Publications
Equal contribution
Corresponding author
Project Leader
ALL (67 papers)
【SatDiFuser】Can Generative Geospatial Diffusion Models Excel as Discriminative Geospatial Foundation Models?.
arXiv,
2503.0789,
2025.
【GenieBlue】Integrating both Linguistic and Multimodal Capabilities for Large Language Models on Mobile Devices.
arXiv,
2503.06019,
2025.
【Mona】5%>100% Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks.
Computer Vision and Pattern Recognition,
Music City Center, Nashville TN,
2025.
【Mono-InternVL】Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training.
Computer Vision and Pattern Recognition,
Music City Center, Nashville TN,
2025.
【Point2RBox-v2】Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances.
Computer Vision and Pattern Recognition,
Music City Center, Nashville TN,
2025.
【RSAR】Restricted State Angle Resolver and Rotated SAR Benchmark.
Computer Vision and Pattern Recognition,
Music City Center, Nashville TN,
2025.
【Wholly-WOOD】Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
2025.
【PointOBB-v3】Expanding Performance Boundaries of Single Point-Supervised Oriented Object Detection.
arXiv,
2501.13898,
2025.
【FLoRA】Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning.
International Conference on Learning Representations,
Singapore,
2025.
【PointOBB-v2】Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection.
International Conference on Learning Representations,
Singapore,
2025.
【LMMRotate】A Simple Aerial Detection Baseline of Multimodal Language Models.
arXiv,
2501.0972,
2025.
【PIIP】Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding.
arXiv,
2501.07783,
2025.
【UCDNet】Multi-UAV Collaborative 3D Object Detection Network by Reliable Feature Mapping.
IEEE Transactions on Geoscience and Remote Sensing,
63,
2024.
【DiffCLIP】Few-shot Language-driven Multimodal Classifier.
Thirty-Nine AAAI Conference on Artificial Intelligence,
Philadelphia, Pennsylvania, USA,
2025.
【GeneMAN】Generalizable Single-Image 3D Human Reconstruction from Multi-Source Human Data.
arXiv,
2411.18624,
2024.
【STAR】A First-Ever Dataset and A Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite Imagery.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
47(3), 1832-1849,
2024.
【CastDet】Exploiting Unlabeled Data with Multiple Expert Teachers for Open Vocabulary Aerial Object Detection and Its Orientation Adaptation.
arXiv,
2411.02057,
2024.
【Drones Help Drones】A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond.
Advances in Neural Information Processing Systems,
Vancouver, Canada,
2024.
【E2E-MFD】Towards End-to-End Synchronous Multimodal Fusion Detection.
Advances in Neural Information Processing Systems,
Vancouver, Canada,
2024.
【PIIP】Parameter-Inverted Image Pyramid Networks.
Advances in Neural Information Processing Systems,
Vancouver, Canada,
2024.
【CastDet】Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning.
European Conference on Computer Vision,
MiCo Milano, Italy,
2024.
【FreeReal】Bridging Synthetic and Real Worlds for Pre-training Scene Text Detectors.
European Conference on Computer Vision,
MiCo Milano, Italy,
2024.
Towards Vision-Language Geo-Foundation Model A Survey.
arXiv,
2406.09385,
2024.
Context-Aware Aerial Object Detection Leveraging Inter-Object and Background Relationships.
arXiv,
2404.0414,
2024.
【Auto MC-Reward】Automated Dense Reward Design with Large Language Models for Minecraft.
Computer Vision and Pattern Recognition,
Seattle WA, USA,
2024.
【COBB】Theoretically Achieving Continuous Representation of Oriented Bounding Boxes.
Computer Vision and Pattern Recognition,
Seattle WA, USA,
2024.
【Point2RBox】Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision.
Computer Vision and Pattern Recognition,
Seattle WA, USA,
2024.
【PointOBB】Learning Oriented Object Detection via Single Point Supervision.
Computer Vision and Pattern Recognition,
Seattle WA, USA,
2024.
【ARS-DETR】Aspect Ratio-Sensitive Detection Transformer for Aerial Oriented Object Detection.
IEEE Transactions on Geoscience and Remote Sensing,
62, 1-15,
2024.
【AlphaRotate】A Rotation Detection Benchmark using TensorFlow.
International Conference on Acoustics, Speech and Signal Processing,
Seoul, Korea,
2024.
【R3DetGauss】Visual Oriented Object Detection via Feature Alignment and Gaussian Parameterization.
SCIENTIA SINICA Informationis,
53(11), 2250-2265,
2023.
【H2RBox-v2】Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection.
Advances in Neural Information Processing Systems,
New Orleans, Louisiana, USA,
2023.
【CCD】Self-supervised Character-to-Character Distillation for Text Recognition.
International Conference on Computer Vision,
Paris, France,
2023.
【InternGPT】Solving Vision-Centric Tasks by Interacting with ChatGPT Beyond Language.
arXiv,
2305.05662,
2023.
