WP1.L1.1
Special Session Paper

Learn by an Example Transformer for Domain Generalization in Video Object Segmentation

Islam Osman, Mohamed Shehata, University of British Columbia, Canada
Session:
WP1.L1: Predictable and Trustworthy Deep Learning Algorithms for Moving Object Detection for Challenging Environments Lecture
Track:
Special Sessions
Location:
Capital Suite - 13
Presentation Time:
Wed, 30 Oct, 14:30 - 14:48 Gulf Standard Time (UTC +4)
Session Chair:
Thierry Bouwmans, La Rochelle Université, France
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Session WP1.L1
Special Session Paper
WP1.L1.1: Learn by an Example Transformer for Domain Generalization in Video Object Segmentation
Islam Osman, Mohamed Shehata, University of British Columbia, Canada
 Special Session Paper
WP1.L1.2: EDGE-GUIDED PIXEL LEVEL CONNECTED COMPONENT ASSISTED CAMOUFLAGED OBJECT DETECTION
Qingwang Wang, Xin Qu, Liyao Zhou, Pengcheng Jin, Chengbiao Fu, Tao Shen, Kunming University of Science and Technology, China
 Special Session Paper
WP1.L1.3: LUMINATE: LINGUISTIC UNDERSTANDING AND MULTI-GRANULARITY INTERACTION FOR VIDEO OBJECT SEGMENTATION
Rahul Tekchandani, Ritik Maheshwari, GEC Ajmer, India; Praful Hambarde, IIT Ropar, India; Satya Narayan Tazi, GEC Ajmer, India; SANTOSH VIPPARTHI, INDIAN INSTITUTE OF TECHNOLOGY ROPAR, India; Subrahmanyam Murala, Trinity College Dublin, Ireland
WP1.L1.4: BI-DIRECTIONAL TRACKLET EMBEDDING FOR MULTI-OBJECT TRACKING
H. Çağrı Bilgi, A. Aydın Alatan, Middle East Technical University, Türkiye
WP1.L1.5: A CONFIDENCE-AWARE MATCHING STRATEGY FOR GENERALIZED MULTI-OBJECT TRACKING
Kyujin Shim, Jubi Hwang, Kangwook Ko, Changick Kim, Korea Advanced Institute of Science and Technology (KAIST), Korea, Republic of
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