no code implementations • 20 Mar 2024 • Yibo Wang, Ruiyuan Gao, Kai Chen, Kaiqiang Zhou, Yingjie Cai, Lanqing Hong, Zhenguo Li, Lihui Jiang, Dit-yan Yeung, Qiang Xu, Kai Zhang
Furthermore, image syntheses from DetDiffusion can effectively augment training data, significantly enhancing downstream detection performance.
1 code implementation • 16 Jan 2024 • Xu Yan, Haiming Zhang, Yingjie Cai, Jingming Guo, Weichao Qiu, Bin Gao, Kaiqiang Zhou, Yue Zhao, Huan Jin, Jiantao Gao, Zhen Li, Lihui Jiang, Wei zhang, Hongbo Zhang, Dengxin Dai, Bingbing Liu
The rise of large foundation models, trained on extensive datasets, is revolutionizing the field of AI.
1 code implementation • ICCV 2023 • Jiawei Yao, Chuming Li, Keqiang Sun, Yingjie Cai, Hao Li, Wanli Ouyang, Hongsheng Li
Monocular 3D Semantic Scene Completion (SSC) has garnered significant attention in recent years due to its potential to predict complex semantics and geometry shapes from a single image, requiring no 3D inputs.
3D Semantic Scene Completion from a single 2D image 3D Semantic Scene Completion from a single RGB image +1
1 code implementation • 2 Mar 2023 • Rongyao Fang, Peng Gao, Aojun Zhou, Yingjie Cai, Si Liu, Jifeng Dai, Hongsheng Li
The first method is One-to-many Matching via Data Augmentation (denoted as DataAug-DETR).
no code implementations • CVPR 2022 • Yingjie Cai, Kwan-Yee Lin, Chao Zhang, Qiang Wang, Xiaogang Wang, Hongsheng Li
Specifically, we map a series of related partial point clouds into multiple complete shape and occlusion code pairs and fuse the codes to obtain their representations in the unified latent space.
1 code implementation • CVPR 2021 • Yingjie Cai, Xuesong Chen, Chao Zhang, Kwan-Yee Lin, Xiaogang Wang, Hongsheng Li
The key insight is that we decouple the instances from a coarsely completed semantic scene instead of a raw input image to guide the reconstruction of instances and the overall scene.
Ranked #1 on 3D Semantic Scene Completion on NYUv2
no code implementations • 13 Mar 2021 • Zeyu Jiao, Huan Lei, Hengshan Zong, Yingjie Cai, Zhenyu Zhong
Escalator-related injuries threaten public health with the widespread use of escalators.
no code implementations • CUHK Course IERG5350 2020 • Yingjie Cai, Xiao Zhang
Although state-ofthe-art reinforcement learning (RL) systems has led to breakthroughs in many difficult tasks, the sample inefficiency of standard reinforcement learning methods still precludes their application to more extremely complex tasks.
no code implementations • 5 Feb 2020 • Yingjie Cai, Buyu Li, Zeyu Jiao, Hongsheng Li, Xingyu Zeng, Xiaogang Wang
Monocular 3D object detection task aims to predict the 3D bounding boxes of objects based on monocular RGB images.