59 citations · 116 across the 10 of their papers we have counts for
9 papers · 1 filter
IEBins: Iterative Elastic Bins for Monocular Depth Estimation
Shuwei Shao, Zhongcai Pei, Xingming Wu +3
Monocular depth estimation (MDE) is a fundamental topic of geometric computer vision and a core technique for many downstream applications. Recently, several methods reframe the MD…
Online Unsupervised Video Object Segmentation via Contrastive Motion Clustering
Lin Xi, Weihai Chen, Xingming Wu +2
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…
URCDC-Depth: Uncertainty Rectified Cross-Distillation with CutFlip for Monocular Depth Estimation
Shuwei Shao, Zhongcai Pei, Weihai Chen +3
This work aims to estimate a high-quality depth map from a single RGB image. Due to the lack of depth clues, making full use of the long-range correlation and the local information…
Self-Supervised Monocular Depth Estimation with Self-Reference Distillation and Disparity Offset Refinement
Zhong Liu, Ran Li, Shuwei Shao +2
Monocular depth estimation plays a fundamental role in computer vision. Due to the costly acquisition of depth ground truth, self-supervised methods that leverage adjacent frames t…
Real-time Local Feature with Global Visual Information Enhancement
Jinyu Miao, Haosong Yue, Zhong Liu +3
Local feature provides compact and invariant image representation for various visual tasks. Current deep learning-based local feature algorithms always utilize convolution neural n…
Learnable Patchmatch and Self-Teaching for Multi-Frame Depth Estimation in Monocular Endoscopy
Shuwei Shao, Zhongcai Pei, Weihai Chen +2
This work delves into unsupervised monocular depth estimation in endoscopy, which leverages adjacent frames to establish a supervisory signal during the training phase. For many cl…
Implicit Motion-Compensated Network for Unsupervised Video Object Segmentation
Lin Xi, Weihai Chen, Xingming Wu +2
Unsupervised video object segmentation (UVOS) aims at automatically separating the primary foreground object(s) from the background in a video sequence. Existing UVOS methods eithe…
Towards Comprehensive Monocular Depth Estimation: Multiple Heads Are Better Than One
Shuwei Shao, Ran Li, Zhongcai Pei +5
Depth estimation attracts widespread attention in the computer vision community. However, it is still quite difficult to recover an accurate depth map using only one RGB image. We…
Discriminative and Semantic Feature Selection for Place Recognition towards Dynamic Environments
Yuxin Tian, Jinyu MIao, Xingming Wu +3
Features play an important role in various visual tasks, especially in visual place recognition applied in perceptual changing environments. In this paper, we address the challenge…