Weixin Luo

According to our database, Weixin Luo authored at least 42 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MLLM-Tool: A Multimodal Large Language Model For Tool Agent Learning.

Chenyu Wang, Weixin Luo, Qianyu Chen, Haonan Mai, Jindi Guo, Sixun Dong, Xiaohua Xuan, Zhengxin Li, Lin Ma, Shenghua Gao

CoRR, 2024

2023

Bridging the Gap Between End-to-end and Non-End-to-end Multi-Object Tracking.

Feng Yan, Weixin Luo, Yujie Zhong, Yiyang Gan, Lin Ma

CoRR, 2023

E2E-LOAD: End-to-End Long-form Online Action Detection.

Shuqiang Cao, Weixin Luo, Bairui Wang, Wei Zhang, Lin Ma

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Weakly Supervised Video Representation Learning with Unaligned Text for Sequential Videos.

Sixun Dong, Huazhang Hu, Dongze Lian, Weixin Luo, Yicheng Qian, Shenghua Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Memorizing Structure-Texture Correspondence for Image Anomaly Detection.

Kang Zhou, Jing Li, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Jiang Liu, Shenghua Gao

IEEE Trans. Neural Networks Learn. Syst., 2022

Proxy-Bridged Image Reconstruction Network for Anomaly Detection in Medical Images.

Kang Zhou, Jing Li, Weixin Luo, Zhengxin Li, Jianlong Yang, Huazhu Fu, Jun Cheng, Jiang Liu, Shenghua Gao

IEEE Trans. Medical Imaging, 2022

Future Frame Prediction Network for Video Anomaly Detection.

Weixin Luo, Wen Liu, Dongze Lian, Shenghua Gao

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Locating and Counting Heads in Crowds With a Depth Prior.

Dongze Lian, Xianing Chen, Jing Li, Weixin Luo, Shenghua Gao

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Multiple Object Tracking Challenge Technical Report for Team MT_IoT.

Feng Yan, Zhiheng Li, Weixin Luo, Zequn Jie, Fan Liang, Xiaolin Wei, Lin Ma

CoRR, 2022

HAM: Hierarchical Attention Model with High Performance for 3D Visual Grounding.

Jiaming Chen, Weixin Luo, Xiaolin Wei, Lin Ma, Wei Zhang

CoRR, 2022

A Circular Window-based Cascade Transformer for Online Action Detection.

Shuqiang Cao, Weixin Luo, Bairui Wang, Wei Zhang, Lin Ma

CoRR, 2022

SVIP: Sequence VerIfication for Procedures in Videos.

Yicheng Qian, Weixin Luo, Dongze Lian, Xu Tang, Peilin Zhao, Shenghua Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Explore Inter-contrast between Videos via Composition for Weakly Supervised Temporal Sentence Grounding.

Jiaming Chen, Weixin Luo, Wei Zhang, Lin Ma

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks.

Weixin Luo, Wen Liu, Dongze Lian, Jinhui Tang, Lixin Duan, Xi Peng, Shenghua Gao

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Normal graph: Spatial temporal graph convolutional networks based prediction network for skeleton based video anomaly detection.

Weixin Luo, Wen Liu, Shenghua Gao

Neurocomputing, 2021

Two-stage Visual Cues Enhancement Network for Referring Image Segmentation.

Yang Jiao, Zequn Jie, Weixin Luo, Jingjing Chen, Yu-Gang Jiang, Xiaolin Wei, Lin Ma

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Prior Based Human Completion.

Zibo Zhao, Wen Liu, Yanyu Xu, Xianing Chen, Weixin Luo, Lei Jin, Bohui Zhu, Tong Liu, Binqiang Zhao, Shenghua Gao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning To Recommend Frame for Interactive Video Object Segmentation in the Wild.

Zhaoyuan Yin, Jia Zheng, Weixin Luo, Shenhan Qian, Hanling Zhang, Shenghua Gao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Binbin Huang, Dongze Lian, Weixin Luo, Shenghua Gao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Amodal Segmentation Based on Visible Region Segmentation and Shape Prior.

