551 citations · 966 across the 62 of their papers we have counts for
14 papers · 1 filter
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Sixiao Zheng, Jiachen Lu, Hengshuang Zhao +8
Most recent semantic segmentation methods adopt a fully-convolutional network (FCN) with an encoder-decoder architecture. The encoder progressively reduces the spatial resolution a…
Whose hand is this? Person Identification from Egocentric Hand Gestures
Satoshi Tsutsui, Yanwei Fu, David Crandall
Recognizing people by faces and other biometrics has been extensively studied in computer vision. But these techniques do not work for identifying the wearer of an egocentric (firs…
Data-efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions
Jianan Wang, Boyang Li, Xiangyu Fan +2
The task of video and text sequence alignment is a prerequisite step toward joint understanding of movie videos and screenplays. However, supervised methods face the obstacle of li…
Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition
Yuqian Fu, Li Zhang, Junke Wang +2
Humans can easily recognize actions with only a few examples given, while the existing video recognition models still heavily rely on the large-scale labeled data inputs. This obse…
M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging
Xuelin Qian, Huazhu Fu, Weiya Shi +4
To counter the outbreak of COVID-19, the accurate diagnosis of suspected cases plays a crucial role in timely quarantine, medical treatment, and preventing the spread of the pandem…
A New Screening Method for COVID-19 based on Ocular Feature Recognition by Machine Learning Tools
Yanwei Fu, Feng Li, Wenxuan Wang +4
The Coronavirus disease 2019 (COVID-19) has affected several million people. With the outbreak of the epidemic, many researchers are devoting themselves to the COVID-19 screening s…