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Peng-Tao Jiang
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2020 – today
- 2024
- [j6]Jiaxiong Qiu
, Yifan Zhu, Peng-Tao Jiang, Ming-Ming Cheng
RDNeRF: relative depth guided NeRF for dense free view synthesis. Vis. Comput. 40(3): 1485-1497 (2024) - [c13]Peng-Tao Jiang, Yuqi Yang, Yang Cao, Qibin Hou, Ming-Ming Cheng, Chunhua Shen:
Traffic Scene Parsing Through the TSP6K Dataset. CVPR 2024: 21874-21885 - [c12]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. CVPR 2024: 25468-25478 - [c11]Yuqi Yang, Peng-Tao Jiang, Qibin Hou, Hao Zhang, Jinwei Chen, Bo Li:
Multi-Task Dense Prediction via Mixture of Low-Rank Experts. CVPR 2024: 27927-27937 - [c10]Tianyi Zheng
Beta-Tuned Timestep Diffusion Model. ECCV (3) 2024: 114-130 - [c9]Cong Geng, Tian Han, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Søren Hauberg, Bo Li:
Improving Adversarial Energy-Based Model via Diffusion Process. ICML 2024 - [c8]Tianyi Zheng
Non-uniform Timestep Sampling: Towards Faster Diffusion Model Training. ACM Multimedia 2024: 7036-7045 - [c7]Lv Tang
Chain of Visual Perception: Harnessing Multimodal Large Language Models for Zero-shot Camouflaged Object Detection. ACM Multimedia 2024: 8805-8814 - [i24]Cong Geng, Tian Han, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Søren Hauberg, Bo Li:
Improving Adversarial Energy-Based Model via Diffusion Process. CoRR abs/2403.01666 (2024) - [i23]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 abs/2403.14141 (2024) - [i22]Yuqi Yang, Peng-Tao Jiang, Qibin Hou, Hao Zhang, Jinwei Chen, Bo Li:
Multi-Task Dense Prediction via Mixture of Low-Rank Experts. CoRR abs/2403.17749 (2024) - [i21]Lv Tang, Haoke Xiao, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li:
Scalable Visual State Space Model with Fractal Scanning. CoRR abs/2405.14480 (2024) - [i20]Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Qianru Sun, Yang Tang, Bo Li, Pan Zhou:
Towards Natural Image Matting in the Wild via Real-Scenario Prior. CoRR abs/2410.06593 (2024) - [i19]Qian Yu, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li, Lihe Zhang, Huchuan Lu:
High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity. CoRR abs/2410.10105 (2024) - [i18]Junhao Gu, Peng-Tao Jiang, Hao Zhang, Mi Zhou, Jinwei Chen, Wenming Yang, Bo Li:
ConsisSR: Delving Deep into Consistency in Diffusion-based Image Super-Resolution. CoRR abs/2410.13807 (2024) - [i17]Yuhao Wan, Peng-Tao Jiang, Qibin Hou, Hao Zhang, Jinwei Chen, Ming-Ming Cheng, Bo Li:
ClearSR: Latent Low-Resolution Image Embeddings Help Diffusion-Based Real-World Super Resolution Models See Clearer. CoRR abs/2410.14279 (2024) - [i16]Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Bo Li, Yang Tang, Pan Zhou:
Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation. CoRR abs/2410.21708 (2024) - 2023
- [j5]Ming-Ming Cheng
Deeply Explain CNN Via Hierarchical Decomposition. Int. J. Comput. Vis. 131(5): 1091-1105 (2023) - [c6]Jiaxiong Qiu
Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections. CVPR 2023: 20823-20833 - [i15]Peng-Tao Jiang, Yuqi Yang, Yang Cao, Qibin Hou, Ming-Ming Cheng, Chunhua Shen:
