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20212024
most citedDetecting Log Anomalies with Multi-Head Attention (LAMA)

6 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2024★ 2 cited

Light-weight Retinal Layer Segmentation with Global Reasoning

Xiang He, Weiye Song, Yiming Wang +6

Automatic retinal layer segmentation with medical images, such as optical coherence tomography (OCT) images, serves as an important tool for diagnosing ophthalmic diseases. However…

cs.CV2023★ 1 cited

Survey on video anomaly detection in dynamic scenes with moving cameras

Runyu Jiao, Yi Wan, Fabio Poiesi +1

The increasing popularity of compact and inexpensive cameras, e.g.~dash cameras, body cameras, and cameras equipped on robots, has sparked a growing interest in detecting anomalies…

cs.CV2023

Attentive Multimodal Fusion for Optical and Scene Flow

Youjie Zhou, Guofeng Mei, Yiming Wang +2

This paper presents an investigation into the estimation of optical and scene flow using RGBD information in scenarios where the RGB modality is affected by noise or captured in da…

cs.CV2021★ 2 cited

Loop closure detection using local 3D deep descriptors

Youjie Zhou, Yiming Wang, Fabio Poiesi +2

We present a simple yet effective method to address loop closure detection in simultaneous localisation and mapping using local 3D deep descriptors (L3Ds). L3Ds are emerging compac…

cs.LG2021★ 6 cited

Detecting Log Anomalies with Multi-Head Attention (LAMA)

Yicheng Guo, Yujin Wen, Congwei Jiang +2

Anomaly detection is a crucial and challenging subject that has been studied within diverse research areas. In this work, we explore the task of log anomaly detection (especially c…