Peng-Tao Jiang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Topics

Semantic Segmentation

Top Venues

IEEE Trans. Image Process.

Publications

Yuqi Yang, Peng-Tao Jiang, Qibin Hou, Hao Zhang, Jinwei Chen, Bo Li
Multi-Task Dense Prediction via Mixture of Low-Rank Experts. CoRR (2024)
Yuqi Yang, Peng-Tao Jiang, Jing Wang, Hao Zhang, Kai Zhao, Jinwei Chen, Bo Li
Empowering Segmentation Ability to Multi-modal Large Language Models. CoRR (2024)
Cong Geng, Tian Han, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Søren Hauberg, Bo Li
Improving Adversarial Energy-Based Model via Diffusion Process. CoRR (2024)
Jiaxiong Qiu, Yifan Zhu, Peng-Tao Jiang, Ming-Ming Cheng, Bo Ren
RDNeRF: relative depth guided NeRF for dense free view synthesis. Vis. Comput. 40 (3) (2024)
Lv Tang, Haoke Xiao, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li
Scalable Visual State Space Model with Fractal Scanning. CoRR (2024)
Yurui Zhu, Xueyang Fu, Peng-Tao Jiang, Hao Zhang, Qibin Sun, Jinwei Chen, Zheng-Jun Zha, Bo Li
Revisiting Single Image Reflection Removal In the Wild. CoRR (2023)
Jiaxiong Qiu, Peng-Tao Jiang, Yifan Zhu, Ze-Xin Yin, Ming-Ming Cheng, Bo Ren
Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections. CoRR (2023)
Lv Tang, Peng-Tao Jiang, Zhihao Shen, Hao Zhang, Jinwei Chen, Bo Li
Generalization and Hallucination of Large Vision-Language Models through a Camouflaged Lens. CoRR (2023)
Lv Tang, Peng-Tao Jiang, Haoke Xiao, Bo Li
Towards Training-free Open-world Segmentation via Image Prompting Foundation Models. CoRR (2023)
Ming-Ming Cheng, Peng-Tao Jiang, Linghao Han, Liang Wang, Philip H. S. Torr
Deeply Explain CNN Via Hierarchical Decomposition. Int. J. Comput. Vis. 131 (5) (2023)
Peng-Tao Jiang, Yuqi Yang
Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation. CoRR (2023)
Xi Wang, Xueyang Fu, Peng-Tao Jiang, Jie Huang, Mi Zhou, Bo Li, Zheng-Jun Zha
Decoupling Degradation and Content Processing for Adverse Weather Image Restoration. CoRR (2023)
Jiaxiong Qiu, Peng-Tao Jiang, Yifan Zhu, Ze-Xin Yin, Ming-Ming Cheng, Bo Ren
Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections. CVPR (2023)
Peng-Tao Jiang, Yuqi Yang, Yang Cao, Qibin Hou, Ming-Ming Cheng, Chunhua Shen
Traffic Scene Parsing through the TSP6K Dataset. CoRR (2023)
Ming-Ming Cheng, Peng-Tao Jiang, Linghao Han, Liang Wang, Philip H. S. Torr
Deeply Explain CNN via Hierarchical Decomposition. CoRR (2022)
Peng-Tao Jiang, Yuqi Yang, Qibin Hou, Yunchao Wei
L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation. CoRR (2022)
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, Shi-Min Hu
Attention mechanisms in computer vision: A survey. Comput. Vis. Media 8 (3) (2022)
Peng-Tao Jiang, Linghao Han, Qibin Hou, Ming-Ming Cheng, Yunchao Wei
Online Attention Accumulation for Weakly Supervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Peng-Tao Jiang, Yuqi Yang, Qibin Hou, Yunchao Wei
L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation. CVPR (2022)
Yu Zhang, Chang-Bin Zhang, Peng-Tao Jiang, Feng Mao, Ming-Ming Cheng
Personalized Image Semantic Segmentation. CoRR (2021)
Meng-Hao Guo, Tian-Xing Xu, Jiangjiang Liu, Zheng-Ning Liu, Peng-Tao Jiang, Tai-Jiang Mu, Song-Hai Zhang, Ralph R. Martin, Ming-Ming Cheng, Shi-Min Hu
Attention Mechanisms in Computer Vision: A Survey. CoRR (2021)
Peng-Tao Jiang, Chang-Bin Zhang, Qibin Hou, Ming-Ming Cheng, Yunchao Wei
LayerCAM: Exploring Hierarchical Class Activation Maps for Localization. IEEE Trans. Image Process. 30 (2021)
Yu Zhang, Chang-Bin Zhang, Peng-Tao Jiang, Ming-Ming Cheng, Feng Mao
Personalized Image Semantic Segmentation. ICCV (2021)
Chang-Bin Zhang, Peng-Tao Jiang, Qibin Hou, Yunchao Wei, Qi Han, Zhen Li, Ming-Ming Cheng
Delving Deep Into Label Smoothing. IEEE Trans. Image Process. 30 (2021)
Chang-Bin Zhang, Peng-Tao Jiang, Qibin Hou, Yunchao Wei, Qi Han, Zhen Li, Ming-Ming Cheng
Delving Deep into Label Smoothing. CoRR (2020)
Peng-Tao Jiang, Qibin Hou, Yang Cao, Ming-Ming Cheng, Yunchao Wei, Hongkai Xiong
Integral Object Mining via Online Attention Accumulation. ICCV (2019)
Qibin Hou, Peng-Tao Jiang, Yunchao Wei, Ming-Ming Cheng
Self-Erasing Network for Integral Object Attention. CoRR (2018)
Yun Liu, Peng-Tao Jiang, Vahan Petrosyan, Shi-Jie Li, Jiawang Bian, Le Zhang, Ming-Ming Cheng
DEL: Deep Embedding Learning for Efficient Image Segmentation. IJCAI (2018)
Yun Liu, Ming-Ming Cheng, Jia-Wang Bian, Le Zhang, Peng-Tao Jiang, Yang Cao
Semantic Edge Detection with Diverse Deep Supervision. CoRR (2018)
Qibin Hou, Peng-Tao Jiang, Yunchao Wei, Ming-Ming Cheng
Self-Erasing Network for Integral Object Attention. NeurIPS (2018)