Welcome to Our Group

Our research focuses on multimodal spatial intelligence, structural and compositional understanding of scenes, and the application of these techniques to remote sensing interpretation and underwater environment understanding. These involve techniques like:

  • MLLM-assisted Spatial Reasoning, e.g., Object-goal Navigation, Visual-language Navigation, Multimodal Reasoning.
  • Scene Graph Generation, e.g., Remote Sensing / Under-water Scene Graph Generation.
  • Change Detection, Semantic Segmentation, and Instance Segmentation.
Wenbin Wang

Dr. Wenbin Wang

Wenbin Wang obtained his Ph.D. degree in the VIPL group (VIPL-VSU) of the Key Lab. of Intelligent Information Processing (IIP) at Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), advised by Prof. Xilin Chen and Prof. Ruiping Wang. Before this, he received his B.Eng. degree in Computer Science and Technology from Nankai University (NKU, 2013-2017). He was awarded the Nomination Award of the Doctoral Dissertation Incentive Program, China Society of Image and Graphics. He is the Chutian Scholar Talent Program of Hubei Province. He is an invited journal reviewer for IEEE TPAMI / IEEE TMM / PR / ESWA, and the invited conference reviewer for CVPR / ICCV / ECCV / NeurIPS. He is a member of the CAAI (Intelligent Service Professional Committee), CCF, and CSIG.

🔥 News

  • 2026.08:   A paper on remote sensing scene graph generation is accepted by IEEE TGRS.
  • 2026.08:   A paper is accepted by IEEE JSTARS.
  • 2026.07:   A paper is accepted by IEEE TGRS.
  • 2026.05:   A paper is accepted by IEEE TGRS.
  • 2025.12:   One paper is accepted by IEEE TCSVT.
  • 2024.12:   One paper is accepted by The Visual Computer.
  • 2023.05:   One paper on hierarchical SGG (SGoI) is accepted by IJCV.
  • 2022.07:   One paper is accepted by SCIENTIA SINICA Informationis.
  • 2021.07:   One paper on SGG and image captioning is accepted by ICCV 2021.
  • 2020.07:   One paper on hierarchical scene graph generation is accepted by ECCV 2020.
  • 2019.03:   One paper on visual relationship detection is accepted by CVPR 2019.

📝 Publications

TGRS 2026
SARNet framework

Spatially Anisotropic Reasoning Network for Remote Sensing Scene Graph Generation

Wenbin Wang, Yiheng Chen, Hang Sun, Dong Ren, Yansheng Li

  • Remote sensing images contain multiple functional subscenes, while relation semantics are strongly shaped by objects’ relative spatial configurations.
  • SARNet introduces Anisotropic Ellipse Influence Propagation (AEIP) to model object-centered spatial influence and suppress noisy long-range interactions, together with Relative Spatial Configuration Attention (RSCA) to enhance geometry-discriminative relation representations.
  • CODE release: SARNet
IJCV 2023
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Importance First: Generating Scene Graph of Human Interest

Wenbin Wang, Ruiping Wang, Shiguang Shan, Xilin Chen

  • There exists a hierarchical preference about human perception when they analyze a natural scene.
  • SGoI (Scene Graph of Human Interest) generation framework is proposed to present the scene graph according to the content importance.
  • CODE release: TGIR
ICCV 2021
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Topic Scene Graph Generation by Attention Distillation from Caption

Wenbin Wang, Ruiping Wang, Xilin Chen

  • Scene graph generation and image captioning can be viewed as two forms of scene understanding.
  • A shared framework that jointly generates scene graph and image caption is proposed in this work.
  • CODE release: MMSceneGraph : an SGG toolkit based on MMdetection, including most SOTA SGG methods.