activity
20182021
most citedAdvances In Video Compression System Using Deep Neural Network: A Review And Case Studies

10 citations · 44 across the 9 of their papers we have counts for

collaborators

11 papers

eess.IV20204 cited

Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model

Haojie Liu, Ming Lu, Zhan Ma +4

Over the past two decades, traditional block-based video coding has made remarkable progress and spawned a series of well-known standards such as MPEG-4, H.264/AVC and H.265/HEVC.…

eess.IV2020

Object-Based Image Coding: A Learning-Driven Revisit

Qi Xia, Haojie Liu, Zhan Ma

The Object-Based Image Coding (OBIC) that was extensively studied about two decades ago, promised a vast application perspective for both ultra-low bitrate communication and high-l…

eess.IV20201 cited

Intelligent Autofocus

Chengyu Wang, Qian Huang, Ming Cheng +2

We demonstrate that deep learning methods can determine the best focus position from 1-2 image samples, enabling 5-10x faster focus than traditional search-based methods. In contra…

eess.IV20202 cited

Smart Cameras

David J. Brady, Minghao Hu, Chengyu Wang +6

We review camera architecture in the age of artificial intelligence. Modern cameras use physical components and software to capture, compress and display image data. Over the past…

eess.IV20193 cited

Learned Video Compression via Joint Spatial-Temporal Correlation Exploration

Haojie Liu, Han shen, Lichao Huang +3

Traditional video compression technologies have been developed over decades in pursuit of higher coding efficiency. Efficient temporal information representation plays a key role i…

eess.IV2019

A Dual Camera System for High Spatiotemporal Resolution Video Acquisition

Ming Cheng, Zhan Ma, M. Salman Asif +4

This paper presents a dual camera system for high spatiotemporal resolution (HSTR) video acquisition, where one camera shoots a video with high spatial resolution and low frame rat…