no code implementations • 17 May 2023 • Weitao Chen, Hongbin Xu, Zhipeng Zhou, Yang Liu, Baigui Sun, Wenxiong Kang, Xuansong Xie
The Residual Depth-Aware Cost Transformer(RDACT) is proposed to aggregate long-range features on cost volume via self-attention mechanisms along the depth and spatial dimensions.
1 code implementation • 18 Apr 2023 • Zisheng Chen, Hongbin Xu, Weitao Chen, Zhipeng Zhou, Haihong Xiao, Baigui Sun, Xuansong Xie, Wenxiong Kang
Semantic segmentation of point clouds usually requires exhausting efforts of human annotations, hence it attracts wide attention to the challenging topic of learning from unlabeled or weaker forms of annotations.
1 code implementation • ICCV 2023 • Zisheng Chen, Hongbin Xu, Weitao Chen, Zhipeng Zhou, Haihong Xiao, Baigui Sun, Xuansong Xie, Wenxiong Kang
Semantic segmentation of point clouds usually requires exhausting efforts of human annotations, hence it attracts wide attention to a challenging topic of learning from unlabeled or weaker form of annotations.
1 code implementation • CVPR 2023 • Zhipeng Zhou, Lanqing Li, Peilin Zhao, Pheng-Ann Heng, Wei Gong
It's widely acknowledged that deep learning models with flatter minima in its loss landscape tend to generalize better.
no code implementations • CVPR 2023 • Yang Liu, Zhipeng Zhou, Baigui Sun
To cope with two aforementioned issues, we propose a Clustering-based Optimal Transport (COT) algorithm, which formulates the alignment procedure as an Optimal Transport problem and constructs a mapping between clustering centers in the source and target domain via an end-to-end manner.
1 code implementation • 16 Sep 2022 • Lanqing Li, Liang Zeng, Ziqi Gao, Shen Yuan, Yatao Bian, Bingzhe Wu, Hengtong Zhang, Yang Yu, Chan Lu, Zhipeng Zhou, Hongteng Xu, Jia Li, Peilin Zhao, Pheng-Ann Heng
The last decade has witnessed a prosperous development of computational methods and dataset curation for AI-aided drug discovery (AIDD).
no code implementations • 24 Jul 2022 • Hongbin Xu, Weitao Chen, Yang Liu, Zhipeng Zhou, Haihong Xiao, Baigui Sun, Xuansong Xie, Wenxiong Kang
For further troublesome case that the basic assumption is conflicted in MVS data, we propose a novel style consistency loss to alleviate the negative effect caused by the distribution gap.
no code implementations • 21 Feb 2022 • Qingsong Zhao, Yi Wang, Zhipeng Zhou, Duoqian Miao, LiMin Wang, Yu Qiao, Cairong Zhao
Flattening is essential in computer vision by converting multi-dimensional feature maps or images into one-dimensional vectors.
no code implementations • 20 Jan 2022 • Mingye Xu, Yali Wang, Zhipeng Zhou, Hongbin Xu, Yu Qiao
To fill this gap, we propose a generic Contour-Perturbed Reconstruction Network (CP-Net), which can effectively guide self-supervised reconstruction to learn semantic content in the point cloud, and thus promote discriminative power of point cloud representation.
no code implementations • 27 Nov 2021 • Yiwei Qiu, Jin Lin, Zhipeng Zhou, Ningyi Dai, Feng Liu, Yonghua Song
To fill this gap, this article finds that an accurate SDE model for PV power can be constructed by only using the cheap data from low-resolution public weather reports.
no code implementations • 29 Sep 2021 • Yang Liu, Zhipeng Zhou, Lei Shang, Baigui Sun, Hao Li, Rong Jin
Unsupervised domain adaptation (UDA) aims to transfer the knowledge from a labeled source domain to an unlabeled target domain.
no code implementations • 15 Sep 2021 • Junhao Zhang, Yali Wang, Zhipeng Zhou, Tianyu Luan, Zhe Wang, Yu Qiao
Graph Convolution Network (GCN) has been successfully used for 3D human pose estimation in videos.
Ranked #10 on 3D Human Pose Estimation on HumanEva-I
no code implementations • 8 Sep 2021 • Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin
In this paper, we further investigate this problem and extend the above conclusion: only early convolutions do not help for stable training, but the scaled ReLU operation in the \textit{convolutional stem} (\textit{conv-stem}) matters.
