Computer Vision – ACCV 2022 Workshops: 16th Asian Conference on Computer Vision, Macao, China, December 4–8, 2022, Revised Selected Papers

382 Pages·2023·84.245 MB·English

by  Yinqiang Zheng, Hacer Yalim Keleş, Piotr Koniusz

Yinqiang Zheng
Hacer Yalim Keles
Piotr Koniusz (Eds.)
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8 Computer Vision –
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16th Asian Conference on Computer Vision
Macao, China, December 4–8, 2022
Revised Selected Papers
Lecture Notes in Computer Science 13848
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JurisHartmanis
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ElisaBertino,PurdueUniversity,WestLafayette,IN,USA
WenGao,PekingUniversity,Beijing,China
BernhardSteffen ,TUDortmundUniversity,Dortmund,Germany
MotiYung ,ColumbiaUniversity,NewYork,NY,USA
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Yinqiang Zheng · Hacer Yalim Keles¸ ·
Piotr Koniusz
Editors
Computer Vision –
ACCV 2022 Workshops
16th Asian Conference on Computer Vision
Macao, China, December 4–8, 2022
Revised Selected Papers
Editors
YinqiangZheng HacerYalimKeles¸
UniversityofTokyo HacettepeUniversity
Tokyo,Japan Ankara,Turkey
PiotrKoniusz
Data61/CSIRO
Canberra,ACT,Australia
ISSN 0302-9743 ISSN 1611-3349 (electronic)
LectureNotesinComputerScience
ISBN 978-3-031-27065-9 ISBN 978-3-031-27066-6 (eBook)
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Preface
Workshopsofthe16thAsianConferenceonComputerVision(ACCV)2022wereheld
in a hybrid mode in Macau SAR, China during December 4–8, 2022. We present the
workshopproceedingsfromeightsuccessfullyheldworkshopsonavarietyofselected
topicswhichenjoyedmanyattendees.Thenumberofacceptedworkshops(10intotal)
waslargerthaninthepreviousconferencesasACCV2022washeldinahybridmode
tomitigatechallengesposedbytheCOVID-19pandemicbywelcomingvirtualandin-
personattendees.Indeed,thisfacilitatednumerouspapersubmissionsandthediscussion
on a variety of timely topics. 25 papers were accepted given 40 submissions in total
following the double-blind review process with 3.3 reviewers (on average) per paper.
Theacceptedworkshopswereofexcellentquality.
ThelistofeightworkshopsandonegrandchallengeheldinconjunctionwithACCV
2022isasfollows:
(cid:129) LearningwithLimitedDataforFaceAnalysis
(cid:129) AdversarialMachineLearningTowardsAdvancedVisionSystems
(cid:129) Multi-viewLearningandItsApplicationsinComputerVision
(cid:129) ComputerVisionTechnologyinElectricPowerSystem
(cid:129) ComputerVisionforMedicalComputing
(cid:129) MachineLearningandComputingforVisualSemanticAnalysis
(cid:129) VisionTransformers:TheoryandApplications
(cid:129) ChallengesofFine-GrainedImageAnalysis
(cid:129) DeepLearning-BasedSmallObjectDetectionfromImagesandVideos
The workshops primarily covered topics in high-level computer vision, as well as
modern applications of computer vision. All workshops and the grand challenge had
invitedspeakersessions,whereleadingresearchersgaveinsightfultalks.Sixworkshops
acceptedpapersfortheseproceedings.Twoworkshopshostedchallengesandpresented
theirresultsintheirsessions,andsomeevenarrangedcashawardsforthebestpapers.We
thankalltheworkshoporganizersfortheireffortstoprepareandhostthesesuccessful
events,especiallyinthechallengingenvironmentofhybridmodehosting.Wehopethey
continue to hold their workshops in future ACCVs. We thank the reviewers for their
valuablefeedbackforpaperauthors.Wealsothankthepublicationchairsforcollating
thepaperspresentedintheworkshopstopreparetheworkshopproceedings.
January2023 YinqiangZheng
HacerYalimKeles¸
PiotrKoniusz
