55 citations · 105 across the 6 of their papers we have counts for
7 papers
Learning Cross-View Semantic Priors for Single-Reference Unseen Object Pose Estimation
Jiahong Chen, Jinghao Wang, Ziwen Wang +3
Single-reference unseen object 6D pose estimation reduces object onboarding by estimating poses of arbitrary novel objects from only one reference view. Recent correspondence-based…
DKPMV: Dense Keypoints Fusion from Multi-View RGB Frames for 6D Pose Estimation of Textureless Objects
Jiahong Chen, Jinghao Wang, Zi Wang +3
6D pose estimation of textureless objects is valuable for industrial robotic applications, yet remains challenging due to the frequent loss of depth information. Current multi-view…
Deterministic Object Pose Confidence Region Estimation
Jinghao Wang, Zhang Li, Zi Wang +3
6D pose confidence region estimation has emerged as a critical direction, aiming to perform uncertainty quantification for assessing the reliability of estimated poses. However, cu…
Small Aerial Target Detection for Airborne Infrared Detection Systems using LightGBM and Trajectory Constraints
Xiaoliang Sun, Liangchao Guo, Wenlong Zhang +2
Factors, such as rapid relative motion, clutter background, etc., make robust small aerial target detection for airborne infrared detection systems a challenge. Existing methods ar…
TD-NeRF: Novel Truncated Depth Prior for Joint Camera Pose and Neural Radiance Field Optimization
Zhen Tan, Zongtan Zhou, Yangbing Ge +3
The reliance on accurate camera poses is a significant barrier to the widespread deployment of Neural Radiance Fields (NeRF) models for 3D reconstruction and SLAM tasks. The existi…
Oriented object detection in optical remote sensing images using deep learning: a survey
Kun Wang, Zi Wang, Zhang Li +5
Oriented object detection is a fundamental yet challenging task in remote sensing (RS), aiming to locate and classify objects with arbitrary orientations. Recent advancements in de…
Bridging the Domain Gap in Satellite Pose Estimation: a Self-Training Approach based on Geometrical Constraints
Zi Wang, Minglin Chen, Yulan Guo +2
Recently, unsupervised domain adaptation in satellite pose estimation has gained increasing attention, aiming at alleviating the annotation cost for training deep models. To this e…