activity
20212024
most citedELSR: Extreme Low-Power Super Resolution Network For Mobile Devices

2 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

Towards Unsupervised Eye-Region Segmentation for Eye Tracking

Jiangfan Deng, Zhuang Jia, Zhaoxue Wang +2

Finding the eye and parsing out the parts (e.g. pupil and iris) is a key prerequisite for image-based eye tracking, which has become an indispensable module in today's head-mounted…

cs.CV2024

Ground-roll Separation From Land Seismic Records Based on Convolutional Neural Network

Zhuang Jia, Wenkai Lu, Meng Zhang +1

Ground-roll wave is a common coherent noise in land field seismic data. This Rayleigh-type surface wave usually has low frequency, low apparent velocity, and high amplitude, theref…

cs.CV2024★ 1 cited

CondSeg: Ellipse Estimation of Pupil and Iris via Conditioned Segmentation

Zhuang Jia, Jiangfan Deng, Liying Chi +2

Parsing of eye components (i.e. pupil, iris and sclera) is fundamental for eye tracking and gaze estimation for AR/VR products. Mainstream approaches tackle this problem as a multi…

cs.CV2024

A Deep CNN Model for Ringing Effect Attenuation of Vibroseis Data

Zhuang Jia, Wenkai Lu

In the field of exploration geophysics, seismic vibrator is one of the widely used seismic sources to acquire seismic data, which is usually named vibroseis. "Ringing effect" is a…

cs.CV2022★ 2 cited

ELSR: Extreme Low-Power Super Resolution Network For Mobile Devices

Tianyu Xu, Zhuang Jia, Yijian Zhang +2

With the popularity of mobile devices, e.g., smartphone and wearable devices, lighter and faster model is crucial for the application of video super resolution. However, most previ…

cs.CV2021★ 1 cited

Exploring Inter-frequency Guidance of Image for Lightweight Gaussian Denoising

Zhuang Jia

Image denoising is of vital importance in many imaging or computer vision related areas. With the convolutional neural networks showing strong capability in computer vision tasks,…