most citedNTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV20251 cited

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…

cs.CV2025

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…