Titlebook: Computer Vision – ACCV 2022 Workshops; 16th Asian Conferenc Yinqiang Zheng,Hacer Yalim Keleş,Piotr Koniusz Conference proceedings 2023 The

尖叫

比目鱼

A Transformer-Based Model for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma wlearning transformer-based model on multi-modality MRI to tackle the preoperative early recurrence prediction task of HCC. Enlightened by the vigorous capacity of context modeling of the transformer architecture, our proposed model exploits it to dig out the inter-modality correlations, and the perf

quiet-sleep

Gingivitis

FAPN: Face Alignment Propagation Network for Face Video Super-Resolutionemise of ensuring authenticity. The existing video super-resolution (VSR) technology usually uses inter-frame information to achieve better super-resolution (SR) performance. However, due to the complex temporal dependence between frames, as the number of input frames increases, the information cann

Nomadic

Micro-expression Recognition Using a Shallow ConvLSTM-Based Networkds focus on the use of spatial features to perform micro-expression recognition. Thus, they fail to capture the spatiotemporal information available in a video sequence..This paper proposes a shallow convolutional long short-term memory (ConvLSTM) based network to perform micro-expression recognitio

悬崖

ADVFilter: Adversarial Example Generated by Perturbing Optical Pathesult, the security of DNN system has attracted great attention from the community. In typical scenes, the input images of DNN are collected through the camera. In this paper, we propose a new type of security threat, which attacks a DNN classifier by perturbing the optical path of the camera input