Peng-Tao Jiang
Peng-Tao Jiang
Researcher, vivo
Потвърден имейл адрес: mail.nankai.edu.cn - Начална страница
Attention mechanisms in computer vision: A survey
MH Guo, TX Xu, JJ Liu, ZN Liu, PT Jiang, TJ Mu, SH Zhang, RR Martin, ...
Computational visual media 8 (3), 331-368, 2022
LayerCAM: Exploring Hierarchical Class Activation Maps for Localization
PT Jiang, CB Zhang, Q Hou, MM Cheng, Y Wei
IEEE Transactions on Image Processing, 2021
Self-erasing Network for Integral Object Attention
Q Hou, PT Jiang, Y Wei, MM Cheng
Advances in Neural Information Processing Systems 31, 2018
Integral Object Mining via Online Attention Accumulation
PT Jiang, Q Hou, Y Cao, MM Cheng, Y Wei, HK Xiong
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Delving deep into label smoothing
CB Zhang, PT Jiang, Q Hou, Y Wei, Q Han, Z Li, MM Cheng
IEEE Transactions on Image Processing 30, 5984-5996, 2021
L2G: A simple local-to-global knowledge transfer framework for weakly supervised semantic segmentation
PT Jiang, Y Yang, Q Hou, Y Wei
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
DEL: Deep Embedding Learning for Efficient Image Segmentation
Y Liu, PT Jiang, V Petrosyan, SJ Li, LZ Bian, Jiawang, MM Cheng
IJCAI 864, 870, 2018
Online Attention Accumulation for Weakly Supervised Semantic Segmentation
PT Jiang, LH Han, Q Hou, MM Cheng, Y Wei
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 7062 …, 2021
Segment anything is a good pseudo-label generator for weakly supervised semantic segmentation
PT Jiang, Y Yang
arXiv preprint arXiv:2305.01275, 2023
RDNeRF: Relative Depth Guided NeRF for Dense Free View Synthesis
J Qiu, Y Zhu, PT Jiang, MM Cheng, B Ren
The Visual Computer, 1-13, 2023
Deeply Explain CNN via Hierarchical Decomposition
MM Cheng, PT Jiang, LH Han, L Wang, P Torr
International Journal of Computer Vision, 2023, 2022
Looking through the glass: Neural surface reconstruction against high specular reflections
J Qiu, PT Jiang, Y Zhu, ZX Yin, MM Cheng, B Ren
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Personalized Image Semantic Segmentation
Y Zhang, CB Zhang, PT Jiang, MM Cheng, F Mao
arXiv preprint arXiv:2107.13978, 2021
Human-guided design to explain deep learning-based pneumothorax classifier
H Yuan, PT Jiang, G Zhao
Medical Imaging with Deep Learning, short paper track, 2023
Generalization and Hallucination of Large Vision-Language Models through a Camouflaged Lens
L Tang, PT Jiang, Z Shen, H Zhang, J Chen, B Li
arXiv preprint arXiv:2311.11273, 2023
Clinical Domain Knowledge-Derived Template Improves Post Hoc AI Explanations in Pneumothorax Classification
H Yuan, C Hong, P Jiang, G Zhao, NTA Tran, X Xu, YY Yan, N Liu
arXiv preprint arXiv:2403.18871, 2024
Multi-Task Dense Prediction via Mixture of Low-Rank Experts
Y Yang, PT Jiang, Q Hou, H Zhang, J Chen, B Li
arXiv preprint arXiv:2403.17749, 2024
Empowering Segmentation Ability to Multi-modal Large Language Models
Y Yang, PT Jiang, J Wang, H Zhang, K Zhao, J Chen, B Li
arXiv preprint arXiv:2403.14141, 2024
Improving Adversarial Energy-Based Model via Diffusion Process
C Geng, T Han, PT Jiang, H Zhang, J Chen, S Hauberg, B Li
arXiv preprint arXiv:2403.01666, 2024
Boosting Box-supervised Instance Segmentation with Pseudo Depth
X Yu, L Yan, P Jiang, H Chen, B Li, LY Wu, L Ou
arXiv preprint arXiv:2403.01214, 2024
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