76 citations · 120 across the 12 of their papers we have counts for
13 papers
SynCLIP: Synonym-Coherent Language-Image Pretraining for Robust Open-Vocabulary Dense Perception
Mingjie Xie, Guangjun He, Dongli Xu +5
Open-vocabulary dense perception (OVDP) aims to localize objects unseen during training by leveraging textual knowledge. Despite the remarkable progress of recent CLIP-based approa…
Bridging Perception and Action: A Lightweight Multimodal Meta-Planner Framework for Robust Earth Observation Agents
Jinghui Xu, Boyi Shangguan, Mengke Zhu +10
Autonomous Earth Observation (EO) agents are transitioning from passive perception to complex, multi-step task execution. However, current architectures that integrate planning and…
Physics-Aware Novel-View Acoustic Synthesis with Vision-Language Priors and 3D Acoustic Environment Modeling
Congyi Fan, Jian Guan, Youtian Lin +5
Spatial audio is essential for immersive experiences, yet novel-view acoustic synthesis (NVAS) remains challenging due to complex physical phenomena such as reflection, diffraction…
Dual-level Progressive Hardness-Aware Reweighting for Cross-View Geo-Localization
Guozheng Zheng, Jian Guan, Mingjie Xie +4
Cross-view geo-localization (CVGL) between drone and satellite imagery remains challenging due to severe viewpoint gaps and the presence of hard negatives, which are visually simil…
Align Your Rhythm: Generating Highly Aligned Dance Poses with Gating-Enhanced Rhythm-Aware Feature Representation
Congyi Fan, Jian Guan, Xuanjia Zhao +5
Automatically generating natural, diverse and rhythmic human dance movements driven by music is vital for virtual reality and film industries. However, generating dance that natura…
Band Prompting Aided SAR and Multi-Spectral Data Fusion Framework for Local Climate Zone Classification
Haiyan Lan, Shujun Li, Mingjie Xie +6
Local climate zone (LCZ) classification is of great value for understanding the complex interactions between urban development and local climate. Recent studies have increasingly f…
FastDrag: Manipulate Anything in One Step
Xuanjia Zhao, Jian Guan, Congyi Fan +4
Drag-based image editing using generative models provides precise control over image contents, enabling users to manipulate anything in an image with a few clicks. However, prevail…
SISP: A Benchmark Dataset for Fine-grained Ship Instance Segmentation in Panchromatic Satellite Images
Pengming Feng, Mingjie Xie, Hongning Liu +4
Fine-grained ship instance segmentation in satellite images holds considerable significance for monitoring maritime activities at sea. However, existing datasets often suffer from…
EARL: An Elliptical Distribution aided Adaptive Rotation Label Assignment for Oriented Object Detection in Remote Sensing Images
Jian Guan, Mingjie Xie, Youtian Lin +2
Label assignment is a crucial process in object detection, which significantly influences the detection performance by determining positive or negative samples during training proc…
Low-dimensional Denoising Embedding Transformer for ECG Classification
Jian Guan, Wenbo Wang, Pengming Feng +2
The transformer based model (e.g., FusingTF) has been employed recently for Electrocardiogram (ECG) signal classification. However, the high-dimensional embedding obtained via 1-D…
A Practical Solution for SAR Despeckling With Adversarial Learning Generated Speckled-to-Speckled Images
Ye Yuan, Jian Guan, Pengming Feng +1
In this letter, we aim to address a synthetic aperture radar (SAR) despeckling problem with the necessity of neither clean (speckle-free) SAR images nor independent speckled image…
IENet: Interacting Embranchment One Stage Anchor Free Detector for Orientation Aerial Object Detection
Youtian Lin, Pengming Feng, Jian Guan +2
Object detection in aerial images is a challenging task due to the lack of visible features and variant orientation of objects. Significant progress has been made recently for pred…
Matrix of Polynomials Model based Polynomial Dictionary Learning Method for Acoustic Impulse Response Modeling
Jian Guan, Xuan Wang, Pengming Feng +2
We study the problem of dictionary learning for signals that can be represented as polynomials or polynomial matrices, such as convolutive signals with time delays or acoustic impu…