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09/14/2023
Adaptive Prompt Learning with Distilled Connective Knowledge for Implicit Discourse Relation Recognition
Implicit discourse relation recognition (IDRR) aims at recognizing the d...
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08/02/2023
A Hyper-pixel-wise Contrastive Learning Augmented Segmentation Network for Old Landslide Detection Using High-Resolution Remote Sensing Images and Digital Elevation Model Data
As a harzard disaster, landslide often brings tremendous losses to human...
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07/23/2023
ES2Net: An Efficient Spectral-Spatial Network for Hyperspectral Image Change Detection
Hyperspectral image change detection (HSI-CD) aims to identify the diffe...
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07/19/2023
Learner Referral for Cost-Effective Federated Learning Over Hierarchical IoT Networks
The paradigm of federated learning (FL) to address data privacy concerns...
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07/19/2023
DAPrompt: Deterministic Assumption Prompt Learning for Event Causality Identification
Event Causality Identification (ECI) aims at determining whether there i...
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07/17/2023
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection
Multivariate time-series anomaly detection is critically important in ma...
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06/15/2023
Edit-DiffNeRF: Editing 3D Neural Radiance Fields using 2D Diffusion Model
Recent research has demonstrated that the combination of pretrained diff...
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05/29/2023
Volume Feature Rendering for Fast Neural Radiance Field Reconstruction
Neural radiance fields (NeRFs) are able to synthesize realistic novel vi...
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05/18/2023
TEPrompt: Task Enlightenment Prompt Learning for Implicit Discourse Relation Recognition
Implicit Discourse Relation Recognition (IDRR) aims at classifying the r...
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03/15/2023
MRGAN360: Multi-stage Recurrent Generative Adversarial Network for 360 Degree Image Saliency Prediction
Thanks to the ability of providing an immersive and interactive experien...
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03/08/2023
X-Pruner: eXplainable Pruning for Vision Transformers
Recently vision transformer models have become prominent models for a ra...
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03/07/2023
Multiscale Tensor Decomposition and Rendering Equation Encoding for View Synthesis
Rendering novel views from captured multi-view images has made considera...
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02/24/2023
An Iterative Classification and Semantic Segmentation Network for Old Landslide Detection Using High-Resolution Remote Sensing Images
Huge challenges exist for old landslide detection because their morpholo...
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02/07/2023
Boosting Zero-shot Classification with Synthetic Data Diversity via Stable Diffusion
Recent research has shown it is possible to perform zero-shot classifica...
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10/28/2022
Bi-Directional Iterative Prompt-Tuning for Event Argument Extraction
Recently, prompt-tuning has attracted growing interests in event argumen...
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07/27/2022
Meta-Interpolation: Time-Arbitrary Frame Interpolation via Dual Meta-Learning
Existing video frame interpolation methods can only interpolate the fram...
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07/12/2022
eX-ViT: A Novel eXplainable Vision Transformer for Weakly Supervised Semantic Segmentation
Recently vision transformer models have become prominent models for a ra...
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06/30/2022
DFGC 2022: The Second DeepFake Game Competition
This paper presents the summary report on our DFGC 2022 competition. The...
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05/13/2022
Unsupervised Representation Learning for 3D MRI Super Resolution with Degradation Adaptation
High-resolution (HR) MRI is critical in assisting the doctor's diagnosis...
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04/15/2022
Spatio-Temporal-Frequency Graph Attention Convolutional Network for Aircraft Recognition Based on Heterogeneous Radar Network
This paper proposes a knowledge-and-data-driven graph neural network-bas...
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03/06/2022
A Survey of Implicit Discourse Relation Recognition
A discourse containing one or more sentences describes daily issues and ...
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01/18/2022
DDU-Net: Dual-Decoder-U-Net for Road Extraction Using High-Resolution Remote Sensing Images
Extracting roads from high-resolution remote sensing images (HRSIs) is v...
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08/27/2021
TE-YOLOF: Tiny and efficient YOLOF for blood cell detection
Blood cell detection in microscopic images is an essential branch of med...
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05/20/2021
DPN-SENet:A self-attention mechanism neural network for detection and diagnosis of COVID-19 from chest x-ray images
Background and Objective: The new type of coronavirus is also called COV...
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05/20/2021
AGSFCOS: Based on attention mechanism and Scale-Equalizing pyramid network of object detection
Recently, the anchor-free object detection model has shown great potenti...
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02/17/2021
Towards Memristive Deep Learning Systems for Real-time Mobile Epileptic Seizure Prediction
The unpredictability of seizures continues to distress many people with ...
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01/22/2021
Performance Analysis for Cache-enabled Cellular Networks with Cooperative Transmission
The large amount of deployed smart devices put tremendous traffic pressu...
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01/21/2021
Probabilistic Placement Optimization for Non-coherent and Coherent Joint Transmission in Cache-Enabled Cellular Networks
How to design proper content placement strategies is one of the major ar...
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12/12/2020
Internet of Underwater Things and Big Marine Data Analytics – A Comprehensive Survey
The Internet of Underwater Things (IoUT) is an emerging communication ec...
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07/22/2020
FASTSWARM: A Data-driven FrAmework for Real-time Flying InSecT SWARM Simulation
Insect swarms are common phenomena in nature and therefore have been act...
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02/22/2020
Anypath Routing Protocol Design via Q-Learning for Underwater Sensor Networks
As a promising technology in the Internet of Underwater Things, underwat...
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02/07/2020
Dynamic Energy Dispatch in Isolated Microgrids Based on Deep Reinforcement Learning
This paper focuses on deep reinforcement learning (DRL)-based energy dis...
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01/08/2020
Training Progressively Binarizing Deep Networks Using FPGAs
While hardware implementations of inference routines for Binarized Neura...
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06/19/2019
Multi-user Resource Control with Deep Reinforcement Learning in IoT Edge Computing
By leveraging the concept of mobile edge computing (MEC), massive amount...
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06/02/2019
A Survey of Asynchronous Programming Using Coroutines in the Internet of Things and Embedded Systems
Many Internet of Things and embedded projects are event-driven, and ther...
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05/15/2019
Accelerating Deterministic and Stochastic Binarized Neural Networks on FPGAs Using OpenCL
Recent technological advances have proliferated the available computing ...
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12/28/2018
Basis Signal Optimization for N-Continuous OFDM
A novel basis signal optimization method is proposed for interference re...
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12/02/2018
Heter-Sim: Heterogeneous multi-agent systems simulation by interactive data-driven optimization
Interactive multi-agent simulation algorithms are used to compute the tr...
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07/27/2017
Context-aware Single-Shot Detector
SSD is one of the state-of-the-art object detection algorithms, and it c...
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10/26/2012
