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Profil bibliographique

Jie Qin

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

357Publications signalées
6836Citations signalées
2Affiliations récentes

Les institutions déclarées

Les domaines associés

Domain Adaptation and Few-Shot LearningVideo Surveillance and Tracking MethodsAdvanced Neural Network ApplicationsAdvanced Image and Video Retrieval TechniquesHuman Pose and Action Recognition

Les publications récentes

Accès ouvert 2026 article OpenAlex

Predicting fuzzy topological indices from crisp indices in hexagonal and honeycomb networks using linear regression

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)

0 citations Scientific Reports
Accès ouvert 2026 conference-paper OpenAlex

PRISM: Preference-Guided Semantic Reasoning with Vision-Language Models for Object Goal Navigation

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)

0 citations
Accès ouvert 2026 preprint OpenAlex

Object Referring-Guided Scanpath Prediction with Perception-Enhanced Vision-Language Models

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)

0 citations arXiv (Cornell University)
2026 article OpenAlex

DP-Retinex: Dual-Prior Guided Low-Light Image Enhancement With YUV-Domain Reflectance-Illumination Decomposition

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)

0 citations IEEE Transactions on Circuits and Systems for Video Technology
Accès ouvert 2025 preprint OpenAlex

History-Enhanced Two-Stage Transformer for Aerial Vision-and-Language Navigation

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 …

0 citations arXiv (Cornell University)
Accès ouvert 2025 preprint OpenAlex

STAR: STacked AutoRegressive Scheme for Unified Multimodal Learning

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 …

0 citations arXiv (Cornell University)
2025 conference-paper OpenAlex

DCN: Decoupled-Coupled Network for Text-based Person Search

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)

2 citations

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