Publications

• LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models.
  Hao Zhang*, Hongyang Li*, Feng Li, Tianhe Ren, Xueyan Zou, Shilong Liu, Shijia Huang, Jianfeng Gao, Lei Zhang, Chunyuan Li, Jianwei Yang.
  arxiv 2023.
  [Paper][Code]

• Semantic-SAM: Segment and Recognize Anything at Any Granularity.
  Feng Li*, Hao Zhang*, Peize Sun, Xueyan Zou, Shilong Liu, Jianwei Yang, Chunyuan Li, Lei Zhang, Jianfeng Gao.
  arxiv 2023.
  [Paper][Code]

• SoM: Set-of-Mark Visual Prompting for GPT-4V.
  Jianwei Yang*, Hao Zhang*,Feng Li*, Xueyan Zou*, Chunyuan Li, Jianfeng Gao.
  arxiv 2023.
  [Paper][Code]

• OpenSeeD: A Simple Framework for Open-Vocabulary Segmentation and Detection.
  Hao Zhang*, Feng Li*, Xueyan Zou*, Shilong Liu, Chunyuan Li, Jianfeng Gao, Jianwei Yang, Lei Zhang. ICCV 2023.
  [Paper][Code]

• SEEM: Segment Everything Everywhere All at Once.
  Xueyan Zou*, Jianwei Yang*, Hao Zhang*, Feng Li*, Linjie Li, Jianfeng Gao, Yong Jae Lee.
  NeurIPS 2023.
  [Paper][Code]

• Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.
  Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang.
  arxiv 2023.
  [Paper][Code]

• Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation.
  Feng Li*, Hao Zhang*, Huaizhe Xu, Shilong Liu, Lei Zhang, Lionel M. Ni, Heung-Yeung Shum.
  CVPR 2023.
  [Paper][Code]

• DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.
  Hao Zhang*, Feng Li*, Shilong Liu*, Lei Zhang, Hang Su, Jun Zhu, Lionel M. Ni, Heung-Yeung Shum.
  ICLR 2023.
  [Paper][Code] Rank 2nd on ICLR 2023 Most Inflentical Papers

• DN-DETR: Accelerate DETR Training by Introducing Query DeNoising.
  Feng Li*, Hao Zhang*, Shilong Liu, Jian Guo, Lionel M. Ni, Lei Zhang.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022. Oral presentation.
  [Paper][Code]

(* denotes equal contribution.)