Weixin Luo's home page

About me

I am now working at Meituan. I received my Ph.D. degree from ShanghaiTech University in 2020, supervised by Shenghua Gao. I worked with Yong Jae Lee at University of California, Davis. I received my BEng. Degree from Shenzhen University in 2015.

Recent News

multi-modal LLM for tool agent learning

Github

World's Top 2% scientists

[2023-07] One paper was accepted by ICCV 2023.

[2023-02] One paper was accepted by CVPR 2023.

[2022-03] One paper was accepted by CVPR 2022.

[2021-11] One paper was accepted by AAAI 2022.

Selected Publications

E2E-LOAD: End-to-End Long-form Online Action Detection
Shuqiang Cao*, Weixin Luo*, Bairui Wang, Wei Zhang, Lin Ma
ICCV 2023 / code

Weakly Supervised Video Representation Learning with Unaligned Text for Sequential Videos
Sixun Dong, Huazhang Hu, Dongze Lian, Weixin Luo, Yicheng Qian, Shenghua Gao
CVPR 2023 / code

Learning Point-Language Hierarchical Alignment for 3D Visual Grounding
Jiaming Chen*, Weixin Luo*, Xiaolin Wei, Lin Ma, Wei Zhang
Arxiv 2022 / code

A Circular Window-based Cascade Transformer for Online Action Detection
Shuqiang Cao*, Weixin Luo*, Bairui Wang, Wei Zhang, Lin Ma
Arxiv 2022

SVIP: Sequence VerIfication for Procedures in Videos
Yicheng Qian, Weixin Luo, Dongze Lian, Xu Tang, Peilin Zhao, Shenghua Gao
CVPR 2022 / code

Explore Inter-Contrast Between Videos via Composition for Weakly Supervised Temporal Sentence Grounding
Jiaming Chen*, Weixin Luo*, Wei Zhang, Lin Ma
AAAI 2022 / code

Future Frame Prediction Network for Video Anomaly Detection
Weixin Luo*, Wen Liu*, Dongze Lian, Shenghua Gao
TPAMI 2021

Locating and Counting Heads in Crowds With a Depth Prior
Dongze Lian, Xianing Chen, Jing Li, Weixin Luo, Shenghua Gao
TPAMI 2021 / code

SIRI: Spatial Relation Induced Network For Spatial Description Resolution
Peiyao Wang*, Weixin Luo*, Yanyu Xu, Haojie Li, Shugong Xu, Jianyu Yang, Shenghua Gao
NeurIPS 2020

Password-conditioned Anonymization and Deanonymization with Face Identity Transformers
Xiuye Gu, Weixin Luo, Michael S. Ryoo, Yong Jae Lee
ECCV 2020 / code

Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks
Weixin Luo*, Wen Liu*, Dongze Lian, Jinhui Tang, Lixin Duan, Xi Peng, Shenghua Gao
TPAMI 2019 (sci highly cited paper) / code

Large Margin Video Anomaly Detection with A Few Anomalies
Wen Liu*, Weixin Luo*, Shenghua Gao.
IJCAI 2019 / code

Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization
Dongze Lian, Jing Li, Jia Zheng, Weixin Luo, Shenghua Gao
CVPR 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.
AAAI 2019

Future Frame Prediction for Anomaly Detection – A New Baseline
Wen Liu*, Weixin Luo*, Shenghua Gao.
CVPR 2018 / code

Face Aging with Identity-Preserved Conditional Generative Adversarial Network
Zongwei Wang, Xu Tang, Weixin Luo, Shenghua Gao.
CVPR 2018 / code

Multi-view Multi-task Gaze Prediction with Deep Convolutional Neural Networks.
Dongze Lian, Shenghua Gao, Lina Hu, Weixin Luo, Yanyu Xu, Lixin Duan, Jingyi Yu.
TNNLS 2018

A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework
Weixin Luo*, Wen Liu*, Shenghua Gao.
ICCV 2017 / code

Remembering History with Convolutional LSTM for Anomaly Detection
Weixin Luo*, Wen Liu*, Shenghua Gao.
ICME 2017 (oral)/ code

Analysis-Synthesis Dictionary Learning for Universality-Particularity Representation Based Classification
Meng Yang, Weiyang Liu, Weixin Luo, Linlin Shen.
AAAI 2016