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07/18/2023
Domain Adaptation based Enhanced Detection for Autonomous Driving in Foggy and Rainy Weather
Typically, object detection methods for autonomous driving that rely on ...
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07/16/2023
S2R-ViT for Multi-Agent Cooperative Perception: Bridging the Gap from Simulation to Reality
Due to the lack of real multi-agent data and time-consuming of labeling,...
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06/26/2023
Deep Transfer Learning for Intelligent Vehicle Perception: a Survey
Deep learning-based intelligent vehicle perception has been developing p...
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03/14/2023
V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception
Modern perception systems of autonomous vehicles are known to be sensiti...
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02/10/2023
Semi-supervised Large-scale Fiber Detection in Material Images with Synthetic Data
Accurate detection of large-scale, elliptical-shape fibers, including th...
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12/16/2022
Learning for Vehicle-to-Vehicle Cooperative Perception under Lossy Communication
Deep learning has been widely used in the perception (e.g., 3D object de...
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11/09/2022
Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review
Computer vision applications in intelligent transportation systems (ITS)...
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10/27/2022
Domain Adaptive Object Detection for Autonomous Driving under Foggy Weather
Most object detection methods for autonomous driving usually assume a co...
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10/16/2022
Bridging the Domain Gap for Multi-Agent Perception
Existing multi-agent perception algorithms usually select to share deep ...
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09/16/2022
Weakly Supervised Semantic Segmentation via Progressive Patch Learning
Most of the existing semantic segmentation approaches with image-level c...
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09/16/2022
Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation
Generating precise class-aware pseudo ground-truths, a.k.a, class activa...
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07/05/2022
Features Based Adaptive Augmentation for Graph Contrastive Learning
Self-Supervised learning aims to eliminate the need for expensive annota...
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05/04/2022
Pik-Fix: Restoring and Colorizing Old Photos
Restoring and inpainting the visual memories that are present, but often...
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03/22/2022
Exploring High-Order Structure for Robust Graph Structure Learning
Recent studies show that Graph Neural Networks (GNNs) are vulnerable to ...
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02/05/2022
ROMNet: Renovate the Old Memories
Renovating the memories in old photos is an intriguing research topic in...
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01/05/2022
SMDT: Selective Memory-Augmented Neural Document Translation
Existing document-level neural machine translation (NMT) models have suf...
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05/19/2021
Do Models Learn the Directionality of Relations? A New Evaluation Task: Relation Direction Recognition
Deep neural networks such as BERT have made great progress in relation c...
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12/15/2020
A New Many-Objective Evolutionary Algorithm Based on Determinantal Point Processes
To handle different types of Many-Objective Optimization Problems (MaOPs...
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06/30/2020
Online Dynamic Network Embedding
Network embedding is a very important method for network data. However, ...
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05/21/2019
