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09/03/2023
Optimizing Mobile-Edge AI-Generated Everything (AIGX) Services by Prompt Engineering: Fundamental, Framework, and Case Study
As the next-generation paradigm for content creation, AI-Generated Conte...
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08/22/2023
Efficient View Synthesis with Neural Radiance Distribution Field
Recent work on Neural Radiance Fields (NeRF) has demonstrated significan...
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08/19/2023
ILCAS: Imitation Learning-Based Configuration-Adaptive Streaming for Live Video Analytics with Cross-Camera Collaboration
The high-accuracy and resource-intensive deep neural networks (DNNs) hav...
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08/10/2023
Beyond Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization
Generative Diffusion Models (GDMs) have emerged as a transformative forc...
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08/08/2023
LATR: 3D Lane Detection from Monocular Images with Transformer
3D lane detection from monocular images is a fundamental yet challenging...
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07/20/2023
WeakPolyp: You Only Look Bounding Box for Polyp Segmentation
Limited by expensive pixel-level labels, polyp segmentation models are p...
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07/14/2023
A Tutorial on Extremely Large-Scale MIMO for 6G: Fundamentals, Signal Processing, and Applications
Extremely large-scale multiple-input-multiple-output (XL-MIMO), which of...
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07/07/2023
Over-the-Air Computation in OFDM Systems with Imperfect Channel State Information
This paper studies the over-the-air computation (AirComp) in an orthogon...
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07/07/2023
Universal Semi-supervised Model Adaptation via Collaborative Consistency Training
In this paper, we introduce a realistic and challenging domain adaptatio...
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07/05/2023
Multi-IRS-Enabled Integrated Sensing and Communications
This paper studies a multi-intelligent-reflecting-surface-(IRS)-enabled ...
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06/27/2023
Energy-Efficient MIMO Integrated Sensing and Communications with On-off Non-transmission Power
This paper investigates the energy efficiency of a multiple-input multip...
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06/16/2023
AUGUST: an Automatic Generation Understudy for Synthesizing Conversational Recommendation Datasets
High-quality data is essential for conversational recommendation systems...
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06/06/2023
YONA: You Only Need One Adjacent Reference-frame for Accurate and Fast Video Polyp Detection
Accurate polyp detection is essential for assisting clinical rectal canc...
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06/05/2023
Integrated Sensing, Computation, and Communication for UAV-assisted Federated Edge Learning
Federated edge learning (FEEL) enables privacy-preserving model training...
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05/22/2023
Zero-shot Multi-level Feature Transmission Policy Powered by Semantic Knowledge Base
Remote zero-shot object recognition, i.e., offloading zero-shot object r...
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05/17/2023
Optimized Joint Beamforming for Wireless Powered Over-the-Air Computation
This correspondence studies the wireless powered over-the-air computatio...
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04/23/2023
Hierarchical Weight Averaging for Deep Neural Networks
Despite the simplicity, stochastic gradient descent (SGD)-like algorithm...
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04/20/2023
SCoDA: Domain Adaptive Shape Completion for Real Scans
3D shape completion from point clouds is a challenging task, especially ...
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04/05/2023
Semantic Communications for Image Recovery and Classification via Deep Joint Source and Channel Coding
With the recent advancements in edge artificial intelligence (AI), futur...
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04/03/2023
Crossword: A Semantic Approach to Data Compression via Masking
The traditional methods for data compression are typically based on the ...
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03/21/2023
An Effective Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds
3D single object tracking in LiDAR point clouds (LiDAR SOT) plays a cruc...
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03/10/2023
MVImgNet: A Large-scale Dataset of Multi-view Images
Being data-driven is one of the most iconic properties of deep learning ...
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03/06/2023
Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane Features
Existing neural radiance fields (NeRF) methods for large-scale scene mod...
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03/05/2023
HairStep: Transfer Synthetic to Real Using Strand and Depth Maps for Single-View 3D Hair Modeling
In this work, we tackle the challenging problem of learning-based single...
