1 code implementation • CVPR 2023 • Jiahui Liu, Chirui Chang, Jianhui Liu, Xiaoyang Wu, Lan Ma, Xiaojuan Qi
Unlike the single-scan-based semantic segmentation task, this task requires distinguishing the motion states of points in addition to their semantic categories.
1 code implementation • 23 Mar 2023 • Jianhui Liu, Yukang Chen, Xiaoqing Ye, Xiaojuan Qi
Category-level 6D pose estimation aims to predict the poses and sizes of unseen objects from a specific category.
2 code implementations • CVPR 2023 • Xin Lai, Yukang Chen, Fanbin Lu, Jianhui Liu, Jiaya Jia
In this work, we study the varying-sparsity distribution of LiDAR points and present SphereFormer to directly aggregate information from dense close points to the sparse distant ones.
Ranked #1 on
3D Semantic Segmentation
on SemanticKITTI
(using extra training data)
2 code implementations • CVPR 2023 • Yukang Chen, Jianhui Liu, Xiangyu Zhang, Xiaojuan Qi, Jiaya Jia
Our core insight is to predict objects directly based on sparse voxel features, without relying on hand-crafted proxies.
Ranked #1 on
3D Object Detection
on Argoverse2
no code implementations • 28 Sep 2022 • Jianhui Liu, Yukang Chen, Xiaoqing Ye, Zhuotao Tian, Xiao Tan, Xiaojuan Qi
3D scenes are dominated by a large number of background points, which is redundant for the detection task that mainly needs to focus on foreground objects.
2 code implementations • CVPR 2023 • Yukang Chen, Jianhui Liu, Xiangyu Zhang, Xiaojuan Qi, Jiaya Jia
Recent advance in 2D CNNs has revealed that large kernels are important.
4 code implementations • CVPR 2022 • Xin Lai, Jianhui Liu, Li Jiang, LiWei Wang, Hengshuang Zhao, Shu Liu, Xiaojuan Qi, Jiaya Jia
In this paper, we propose Stratified Transformer that is able to capture long-range contexts and demonstrates strong generalization ability and high performance.
Ranked #8 on
Semantic Segmentation
on ScanNet