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07/17/2023
Bridging the Gap: Multi-Level Cross-Modality Joint Alignment for Visible-Infrared Person Re-Identification
Visible-Infrared person Re-IDentification (VI-ReID) is a challenging cro...
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07/03/2023
SSC3OD: Sparsely Supervised Collaborative 3D Object Detection from LiDAR Point Clouds
Collaborative 3D object detection, with its improved interaction advanta...
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03/17/2023
The Cascaded Forward Algorithm for Neural Network Training
Backpropagation algorithm has been widely used as a mainstream learning ...
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01/31/2023
Privacy Preserving Ultra-Short-term Wind Power Prediction Based on Secure Multi Party Computation
Mining the spatial and temporal correlation of wind farm output data is ...
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01/16/2023
Collaborative Perception in Autonomous Driving: Methods, Datasets and Challenges
Collaborative perception is essential to address occlusion and sensor fa...
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07/20/2022
Towards Transmission-Friendly and Robust CNN Models over Cloud and Device
Deploying deep convolutional neural network (CNN) models on ubiquitous I...
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06/23/2022
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization
Federated recommender system (FRS), which enables many local devices to ...
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03/01/2022
Boundary Corrected Multi-scale Fusion Network for Real-time Semantic Segmentation
Image semantic segmentation aims at the pixel-level classification of im...
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02/13/2022
LighTN: Light-weight Transformer Network for Performance-overhead Tradeoff in Point Cloud Downsampling
Compared with traditional task-irrelevant downsampling methods, task-ori...
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01/05/2022
Deep Probabilistic Graph Matching
Most previous learning-based graph matching algorithms solve the quadrat...
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01/05/2022
GLAN: A Graph-based Linear Assignment Network
Differentiable solvers for the linear assignment problem (LAP) have attr...
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12/19/2021
Camera-aware Style Separation and Contrastive Learning for Unsupervised Person Re-identification
Unsupervised person re-identification (ReID) is a challenging task witho...
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11/11/2021
Clicking Matters:Towards Interactive Human Parsing
In this work, we focus on Interactive Human Parsing (IHP), which aims to...
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10/21/2021
MSO: Multi-Feature Space Joint Optimization Network for RGB-Infrared Person Re-Identification
The RGB-infrared cross-modality person re-identification (ReID) task aim...
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10/18/2021
CMTR: Cross-modality Transformer for Visible-infrared Person Re-identification
Visible-infrared cross-modality person re-identification is a challengin...
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09/01/2021
Joint Graph Learning and Matching for Semantic Feature Correspondence
In recent years, powered by the learned discriminative representation vi...
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02/26/2021
A Universal Model for Cross Modality Mapping by Relational Reasoning
With the aim of matching a pair of instances from two different modaliti...
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02/22/2021
Attention Models for Point Clouds in Deep Learning: A Survey
Recently, the advancement of 3D point clouds in deep learning has attrac...
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01/24/2021
Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline
The control of traffic signals is fundamental and critical to alleviate ...
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11/21/2020
Robust Watermarking Using Inverse Gradient Attention
Watermarking is the procedure of encoding desired information into an im...
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10/30/2020
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising
In the past few decades, to reduce the risk of X-ray in computed tomogra...
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07/24/2020
CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations
As facial interaction systems are prevalently deployed, security and rel...
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02/25/2020
Cross-layer Feature Pyramid Network for Salient Object Detection
Feature pyramid network (FPN) based models, which fuse the semantics and...
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06/03/2019
HERA: Partial Label Learning by Combining Heterogeneous Loss with Sparse and Low-Rank Regularization
Partial Label Learning (PLL) aims to learn from the data where each trai...
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05/27/2019
Attention-based Supply-Demand Prediction for Autonomous Vehicles
As one of the important functions of the intelligent transportation syst...
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01/10/2019
GM-PLL: Graph Matching based Partial Label Learning
Partial Label Learning (PLL) aims to learn from the data where each trai...
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05/19/2017
