44 citations · 50 across the 14 of their papers we have counts for
13 papers · 1 filter
GeoChrono: Benchmarking and Rethinking Long-Term Temporal Understanding in Remote Sensing
Yujie Li, Jiancheng Pan, Zhiwei Wei +3
Remote sensing offers an unparalleled vantage point for observing the Earth's long-term surface evolution, yet it demands that a model not only perceive land cover at isolated mome…
Self in Space: Benchmarking Self-Awareness and Spatial Cognition in UAV Embodied Intelligence
Zhishan Zou, Guoyan Sun, Zhiwei Wei +4
Autonomous UAV systems increasingly rely on multimodal large language models (MLLMs) to operate in complex real-world environments. Such embodied scenarios require not only underst…
The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results
Xingyu Qiu, Yuqian Fu, Jiawei Geng +70
Cross-domain few-shot object detection (CD-FSOD) remains a challenging problem for existing object detectors and few-shot learning approaches, particularly when generalizing across…
Exo2EgoSyn: Unlocking Foundation Video Generation Models for Exocentric-to-Egocentric Video Synthesis
Mohammad Mahdi, Yuqian Fu, Nedko Savov +3
Foundation video generation models such as WAN 2.2 exhibit strong text- and image-conditioned synthesis abilities but remain constrained to the same-view generation setting. In thi…
V-SAM: Marrying SAM2 with Multi-Prompt Experts for Cross-View Object Correspondence
Jiancheng Pan, Runze Wang, Tianwen Qian +7
Cross-view object correspondence, exemplified by the representative task of ego-exo object correspondence, aims to establish consistent associations of the same object across diffe…
Epistemic-aware Vision-Language Foundation Model for Fetal Ultrasound Interpretation
Xiao He, Huangxuan Zhao, Guojia Wan +8
Recent medical vision-language models have shown promise on tasks such as VQA, report generation, and anomaly detection. However, most are adapted to structured adult imaging and u…
Semantic-Aware Ship Detection with Vision-Language Integration
Jiahao Li, Jiancheng Pan, Yuze Sun +1
Ship detection in remote sensing imagery is a critical task with wide-ranging applications, such as maritime activity monitoring, shipping logistics, and environmental studies. How…
EarthSynth: Generating Informative Earth Observation with Diffusion Models
Jiancheng Pan, Shiye Lei, Yuqian Fu +7
Remote sensing image (RSI) interpretation typically faces challenges due to the scarcity of labeled data, which limits the performance of RSI interpretation tasks. To tackle this c…
NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results
Yuqian Fu, Xingyu Qiu, Bin Ren +59
Cross-Domain Few-Shot Object Detection (CD-FSOD) poses significant challenges to existing object detection and few-shot detection models when applied across domains. In conjunction…
Enhance Then Search: An Augmentation-Search Strategy with Foundation Models for Cross-Domain Few-Shot Object Detection
Jiancheng Pan, Yanxing Liu, Xiao He +4
Foundation models pretrained on extensive datasets, such as GroundingDINO and LAE-DINO, have performed remarkably in the cross-domain few-shot object detection (CD-FSOD) task. Thro…
Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community
Jiancheng Pan, Yanxing Liu, Yuqian Fu +5
Object detection, particularly open-vocabulary object detection, plays a crucial role in Earth sciences, such as environmental monitoring, natural disaster assessment, and land-use…
PriorCLIP: Visual Prior Guided Vision-Language Model for Remote Sensing Image-Text Retrieval
Jiancheng Pan, Muyuan Ma, Qing Ma +2
Remote sensing image-text retrieval plays a crucial role in remote sensing interpretation, yet remains challenging under both closed-domain and open-domain scenarios due to semanti…
Direction-Oriented Visual-semantic Embedding Model for Remote Sensing Image-text Retrieval
Qing Ma, Jiancheng Pan, Cong Bai
Image-text retrieval has developed rapidly in recent years. However, it is still a challenge in remote sensing due to visual-semantic imbalance, which leads to incorrect matching o…