output
20152024
most citedUnitBox: An Advanced Object Detection Network

1.6k citations

Showing 2021Show all

7 papers · 1 filter

cs.CV2021★ 7 cited

SiamPolar: Semi-supervised Realtime Video Object Segmentation with Polar Representation

Yaochen Li, Yuhui Hong, Yonghong Song +3

Video object segmentation (VOS) is an essential part of autonomous vehicle navigation. The real-time speed is very important for the autonomous vehicle algorithms along with the ac…

cs.CV2021★ 1 cited

Temporal Knowledge Consistency for Unsupervised Visual Representation Learning

Weixin Feng, Yuanjiang Wang, Lihua Ma +2

The instance discrimination paradigm has become dominant in unsupervised learning. It always adopts a teacher-student framework, in which the teacher provides embedded knowledge as…

astro-ph.EP2021★ 17 cited

Identify Light-Curve Signals with Deep Learning Based Object Detection Algorithm. I. Transit Detection

Kaiming Cui, Junjie Liu, Fabo Feng +1

Deep learning techniques have been well explored in the transiting exoplanet field; however, previous work mainly focuses on classification and inspection. In this work, we develop…

cs.CV2021★ 24 cited

GyroFlow: Gyroscope-Guided Unsupervised Optical Flow Learning

Haipeng Li, Kunming Luo, Shuaicheng Liu

Existing optical flow methods are erroneous in challenging scenes, such as fog, rain, and night because the basic optical flow assumptions such as brightness and gradient constancy…

eess.IV2021★ 42 cited

UPHDR-GAN: Generative Adversarial Network for High Dynamic Range Imaging with Unpaired Data

Ru Li, Chuan Wang, Jue Wang +4

The paper proposes a method to effectively fuse multi-exposure inputs and generate high-quality high dynamic range (HDR) images with unpaired datasets. Deep learning-based HDR imag…

cs.CV2021★ 17 cited

DeepOIS: Gyroscope-Guided Deep Optical Image Stabilizer Compensation

Haipeng Li, Shuaicheng Liu, Jue Wang

Mobile captured images can be aligned using their gyroscope sensors. Optical image stabilizer (OIS) terminates this possibility by adjusting the images during the capturing. In thi…

cs.CV2021★ 42 cited

JigsawGAN: Auxiliary Learning for Solving Jigsaw Puzzles with Generative Adversarial Networks

Ru Li, Shuaicheng Liu, Guangfu Wang +2

The paper proposes a solution based on Generative Adversarial Network (GAN) for solving jigsaw puzzles. The problem assumes that an image is divided into equal square pieces, and a…