IVMSP-P4.8
FLOW INTELLIGENCE: ROBUST FEATURE MATCHING VIA TEMPORAL SIGNATURE CORRELATION
Jie Wang, Caoqi Wei, CHEN YE GAN, Tsinghua University, China; Jiangtao Wen, New York University, United States of America; Yuxing Han, Tsinghua University, United States of America
Session:
IVMSP-P4: New Machine Learning Approaches Poster
Track:
Image, Video and Multidimensional Signal Processing [IV]
Location:
Poster Area 18
Presentation Time:
Tue, 5 May, 14:00 - 16:00
Presentation
Discussion
Resources
No resources available.
Session IVMSP-P4
IVMSP-P4.1: Progressive Thinking for Lane Detection: Holistic Priors to Focused Refinement
Yanlin Jiang, Yuchen Liu, Beijing University of Technology, China; Mingren Liu, University of Toronto, Canada
IVMSP-P4.2: GRIT: GROUNDING THROUGH REASONING AND ITERATIVE THINKING IN ADVERSE WEATHER
Yuwei Zhang, Yan Wu, Aoqi Wu, Tongji University, China; Xinyue Peng, outheast University, China; Yanming Liu, Zhejiang University, China
IVMSP-P4.3: DIRCR: Dual-Inference Rule-Contrastive Reasoning for Solving RAVENs
Jiachen Zhang, Chengtai Li, Jianfeng Ren, University of Nottingham Ningbo China, China; Linlin Shen, Shenzhen University, China; Zheng Lu, Ruibin Bai, University of Nottingham Ningbo China, China
IVMSP-P4.4: SEMAMIL: SEMANTIC-AWARE MULTIPLE INSTANCE LEARNING WITH RETRIEVAL-GUIDED STATE SPACE MODELING FOR WHOLE SLIDE IMAGES
Lubin Gan, Xiaoman Wu, University of Science and Technology of China, China; Zhifeng Wang, National University of Defense Technology, China; Linhao Qu, Fudan University, China; Siying Wu, Jing Zhang, Anhui Province Key Laboratory of Biomedical Imaging and Intelligent Processing,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, China; Xiaoyan Sun, University of Science and Technology of China, China
IVMSP-P4.5: TAML: TASK-AWARE METRIC-DRIVEN META LEARNING FOR FEW-SHOT ACTION RECOGNITION
Wentao Wu, Yilong Zhang, Shuo Zheng, Xinnan Zhu, Yizhe Chen, Yuanjie Dang, Zhejiang University of Technology, China
IVMSP-P4.6: ONLINE CONTINUAL CATEGORY LEARNING WITH INVARIANT PROTOTYPES
Guanglu Wang, Xinyue Liu, Wentao Yang, Senqi Guan, Hongning Liu, Wenxin Liang, Xianchao Zhang, Dalian University of Technology, China
IVMSP-P4.7: Incomplete vocabulary learning for fine-grained visual recognition
Gaurab Bhattacharya, Riya Sadrani, Jayavardhana Gubbi, Tata Consultancy Services, India
IVMSP-P4.8: FLOW INTELLIGENCE: ROBUST FEATURE MATCHING VIA TEMPORAL SIGNATURE CORRELATION
Jie Wang, Caoqi Wei, CHEN YE GAN, Tsinghua University, China; Jiangtao Wen, New York University, United States of America; Yuxing Han, Tsinghua University, United States of America
IVMSP-P4.9: CPMIL: COMPOUND PROTOTYPE-BASED MULTIPLE INSTANCE LEARNING FOR WHOLE SLIDE IMAGE CLASSIFICATION
Shenjin Huang, Faculty of Computing, Harbin Institute of Technology, Harbin, China., China; Linghan Cai, School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China., China; Hailun Cheng, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China., China; Guojun Liu, Faculty of Computing, Harbin Institute of Technology, Harbin, China., China; Yongbing Zhang, School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China., China
IVMSP-P4.10: COLLABORATIVE OPTIMIZATION OF LEARNABLE PROBE TOKENS AND ATTRIBUTE TEXT PROMPTS FOR LOW-RESOLUTION FINE-GRAINED VISUAL CLASSIFICATION
Tiantian Yan, Jiexiang Fang, Dongsheng Zhou, Dalian University, China; Qiang Zhang, Xin Yang, Dalian University of Technology, China
Contacts