MP2.PC.1
LEVERAGING OPTICAL FLOW FEATURES FOR HIGHER GENERALIZATION POWER IN VIDEO OBJECT SEGMENTATION
Yushan Zhang, Andreas Robinson, Maria Magnusson, Michael Felsberg, Linköping University, Sweden
Session:
MP2.PC: Image and Video Segmentation Poster
Track:
Applications of Machine Learning
Location:
Poster Area C
Presentation Time:
Mon, 9 Oct, 16:30 - 18:00 Malaysia Time (UTC +8)
Session Chair:
Cosmin Ancuti, UCL
Session MP2.PC
MP2.PC.1: LEVERAGING OPTICAL FLOW FEATURES FOR HIGHER GENERALIZATION POWER IN VIDEO OBJECT SEGMENTATION
Yushan Zhang, Andreas Robinson, Maria Magnusson, Michael Felsberg, Linköping University, Sweden
MP2.PC.2: SCENE TEXT SEGMENTATION BY PAIRED DATA SYNTHESIS
Quang-Vinh Dang, Guee-Sang Lee, Chonnam National University, Korea, Republic of
MP2.PC.3: LEVERAGING VISUAL PROMPTS TO GUIDE LANGUAGE MODELING FOR REFERRING VIDEO OBJECT SEGMENTATION
Qiqi Gao, Harbin Institute of Technology, China; Wanjun Zhong, Sun Yat-sen University, China; Jie Li, Tiejun Zhao, Harbin Institute of Technology, China
MP2.PC.4: ROBUST WIND TURBINE BLADE SEGMENTATION FROM RGB IMAGES IN THE WILD
Raül Pérez-Gonzalo, Consejo Superior de Investigaciones Científicas, Universitat Politècnica de Catalunya / Wind Power LAB, Spain; Andreas Espersen, Wind Power LAB, Denmark; Antonio Agudo, Consejo Superior de Investigaciones Científicas, Universitat Politècnica de Catalunya, Spain
MP2.PC.5: TSANET: TEMPORAL AND SCALE ALIGNMENT FOR UNSUPERVISED VIDEO OBJECT SEGMENTATION
Seunghoon Lee, Suhwan Cho, Dogyoon Lee, Minhyeok Lee, Sangyoun Lee, Yonsei University, Korea, Republic of
MP2.PC.6: OCVOS: Object-Centric Representation for Video Object Segmentation
Junho Jo, Seoul National University, Korea, Republic of; Dongyoon Wee, Naver Cloud, Korea, Republic of; Nam Ik Cho, Seoul National University, Korea, Republic of
MP2.PC.7: CAN HUMAN ATTRIBUTE SEGMENTATION BE MORE ROBUST TO OPERATIONAL CONTEXTS WITHOUT NEW LABELS?
Hejer Ammar, Angelique Loesch, Corentin Vannier, Romaric Audigier, CEA, France
MP2.PC.8: IMPROVEMENT OF IMAGE SEGMENTATION MODEL FOR HANDWRITTEN NOTEBOOK ANALYTICS
Yunyu Zhou, Tsubasa Minematsu, Atsushi Shimada, Kyushu University, Japan
MP2.PC.9: TRICKVOS: A BAG OF TRICKS FOR VIDEO OBJECT SEGMENTATION
Evangelos Skartados, Konstantinos Georgiadis, CERTH, Greece; Mehmet Kerim Yucel, Samsung Research UK, United Kingdom of Great Britain and Northern Ireland; Koskinas Ioannis, Armando Domi, Anastasios Drosou, CERTH, Greece; Bruno Manganelli, Albert Saa-Garriga, Samsung Research UK, United Kingdom of Great Britain and Northern Ireland
MP2.PC.10: A DIFFERENTIABLE GAUSSIAN PROTOTYPE LAYER FOR EXPLAINABLE FRUIT SEGMENTATION
Michael Gerstenberger, Steffen Maaß, Peter Eisert, Sebastian Bosse, Fraunhofer Heinrich-Hertz-Institute, Germany
Contacts