coarse-to-fine Real-time Visual Tracking via Discriminative Correlation Filter and Attentional Siamese Network
Discriminative correlation filters (DCF) and siamese networks have achie...
research
∙
02/10/2021
Adaptive Processor Frequency Adjustment for Mobile Edge Computing with Intermittent Energy Supply
With astonishing speed, bandwidth, and scale, Mobile Edge Computing (MEC...
research
∙
02/08/2021
A Histogram Thresholding Improvement to Mask R-CNN for Scalable Segmentation of New and Old Rural Buildings
Mapping new and old buildings are of great significance for understandin...
research
∙
01/12/2021
3D-ANAS: 3D Asymmetric Neural Architecture Search for Fast Hyperspectral Image Classification
Hyperspectral images involve abundant spectral and spatial information, ...
research
∙
12/25/2020
A GCICA Grant-Free Random Access Scheme for M2M Communications in Crowded Massive MIMO Systems
A high success rate of grant-free random access scheme is proposed to su...
research
∙
12/24/2020
Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration
Recently, much attention has been spent on neural architecture search (N...
research
∙
12/07/2020
Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning
Recently, hyperspectral image (HSI) classification approaches based on d...
research
∙
12/05/2020
Cirrus: A Long-range Bi-pattern LiDAR Dataset
In this paper, we introduce Cirrus, a new long-range bi-pattern LiDAR pu...
research
∙
11/25/2020
Robust Correlation Tracking via Multi-channel Fused Features and Reliable Response Map
Benefiting from its ability to efficiently learn how an object is changi...
research
∙
10/21/2020
UAV LiDAR Point Cloud Segmentation of A Stack Interchange with Deep Neural Networks
Stack interchanges are essential components of transportation systems. M...
research
∙
08/04/2020
Hyperspectral Image Classification with Spatial Consistence Using Fully Convolutional Spatial Propagation Network
In recent years, deep convolutional neural networks (CNNs) have shown im...
research
∙
07/24/2020
Locality-Aware Rotated Ship Detection in High-Resolution Remote Sensing Imagery Based on Multi-Scale Convolutional Network
Ship detection has been an active and vital topic in the field of remote...
research
∙
07/20/2020
Multispectral Pan-sharpening via Dual-Channel Convolutional Network with Convolutional LSTM Based Hierarchical Spatial-Spectral Feature Fusion
Multispectral pan-sharpening aims at producing a high resolution (HR) mu...
research
∙
07/11/2020
Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine
Public transportation plays a critical role in people's daily life. It h...
research
∙
05/20/2020
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Recently, the advancement of deep learning in discriminative feature lea...
research
∙
05/20/2020
User Activity Detection and Channel Estimation for Grant-Free Random Access in LEO Satellite-Enabled Internet-of-Things
With recent advances on the dense low-earth orbit (LEO) constellation, L...
research
∙
05/15/2020
FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction Network
Pedestrian intention recognition is very important to develop robust and...
research
∙
03/18/2020
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
Semantic segmentation of large-scale outdoor point clouds is essential f...
research
∙
03/12/2020