From the 1 of 6 linked papers with an AI index.
7 papers · 1 filter
AdaAnchor4D: Anchor-Conditioned Spatiotemporal Feature Aggregation for Monocular UAV 4D Reconstruction
Peiyi Xu, Junpeng Zhang, Guanbin Li +6
The paper introduces AdaAnchor4D, a method that uses adaptive anchor-based feature aggregation to improve monocular UAV video reconstruction of dynamic urban scenes, reducing artif…
SDesc3D: Towards Layout-Aware 3D Indoor Scene Generation from Short Descriptions
Jie Feng, Jiawei Shen, Junjia Huang +4
3D indoor scene generation conditioned on short textual descriptions provides a promising avenue for interactive 3D environment construction without the need for labor-intensive la…
Decouple and Rectify: Semantics-Preserving Structural Enhancement for Open-Vocabulary Remote Sensing Segmentation
Jie Feng, Fengze Li, Junpeng Zhang +4
Open-vocabulary semantic segmentation in the remote sensing (RS) field requires both language-aligned recognition and fine-grained spatial delineation. Although CLIP offers robust…
Resonance4D: Frequency-Domain Motion Supervision for Preset-Free Physical Parameter Learning in 4D Dynamic Physical Scene Simulation
Changshe Zhang, Jie Feng, Siyu Chen +3
Physics-driven 4D dynamic simulation from static 3D scenes remains constrained by an overlooked contradiction: reliable motion supervision often relies on online video diffusion or…
Explore Intrinsic Geometry for Query-based Tiny and Oriented Object Detector with Momentum-based Bipartite Matching
Junpeng Zhang, Zewei Yang, Jie Feng +3
Recent query-based detectors have achieved remarkable progress, yet their performance remains constrained when handling objects with arbitrary orientations, especially for tiny obj…
S4DL: Shift-sensitive Spatial-Spectral Disentangling Learning for Hyperspectral Image Unsupervised Domain Adaptation
Jie Feng, Tianshu Zhang, Junpeng Zhang +4
Unsupervised domain adaptation techniques, extensively studied in hyperspectral image (HSI) classification, aim to use labeled source domain data and unlabeled target domain data t…