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IFTR: An Instance-Level Fusion Transformer for Visual Collaborative Perception

Autor: Wang, Shaohong, Bin, Lu, Xiao, Xinyu, Xiang, Zhiyu, Shan, Hangguan, Liu, Eryun

Multi-agent collaborative perception has emerged as a widely recognized technology in the field of autonomous driving in recent years. However, current collaborative perception predominantly relies on LiDAR point clouds, with significantly less atten

Externí odkaz: http://arxiv.org/abs/2407.09857

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A Two-stage Based Social Preference Recognition in Multi-Agent Autonomous Driving System

Autor: Xue, Jintao, Zhang, Dongkun, Xiong, Rong, Wang, Yue, Liu, Eryun

Multi-Agent Reinforcement Learning (MARL) has become a promising solution for constructing a multi-agent autonomous driving system (MADS) in complex and dense scenarios. But most methods consider agents acting selfishly, which leads to conflict behav

Externí odkaz: http://arxiv.org/abs/2310.03303

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Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow

Autor: Zhang, Dongkun, Xue, Jintao, Cui, Yuxiang, Wang, Yunkai, Liu, Eryun, Jing, Wei, Chen, Junbo, Xiong, Rong, Wang, Yue

Acquiring driving policies that can transfer to unseen environments is challenging when driving in dense traffic flows. The design of traffic flow is essential and previous studies are unable to balance interaction and safety-criticism. To tackle thi

Externí odkaz: http://arxiv.org/abs/2304.12821

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Adaptive Base-class Suppression and Prior Guidance Network for One-Shot Object Detection

Autor: Zhang, Wenwen, Xiao, Xinyu, Shan, Hangguan, Liu, Eryun

One-shot object detection (OSOD) aims to detect all object instances towards the given category specified by a query image. Most existing studies in OSOD endeavor to explore effective cross-image correlation and alleviate the semantic feature misalig

Externí odkaz: http://arxiv.org/abs/2303.14240

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C2CL: Contact to Contactless Fingerprint Matching

Autor: Grosz, Steven A., Engelsma, Joshua J., Liu, Eryun, Jain, Anil K.

Matching contactless fingerprints or finger photos to contact-based fingerprint impressions has received increased attention in the wake of COVID-19 due to the superior hygiene of the contactless acquisition and the widespread availability of low cos

Externí odkaz: http://arxiv.org/abs/2104.02811

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