3 citations · 5 across the 14 of their papers we have counts for
10 papers · 1 filter
DepthART: Scaling Foundation Monocular Depth to Tiny Models
Feng Xue, Wu Chen, Mingshuai Zhao +7
Recent geometric foundation models (e.g., Metric3D, Depth Anything and UniDepth) have substantially improved monocular depth estimation (MDE) in both cross-scene generalization and…
The Fourth Monocular Depth Estimation Challenge
Anton Obukhov, Matteo Poggi, Fabio Tosi +54
This paper presents the results of the fourth edition of the Monocular Depth Estimation Challenge (MDEC), which focuses on zero-shot generalization to the SYNS-Patches benchmark, a…
SM4Depth: Seamless Monocular Metric Depth Estimation across Multiple Cameras and Scenes by One Model
Yihao Liu, Feng Xue, Anlong Ming +3
In the last year, universal monocular metric depth estimation (universal MMDE) has gained considerable attention, serving as the foundation model for various multimedia tasks, such…
Indoor Obstacle Discovery on Reflective Ground via Monocular Camera
Feng Xue, Yicong Chang, Tianxi Wang +2
Visual obstacle discovery is a key step towards autonomous navigation of indoor mobile robots. Successful solutions have many applications in multiple scenes. One of the exceptions…
Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects
Wenteng Liang, Feng Xue, Yihao Liu +2
The recently proposed open-world object and open-set detection have achieved a breakthrough in finding never-seen-before objects and distinguishing them from known ones. However, t…
Monocular Depth Distribution Alignment with Low Computation
Fei Sheng, Feng Xue, Yicong Chang +2
The performance of monocular depth estimation generally depends on the amount of parameters and computational cost. It leads to a large accuracy contrast between light-weight netwo…
Fast Road Segmentation via Uncertainty-aware Symmetric Network
Yicong Chang, Feng Xue, Fei Sheng +2
The high performance of RGB-D based road segmentation methods contrasts with their rare application in commercial autonomous driving, which is owing to two reasons: 1) the prior me…
Boundary-induced and scene-aggregated network for monocular depth prediction
Feng Xue, Junfeng Cao, Yu Zhou +3
Monocular depth prediction is an important task in scene understanding. It aims to predict the dense depth of a single RGB image. With the development of deep learning, the perform…
Occlusion-shared and Feature-separated Network for Occlusion Relationship Reasoning
Rui Lu, Feng Xue, Menghan Zhou +2
Occlusion relationship reasoning demands closed contour to express the object, and orientation of each contour pixel to describe the order relationship between objects. Current CNN…
A Novel Multi-layer Framework for Tiny Obstacle Discovery
Feng Xue, Anlong Ming, Menghan Zhou +1
For tiny obstacle discovery in a monocular image, edge is a fundamental visual element. Nevertheless, because of various reasons, e.g., noise and similar color distribution with ba…