activity
20182021
most citedImproved Selective Refinement Network for Face Detection

32 citations · 32 across the 1 of their papers we have counts for

collaborators

6 papers

cs.CV2021

Boosting Semi-Supervised Face Recognition with Noise Robustness

Yuchi Liu, Hailin Shi, Hang Du +4

Although deep face recognition benefits significantly from large-scale training data, a current bottleneck is the labelling cost. A feasible solution to this problem is semi-superv…

cs.CV2020

Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints

You-Yi Jau, Rui Zhu, Hao Su +1

Estimating relative camera poses from consecutive frames is a fundamental problem in visual odometry (VO) and simultaneous localization and mapping (SLAM), where classic methods co…

cs.CV2020

Single View Metrology in the Wild

Rui Zhu, Xingyi Yang, Yannick Hold-Geoffroy +4

Most 3D reconstruction methods may only recover scene properties up to a global scale ambiguity. We present a novel approach to single view metrology that can recover the absolute…

cs.CV201932 cited

Improved Selective Refinement Network for Face Detection

Shifeng Zhang, Rui Zhu, Xiaobo Wang +5

As a long-standing problem in computer vision, face detection has attracted much attention in recent decades for its practical applications. With the availability of face detection…

cs.CV2018

ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving

Xibin Song, Peng Wang, Dingfu Zhou +6

Autonomous driving has attracted remarkable attention from both industry and academia. An important task is to estimate 3D properties(e.g.translation, rotation and shape) of a movi…

cs.CV2018

ScratchDet: Training Single-Shot Object Detectors from Scratch

Rui Zhu, Shifeng Zhang, Xiaobo Wang +4

Current state-of-the-art object objectors are fine-tuned from the off-the-shelf networks pretrained on large-scale classification dataset ImageNet, which incurs some additional pro…