MFSTPT - Multi-Frame Tensor Model
Published:
Multi-frame spatial-temporal patch-tensor model leveraging temporal consistency for robust infrared small target detection.
Explore my research through these representative projects. The projects are organized in reverse chronological order.
Published:
Multi-frame spatial-temporal patch-tensor model leveraging temporal consistency for robust infrared small target detection.
Published:
Multi-stage coarse-to-fine architecture for accurate infrared small target detection in complex scenes.
Published:
Feature enhancement and multi-level matching strategy for robust single object tracking in satellite videos with large-scale variations.
Published:
Hybrid architecture combining traditional tensor methods with deep learning for robust infrared small target detection.
Published:
Vectorized guided filter for real-time infrared small moving target detection with spatial-temporal saliency fusion.
Published:
Edge-aware hierarchical tracking framework for precise localization in satellite videos with sub-pixel accuracy.
Published:
Contrastive-augmented memory network for robust drone tracking in thermal infrared videos with occlusion handling.
Published:
Frequency-aware attention-based tiny-object detection in remote sensing images.
Published:
Adaptive dual-region search strategy for handling diverse target types and complex backgrounds in infrared detection.
Published:
DETR with dual-domain density refinement for tiny object detection in aerial images.
Published:
Siamese geometry-aware and motion-guided network for real-time satellite video object tracking.