【SIGA】Self-supervised Implicit Glyph Attention for Text Recognition.
Computer Vision and Pattern Recognition,
Vancouver, Canada,
2023.
【G-Rep】Gaussian Representation for Arbitrary-Oriented Object Detection.
Remote Sensing,
15(3), 757,
2023.
【H2RBox】Horizontal Box Annotation is All You Need for Oriented Object Detection.
International Conference on Learning Representations,
Kigali, Rwanda,
2023.
【KFIoU】The KFIoU Loss for Rotated Object Detection.
International Conference on Learning Representations,
Kigali, Rwanda,
2023.
【PatchDCT】Patch Refinement for High Quality Instance Segmentation.
International Conference on Learning Representations,
Kigali, Rwanda,
2023.
【TIOE】Task Interleaving and Orientation Estimation for High-Precision Oriented Object Detection in Aerial Images.
ISPRS Journal of Photogrammetry and Remote Sensing,
196, 241-255,
2023.
【PVT-SAR】An Arbitrarily Oriented SAR Ship Detector with Pyramid Vision Transformer.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
16, 291-305,
2022.
【MMRotate】A Rotated Object Detection Benchmark using PyTorch.
30th ACM International Conference on Multimedia,
Lisboa, Portugal,
2022.
Detecting Rotated Objects as Gaussian Distributions and Its 3-D Generalization.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
45(4), 4335-4354,
2022.
【RSDet++】Point-based Modulated Loss for More Accurate Rotated Object Detection.
IEEE Transactions on Circuits and Systems for Video Technology,
32(11), 7869-7879,
2022.
【SCRDet++】Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
45(2), 2384-2399,
2022.
Dual-path Image Inpainting with Auxiliary GAN Inversion.
Computer Vision and Pattern Recognition,
New Orleans, Louisiana,
2022.
On the Arbitrary-Oriented Object Detection Classification based Approaches Revisited.
International Journal of Computer Vision,
130, 1340-1365,
2022.
【KLD】Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence.
Advances in Neural Information Processing Systems,
Virtual,
2021.
【RIDet】Optimization for Arbitrary-Oriented Object Detection via Representation Invariance Loss.
IEEE Geoscience and Remote Sensing Letters,
19, 1-5,
2021.
Parallel Multi-Resolution Fusion Network for Image Inpainting.
International Conference on Computer Vision,
Virtual,
2021.
【SLA】Sparse Label Assignment for Oriented Object Detection in Aerial Images.
Remote Sensing,
13(14), 2664,
2021.
【GWD】Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss.
International Conference on Machine Learning,
Virtual,
2021.
【DCL】Dense Label Encoding for Boundary Discontinuity Free Rotation Detection.
Computer Vision and Pattern Recognition,
Virtual,
2021.
【R3Det】Refined Single-Stage Detector with Feature Refinement for Rotating Object.
Thirty-Five AAAI Conference on Artificial Intelligence,
Vancouver, Canada,
2021.
【RSDet】Learning Modulated Loss for Rotated Object Detection.
Thirty-Five AAAI Conference on Artificial Intelligence,
Vancouver, Canada,
2021.
Texture Synthesis Based Thyroid Nodule Detection from Medical Ultrasound Images Interpreting and Suppressing the Adversarial Effect of In-place Manual Annotation.
Frontiers in Bioengineering and Biotechnology,
8, 599,
2019.
【CSL】Arbitrary-Oriented Object Detection with Circular Smooth Label.
European Conference on Computer Vision,
Glasgow, Scotland, UK,
2020.
【FSCascade】Rethinking Classification and Localization for Cascade R-CNN.
30th British Machine Vision Conference,
Cardiff, Wales, UK,
2019.
【SCRDet】Towards More Robust Detection for Small, Cluttered and Rotated Objects.
International Conference on Computer Vision,
Seoul, Korea,
2019.
【FFPN-RL】A Ship Rotation Detection Model in Remote Sensing Images Based on Feature Fusion Pyramid Network and Deep Reinforcement Learning.
Remote Sensing,
10(12), 1922,
2018.
【RFast-RCNN】Building Detection in High Spatial Resolution Remote Sensing Imagery with the U-Rotation Detection Network.
International Journal of Remote Sensing,
40(15), 6036-6058,
2018.
Position Detection and Direction Prediction for Arbitrary-oriented Ships via Multitask Rotation Region Convolutional Neural Network.
IEEE Access,
6, 50839-50849,
2018.
【DCMSNN】A Densely Connected End-to-End Neural Network for Multiscale and Multiscene SAR Ship Detection.
IEEE Access,
6, 20881-20892,
2018.
Object Detection With Head Direction in Remote Sensing Images Based on Rotational Region CNN.
International Geoscience and Remote Sensing Symposium,
Valencia,
2018.
【R-DFPN】Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks.
Remote Sensing,
10(1), 132,
2018.