42 citations · 85 across the 7 of their papers we have counts for
8 papers
Vision-Language Guided Hyperspectral Object Tracking via Semantics Fusion and Contextual Template Updating
Rui Yao, Yuhong Zhang, Kunyang Sun +4
Hyperspectral object tracking (HOT) leverages the rich spectral information provided by hyperspectral videos (HSVs), offering substantial potential for object tracking. However, ef…
Real-Time Oriented Object Detection Transformer in Remote Sensing Images
Zeyu Ding, Yong Zhou, Jiaqi Zhao +4
Recent real-time detection transformers have gained popularity due to their simplicity and efficiency. However, these detectors do not explicitly model object rotation, especially…
DTTNet: Improving Video Shadow Detection via Dark-Aware Guidance and Tokenized Temporal Modeling
Zhicheng Li, Kunyang Sun, Rui Yao +5
Video shadow detection confronts two entwined difficulties: distinguishing shadows from complex backgrounds and modeling dynamic shadow deformations under varying illumination. To…
Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking
Shenglan Li, Rui Yao, Yong Zhou +5
To reduce the reliance on large-scale annotations, self-supervised RGB-T tracking approaches have garnered significant attention. However, the omission of the object region by erro…
OrientedFormer: An End-to-End Transformer-Based Oriented Object Detector in Remote Sensing Images
Jiaqi Zhao, Zeyu Ding, Yong Zhou +4
Oriented object detection in remote sensing images is a challenging task due to objects being distributed in multi-orientation. Recently, end-to-end transformer-based methods have…
RQFormer: Rotated Query Transformer for End-to-End Oriented Object Detection
Jiaqi Zhao, Zeyu Ding, Yong Zhou +4
Oriented object detection presents a challenging task due to the presence of object instances with multiple orientations, varying scales, and dense distributions. Recently, end-to-…
Vehicle Re-Identification Based on Complementary Features
Cunyuan Gao, Yi Hu, Yi Zhang +3
In this work, we present our solution to the vehicle re-identification (vehicle Re-ID) track in AI City Challenge 2020 (AIC2020). The purpose of vehicle Re-ID is to retrieve the sa…
Video Object Segmentation and Tracking: A Survey
Rui Yao, Guosheng Lin, Shixiong Xia +2
Object segmentation and object tracking are fundamental research area in the computer vision community. These two topics are diffcult to handle some common challenges, such as occl…