activity
20182022
most citedAttention-based network for low-light image enhancement

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

collaborators

5 papers

cs.CV2022

Exploring and Evaluating Image Restoration Potential in Dynamic Scenes

Cheng Zhang, Shaolin Su, Yu Zhu +3

In dynamic scenes, images often suffer from dynamic blur due to superposition of motions or low signal-noise ratio resulted from quick shutter speed when avoiding motions. Recoveri…

cs.CV2021

MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection

Cheng Zhang, Tai-Yu Pan, Yandong Li +5

Many objects do not appear frequently enough in complex scenes (e.g., certain handbags in living rooms) for training an accurate object detector, but are often found frequently by…

eess.IV20202 cited

Attention-based network for low-light image enhancement

Cheng Zhang, Qingsen Yan, Yu zhu +3

The captured images under low light conditions often suffer insufficient brightness and notorious noise. Hence, low-light image enhancement is a key challenging task in computer vi…

cs.CV2019

An Empirical Study on Leveraging Scene Graphs for Visual Question Answering

Cheng Zhang, Wei-Lun Chao, Dong Xuan

Visual question answering (Visual QA) has attracted significant attention these years. While a variety of algorithms have been proposed, most of them are built upon different combi…

cs.CV2018

Learning Discriminative 3D Shape Representations by View Discerning Networks

Biao Leng, Cheng Zhang, Xiaocheng Zhou +2

In view-based 3D shape recognition, extracting discriminative visual representation of 3D shapes from projected images is considered the core problem. Projections with low discrimi…