1 code implementation • 11 Oct 2023 • Haibo Qiu, Baosheng Yu, Yixin Chen, DaCheng Tao
Significant progress has been made recently in point cloud segmentation utilizing an encoder-decoder framework, which initially encodes point clouds into low-resolution representations and subsequently decodes high-resolution predictions.
Ranked #5 on Semantic Segmentation on ScanNet
1 code implementation • 2 Jun 2023 • Haibo Qiu, Baosheng Yu, DaCheng Tao
In this paper, we propose a new transformer network equipped with a collect-and-distribute mechanism to communicate short- and long-range contexts of point clouds, which we refer to as CDFormer.
1 code implementation • 6 Jul 2022 • Haibo Qiu, Baosheng Yu, DaCheng Tao
However, recent projection-based methods for point cloud semantic segmentation usually utilize a vanilla late fusion strategy for the predictions of different views, failing to explore the complementary information from a geometric perspective during the representation learning.
Ranked #1 on Robust 3D Semantic Segmentation on nuScenes-C
1 code implementation • 21 Aug 2021 • Haibo Qiu, Dihong Gong, Zhifeng Li, Wei Liu, DaCheng Tao
However, the state-of-the-art general face recognition models do not generalize well to occluded face images, which are exactly the common cases in real-world scenarios.
1 code implementation • ICCV 2021 • Haibo Qiu, Baosheng Yu, Dihong Gong, Zhifeng Li, Wei Liu, DaCheng Tao
We then analyze the underlying causes behind the performance gap, e. g., the poor intra-class variations and the domain gap between synthetic and real face images.
1 code implementation • ICCV 2019 • Haibo Qiu, Chunyu Wang, Jingdong Wang, Naiyan Wang, Wen-Jun Zeng
It consists of two separate steps: (1) estimating the 2D poses in multi-view images and (2) recovering the 3D poses from the multi-view 2D poses.
Ranked #6 on 3D Human Pose Estimation on Total Capture