1 code implementation • 11 Nov 2022 • Zeyu Hu, Xuyang Bai, Runze Zhang, Xin Wang, Guangyuan Sun, Hongbo Fu, Chiew-Lan Tai
We propose LiDAL, a novel active learning method for 3D LiDAR semantic segmentation by exploiting inter-frame uncertainty among LiDAR frames.
1 code implementation • CVPR 2022 • Xuyang Bai, Zeyu Hu, Xinge Zhu, Qingqiu Huang, Yilun Chen, Hongbo Fu, Chiew-Lan Tai
The attention mechanism of the transformer enables our model to adaptively determine where and what information should be taken from the image, leading to a robust and effective fusion strategy.
Ranked #3 on 3D Object Detection on nuScenes LiDAR only
1 code implementation • ICCV 2021 • Hongkai Chen, Zixin Luo, Jiahui Zhang, Lei Zhou, Xuyang Bai, Zeyu Hu, Chiew-Lan Tai, Long Quan
2) Seeded Graph Neural Network, which utilizes seed matches to pass messages within/across images and predicts assignment costs.
1 code implementation • ICCV 2021 • Zeyu Hu, Xuyang Bai, Jiaxiang Shang, Runze Zhang, Jiayu Dong, Xin Wang, Guangyuan Sun, Hongbo Fu, Chiew-Lan Tai
Experimental results validate the effectiveness of VMNet: specifically, on the challenging ScanNet dataset for large-scale segmentation of indoor scenes, it outperforms the state-of-the-art SparseConvNet and MinkowskiNet (74. 6% vs 72. 5% and 73. 6% in mIoU) with a simpler network structure (17M vs 30M and 38M parameters).
1 code implementation • CVPR 2021 • Xuyang Bai, Zixin Luo, Lei Zhou, Hongkai Chen, Lei LI, Zeyu Hu, Hongbo Fu, Chiew-Lan Tai
Removing outlier correspondences is one of the critical steps for successful feature-based point cloud registration.
no code implementations • ICCV 2021 • Jingyuan Liu, Mingyi Shi, Qifeng Chen, Hongbo Fu, Chiew-Lan Tai
We present a novel approach for extracting human pose features from human action videos.
1 code implementation • ECCV 2020 • Zeyu Hu, Mingmin Zhen, Xuyang Bai, Hongbo Fu, Chiew-Lan Tai
Semantic segmentation and semantic edge detection can be seen as two dual problems with close relationships in computer vision.
Ranked #31 on Semantic Segmentation on S3DIS
1 code implementation • CVPR 2020 • Lei Li, Siyu Zhu, Hongbo Fu, Ping Tan, Chiew-Lan Tai
In this work, we propose an end-to-end framework to learn local multi-view descriptors for 3D point clouds.
Ranked #5 on Point Cloud Registration on 3DMatch Benchmark
2 code implementations • CVPR 2020 • Xuyang Bai, Zixin Luo, Lei Zhou, Hongbo Fu, Long Quan, Chiew-Lan Tai
In this paper, we leverage a 3D fully convolutional network for 3D point clouds, and propose a novel and practical learning mechanism that densely predicts both a detection score and a description feature for each 3D point.
Ranked #2 on Point Cloud Registration on KITTI
no code implementations • 16 Jan 2020 • Deng Yu, Lei LI, Youyi Zheng, Manfred Lau, Yi-Zhe Song, Chiew-Lan Tai, Hongbo Fu
In this paper, we study the problem of multi-view sketch correspondence, where we take as input multiple freehand sketches with different views of the same object and predict as output the semantic correspondence among the sketches.
no code implementations • 20 Nov 2018 • Lei Li, Changqing Zou, Youyi Zheng, Qingkun Su, Hongbo Fu, Chiew-Lan Tai
To bridge the gap between these two spaces in neural networks, we propose a neural line rasterization module to convert the vector sketch along with the attention estimated by RNN into a bitmap image, which is subsequently consumed by CNN.
no code implementations • ICCV 2015 • Jingbo Liu, Jinglu Wang, Tian Fang, Chiew-Lan Tai, Long Quan
In this paper, we propose a structural segmentation algorithm to partition multi-view stereo reconstructed surfaces of large-scale urban environments into structural segments.