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01/12/2023
Adaptive Context Selection for Polyp Segmentation
Accurate polyp segmentation is of great significance for the diagnosis a...
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01/03/2023
Benchmarking the Robustness of LiDAR Semantic Segmentation Models
When using LiDAR semantic segmentation models for safety-critical applic...
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12/15/2022
Output-Dependent Gaussian Process State-Space Model
Gaussian process state-space model (GPSSM) is a fully probabilistic stat...
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12/09/2022
MIMO Is All You Need : A Strong Multi-In-Multi-Out Baseline for Video Prediction
The mainstream of the existing approaches for video prediction builds up...
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12/07/2022
BoxPolyp:Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations
Accurate polyp segmentation is of great importance for colorectal cancer...
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12/02/2022
Geometry-Aware Network for Domain Adaptive Semantic Segmentation
Measuring and alleviating the discrepancies between the synthetic (sourc...
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11/10/2022
MoNET: Tackle State Momentum via Noise-Enhanced Training for Dialogue State Tracking
Dialogue state tracking (DST) aims to convert the dialogue history into ...
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11/04/2022
Pushing AI to Wireless Network Edge: An Overview on Integrated Sensing, Communication, and Computation towards 6G
Pushing artificial intelligence (AI) from central cloud to network edge ...
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10/11/2022
CSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking
Few-shot dialogue state tracking (DST) is a realistic problem that train...
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10/09/2022
Let Images Give You More:Point Cloud Cross-Modal Training for Shape Analysis
Although recent point cloud analysis achieves impressive progress, the p...
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10/04/2022
APAUNet: Axis Projection Attention UNet for Small Target in 3D Medical Segmentation
In 3D medical image segmentation, small targets segmentation is crucial ...
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09/21/2022
Performance Optimization for Variable Bitwidth Federated Learning in Wireless Networks
This paper considers improving wireless communication and computation ef...
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09/13/2022
M^2-3DLaneNet: Multi-Modal 3D Lane Detection
Estimating accurate lane lines in 3D space remains challenging due to th...
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08/17/2022
Performance Optimization for Semantic Communications: An Attention-based Reinforcement Learning Approach
In this paper, a semantic communication framework is proposed for textua...
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08/11/2022
An Overview on Over-the-Air Federated Edge Learning
Over-the-air federated edge learning (Air-FEEL) has emerged as a promisi...
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08/08/2022
Where Are You Looking?: A Large-Scale Dataset of Head and Gaze Behavior for 360-Degree Videos and a Pilot Study
360 videos in recent years have experienced booming development. Compare...
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08/07/2022
Low-Latency Cooperative Spectrum Sensing via Truncated Vertical Federated Learning
In recent years, the exponential increase in the demand of wireless data...
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08/01/2022
Composable Text Control Operations in Latent Space with Ordinary Differential Equations
Real-world text applications often involve composing a wide range of tex...
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07/18/2022
Towards High-Fidelity Single-view Holistic Reconstruction of Indoor Scenes
We present a new framework to reconstruct holistic 3D indoor scenes incl...
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07/05/2022
Toward Explainable and Fine-Grained 3D Grounding through Referring Textual Phrases
Recent progress on 3D scene understanding has explored visual grounding ...
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07/03/2022
Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI
This paper studies a new multi-device edge artificial-intelligent (AI) s...
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06/13/2022
Toward Ambient Intelligence: Federated Edge Learning with Task-Oriented Sensing, Computation, and Communication Integration
In this paper, we address the problem of joint sensing, computation, and...
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05/20/2022
6G Network AI Architecture for Everyone-Centric Customized Services
Mobile communication standards were developed for enhancing transmission...
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05/19/2022
Service Delay Minimization for Federated Learning over Mobile Devices
Federated learning (FL) over mobile devices has fostered numerous intrig...
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05/19/2022
Coexistence between Task- and Data-Oriented Communications: A Whittle's Index Guided Multi-Agent Reinforcement Learning Approach
We investigate the coexistence of task-oriented and data-oriented commun...
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05/09/2022
