IVMSP-P32.5
WHEN LARGE VISION-LANGUAGE MODELS MEET PERSON RE-IDENTIFICATION
Qizao Wang, Bin Li, Xiangyang Xue, Fudan University, China
Session:
IVMSP-P32: Vision-Language Models Poster
Track:
Image, Video and Multidimensional Signal Processing [IV]
Location:
Poster Area 14
Presentation Time:
Thu, 7 May, 14:00 - 16:00
Presentation
Discussion
Resources
No resources available.
Session IVMSP-P32
IVMSP-P32.1: PHONEME-LEVEL VISUAL SPEECH RECOGNITION VIA POINT-VISUAL FUSION AND LANGUAGE MODEL RECONSTRUCTION
Matthew Kit Khinn Teng, Haibo Zhang, Takeshi Saitoh, Kyushu Institute of Technology, Japan
IVMSP-P32.2: Fake-HR1: Rethinking Reasoning of vision language model for Synthetic Image Detection
Changjiang Jiang, Wuhan University, China; Xinkuan Sha, AntGroup, China; Fengchang Yu, Wuhan University, China; Jingjing Liu, Jian Liu, Mingqi Fang, AntGroup, China; Chenfeng Zhang, Zhejiang university, China; Wei Lu, Wuhan University, China
IVMSP-P32.3: AERIAL VIDEO ACTION RECOGNITION WITH PRETRAINED VISION-LANGUAGE MODEL
Yungeng Zhang, Yuan Chang, Zijian Cao, Xiaohou Shi, Yaqi Song, Feng Wang, Mingchuan Yang, China Telecom Research Institute, China
IVMSP-P32.4: END-TO-END STORY VISUALIZATION FRAMEWORK WITH PENALTY-BASED EVALUATION USING VISION-LANGUAGE MODELS
Lizheng Zu, Shenzhen University, China; Yaoqing Jin, University of Stuttgart, Germany; Siyi Cao, University College Cork, Germany; Shiwei Suo, Harbin Institute of Technology, China; Haoxin Lyu, Beijing Institute of Technology, China; Song Fu, Harbin Institute of Technology, China; Hui Sun, Nankai University, China; Hao Zhang, University of Chinese Academy of Sciences, China
IVMSP-P32.5: WHEN LARGE VISION-LANGUAGE MODELS MEET PERSON RE-IDENTIFICATION
Qizao Wang, Bin Li, Xiangyang Xue, Fudan University, China
IVMSP-P32.6: ENHANCE BALANCE BETWEEN GENERALIZATION AND PERSONALIZATION FOR VISION-LANGUAGE MODELS IN FEDERATED LEARNING
Ziyun Cai, Yizhou Lu, Nanjing University of Posts and Telecommunications, China; Yawen Huang, Tencent Jarvis Lab, China; Jie Song, Ye Liu, Nanjing University of Posts and Telecommunications, China; Xiao-Yuan Jing, Nanjing University, China
IVMSP-P32.7: MFA-Align: Aligning by Disagreeing for Efficient and Low-Cost Personalized Alignment of Aesthetic VLLMs
Feifan Min, Dongmei Zhang, Haiyang Zhang, Shuai He, Anlong Ming, Beijing University Of Posts and Telecommunications, China
IVMSP-P32.8: ROBUST GROUNDING WITH MLLMS AGAINST OCCLUSION AND SMALL OBJECTS VIA LANGUAGE-GUIDED SEMANTIC CUES
Beomchan Park, Seongho Kim, Hyunjun Kim, Sungjune Park, Yong Man Ro, KAIST, Korea, Republic of
IVMSP-P32.9: MLLM-EMPOWERED ACTIVE LEARNING WITH GENERATED ATTRIBUTES FOR MICROSCOPIC ALGAE IMAGE CLASSIFICATION
Lufei Gao, Li Liu, Danny Hin Kwok Tsang, Irene M. C. Lo, The Hong Kong University of Science and Technology (Guangzhou), China
IVMSP-P32.10: RO-BENCH: LARGE-SCALE ROBUSTNESS EVALUATION OF MLLMS WITH TEXT-DRIVEN COUNTERFACTUAL VIDEOS
Zixi Yang, Jiapeng Li, Muxi Diao, Yinuo Jing, Kongming Liang, Beijing University of Posts and Telecommunications, China
Contacts