41 citations · 60 across the 10 of their papers we have counts for
10 papers
GeoMotion: Rethinking Motion Segmentation via Latent 4D Geometry
Xiankang He, Peile Lin, Ying Cui +3
Motion segmentation in dynamic scenes is highly challenging, as conventional methods heavily rely on estimating camera poses and point correspondences from inherently noisy motion…
Distill Any Depth: Distillation Creates a Stronger Monocular Depth Estimator
Xiankang He, Dongyan Guo, Hongji Li +3
Recent advances in zero-shot monocular depth estimation(MDE) have significantly improved generalization by unifying depth distributions through normalized depth representations and…
DiffCalib: Reformulating Monocular Camera Calibration as Diffusion-Based Dense Incident Map Generation
Xiankang He, Guangkai Xu, Bo Zhang +3
Monocular camera calibration is a key precondition for numerous 3D vision applications. Despite considerable advancements, existing methods often hinge on specific assumptions and…
PointAttN: You Only Need Attention for Point Cloud Completion
Jun Wang, Ying Cui, Dongyan Guo +3
Point cloud completion referring to completing 3D shapes from partial 3D point clouds is a fundamental problem for 3D point cloud analysis tasks. Benefiting from the development of…
Collaborative Visual Inertial SLAM for Multiple Smart Phones
Jialing Liu, Ruyu Liu, Kaiqi Chen +2
The efficiency and accuracy of mapping are crucial in a large scene and long-term AR applications. Multi-agent cooperative SLAM is the precondition of multi-user AR interaction. Th…
Graph Attention Tracking
Dongyan Guo, Yanyan Shao, Ying Cui +3
Siamese network based trackers formulate the visual tracking task as a similarity matching problem. Almost all popular Siamese trackers realize the similarity learning via convolut…
Consistency-Aware Graph Network for Human Interaction Understanding
Zhenhua Wang, Jiajun Meng, Dongyan Guo +3
Compared with the progress made on human activity classification, much less success has been achieved on human interaction understanding (HIU). Apart from the latter task is much m…
Improving auto-encoder novelty detection using channel attention and entropy minimization
Miao Tian, Dongyan Guo, Ying Cui +2
Novelty detection is a important research area which mainly solves the classification problem of inliers which usually consists of normal samples and outliers composed of abnormal…
SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking
Dongyan Guo, Jun Wang, Ying Cui +2
By decomposing the visual tracking task into two subproblems as classification for pixel category and regression for object bounding box at this pixel, we propose a novel fully con…
End-to-end feature fusion siamese network for adaptive visual tracking
Dongyan Guo, Jun Wang, Weixuan Zhao +3
According to observations, different visual objects have different salient features in different scenarios. Even for the same object, its salient shape and appearance features may…