most citedLearning Generalized Visual Odometry Using Position-Aware Optical Flow and Geometric Bundle Adjustment

16 citations · 43 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2022★ 14 cited

Unsupervised Visual Odometry and Action Integration for PointGoal Navigation in Indoor Environment

Yijun Cao, Xianshi Zhang, Fuya Luo +2

PointGoal navigation in indoor environment is a fundamental task for personal robots to navigate to a specified point. Recent studies solved this PointGoal navigation task with nea…

cs.CV2022

Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays

Xinxu Wei, Haohan Bai, Xianshi Zhang +1

Computer-aided X-ray pneumonia lesion recognition is important for accurate diagnosis of pneumonia. With the emergence of deep learning, the identification accuracy of pneumonia ha…

cs.CV2021★ 16 cited

Learning Generalized Visual Odometry Using Position-Aware Optical Flow and Geometric Bundle Adjustment

Yijun Cao, Xianshi Zhang, Fuya Luo +2

Recent visual odometry (VO) methods incorporating geometric algorithm into deep-learning architecture have shown outstanding performance on the challenging monocular VO task. Despi…

eess.IV2021

TSN-CA: A Two-Stage Network with Channel Attention for Low-Light Image Enhancement

Xinxu Wei, Xianshi Zhang, Shisen Wang +2

Low-light image enhancement is a challenging low-level computer vision task because after we enhance the brightness of the image, we have to deal with amplified noise, color distor…

eess.IV2021★ 5 cited

DA-DRN: Degradation-Aware Deep Retinex Network for Low-Light Image Enhancement

Xinxu Wei, Xianshi Zhang, Shisen Wang +4

Images obtained in real-world low-light conditions are not only low in brightness, but they also suffer from many other types of degradation, such as color distortion, unknown nois…

eess.IV2021★ 3 cited

BLNet: A Fast Deep Learning Framework for Low-Light Image Enhancement with Noise Removal and Color Restoration

Xinxu Wei, Xianshi Zhang, Shisen Wang +4

Images obtained in real-world low-light conditions are not only low in brightness, but they also suffer from many other types of degradation, such as color bias, unknown noise, det…

cs.CV2021★ 5 cited

Thermal Infrared Image Colorization for Nighttime Driving Scenes with Top-Down Guided Attention

Fuya Luo, Yunhan Li, Guang Zeng +3

Benefitting from insensitivity to light and high penetration of foggy environments, infrared cameras are widely used for sensing in nighttime traffic scenes. However, the low contr…