Publications

2024

1. TPAMI2024

   A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-oriented Perspective

   Chaoqi Chen*, Yushuang Wu*, Qiyuan Dai*, Hong-Yu Zhou*, Mutian Xu, Sibei Yang†, Xiaoguang Han†, Yizhou Yu†

   Accepted by TPAMI, 2024

   arXiv

2. 

   Part2Object: Hierarchical Unsupervised 3D Instance Segmentation

   Cheng Shi*, Yulin Zhang*, Bin Yang, Jiajin Tang, Yuexin Ma, Sibei Yang†

   Accepted by ECCV, 2024

3. 

   Plain-D^Net: A Plain Multi-Dataset Object Detector

   Cheng Shi*, Yuchen Zhu*, and Sibei Yang†

   Accepted by ECCV, 2024

4. 

   WildRefer: 3D Object Localization in Large-scale Dynamic Scenes with Multi-modal Visual Data and Natural Language

   Zhenxiang Lin, Xidong Peng, Peishan Cong, Ge Zheng, Yujing Sun, Yuenan Hou, Xinge Zhu, Sibei Yang, Yuexin Ma

   Accepted by ECCV, 2024

   arXiv
5. CVPR2024

   Curriculum Point Prompting for Weakly-Supervised Referring Image Segmentation

   Qiyuan Dai, and Sibei Yang†

   Accepted by CVPR, 2024

   arXiv

6. 

   The Devil is in the Object Boundary: Towards Annotation-free Instance Segmentation Using Foundation Models

   Cheng Shi, and Sibei Yang†

   Accepted by ICLR, 2024

   arXiv Code

7. 

   OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllers

   Han Liang, Jiacheng Bao, Ruichi Zhang, Sihan Ren, Yuecheng Xu, Sibei Yang, Xin Chen, Jingyi Yu, Lan Xu

   Accepted by CVPR, 2024

   arXiv Code Video

8. 

   RealDex: Towards Human-like Grasping for Robotic Dexterous Hand

   Yumeng Liu*, Yaxun Yang*, Youzhuo Wang*, Xiaofei Wu, Jiamin Wang, Yichen Yao, Sören Schwertfeger, Sibei Yang, Wenping Wang, Jingyi Yu, Xuming He, Yuexin Ma

   Accepted by IJCAI, 2024

   arXiv

2023

1. 

   DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models

   Ge Zheng*, Bin Yang*, Jiajin Tang*, Hong-Yu Zhou, Sibei Yang†

   Accepted by NeurIPS, 2023

   arXiv Code

2. 

   Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animator

   Hanzhuo Huang*, Yufan Feng*, Cheng Shi, Lan Xu, Jingyi Yu, Sibei Yang†

   Accepted by NeurIPS, 2023

   arXiv Code
3. ICCV2023

   LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language Models

   Cheng Shi, and Sibei Yang†

   Accepted by ICCV, 2023

   arXiv HTML PDF
4. ICCV2023

   EdaDet: Open-Vocabulary Object Detection Using Early Dense Alignment

   Cheng Shi, and Sibei Yang†

   Accepted by ICCV, 2023

   arXiv HTML PDF
5. ICCV2023

   CoTDet: Affordance Knowledge Prompting for Task Driven Object Detection

   Jiajin Tang*, Ge Zheng*, Jingyi Yu, Sibei Yang†

   Accepted by ICCV, 2023

   arXiv HTML PDF
6. ICCV2023

   Temporal Collection and Distribution for Referring Video Object Segmentation

   Jiajin Tang, Ge Zheng, and Sibei Yang†

   Accepted by ICCV, 2023

   HTML PDF
7. ICCV2023

   Grounded lmage Text Matching with Mismatched Relation Reasoning

   Yu Wu*, Yana Wei*, Haozhe Wang, Yongfei Liu, Sibei Yang, Xuming He†

   Accepted by ICCV, 2023

   arXiv
8. CVPR2023

   Contrastive Grouping with Transformer for Referring Image Segmentation

   Jiajin Tang, Ge Zheng, Cheng Shi, Sibei Yang†

   Accepted by CVPR, 2023

   PDF Code
9. AAAI2023

   CCQ: Cross-Class Query Network for Partially Labeled Organ Segmentation

   Xuyang Liu, Bingbing Wen, and Sibei Yang†

   Accepted by AAAI, 2023

   HTML Code
10. SIGGRAPH2023

    DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance

    Longwen Zhang*, Qiwei Qiu*, Hongyang Lin*, Qixuan Zhang, Cheng Shi, Wei Yang, Ye Shi, Sibei Yang†, Lan Xu†, Jingyi Yu†