Organization
Learningwith LimitedDataforFaceAnalysis
PingLiu A*STAR,Singapore
YueweiLin BrookhavenNationalLaboratory,USA
ZiboMeng OPPOUSResearchCenter,USA
YaweiLuo ZhejiangUniversity,China
ShangfeiWang UniversityofScienceandTechnologyofChina,
China
JoeyTianyiZhou A*STAR,Singapore
AdversarialMachineLearningTowardsAdvancedVisionSystems
MinhuiXue Data61/CSIRO,Australia
HuamingChen UniversityofSydney,Australia
Multi-viewLearningandItsApplicationsinComputerVision
XinwangLiu NationalUniversityofDefenseTechnology,
China
ChangTang ChinaUniversityofGeosciences,Wuhan,China
MariusKloft TUKaiserslautern,Germany
XiaojunChang UniversityofTechnologySydney,Australia
TongliangLiu UniversityofSydney,Australia
ComputerVisionTechnologyinElectricPowerSystem
WenqingZhao NorthChinaElectricPowerUniversity,Baoding,
China
YongjieZhai NorthChinaElectricPowerUniversity,Baoding,
China
ZhenbingZhao NorthChinaElectricPowerUniversity,Baoding,
China
viii Organization
ComputerVisionforMedicalComputing
ImranRazzak UniversityofNewSouthWales,Australia
XuequanLu DeakinUniversity,Australia
YuejieZhang FudanUniversity,China
MachineLearningandComputingforVisualSemanticAnalysis
Xian-HuaHan YamaguchiUniversity,Japan
YongQingSun NTT,Japan
RahulKumarJain RitsumeikanUniversity,Japan
VisionTransformers:TheoryandApplications
FahadShahbazKhan MBZUAI,UnitedArabEmirates
SalmanKhan MBZUAI,UnitedArabEmirates
RaoMuhammadAnswer MBZUAI,UnitedArabEmirates
HishamCholakkal MBZUAI,UnitedArabEmirates
MuhammadHarisKhan MBZUAI,UnitedArabEmirates
ChallengesofFine-GrainedImageAnalysis
Xiu-ShenWei NanjingUniversityofScienceandTechnology,
China
PengWang UniversityofWollongong,Australia
HuanWang NanjingUniversityofScienceandTechnology,
China
ZerenSun NanjingUniversityofScienceandTechnology,
China
YangShen NanjingUniversityofScienceandTechnology,
China
Deep Learning-Based Small Object Detection from Images
andVideos
ArefMiriRekavandi UniversityofWesternAustralia,Australia
LianXu UniversityofWesternAustralia,Australia
FaridBoussaid UniversityofWesternAustralia,Australia
Organization ix
Abd-KrimSeghouane UniversityofWesternAustralia,Australia
MohammedBennamoun UniversityofWesternAustralia,Australia
Contents
LearningwithLimitedDataforFaceAnalysis
FAPN: Face Alignment Propagation Network for Face Video
Super-Resolution ...................................................... 3
SigeBian, HeLi, FengYu, JiyuanLiu, SongChangjun,
andYongmingTang
Micro-expression Recognition Using a Shallow ConvLSTM-Based
Network ............................................................. 19
SauravShukla,PrabodhKantRai,andTanmayT.Verlekar
AdversarialMachineLearningTowardsAdvancedVisionSystems
ADVFilter:AdversarialExampleGeneratedbyPerturbingOpticalPath ....... 33
LiliZhangandXiaodongWang
EnhancingFederatedLearningRobustnessThroughClusteringNon-IID
Features .............................................................. 45
YanliLi,AbubakarSadiqSani,DongYuan,andWeiBao
TowardsImprovingtheAnti-attackCapabilityoftheRangeNet++ ............ 60
QingguoZhou,MingLei,PengZhi,RuiZhao,JunShen,andBinbinYong
ComputerVisionforMedicalComputing
EnsembleModelofVisualTransformerandCNNHelpsBADiagnosis
forDoctorsinUnderdevelopedAreas .................................... 73
ZhenghaoWei
UnderstandingTumorMicroEnvironmentUsingGraphTheory .............. 90
KinzaRohail,SabaBashir,HazratAli,TanvirAlam,SheheryarKhan,
JiaWu,PingjunChen,andRizwanQureshi
HandlingDomainShiftforLesionDetectionviaSemi-supervisedDomain
Adaptation ........................................................... 102
ManuSheoran,MonikaSharma,MeghalDani,andLovekeshVig