Search Results for author: Xuepeng Shi

Found 5 papers, 2 papers with code

3D Distillation: Improving Self-Supervised Monocular Depth Estimation on Reflective Surfaces

no code implementations ICCV 2023 Xuepeng Shi, Georgi Dikov, Gerhard Reitmayr, Tae-Kyun Kim, Mohsen Ghafoorian

Self-supervised monocular depth estimation (SSMDE) aims at predicting the dense depth maps of monocular images, by learning to minimize a photometric loss using spatially neighboring image pairs during training.

Monocular Depth Estimation

Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty

no code implementations6 Dec 2022 Honggyu Choi, Zhixiang Chen, Xuepeng Shi, Tae-Kyun Kim

Unlike existing suboptimal methods, we propose a two-step pseudo-label filtering for the classification and regression heads in a teacher-student framework.

Classification Contrastive Learning +9

Geometry-based Distance Decomposition for Monocular 3D Object Detection

1 code implementation ICCV 2021 Xuepeng Shi, Qi Ye, Xiaozhi Chen, Chuangrong Chen, Zhixiang Chen, Tae-Kyun Kim

The experimental results show that our method achieves the state-of-the-art performance on the monocular 3D Object Detection and Birds Eye View tasks of the KITTI dataset, and can generalize to images with different camera intrinsics.

Autonomous Driving Monocular 3D Object Detection +2

Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks

1 code implementation CVPR 2018 Xuepeng Shi, Shiguang Shan, Meina Kan, Shuzhe Wu, Xilin Chen

Rotation-invariant face detection, i. e. detecting faces with arbitrary rotation-in-plane (RIP) angles, is widely required in unconstrained applications but still remains as a challenging task, due to the large variations of face appearances.

Binary Classification Face Detection

Cannot find the paper you are looking for? You can Submit a new open access paper.