1 code implementation • 13 Nov 2023 • Shuwei Shao, Zhongcai Pei, Weihai Chen, Dingchi Sun, Peter C. Y. Chen, Zhengguo Li
Because the depth ground-truth is unavailable in the training phase, we develop a pseudo ground-truth diffusion process to assist the diffusion in MonoDiffusion.
1 code implementation • 13 Nov 2023 • Shuwei Shao, Zhongcai Pei, Weihai Chen, Peter C. Y. Chen, Zhengguo Li
To this end, we develop a normal-distance head that outputs pixel-level surface normal and distance.
1 code implementation • NeurIPS 2023 • Shuwei Shao, Zhongcai Pei, Xingming Wu, Zhong Liu, Weihai Chen, Zhengguo Li
To alleviate the possible error accumulation during the iterative process, we utilize a novel elastic target bin to replace the original target bin, the width of which is adjusted elastically based on the depth uncertainty.
Ranked #13 on Monocular Depth Estimation on KITTI Eigen split
1 code implementation • ICCV 2023 • Shuwei Shao, Zhongcai Pei, Weihai Chen, Xingming Wu, Zhengguo Li
Meanwhile, the normal and distance are regularized by a developed plane-aware consistency constraint.
Ranked #13 on Monocular Depth Estimation on KITTI Eigen split
2 code implementations • 21 Jun 2023 • Lin Xi, Weihai Chen, Xingming Wu, Zhong Liu, Zhengguo Li
Online unsupervised video object segmentation (UVOS) uses the previous frames as its input to automatically separate the primary object(s) from a streaming video without using any further manual annotation.
2 code implementations • 7 Apr 2023 • Xiaoming Zhao, Xingming Wu, Weihai Chen, Peter C. Y. Chen, Qingsong Xu, Zhengguo Li
Image keypoints and descriptors play a crucial role in many visual measurement tasks.
1 code implementation • 16 Mar 2023 • Lin Xi, Weihai Chen, Changchen Zhao, Xingming Wu, Jianhua Wang
Using collected dataset, we found 1) face detection algorithm cannot detect faces in video captured in low light conditions; 2) A decrease in the amplitude of the pulsatile signal will lead to the noise signal to be in the dominant position; and 3) the chrominance-based method suffers from the limitation in the assumption about skin-tone will not hold, and Green and ICA method receive less influence than POS in dark illuminance environment.
1 code implementation • 20 Feb 2023 • Zhong Liu, Ran Li, Shuwei Shao, Xingming Wu, Weihai Chen
In this work, we propose two novel ideas to improve self-supervised monocular depth estimation: 1) self-reference distillation and 2) disparity offset refinement.
1 code implementation • 16 Feb 2023 • Shuwei Shao, Zhongcai Pei, Weihai Chen, Ran Li, Zhong Liu, Zhengguo Li
Specifically, we use the depth estimates from the Transformer branch and the CNN branch as pseudo labels to teach each other.
Ranked #13 on Monocular Depth Estimation on KITTI Eigen split
no code implementations • Medical Engineering & Physics 2022 • Lin Xi, Xingming Wu, Weihai Chen, Jianhua Wang, Changchen Zhao
The test results verify that the proposed method has stronger robustness to low illumination than state-of-the-art methods, effectively improving the signal-to-noise ratio and heart rate estimation precision.
no code implementations • 30 May 2022 • Shuwei Shao, Zhongcai Pei, Weihai Chen, Xingming Wu, Zhong Liu, Zhengguo Li
Unsupervised monocular trained depth estimation models make use of adjacent frames as a supervisory signal during the training phase.
