Search Results for author: Xiaobo Lu

Found 13 papers, 3 papers with code

Pro-UIGAN: Progressive Face Hallucination from Occluded Thumbnails

no code implementations2 Aug 2021 Yang Zhang, Xin Yu, Xiaobo Lu, Ping Liu

Specifically, we design a novel cross-modal transformer module for facial priors estimation, in which an input face and its landmark features are formulated as queries and keys, respectively.

Face Alignment Face Hallucination +2

STCNet: Spatio-Temporal Cross Network for Industrial Smoke Detection

2 code implementations10 Nov 2020 Yichao Cao, Qingfei Tang, Xiaobo Lu, Fan Li, Jinde Cao

To overcome these problems, a novel Spatio-Temporal Cross Network (STCNet) is proposed to recognize industrial smoke emissions.

Computer Vision

Visual-speech Synthesis of Exaggerated Corrective Feedback

no code implementations12 Sep 2020 Yaohua Bu, Weijun Li, Tianyi Ma, Shengqi Chen, Jia Jia, Kun Li, Xiaobo Lu

To provide more discriminative feedback for the second language (L2) learners to better identify their mispronunciation, we propose a method for exaggerated visual-speech feedback in computer-assisted pronunciation training (CAPT).

Speech Synthesis

Measuring local moiré lattice heterogeneity of twisted bilayer graphene

1 code implementation31 Aug 2020 Tjerk Benschop, Tobias A. de Jong, Petr Stepanov, Xiaobo Lu, Vincent Stalman, Sense Jan van der Molen, Dmitri K. Efetov, Milan P. Allan

We introduce a new method to continuously map inhomogeneities of a moir\'e lattice and apply it to large-area topographic images we measure on open-device twisted bilayer graphene (TBG).

Mesoscale and Nanoscale Physics Strongly Correlated Electrons

Improved YOLOv3 Object Classification in Intelligent Transportation System

no code implementations8 Apr 2020 Yang Zhang, Changhui Hu, Xiaobo Lu

The technology of vehicle and driver detection in Intelligent Transportation System(ITS) is a hot topic in recent years.

Classification General Classification

Adaptive Multiscale Illumination-Invariant Feature Representation for Undersampled Face Recognition

no code implementations7 Apr 2020 Yang Zhang, Changhui Hu, Xiaobo Lu

Then, the illumination level is referenced to construct the high performance LEF as well realize adaptive fusion for multiple scales LEFs for the face image, performing JLEF-feature.

Face Recognition

Deep Attentive Generative Adversarial Network for Photo-Realistic Image De-Quantization

no code implementations7 Apr 2020 Yang Zhang, Changhui Hu, Xiaobo Lu

In addition, due to the adversarial learning framework can reliably produce high quality natural images, the specified content loss as well as the adversarial loss are back-propagated to optimize the training of model.

Quantization Super-Resolution

A Driver Fatigue Recognition Algorithm Based on Spatio-Temporal Feature Sequence

no code implementations18 Mar 2020 Chen Zhang, Xiaobo Lu, Zhiliang Huang

Researches show that fatigue driving is one of the important causes of road traffic accidents, so it is of great significance to study the driver fatigue recognition algorithm to improve road traffic safety.

Face Detection Facial Landmark Detection +1

Copy and Paste GAN: Face Hallucination from Shaded Thumbnails

no code implementations CVPR 2020 Yang Zhang, Ivor Tsang, Yawei Luo, Changhui Hu, Xiaobo Lu, Xin Yu

This paper proposes a Copy and Paste Generative Adversarial Network (CPGAN) to recover authentic high-resolution (HR) face images while compensating for low and non-uniform illumination.

Face Hallucination

Face Hallucination with Finishing Touches

no code implementations9 Feb 2020 Yang Zhang, Ivor W. Tsang, Jun Li, Ping Liu, Xiaobo Lu, Xin Yu

The coarse-level FHnet generates a frontal coarse HR face and then the fine-level FHnet makes use of the facial component appearance prior, i. e., fine-grained facial components, to attain a frontal HR face image with authentic details.

Face Hallucination Face Recognition

Mask-aware networks for crowd counting

no code implementations18 Dec 2018 Shengqin Jiang, Xiaobo Lu, Yinjie Lei, Lingqiao Liu

Our rationale is that the mask prediction could be better modeled as a binary segmentation problem and the difficulty of estimating the density could be reduced if the mask is known.

Crowd Counting

Spatial-temporal Fusion Convolutional Neural Network for Simulated Driving Behavior Recognition

no code implementations3 Dec 2018 Yaocong Hu, MingQi Lu, Xiaobo Lu

Abnormal driving behaviour is one of the leading cause of terrible traffic accidents endangering human life.

Optical Flow Estimation

Cannot find the paper you are looking for? You can Submit a new open access paper.