Yuting Xiao, Yanyu Xu, Ziming Zhong, Weixin Luo, Jiawei Li, Shenghua Gao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Graph Convolutional Neural Network for Skeleton-based Video Abnormal Behavior Detection.

Weixin Luo, Wen Liu, Shenghua Gao

Proceedings of the Generalization with Deep Learning: For Improvement on Sensing Capability, 2021

2020

Multi-level feature fusion based Locality-Constrained Spatial Transformer network for video crowd counting.

Yanyan Fang, Shenghua Gao, Jing Li, Weixin Luo, Linfang He, Bo Hu

Neurocomputing, 2020

SIRI: Spatial Relation Induced Network For Spatial Description Resolution.

Peiyao Wang, Weixin Luo, Yanyu Xu, Haojie Li, Shugong Xu, Jianyu Yang, Shenghua Gao

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao

Proceedings of the Computer Vision - ECCV 2020, 2020

Password-Conditioned Anonymization and Deanonymization with Face Identity Transformers.

Xiuye Gu, Weixin Luo, Michael S. Ryoo, Yong Jae Lee

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Multiview Multitask Gaze Estimation With Deep Convolutional Neural Networks.

Dongze Lian, Lina Hu, Weixin Luo, Yanyu Xu, Lixin Duan, Jingyi Yu, Shenghua Gao

IEEE Trans. Neural Networks Learn. Syst., 2019

Cascaded ConvLSTMs Using Semantically-Coherent Data Synthesis for Video Object Segmentation.

Jia Zheng, Weixin Luo, Zhixin Piao

IEEE Access, 2019

Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies.

Wen Liu, Weixin Luo, Zhengxin Li, Peilin Zhao, Shenghua Gao

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

PPGNet: Learning Point-Pair Graph for Line Segment Detection.

Ziheng Zhang, Zhengxin Li, Ning Bi, Jia Zheng, Jinlei Wang, Kun Huang, Weixin Luo, Yanyu Xu, Shenghua Gao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization.

Dongze Lian, Jing Li, Jia Zheng, Weixin Luo, Shenghua Gao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

RGBD Based Gaze Estimation via Multi-Task CNN.

Dongze Lian, Ziheng Zhang, Weixin Luo, Lina Hu, Minye Wu, Zechao Li, Jingyi Yu, Shenghua Gao

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

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

Kang Zhou, Zaiwang Gu, Wen Liu, Weixin Luo, Jun Cheng, Shenghua Gao, Jiang Liu

CoRR, 2018

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

Kang Zhou, Zaiwang Gu, Wen Liu, Weixin Luo, Jun Cheng, Shenghua Gao, Jiang Liu

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Face Aging With Identity-Preserved Conditional Generative Adversarial Networks.

Zongwei Wang, Xu Tang, Weixin Luo, Shenghua Gao

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Future Frame Prediction for Anomaly Detection - A New Baseline.

Wen Liu, Weixin Luo, Dongze Lian, Shenghua Gao

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Fisher discrimination dictionary pair learning for image classification.

Meng Yang, Heyou Chang, Weixin Luo, Jian Yang

Neurocomputing, 2017

Discriminative analysis-synthesis dictionary learning for image classification.

Meng Yang, Heyou Chang, Weixin Luo

Neurocomputing, 2017

Remembering history with convolutional LSTM for anomaly detection.

Weixin Luo, Wen Liu, Shenghua Gao

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

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

Weixin Luo, Wen Liu, Shenghua Gao

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Analysis-Synthesis Dictionary Learning for Universality-Particularity Representation Based Classification.

Meng Yang, Weiyang Liu, Weixin Luo, Linlin Shen

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Dictionary Pair Learning with Block-Diagonal Structure for Image Classification.

Meng Yang, Weixin Luo, Linlin Shen

Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015

2014

GPU Accelerated 3D Image Deformation Using Thin-Plate Splines.

Weixin Luo, Xuan Yang, Xiaoxiao Nan, Bingfeng Hu

Proceedings of the 2014 IEEE International Conference on High Performance Computing and Communications, 2014