    Accepted by SIGGRAPH, 2023

    arXiv HTML PDF Video
11. TPAMI2023

    A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis

    Hong-Yu Zhou*, Chixiang Lu*, Chaoqi Chen, Sibei Yang, Yizhou Yu†

    Accepted by TPAMI, 2023

    arXiv
12. WildRefer: 3D Object Localization in Large-scale Dynamic Scenes with Multi-modal Visual Data and Natural Language

    Zhenxiang Lin, Xidong Peng, Peishan Cong, Yuenan Hou, Xinge Zhu, Sibei Yang, Yuexin Ma

    arXiv preprint arXiv:2304.05645, 2023

    arXiv

2022

1. ECCV2022

   Spatial and Visual Perspective-Taking via View Rotation and Relation Reasoning for Embodied Reference Understanding

   Cheng Shi, and Sibei Yang†

   Accepted by ECCV, 2022

   PDF Code

2021

1. TMM2021

   Structured attention network for referring image segmentation

   Liang Lin, Pengxiang Yan, Xiaoqian Xu, Sibei Yang, Kun Zeng, Guanbin Li

   Accepted by Transactions on Multimedia, 2021

   HTML
2. CVPR2021

   Bottom-up shift and reasoning for referring image segmentation

   Sibei Yang, Meng Xia, Guanbin Li, Hong-Yu Zhou, Yizhou Yu

   CVPR, 2021

   PDF
3. ICCV2021

   Convnets vs. transformers: Whose visual representations are more transferable?

   Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Yizhou Yu

   Accepted by ICCV, 2021

   arXiv
4. ICCV2021

   Preservational learning improves self-supervised medical image models by reconstructing diverse contexts

   Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Xiaoguang Han, Yizhou Yu

   Accepted by ICCV, 2021

   arXiv Code

2020

1. TPAMI2020

   Relationship-embedded representation learning for grounding referring expressions

   Sibei Yang, Guanbin Li, and Yizhou Yu

   TPAMI, 2020

   arXiv
2. CVPR2020

   Graph-structured referring expression reasoning in the wild

   Sibei Yang, Guanbin Li, and Yizhou Yu

   Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2020

   Abs arXiv Code

   Grounding referring expressions aims to locate in an image an object referred to by a natural language expression. The linguistic structure of a referring expression provides a layout of reasoning over the visual contents, and it is often crucial to align and jointly understand the image and the referring expression. In this paper, we propose a scene graph guided modular network (SGMN), which performs reasoning over a semantic graph and a scene graph with neural modules under the guidance of the linguistic structure of the expression. In particular, we model the image as a structured semantic graph, and parse the expression into a language scene graph. The language scene graph not only decodes the linguistic structure of the expression, but also has a consistent representation with the image semantic graph. In addition to exploring structured solutions to grounding referring expressions, we also propose Ref-Reasoning, a large-scale real-world dataset for structured referring expression reasoning. We automatically generate referring expressions over the scene graphs of images using diverse expression templates and functional programs. This dataset is equipped with real-world visual contents as well as semantically rich expressions with different reasoning layouts. Experimental results show that our SGMN not only significantly outperforms existing state-of-the-art algorithms on the new Ref-Reasoning dataset, but also surpasses state-of-the-art structured methods on commonly used benchmark datasets. It can also provide interpretable visual evidences of reasoning.

3. ECCV2020

   Propagating over phrase relations for one-stage visual grounding

   Sibei Yang, Guanbin Li, and Yizhou Yu

   Accepted by ECCV, 2020

   HTML

2019

1. AAAI2019

   Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks

   Xiang He, Sibei Yang, Guanbin Li, Haofeng Li, HuiYou Chang, Yizhou Yu

   Accepted by AAAI, 2019

   arXiv HTML
2. Dynamic Graph Attention for Referring Expression Comprehension

   Sibei Yang, Guanbin Li, and Yizhou Yu

   Accepted by ICCV, Oct 2019

   HTML Video
3. CVPR2019

   Cross-Modal Relationship Inference for Grounding Referring Expressions

   Sibei Yang, Guanbin Li, and Yizhou Yu

   Accepted by CVPR, Oct 2019

   HTML PDF Code

2018

1. CVPR2018

   Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning

   Weifeng Ge, Sibei Yang, and Yizhou Yu

   Accepted by CVPR, Jun 2018

   arXiv HTML