1 code implementation • ICCV 2021 • Hongbin Xu, Zhipeng Zhou, Yali Wang, Wenxiong Kang, Baigui Sun, Hao Li, Yu Qiao
Specially, the limitations can be categorized into two types: ambiguious supervision in foreground and invalid supervision in background.
1 code implementation • CVPR 2022 • Kai Wang, Shuo Wang, Panpan Zhang, Zhipeng Zhou, Zheng Zhu, Xiaobo Wang, Xiaojiang Peng, Baigui Sun, Hao Li, Yang You
This method adopts Dynamic Class Pool (DCP) for storing and updating the identities features dynamically, which could be regarded as a substitute for the FC layer.
Ranked #1 on Face Verification on IJB-C (training dataset metric)
1 code implementation • 1 May 2021 • Marshall Ho, Zhipeng Zhou, Judith He
We present 3 different question-answering models trained on the SQuAD2. 0 dataset -- BIDAF, DocumentQA and ALBERT Retro-Reader -- demonstrating the improvement of language models in the past three years.
1 code implementation • 12 Apr 2021 • Hongbin Xu, Zhipeng Zhou, Yu Qiao, Wenxiong Kang, Qiuxia Wu
Recent studies have witnessed that self-supervised methods based on view synthesis obtain clear progress on multi-view stereo (MVS).
2 code implementations • CVPR 2022 • Yang Liu, Fei Wang, Jiankang Deng, Zhipeng Zhou, Baigui Sun, Hao Li
As a result, practical solutions on label assignment, scale-level data augmentation, and reducing false alarms are necessary for advancing face detectors.
Ranked #13 on Face Detection on WIDER Face (Easy)
1 code implementation • 18 Mar 2021 • Mingye Xu, Zhipeng Zhou, Junhao Zhang, Yu Qiao
This paper investigates the indistinguishable points (difficult to predict label) in semantic segmentation for large-scale 3D point clouds.
no code implementations • 16 Mar 2021 • Tianyu Luan, Yali Wang, Junhao Zhang, Zhe Wang, Zhipeng Zhou, Yu Qiao
By coupling advanced 3D pose estimators and HMR in a serial or parallel manner, these two frameworks can effectively correct human mesh with guidance of a concise pose calibration module.
Ranked #4 on 3D Human Pose Estimation on Surreal
no code implementations • 3 Mar 2021 • Liang Hu, Yujie Tang, Zhipeng Zhou, Wei Pan
This paper presents a deep reinforcement learning (DRL) algorithm for orientation estimation using inertial sensors combined with magnetometer.
no code implementations • 1 Jan 2021 • Minghao Han, Zhipeng Zhou, Lixian Zhang, Jun Wang, Wei Pan
Reinforcement learning is promising to control dynamical systems for which the traditional control methods are hardly applicable.
3 code implementations • 20 Dec 2020 • Mutian Xu, Junhao Zhang, Zhipeng Zhou, Mingye Xu, Xiaojuan Qi, Yu Qiao
GDANet introduces Geometry-Disentangle Module to dynamically disentangle point clouds into the contour and flat part of 3D objects, respectively denoted by sharp and gentle variation components.
Ranked #1 on Point Cloud Segmentation on PointCloud-C
1 code implementation • CVPR 2020 • Xianhang Li, Yali Wang, Zhipeng Zhou, Yu Qiao
Our SmallBig network outperforms a number of recent state-of-the-art approaches, in terms of accuracy and/or efficiency.
1 code implementation • 23 Dec 2019 • Mingye Xu, Zhipeng Zhou, Yu Qiao
Specially, GS-Net consists of Geometry Similarity Connection (GSC) modules which exploit Eigen-Graph to group distant points with similar and relevant geometric information, and aggregate features from nearest neighbors in both Euclidean space and Eigenvalue space.
Ranked #7 on 3D Point Cloud Classification on IntrA
no code implementations • 18 Jul 2019 • Zhipeng Zhou, Rui Zhang, Dong Yin
Firstly, the modified pre-trained VGG16 network is fine-tuned as the backbone.
no code implementations • 8 Mar 2018 • Mingyue Yuan, Dong Yin, Jingwen Ding, Yuhao Luo, Zhipeng Zhou, Chengfeng Zhu, Rui Zhang
In this paper, we propose a novel framework with rules of updating images for person re-identification in real-world surveillance system.