Explanipedia

27%-efficiency silicon heterojunction cell with 98.6% cell-to-module ratio driving new momentum towards the 29.4% limit Open

Zhigang Xie, Haiming Lu, Guangtao Yang, Zhan Gao, Kun Zhu , et al. · 2025

Solid-state low-threshold hemispherical shell-shaped protein whispering-gallery mode laser Open

Zibo Meng, Jiajia Meng, Gaoshang Li, X.G. Cui, Jiyang Ma , et al. · 2025

Protein-based whispering-gallery mode (WGM) lasers offer great potential for biosensing due to their biodegradability, biocompatibility, and non-toxicity. Here, we report a solid-state hemispherical shell–shaped protein WGM laser (hspWGM l…

Survey on Single-Image Reflection Removal using Deep Learning Techniques Open

Kangning Yang, Huiming Sun, Jie Cai, Lan Fu, Jiaming Ding , et al. · 2025

The phenomenon of reflection is quite common in digital images, posing significant challenges for various applications such as computer vision, photography, and image processing. Traditional methods for reflection removal often struggle to…

Identification and characterization of long-term meteorological drought events in the Yellow River Basin Open

Jiepeng Li, Lajiao Chen, Geli Zhang, Hongxing Liu, Hongchang Hu , et al. · 2025

The Yellow River Basin (YRB) is one of the regions most severely affected by droughts in China. Understanding spatiotemporal variations in droughts in the YRB has become a research hotspot. Despite the attention being paid to droughts in t…

EVD4UAV: An Altitude-Sensitive Benchmark to Evade Vehicle Detection in UAV Open

Huiming Sun, Jiacheng Guo, Zibo Meng, Tianyun Zhang, Jianwu Fang , et al. · 2024

Vehicle detection in Unmanned Aerial Vehicle (UAV) captured images has wide applications in aerial photography and remote sensing. There are many public benchmark datasets proposed for the vehicle detection and tracking in UAV images. Rece…

Characterization of sub-nanosecond pulse compression based on frequency-detuning SBS Open

Fuhan Liu, Yulei Wang, Chen Cao, Zibo Meng, Zhaoyang Man , et al. · 2023

High-frequency, high-power picosecond lasers have important and wide-ranging applications in laser ranging, optoelectronic countermeasures, and ultrafine industrial processing. Pulse compression based on stimulated Brillouin scattering (SB…

Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection Open

Huiming Sun, Lan Fu, Jinlong Li, Qing Guo, Zibo Meng , et al. · 2023

Detecting the salient objects in a remote sensing image has wide applications for the interdisciplinary research. Many existing deep learning methods have been proposed for Salient Object Detection (SOD) in remote sensing images and get re…

High-repetition-rate, quarter acoustic wave oscillation period pulse compression using transient stimulated Brillouin scattering Open

Chen Cao, Yulei Wang, Jianfeng Yue, Zibo Meng, Kai Li , et al. · 2022

In this work we demonstrate the compression of laser pulses at a high repetition rate, using transient stimulated Brillouin scattering (SBS). Output pulses with pulse durations close to the quarter-acoustic wave oscillation period (τ f ) w…

Real-Time Super-Resolution for Real-World Images on Mobile Devices Open

Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho · 2022

Image Super-Resolution (ISR), which aims at recovering High-Resolution (HR) images from the corresponding Low-Resolution (LR) counterparts. Although recent progress in ISR has been remarkable. However, they are way too computationally inte…

Pik-Fix: Restoring and Colorizing Old Photos Open

Runsheng Xu, Zhengzhong Tu, Yuanqi Du, Xiaoyu Dong, Jinlong Li , et al. · 2022

Restoring and inpainting the visual memories that are present, but often impaired, in old photos remains an intriguing but unsolved research topic. Decades-old photos often suffer from severe and commingled degradation such as cracks, defo…

ROMNet: Renovate the Old Memories Open

Runsheng Xu, Zhengzhong Tu, Yuanqi Du, Xiaoyu Dong, Jinlong Li , et al. · 2022

Renovating the memories in old photos is an intriguing research topic in computer vision fields. These legacy images often suffer from severe and commingled degradations such as cracks, noise, and color-fading, while lack of large-scale pa…

Point Adversarial Self-Mining: A Simple Method for Facial Expression Recognition Open

Ping Liu, Yuewei Lin, Zibo Meng, Lu Lu, Weihong Deng , et al. · 2021

In this article, we propose a simple yet effective approach, called point adversarial self mining (PASM), to improve the recognition accuracy in facial expression recognition (FER). Unlike previous works focusing on designing specific arch…

Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report Open

Andrey Ignatov, Andrés Romero, Heewon Kim, Radu Timofte, Chiu Man Ho , et al. · 2021

Video super-resolution has recently become one of the most important mobile-related problems due to the rise of video communication and streaming services. While many solutions have been proposed for this task, the majority of them are too…

Point Adversarial Self Mining: A Simple Method for Facial Expression Recognition Open

Ping Liu, Yuewei Lin, Zibo Meng, Lu Lü, Weihong Deng , et al. · 2020

In this paper, we propose a simple yet effective approach, named Point Adversarial Self Mining (PASM), to improve the recognition accuracy in facial expression recognition. Unlike previous works focusing on designing specific architectures…

Point Adversarial Self Mining: A Simple Method for Facial Expression Recognition in the Wild Open

