Disco4D: Towards Prior-Free Motion Representation Learning for Point Cloud Videos Via Self-Disentangled Contrastive Pre-Training
Zhi Zuo, Chenyi Zhuang, Pan Gao, Jie Qin et autres
cn, it (code pays fourni par la source)
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Zhi Zuo, Chenyi Zhuang, Pan Gao, Jie Qin et autres
cn, it (code pays fourni par la source)
Jie Qin, Shamaila Yousaf, Mamoona Waris, Anisa Naeem et autres
Classical (crisp) graph models fail to capture uncertainty inherent in real-world networks, whereas fuzzy topological indices provide a richer description but are computationally expensive. This study investigates whether fuzzy topological indices can be accurately predicted from their crisp counterparts using machine learning. …
cn, pk (code pays fourni par la source)
Chengzheng Fu, Rong Quan, Siyu Chen, Yiming Ni et autres
cn (code pays fourni par la source)
Zijian Liu, Cong Pan, Chengjie Fan, Wanjie Cai et autres
Object Goal Navigation (ObjectNav) requires an agent to locate a target object in unseen environments based on partial visual observations. A central challenge lies in reasoning about where the target is likely to appear under semantic uncertainty, sparse observations, and ambiguous scene …
cn (code pays fourni par la source)
Rong Quan, Yantao Lai, Dong Liang, Jie Qin
cn (code pays fourni par la source)
Rong Quan, Yantao Lai, Dong Liang, Jie Qin
Object Referring-guided Scanpath Prediction (ORSP) aims to predict the human attention scanpath when they search for a specific target object in a visual scene according to a linguistic description describing the object. Multimodal information fusion is a key point of ORSP. Therefore, …
cn (code pays fourni par la source)
Zhengkai Zhao, Longmi Gao, Pan Gao, Jie Qin
Accurate estimation of reflectance and illumination maps in the Retinex framework remains a significant challenge for low-light image enhancement due to inherent decomposition ambiguity. To address this, we propose DualPrior-Retinex, a novel framework that, inspired by Retinex theory, leverages the practical advantages …
cn (code pays fourni par la source)
Wutao Liu, Yao Yuan, Pan Gao, Zheng Lin et autres
cn (code pays fourni par la source)
Xichen Ding, Jianzhe Gao, Cong Pan, Wenguan Wang et autres
Aerial Vision-and-Language Navigation (AVLN) requires Unmanned Aerial Vehicle (UAV) agents to localize targets in large-scale urban environments based on linguistic instructions. While successful navigation demands both global environmental reasoning and local scene comprehension, existing UAV agents typically adopt mono-granularity frameworks that struggle …
Jie Qin, Jiancheng Huang, Limeng Qiao, Lin Ma
Multimodal large language models (MLLMs) play a pivotal role in advancing the quest for general artificial intelligence. However, achieving unified target for multimodal understanding and generation remains challenging due to optimization conflicts and performance trade-offs. To effectively enhance generative performance while preserving …
Zhiyuan Qi, Rong Quan, L.i-Ming Su, Yizhen Jia et autres
Text-based person search aims to identify a person based on textual descriptions, by simultaneously addressing person detection and cross-modal alignment between text queries and person images. Existing approaches often struggle with conflicts in exploiting proposals across these two sub-tasks. Specifically, cross-modal alignment …
cn (code pays fourni par la source)
Ri Chen, Jie Qin, Ziliang Chen, Jinyang Liu et autres
cn, ca (code pays fourni par la source)
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