Traffic Scene Parsing through the TSP6K Dataset. CoRR abs/2303.02835 (2023) - [i14]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 abs/2304.08706 (2023) - [i13]Peng-Tao Jiang, Yuqi Yang:
Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation. CoRR abs/2305.01275 (2023) - [i12]Yanwen Fang, Chao Li, Jintai Chen, Peng-Tao Jiang, Yifeng Geng, Xuansong Xie, Eddy K. F. Lam, Guodong Li:
PGformer: Proxy-Bridged Game Transformer for Multi-Person Extremely Interactive Motion Prediction. CoRR abs/2306.03374 (2023) - [i11]Lv Tang, Peng-Tao Jiang, Haoke Xiao, Bo Li:
Towards Training-free Open-world Segmentation via Image Prompting Foundation Models. CoRR abs/2310.10912 (2023) - [i10]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 abs/2311.11273 (2023) - [i9]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 abs/2311.17320 (2023) - [i8]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 abs/2312.05006 (2023) - 2022
- [j4]Meng-Hao Guo, Tian-Xing Xu, Jiang-Jiang Liu, Zheng-Ning Liu, Peng-Tao Jiang, Tai-Jiang Mu
Attention mechanisms in computer vision: A survey. Comput. Vis. Media 8(3): 331-368 (2022) - [j3]Peng-Tao Jiang
Online Attention Accumulation for Weakly Supervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7062-7077 (2022) - [c5]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: 16865-16875 - [i7]Ming-Ming Cheng, Peng-Tao Jiang, Linghao Han, Liang Wang, Philip H. S. Torr:
Deeply Explain CNN via Hierarchical Decomposition. CoRR abs/2201.09205 (2022) - [i6]Peng-Tao Jiang, Yuqi Yang, Qibin Hou, Yunchao Wei:
L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation. CoRR abs/2204.03206 (2022) - 2021
- [j2]Peng-Tao Jiang
LayerCAM: Exploring Hierarchical Class Activation Maps for Localization. IEEE Trans. Image Process. 30: 5875-5888 (2021) - [j1]Chang-Bin Zhang
Delving Deep Into Label Smoothing. IEEE Trans. Image Process. 30: 5984-5996 (2021) - [c4]Yu Zhang, Chang-Bin Zhang, Peng-Tao Jiang, Ming-Ming Cheng
Personalized Image Semantic Segmentation. ICCV 2021: 10529-10539 - [i5]Yu Zhang, Chang-Bin Zhang, Peng-Tao Jiang, Feng Mao, Ming-Ming Cheng:
Personalized Image Semantic Segmentation. CoRR abs/2107.13978 (2021) - [i4]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. CoRR abs/2111.07624 (2021) - 2020
- [i3]Chang-Bin Zhang, Peng-Tao Jiang, Qibin Hou, Yunchao Wei, Qi Han, Zhen Li, Ming-Ming Cheng:
Delving Deep into Label Smoothing. CoRR abs/2011.12562 (2020)
2010 – 2019
- 2019
- [c3]Peng-Tao Jiang, Qibin Hou, Yang Cao, Ming-Ming Cheng
Integral Object Mining via Online Attention Accumulation. ICCV 2019: 2070-2079 - 2018
- [c2]Yun Liu, Peng-Tao Jiang, Vahan Petrosyan, Shi-Jie Li, Jiawang Bian
DEL: Deep Embedding Learning for Efficient Image Segmentation. IJCAI 2018: 864-870 - [c1]Qibin Hou, Peng-Tao Jiang, Yunchao Wei, Ming-Ming Cheng:
Self-Erasing Network for Integral Object Attention. NeurIPS 2018: 547-557 - [i2]Yun Liu, Ming-Ming Cheng, Jia-Wang Bian, Le Zhang, Peng-Tao Jiang, Yang Cao:
Semantic Edge Detection with Diverse Deep Supervision. CoRR abs/1804.02864 (2018) - [i1]Qibin Hou, Peng-Tao Jiang, Yunchao Wei, Ming-Ming Cheng:
Self-Erasing Network for Integral Object Attention. CoRR abs/1810.09821 (2018)
Coauthor Index
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