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Zhengming Zhou

2 accepted papers

2023

Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-Supervised Depth Estimation

ICCV 2023poster

Monocular and binocular self-supervised depth estimations are two important and related tasks in computer vision, which aim to predict scene depths from single images and stereo image pairs respectively. In literature, the two tasks are usually tackled separately by two different kinds of models, an…

Cited by 15PDFcodeScholar
2022

Self-Distilled Feature Aggregation for Self-Supervised Monocular Depth Estimation

ECCV 2022poster

"Self-supervised monocular depth estimation has received much attention recently in computer vision. Most of the existing works in literature aggregate multi-scale features for depth prediction via either straightforward concatenation or element-wise addition, however, such feature aggregation opera…