most citedARS-DETR: Aspect Ratio-Sensitive Detection Transformer for Aerial Oriented Object Detection

129 citations · 180 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2025

Co-Training Vision Language Models for Remote Sensing Multi-task Learning

Qingyun Li, Shuran Ma, Junwei Luo +8

With Transformers achieving outstanding performance on individual remote sensing (RS) tasks, we are now approaching the realization of a unified model that excels across multiple t…

cs.CV2025★ 1 cited

A Simple Aerial Detection Baseline of Multimodal Language Models

Qingyun Li, Yushi Chen, Xinya Shu +4

The multimodal language models (MLMs) based on generative pre-trained Transformer are considered powerful candidates for unifying various domains and tasks. MLMs developed for remo…

cs.CV2025

PointOBB-v3: Expanding Performance Boundaries of Single Point-Supervised Oriented Object Detection

Peiyuan Zhang, Junwei Luo, Xue Yang +9

With the growing demand for oriented object detection (OOD), recent studies on point-supervised OOD have attracted significant interest. In this paper, we propose PointOBB-v3, a st…

cs.CV2023★ 1 cited

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…

cs.CV2023★ 5 cited

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…

cs.CV2023★ 13 cited

The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World

Weiyun Wang, Min Shi, Qingyun Li +11

We present the All-Seeing (AS) project: a large-scale data and model for recognizing and understanding everything in the open world. Using a scalable data engine that incorporates…

cs.CV2023★ 14 cited

InternGPT: Solving Vision-Centric Tasks by Interacting with ChatGPT Beyond Language

Zhaoyang Liu, Yinan He, Wenhai Wang +17

We present an interactive visual framework named InternGPT, or iGPT for short. The framework integrates chatbots that have planning and reasoning capabilities, such as ChatGPT, wit…

cs.CV2023★ 17 cited

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…

cs.CV2023★ 129 cited

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…