1 code implementation • 6 Apr 2022 • Lin Xi, Weihai Chen, Xingming Wu, Zhong Liu, Zhengguo Li
Unsupervised video object segmentation (UVOS) aims at automatically separating the primary foreground object(s) from the background in a video sequence.
no code implementations • 31 Dec 2021 • Xiaoming Zhao, Weihai Chen, Xingming Wu, Peter C. Y. Chen, Zhengguo Li
Deep stereo matching has made significant progress in recent years.
no code implementations • 25 Dec 2021 • Ziyang Liu, Zhengguo Li, Xingming Wu, Zhong Liu, Weihai Chen
The proposed method, named DSRGAN, includes a well designed detail extraction algorithm to capture the most important high frequency information from images.
1 code implementation • 15 Dec 2021 • Shuwei Shao, Zhongcai Pei, Weihai Chen, Wentao Zhu, Xingming Wu, Dianmin Sun, Baochang Zhang
Recently, self-supervised learning technology has been applied to calculate depth and ego-motion from monocular videos, achieving remarkable performance in autonomous driving scenarios.
2 code implementations • 6 Dec 2021 • Xiaoming Zhao, Xingming Wu, Jinyu Miao, Weihai Chen, Peter C. Y. Chen, Zhengguo Li
The reprojection loss is then proposed to directly optimize these sub-pixel keypoints, and the dispersity peak loss is presented for accurate keypoints regularization.
1 code implementation • 20 Nov 2021 • Ziyang Liu, Jingmeng Liu, Weihai Chen, Xingming Wu, Zhengguo Li
A FAMINet, which consists of a feature extraction network (F), an appearance network (A), a motion network (M), and an integration network (I), is proposed in this study to address the abovementioned problem.
no code implementations • 17 Nov 2021 • Xiaoming Zhao, Jingmeng Liu, Xingming Wu, Weihai Chen, Fanghong Guo, Zhengguo Li
Keypoints matching is a pivotal component for many image-relevant applications such as image stitching, visual simultaneous localization and mapping (SLAM), and so on.
no code implementations • 16 Nov 2021 • Shuwei Shao, Ran Li, Zhongcai Pei, Zhong Liu, Weihai Chen, Wentao Zhu, Xingming Wu, Baochang Zhang
In this work, we investigate into the phenomenon and propose to integrate the strengths of multiple weak depth predictor to build a comprehensive and accurate depth predictor, which is critical for many real-world applications, e. g., 3D reconstruction.
no code implementations • 14 Nov 2021 • Yilun Xu, Zhengguo Li, Weihai Chen, Changyun Wen
It is challenging to align the brightness distribution of the images with different exposures due to possible color distortion and loss of details in the brightest and darkest regions of input images.
no code implementations • 14 Nov 2021 • Yilun Xu, Ziyang Liu, Xingming Wu, Weihai Chen, Changyun Wen, Zhengguo Li
For the former challenge, a spatially varying convolution (SVC) is designed to process the Bayer images carried with varying exposures.
no code implementations • 30 Jul 2021 • Haosong Yue, Jinyu Miao, Weihai Chen, Wei Wang, Fanghong Guo, Zhengguo Li
Localizing pre-visited places during long-term simultaneous localization and mapping, i. e. loop closure detection (LCD), is a crucial technique to correct accumulated inconsistencies.
Loop Closure Detection Simultaneous Localization and Mapping
no code implementations • 18 Mar 2021 • Yuxin Tian, Jinyu Miao, Xingming Wu, Haosong Yue, Zhong Liu, Weihai Chen
In this paper, we address the challenges of place recognition due to dynamics and confusable patterns by proposing a discriminative and semantic feature selection network, dubbed as DSFeat.
no code implementations • 13 Jul 2019 • Lei Zhang, Weihai Chen, Chao Hu, Xingming Wu, Zhengguo Li
In this paper, a lightweight yet efficient network (S\&CNet) is proposed to obtain a good trade-off between efficiency and accuracy for the dense depth completion.
no code implementations • 11 Jul 2014 • Guanjiao Ren, Weihai Chen, Sakyasingha Dasgupta, Christoph Kolodziejski, Florentin Wörgötter, Poramate Manoonpong
To address this problem, we extend the single chaotic CPG to multiple CPGs with learning.