Ping Liu, Yuewei Lin, Zibo Meng, Weihong Deng, Joey Tianyi Zhou , et al. · 2020

In this paper, the Point Adversarial Self Mining (PASM) approach, a simple yet effective way to progressively mine knowledge from training samples, is proposed to produce training data for CNNs to improve the performance and network genera…

Omni-supervised Facial Expression Recognition via Distilled Data Open

Ping Liu, Yunchao Wei, Zibo Meng, Weihong Deng, Joey Tianyi Zhou , et al. · 2020

Facial expression plays an important role in understanding human emotions. Most recently, deep learning based methods have shown promising for facial expression recognition. However, the performance of the current state-of-the-art facial e…

Omni-supervised Facial Expression Recognition: A Simple Baseline. Open

Ping Liu, Yunchao Wei, Zibo Meng, Weihong Deng, Joey Tianyi Zhou , et al. · 2020

In this paper, we target on advancing the performance in facial expression recognition (FER) by exploiting omni-supervised learning. The current state of the art FER approaches usually aim to recognize facial expressions in a controlled en…

NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results Open

Andreas Lugmayr, Martin Danelljan, Radu Timofte, Namhyuk Ahn, Dongwoon Bai , et al. · 2020

This paper reviews the NTIRE 2020 challenge on real world super-resolution. It focuses on the participating methods and final results. The challenge addresses the real world setting, where paired true high and low-resolution images are una…

Residual Channel Attention Generative Adversarial Network for Image Super-Resolution and Noise Reduction Open

Jie Cai, Zibo Meng, Chiu Man Ho · 2020

Image super-resolution is one of the important computer vision techniques aiming to reconstruct high-resolution images from corresponding low-resolution ones. Most recently, deep learning-based approaches have been demonstrated for image s…

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results Open

Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu , et al. · 2020

Feature-level and Model-level Audiovisual Fusion for Emotion Recognition in the Wild Open

Jie Cai, Zibo Meng, Ahmed Shehab Khan, Zhiyuan Li, James O’Reilly , et al. · 2019

Emotion recognition plays an important role in human-computer interaction (HCI) and has been extensively studied for decades. Although tremendous improvements have been achieved for posed expressions, recognizing human emotions in "close-t…

Identity-Free Facial Expression Recognition using conditional Generative Adversarial Network Open

Jie Cai, Zibo Meng, Ahmed Shehab Khan, Zhiyuan Li, James O’Reilly , et al. · 2019

A novel Identity-Free conditional Generative Adversarial Network (IF-GAN) was proposed for Facial Expression Recognition (FER) to explicitly reduce high inter-subject variations caused by identity-related facial attributes, e.g., age, race…

Applying ESTIMATE Algorithm to Establish an 8-mRNA Signature Prognostic Prediction System and Identify Immunocytes Infiltration Related Genes in Pancreatic Cancer Open

Zibo Meng, Dianyun Ren, Jingyuan Zhao, Xin Jin, Heshui Wu · 2019

Probabilistic Attribute Tree in Convolutional Neural Networks for Facial Expression Recognition Open

Jie Cai, Zibo Meng, Ahmed-Shehab Khan, Zhiyuan Li, James O’Reilly , et al. · 2018

In this paper, we proposed a novel Probabilistic Attribute Tree-CNN (PAT-CNN) to explicitly deal with the large intra-class variations caused by identity-related attributes, e.g., age, race, and gender. Specifically, a novel PAT module wit…

Bi-stream CNN Down Syndrome screening model based on genotyping array Open

Bing Feng, William Hoskins, Yan Zhang, Zibo Meng, David C. Samuels , et al. · 2018

Our bi-stream model used two branch CNN models to learn the local genome features and regional patterns among adjacent genes and SNP sites from two chromosomes simultaneously. It achieved the best performance in all evaluating metrics when…

Group-Level Emotion Recognition using Deep Models with A Four-stream Hybrid Network Open

Ahmed Shehab Khan, Zhiyuan Li, Jie Cai, Zibo Meng, James O’Reilly , et al. · 2018

Group-level Emotion Recognition (GER) in the wild is a challenging task gaining lots of attention. Most recent works utilized two channels of information, a channel involving only faces and a channel containing the whole image, to solve th…

Island Loss for Learning Discriminative Features in Facial Expression Recognition Open

Jie Cai, Zibo Meng, Ahmed Shehab Khan, Zhiyuan Li, James O’Reilly , et al. · 2017

Over the past few years, Convolutional Neural Networks (CNNs) have shown promise on facial expression recognition. However, the performance degrades dramatically under real-world settings due to variations introduced by subtle facial appea…

Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition Open

Shizhong Han, Zibo Meng, Zhiyuan Li, James O’Reilly, Jie Cai , et al. · 2017

Recognizing facial action units (AUs) during spontaneous facial displays is a challenging problem. Most recently, Convolutional Neural Networks (CNNs) have shown promise for facial AU recognition, where predefined and fixed convolution fil…

Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition Open

Shizhong Han, Zibo Meng, Ahmed Shehab Khan, Yan Tong · 2017

Recognizing facial action units (AUs) from spontaneous facial expressions is still a challenging problem. Most recently, CNNs have shown promise on facial AU recognition. However, the learned CNNs are often overfitted and do not generalize…

Improving Speech Related Facial Action Unit Recognition by Audiovisual Information Fusion Open

Zibo Meng, Shizhong Han, Ping Liu, Yan Tong · 2017

It is challenging to recognize facial action unit (AU) from spontaneous facial displays, especially when they are accompanied by speech. The major reason is that the information is extracted from a single source, i.e., the visual channel, …

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