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20192024
most citedOcclusion-shared and Feature-separated Network for Occlusion Relationship Reasoning

3 citations · 6 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024

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…

cs.CV2021

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…

cs.CV2019★ 3 cited

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…

cs.CV2019★ 1 cited

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…

cs.CV2019★ 2 cited

Context-Constrained Accurate Contour Extraction for Occlusion Edge Detection

Rui Lu, Menghan Zhou, Anlong Ming +1

Occlusion edge detection requires both accurate locations and context constraints of the contour. Existing CNN-based pipeline does not utilize adaptive methods to filter the noise…