55 citations · 119 across the 13 of their papers we have counts for
14 papers
Sharp bounds and extremal structure of minimally strongly -connected digraphs
Junran Yu, Gregory Gutin, Hong-Jian Lai +1
Let be a finite simple minimally strongly -connected digraph, where , and let . Mader proved in 1985 that for all sufficiently large $n…
DECO: Depth-Guided Co-Visibility Reasoning for Low-Altitude UAV Visual Localization
Yibin Ye, Xichao Teng, Shuo Chen +4
Unmanned aerial vehicles (UAVs) increasingly require robust visual localization in GNSS-denied environments. A common solution estimates UAV poses by matching keypoints between UAV…
Differential 6-DOF Pose Estimation with Provable First-Order Immunity to Camera Calibration Errors
Yueqiang Zhang, Liang Deng, Yi Zhang +5
Accurate six-degree-of-freedom (6-DOF) motion estimation is essential for robotic manipulation, autonomous systems, and structural displacement monitoring. Conventional 3D-2D metho…
A Geometric Framework for Absolute Pose and Velocity Estimation with Event Cameras
Zibin Liu, Shunkun Liang, Banglei Guan +3
Despite the rapid advancements in event-based motion estimation, current geometric methods primarily focus on velocity estimation. However, absolute pose estimation, which is equal…
An Opticalmechanics Framework for Dynamic Estimation of Multibody Systems
Banglei Guan, Xuanyu Bai, Qingquan Chen +5
Conventional dynamics analysis of the human body is often constrained by the need for contact force and torque sensors and controlled laboratory environments. To address this issue…
Event-driven dynamic trajectories reconstruction and measurement of mechanical parameters for fragments
Haoyang Li, Banglei Guan, Muxi Zha +4
During warhead detonation, high-density, high-speed, and mutually occluded fragments are generated. Their mechanical parameters (position, velocity, kinetic energy) directly determ…
Minimal Solvers for Full-DoF Motion Estimation from Asynchronous Differential SfM
Shuo Pan, Banglei Guan, Bin Li +5
As a bio-inspired intelligent sensor, event cameras have introduced a new paradigm in the intelligent perception of spatiotemporal information and visual motion estimation, charact…
Line-based 6-DoF Object Pose Estimation and Tracking With an Event Camera
Zibin Liu, Banglei Guan, Yang Shang +2
Pose estimation and tracking of objects is a fundamental application in 3D vision. Event cameras possess remarkable attributes such as high dynamic range, low latency, and resilien…
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…
3MOS: Multi-sources, Multi-resolutions, and Multi-scenes dataset for Optical-SAR image matching
Yibin Ye, Xichao Teng, Shuo Chen +3
Optical-SAR image matching is a fundamental task for image fusion and visual navigation. However, all large-scale open SAR dataset for methods development are collected from single…
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…
Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images -- the ACDC@LungHP Challenge 2019
Zhang Li, Jiehua Zhang, Tao Tan +30
Accurate segmentation of lung cancer in pathology slides is a critical step in improving patient care. We proposed the ACDC@LungHP (Automatic Cancer Detection and Classification in…
Learning Image Matching by Simply Watching Video
Gucan Long, Laurent Kneip, Jose M. Alvarez +1
This work presents an unsupervised learning based approach to the ubiquitous computer vision problem of image matching. We start from the insight that the problem of frame-interpol…