Source Themes

OneLLM: One Framework to Align All Modalities with Language
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024. Jiaming Han, Kaixiong Gong, Yiyuan Zhang, Jiaqi Wang, Kaipeng Zhang, Dahua Lin, Yu Qiao, Peng Gao, Xiangyu Yue
PDF Cite Code Project
OneLLM: One Framework to Align All Modalities with Language
ShareGPT4V: Improving Large Multi-Modal Models with Better Captions
In Arxiv 2023. Lin Chen*, Jinsong Li*, Xiaoyi Dong, Pan Zhang, Conghui He, Jiaqi Wang, Feng Zhao, Dahua Lin (* equal contribution)
PDF Cite Code Project
ShareGPT4V: Improving Large Multi-Modal Models with Better Captions
HyperDreamer: Hyper-Realistic 3D Content Generation and Editing from a Single Image
In SIGGRAPH Asia 2023, conference track. Tong Wu*, Zhibing Li*, Shuai Yang*, Pan Zhang, Xingang Pan, Jiaqi Wang, Ziwei Liu, Dahua Lin (* equal contribution)
PDF Cite Code Project
HyperDreamer: Hyper-Realistic 3D Content Generation and Editing from a Single Image
VIGC: Visual Instruction Generation and Correction
In AAAI 2024. Bin Wang, Fan Wu, Xiao Han, Jiahui Peng, Huaping Zhong, Pan Zhang, Xiaoyi Dong, Weijia Li, Wei Li, Jiaqi Wang, Conghui He
PDF Cite Code Project
VIGC: Visual Instruction Generation and Correction
V3Det: Vast Vocabulary Visual Detection Dataset
In IEEE International Conference on Computer Vision (ICCV) 2023, as Oral. A Detection dataset with more than 13,000 Categories,
Jiaqi Wang*, Pan Zhang*, Tao Chu*, Yuhang Cao*, Yujie Zhou, Tong Wu, Bin Wang, Conghui He, Dahua Lin (* equal contribution)
PDF Cite Code Project
V3Det: Vast Vocabulary Visual Detection Dataset
OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023, Award Candiate
Tong Wu, Jiarui Zhang, Xiao Fu, Yuxin Wang, Jiawei Ren, Liang Pan, Wayne Wu, Lei Yang, Jiaqi Wang, Chen Qian, Dahua Lin, Ziwei Liu
PDF Cite Code Project
OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers
In International Conference on Machine Learning (ICML) 2023
Dachuan Shi, Chaofan Tao, Ying Jin, Zhendong Yang, Yuan Chun#, Jiaqi Wang#
(# corresponding authors)
PDF Cite Code Project
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers
BUOL: A Bottom-Up Framework with Occupancy-aware Lifting for Panoptic 3D Scene Reconstruction From A Single Image
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023
Tao Chu, Pan Zhang, Qiong Liu, Jiaqi Wang
PDF Cite Code
BUOL: A Bottom-Up Framework with Occupancy-aware Lifting for Panoptic 3D Scene Reconstruction From A Single Image
Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction
In International Conference on Learning Representations (ICLR) 2023, as Spotlight
Tong Wu, Jiaqi Wang#, Xingang Pan, Xudong Xu, Christian Theobalt, Ziwei Liu, Dahua Lin#
(# corresponding authors)
PDF Cite Code
Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction
Self-supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences
In AAAI Conference on Artificial Intelligence (AAAI) 2023, as Oral
Yujie Zhou, Haodong Duan, Anyi Rao, Bing Su, Jiaqi Wang
PDF Cite Code
Self-supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences