Peng-Tao Jiang
vivo researcher
School : Nankai University
Email : pt.jiang [at] vivo.com
Email : pt.jiang [at] mail.nankai.edu.cn
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Biography

My name is Peng-Tao Jiang (姜鹏涛). Currently, I am a researcher in vivo. Before that, I was a post-doc researcher at Zhejiang University, working with Prof. Chunhua Shen. Before that, I received my PhD at Nankai University, advised by Prof. Ming-Ming Cheng. Moreover, I have spent several months as an intern at SenseTime and Tencent YouTu. My research interests include explainable AI (XAI), weakly-supervised semantic segmentation, and regularization tools for image classification.

Experience

2017-2022: Computer Science in Nankai University
2022-2023: Post-doc Researcher in Zhejiang University
2023.5-now: Researcher in vivo

Hiring

Our group focuses on several topics: open-vocabulary segmentation and detection, diffusion, multi-modal large language models, multi-task learning, etc. We are hiring self-motivated research interns at vivo. If you are interested in our group, please feel free to contact us.

Pre-print

Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation
Peng-Tao Jiang*, Yuqi Yang*
arXiv, 2023
[PDF] [CODE]
Traffic Scene Parsing through the TSP6K Dataset
Peng-Tao Jiang*, Yuqi Yang*, Yang Cao, Qibin Hou, Ming-Ming Cheng, Chunhua Shen
arXiv, 2023
[PDF] [CODE] [DATASET]

Publications

* denotes equal contribution.
Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections
Jiaxiong Qiu, Peng-Tao Jiang, Yifan Zhu, Ze-Xin Yin, Ming-Ming Cheng, Bo Ren
IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2023
[PDF] [CODE]
RDNeRF: Relative Depth Guided NeRF for Dense Free View Synthesis
Jiaxiong Qiu*, Yifan Zhu*, Peng-Tao Jiang, Ming-Ming Cheng, Bo Ren
The Visual Computer Journal(TVC), 2023
[PDF] [CODE]
Deeply Explain CNN via Hierarchical Decomposition
Ming-Ming Cheng*, Peng-Tao Jiang*, Ling-Hao Han, Liang Wang, Philip Torr
International Journal of Computer Vision(IJCV), 2023
[PDF] [Online Demo]
L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation
Peng-Tao Jiang, Yuqi Yang, Qibin Hou, Yunchao Wei
IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2022
[PDF] [CODE]
Attention mechanisms in computer vision: A survey
Meng-Hao Guo, Tian-Xing Xu, Jiang-Jiang Liu, Zheng-Ning Liu, Peng-Tao Jiang, Tai-Jiang Mu, Song-Hai Zhang, Ralph R. Martin, Ming-Ming Cheng, and Shi-Min Hu
Computational Visual Media Journal(CVMJ, Best Paper Award), 2022,
[PDF] [CODE]
Personalized Image Semantic Segmentation
Yu Zhang, Chang-bin Zhang, Peng-Tao Jiang, Feng Mao, Ming-Ming Cheng
IEEE/CVF International Conference on Computer Vision (ICCV), 2021
[PDF] [CODE]
Online Attention Accumulation for Weakly Supervised Semantic Segmentation
Peng-Tao Jiang*, Ling-Hao Han*, Qibin Hou, Ming-Ming Cheng, Yunchao Wei
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
[PDF]
Delving Deep into Label Smoothing
Chang-bin Zhang*, Peng-Tao Jiang*, Qibin Hou, Yunchao Wei, Qi Han, Zhen Li, Ming-Ming Cheng
IEEE Transactions on Image Processing (TIP), 2021
[PDF], [CODE]
LayerCAM: Exploring Hierarchical Class Activation Maps for Localization
Peng-Tao Jiang*, Chang-bin Zhang*, Qibin Hou, Ming-Ming Cheng, Yunchao Wei
IEEE Transactions on Image Processing (TIP 2021)
[PDF], [CODE]

Applied to SK Defect Detection Project
Integral Object Mining via Online Attention Accumulation
Peng-Tao Jiang, Qibin Hou, Yang Cao, Ming-Ming Cheng, Yunchao Wei, Hongkai Xiong
IEEE/CVF International Conference on Computer Vision (ICCV), 2019
[PDF], [Code], [Project]
Self-Erasing Network for Integral Object Attention
Qibin Hou, Peng-Tao Jiang, Yunchao Wei, Ming-Ming Cheng
Neural Information Processing Systems (NeurIPS), 2018
[PDF], [Code], [Project]
DEL: Deep Embedding Learning for Efficient Image Segmentation
Yun Liu, Peng-Tao Jiang, Vahan Petrosyan, Shi-Jie Li, Jiawang Bian, Le Zhang, and Ming-Ming Cheng
International Joint Conferences on Artificial Intelligence (IJCAI), 2018
[PDF], [Code] [Project]

Professional Activities

  • Reviewer for TPAMI, TIP, IJCV, IJCAI, IJAC, NeurIPS, CVPR, ICCV, ICML, AAAI, PRCV