562 citations · 2.4k across the 31 of their papers we have counts for
31 papers
DA-NBV: A Direction-Aware Next-Best-View Planner for Efficient 3D Reconstruction of Ships at Sea
Jiaming Chen, Juntao Yang, Zhentao Zou +6
Accurate 3D reconstruction of ships at sea is important for maritime supervision, damage assessment, and autonomous maritime operations. Although 3D reconstruction has advanced con…
1%>100%: High-Efficiency Visual Adapter with Complex Linear Projection Optimization
Dongshuo Yin, Xue Yang, Deng-Ping Fan +1
Deploying vision foundation models typically relies on efficient adaptation strategies, whereas conventional full fine-tuning suffers from prohibitive costs and low efficiency. Whi…
LWGANet: Addressing Spatial and Channel Redundancy in Remote Sensing Visual Tasks with Light-Weight Grouped Attention
Wei Lu, Xue Yang, Si-Bao Chen
Light-weight neural networks for remote sensing (RS) visual analysis must overcome two inherent redundancies: spatial redundancy from vast, homogeneous backgrounds, and channel red…
E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection
Jiaqing Zhang, Mingxiang Cao, Weiying Xie +5
Multimodal image fusion and object detection are crucial for autonomous driving. While current methods have advanced the fusion of texture details and semantic information, their c…
Theoretically Achieving Continuous Representation of Oriented Bounding Boxes
Zi-Kai Xiao, Guo-Ye Yang, Xue Yang +3
Considerable efforts have been devoted to Oriented Object Detection (OOD). However, one lasting issue regarding the discontinuity in Oriented Bounding Box (OBB) representation rema…
Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft
Hao Li, Xue Yang, Zhaokai Wang +7
Many reinforcement learning environments (e.g., Minecraft) provide only sparse rewards that indicate task completion or failure with binary values. The challenge in exploration eff…
PointOBB: Learning Oriented Object Detection via Single Point Supervision
Junwei Luo, Xue Yang, Yi Yu +3
Single point-supervised object detection is gaining attention due to its cost-effectiveness. However, existing approaches focus on generating horizontal bounding boxes (HBBs) while…
Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision
Yi Yu, Xue Yang, Qingyun Li +4
With the rapidly increasing demand for oriented object detection (OOD), recent research involving weakly-supervised detectors for learning rotated box (RBox) from the horizontal bo…
P2RBox: Point Prompt Oriented Object Detection with SAM
Guangming Cao, Xuehui Yu, Wenwen Yu +5
Single-point annotation in oriented object detection of remote sensing scenarios is gaining increasing attention due to its cost-effectiveness. However, due to the granularity ambi…
Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning
Yan Li, Weiwei Guo, Xue Yang +4
An increasingly massive number of remote-sensing images spurs the development of extensible object detectors that can detect objects beyond training categories without costly colle…
H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection
Yi Yu, Xue Yang, Qingyun Li +4
With the rapidly increasing demand for oriented object detection, e.g. in autonomous driving and remote sensing, the recently proposed paradigm involving weakly-supervised detector…
ARS-DETR: Aspect Ratio-Sensitive Detection Transformer for Aerial Oriented Object Detection
Ying Zeng, Yushi Chen, Xue Yang +2
Existing oriented object detection methods commonly use metric AP to measure the performance of the model. We argue that AP is inherently unsuitable for oriented obje…
PatchDCT: Patch Refinement for High Quality Instance Segmentation
Qinrou Wen, Jirui Yang, Xue Yang +1
High-quality instance segmentation has shown emerging importance in computer vision. Without any refinement, DCT-Mask directly generates high-resolution masks by compressed vectors…
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection
Xue Yang, Gefan Zhang, Wentong Li +3
Oriented object detection emerges in many applications from aerial images to autonomous driving, while many existing detection benchmarks are annotated with horizontal bounding box…
Detecting Rotated Objects as Gaussian Distributions and Its 3-D Generalization
Xue Yang, Gefan Zhang, Xiaojiang Yang +5
Existing detection methods commonly use a parameterized bounding box (BBox) to model and detect (horizontal) objects and an additional rotation angle parameter is used for rotated…
G-Rep: Gaussian Representation for Arbitrary-Oriented Object Detection
Liping Hou, Ke Lu, Xue Yang +2
Typical representations for arbitrary-oriented object detection tasks include oriented bounding box (OBB), quadrilateral bounding box (QBB), and point set (PointSet). Each represen…
MMRotate: A Rotated Object Detection Benchmark using PyTorch
Yue Zhou, Xue Yang, Gefan Zhang +9
We present an open-source toolbox, named MMRotate, which provides a coherent algorithm framework of training, inferring, and evaluation for the popular rotated object detection alg…
The KFIoU Loss for Rotated Object Detection
Xue Yang, Yue Zhou, Gefan Zhang +5
Differing from the well-developed horizontal object detection area whereby the computing-friendly IoU based loss is readily adopted and well fits with the detection metrics. In con…
AlphaRotate: A Rotation Detection Benchmark using TensorFlow
Xue Yang, Yue Zhou, Junchi Yan
AlphaRotate is an open-source Tensorflow benchmark for performing scalable rotation detection on various datasets. It currently provides more than 18 popular rotation detection mod…
RSDet++: Point-based Modulated Loss for More Accurate Rotated Object Detection
Wen Qian, Xue Yang, Silong Peng +2
We classify the discontinuity of loss in both five-param and eight-param rotated object detection methods as rotation sensitivity error (RSE) which will result in performance degen…
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence
Xue Yang, Xiaojiang Yang, Jirui Yang +4
Existing rotated object detectors are mostly inherited from the horizontal detection paradigm, as the latter has evolved into a well-developed area. However, these detectors are di…
Optimization for Arbitrary-Oriented Object Detection via Representation Invariance Loss
Qi Ming, Lingjuan Miao, Zhiqiang Zhou +2
Arbitrary-oriented objects exist widely in natural scenes, and thus the oriented object detection has received extensive attention in recent years. The mainstream rotation detector…
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
Xue Yang, Junchi Yan, Qi Ming +3
Boundary discontinuity and its inconsistency to the final detection metric have been the bottleneck for rotating detection regression loss design. In this paper, we propose a novel…
Dense Label Encoding for Boundary Discontinuity Free Rotation Detection
Xue Yang, Liping Hou, Yue Zhou +2
Rotation detection serves as a fundamental building block in many visual applications involving aerial image, scene text, and face etc. Differing from the dominant regression-based…