Dongze Lian's Homepage

Biography

Now I am a Postdoc at National University of Singapore (NUS), working with Prof. Xinchao Wang and Dr. Jiashi Feng. Before joining NUS, I received my Ph.D. from School of Information Science and Technology at ShanghaiTech University, advised by Prof. Shenghua Gao at ShanghaiTech Vision and Intelligent Perception Lab (SVIP Lab). I have also the opportunity to work with Dr. Yin Zheng and Dr. Peilin Zhao in Tencent AI Lab. My research focuses on computer vision and deep learning. I received my Bachelor's Degree in Dalian University of Technology (DUT).

[Google Scholar] [LinkedIn] [DBLP]

News

2022/09 -- One paper is accepted by NeurIPS 2022.
2022/06 -- Two papers are accepted by CVPR 2022 (1 Oral, 1 Poster).
2022/01 -- One paper is accepted by ICLR 2022.
2021/10 -- Two papers are accepted by TPAMI.
2021/07 -- One paper is accepted by ICCV 2021.
2021/06 -- Got my PhD degree. Congrats to myself - Dr. Lian!

Publications

Conference

Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning
Dongze Lian*, Daquan Zhou*, Jiashi Feng, Xinchao Wang
Neural Information Processing Systems (NeurIPS), 2022.
[Paper] [Code]
SVIP: Sequence VerIfication for Procedures in Videos
Yicheng Qian, Weixin Luo, Dongze Lian, Xu Tang, Peilin Zhao, Shenghua Gao
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[Paper] [Code]
TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting
Huazhang Hu*, Sixun Dong*, Yiqun Zhao, Dongze Lian, Zhengxin Li, Shenghua Gao
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR Oral), 2022.
[Paper] [Code]
AS-MLP: An Axial Shifted MLP Architecture for Vision
Dongze Lian*, Zehao Yu*, Xing Sun, Shenghua Gao
International Conference on Learning Representations (ICLR), 2022.
[Paper] [Code]
Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding
Binbin Huang, Dongze Lian, Weixin Luo, Shenghua Gao
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[Paper] [Code]
KGDet: Keypoint-Guided Fashion Detection
Shenhan Qian*, Dongze Lian*, Binqiang Zhao, Tong Liu, Bohui Zhu, Hai Li, Shenghua Gao
AAAI Conference on Artificial Intelligence (AAAI), 2021.
[Paper] [Code]
Towards Fast Adaptation of Neural Architectures with Meta Learning
Dongze Lian*, Yin Zheng*, Yintao Xu, Yanxiong Lu, Leyu Lin, Peilin Zhao, Junzhou Huang, Shenghua Gao
International Conference on Learning Representations (ICLR), 2020.
[Paper] [Code]
Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization
Dongze Lian*, Jing Li*, Jia Zheng, Weixin Luo, Shenghua Gao
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
[Paper] [Code]
Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks
Hao Cheng*, Dongze Lian*, Bowen Deng, Shenghua Gao, Tao Tan, Yanlin Geng
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
[Paper] [Code]
Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding
Zehao Yu*, Jia Zheng*, Dongze Lian, Zihan Zhou, Shenghua Gao
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
[Paper] [Code]
RGBD Based Gaze Estimation via Multi-task CNNs
Dongze Lian*, Ziheng Zhang*, Weixin Luo, Lina Hu, Minye Wu, Zechao Li, Jingyi Yu, Shenghua Gao
AAAI Conference on Artificial Intelligence (AAAI), 2019.
[Paper] [Code]
Evaluating Capability of Deep Neural Networks for Image Classification via Mutual Information
Hao Cheng, Dongze Lian, Shenghua Gao, Yanlin Geng
European Conference on Computer Vision (ECCV), 2018.
[Paper]
Believe It or Not, We Know What You Are Looking at!
Dongze Lian*, Zehao Yu*, Shenghua Gao
Asian Conference on Computer Vision (ACCV Oral, 4.6%), 2018.
[Paper] [Code]
Future Frame Prediction for Anomaly Detection – A New Baseline
Wen Liu*, Weixin Luo*, Dongze Lian, Shenghua Gao
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
[Paper] [Code]

Journal

Future frame prediction network for video anomaly detection
Weixin Luo*, Wen Liu*, Dongze Lian, Shenghua Gao
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
[Paper]
Locating and counting heads in crowds with a depth prior
Dongze Lian*, Xianing Chen*, Jing Li, Weixin Luo, Shenghua Gao
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
[Paper] [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
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.
[Paper] [Code]
Utilizing Information Bottleneck to Evaluate the Capability of Deep Neural Networks for Image Classification
Hao Cheng, Dongze Lian, Shenghua Gao, Yanlin Geng
Entropy, 2019.
[Paper]
Multi-view Multi-task Gaze Prediction with Deep Convolutional Neural Networks
Dongze Lian, Lina Hu, Weixin Luo, Yanyu Xu, Lixin Duan, Jingyi Yu, Shenghua Gao
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018.
[Paper] [Code]

Professional Service

Journal Reviewer:
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
Neurocomputing
Pattern Recognition
Conference Reviewer:
CVPR (2020-2023), ICCV (2019-2021), ECCV (2020/2022), NeurIPS (2020-2022), ICLR (2022/2023), ICML (2022/2023) AAAI (2020-2023), ACCV (2020/2022), WACV (2021-2023)
Student Volunteer:
ICLR (2022), AAAI (2021), RACV (2016)

Teaching

Teaching Assistant -- Computer Vision II at ShanghaiTech University, Spring 2020
Teaching Assistant -- Computer Vision I at ShanghaiTech University, Fall 2019
Teaching Assistant -- Computer Vision II at ShanghaiTech University, Spring 2018
Teaching Assistant -- Computer Vision I at ShanghaiTech University, Fall 2017

Awards

Outstanding Doctoral Graduates of Shanghai, 2021
Outstanding Doctoral Graduates of ShanghaiTech University, 2021
National Scholarship for Doctoral Students 2020
Outstanding Student of ShanghaiTech University, 2019 - 2020
Outstanding Student of ShanghaiTech University, 2018 - 2019
Outstanding Graduates of Dalian University of Technology, 2016