Weixin Luo
Ph.D
Google scholar
About me
I am now working at Apple. 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
[2024-01] A
multi-modal LLM for tool agent learning
is released at
Github
.
[2023-10] I was ranked as one of the 2023
World's Top 2% scientists
by Stanford University.
[2023-07] One paper was accepted by ICCV 2023.
[2023-02] One paper was accepted by CVPR 2023.
[2022-10] We rank No.1 on the
ScanRefer
Challenge at ECCV 2022.
[2022-10] We rank No.1 (
hand action
) and No.2 (
hand pose
) on the
H2O
Challenge at ECCV 2022.
[2022-10] We rank No.2 (DanceTrack) on the
MOTComplex
Challenge at ECCV 2022.
[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
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