Search Results for author: Weixin Luo

Found 15 papers, 11 papers with code

Two-stage Visual Cues Enhancement Network for Referring Image Segmentation

1 code implementation9 Oct 2021 Yang Jiao, Zequn Jie, Weixin Luo, Jingjing Chen, Yu-Gang Jiang, Xiaolin Wei, Lin Ma

Referring Image Segmentation (RIS) aims at segmenting the target object from an image referred by one given natural language expression.

Semantic Segmentation

Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images

no code implementations5 Oct 2021 Kang Zhou, Jing Li, Weixin Luo, Zhengxin Li, Jianlong Yang, Huazhu Fu, Jun Cheng, Jiang Liu, Shenghua Gao

To mitigate this problem, in this paper, we propose a novel Proxy-bridged Image Reconstruction Network (ProxyAno) for anomaly detection in medical images.

Anomaly Detection Image Reconstruction

Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding

1 code implementation CVPR 2021 Binbin Huang, Dongze Lian, Weixin Luo, Shenghua Gao

Then we combine the contextual information from the landmark feature convolution module with the target's visual features for grounding.

Visual Grounding

Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild

1 code implementation CVPR 2021 Zhaoyuan Yin, Jia Zheng, Weixin Luo, Shenhan Qian, Hanling Zhang, Shenghua Gao

This paper proposes a framework for the interactive video object segmentation (VOS) in the wild where users can choose some frames for annotations iteratively.

Interactive Video Object Segmentation Semantic Segmentation +1

Amodal Segmentation Based on Visible Region Segmentation and Shape Prior

1 code implementation10 Dec 2020 Yuting Xiao, Yanyu Xu, Ziming Zhong, Weixin Luo, Jiawei Li, Shenghua Gao

In this way, features corresponding to background and occlusion can be suppressed for amodal mask estimation.

SIRI: Spatial Relation Induced Network For Spatial Description Resolution

no code implementations NeurIPS 2020 Peiyao Wang, Weixin Luo, Yanyu Xu, Haojie Li, Shugong Xu, Jianyu Yang, Shenghua Gao

Spatial Description Resolution, as a language-guided localization task, is proposed for target location in a panoramic street view, given corresponding language descriptions.

Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images

1 code implementation ECCV 2020 Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao

In the end, we further utilize the reconstructed image to extract the structure and measure the difference between structure extracted from original and the reconstructed image.

Anomaly Detection

Password-conditioned Anonymization and Deanonymization with Face Identity Transformers

1 code implementation26 Nov 2019 Xiuye Gu, Weixin Luo, Michael S. Ryoo, Yong Jae Lee

Cameras are prevalent in our daily lives, and enable many useful systems built upon computer vision technologies such as smart cameras and home robots for service applications.

Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading

no code implementations31 Aug 2018 Kang Zhou, Zaiwang Gu, Wen Liu, Weixin Luo, Jun Cheng, Shenghua Gao, Jiang Liu

To considering the relationships of images with different stages, we propose a \textbf{Multi-Task} learning strategy which predicts the label with both classification and regression.

Diabetic Retinopathy Grading General Classification +1

Face Aging With Identity-Preserved Conditional Generative Adversarial Networks

2 code implementations CVPR 2018 Zongwei Wang, Xu Tang, Weixin Luo, Shenghua Gao

By grouping faces with target age together, the objective of face aging is equivalent to transferring aging patterns of faces within the target age group to the face whose aged face is to be synthesized.

Future Frame Prediction for Anomaly Detection – A New Baseline

1 code implementation CVPR 2018 Wen Liu, Weixin Luo, Dongze Lian, Shenghua Gao

To predict a future frame with higher quality for normal events, other than the commonly used appearance (spatial) constraints on intensity and gradient, we also introduce a motion (temporal) constraint in video prediction by enforcing the optical flow between predicted frames and ground truth frames to be consistent, and this is the first work that introduces a temporal constraint into the video prediction task.

Anomaly Detection Optical Flow Estimation +1

Future Frame Prediction for Anomaly Detection -- A New Baseline

1 code implementation28 Dec 2017 Wen Liu, Weixin Luo, Dongze Lian, Shenghua Gao

To predict a future frame with higher quality for normal events, other than the commonly used appearance (spatial) constraints on intensity and gradient, we also introduce a motion (temporal) constraint in video prediction by enforcing the optical flow between predicted frames and ground truth frames to be consistent, and this is the first work that introduces a temporal constraint into the video prediction task.

Anomaly Detection Optical Flow Estimation +1

A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework

1 code implementation ICCV 2017 Weixin Luo, Wen Liu, Shenghua Gao

Motivated by the capability of sparse coding based anomaly detection, we propose a Temporally-coherent Sparse Coding (TSC) where we enforce similar neighbouring frames be encoded with similar reconstruction coefficients.

Anomaly Detection

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