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ORCIDPing Hu 0001
Person information
- unicode name: 胡平
- affiliation: University of Electronic Science and Technology of China, School of Computer Science and Engineering, Sichuan, China
- affiliation: Boston University, Department of Computer Science, MA, USA
- affiliation (former): Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- affiliation (former): University of Chinese Academy of Sciences, School of Computer and Control Engineering, Beijing, China
Other persons with the same name
- Ping Hu — disambiguation page
- Ping Hu 0002
![[0000-0002-0412-6140]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0412-6140")
— Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, China (and 1 more) - Ping Hu 0003 — Stony Brook University, Department of Computer Science, NY, USA
- Ping Hu 0004 — Sun Yat-sen University, School of Mathematics, Guangzhou, China (and 2 more)
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2020 – today
- 2025
[j11]Duo Peng, Qiuhong Ke, Mark He Huang, Ping Hu, Jun Liu:
Unified Prompt Attack Against Text-to-Image Generation Models. IEEE Trans. Pattern Anal. Mach. Intell. 47(6): 4816-4834 (2025)- [j10]Xin Wang, Liang Peng, Rongyao Hu, Ping Hu, Xiaofeng Zhu:
Unsupervised multiplex graph representation learning via maximizing coding rate reduction. Pattern Recognit. 165: 111557 (2025) - [c27]Wenbo Zhang, Lu Zhang, Ping Hu, Liqian Ma, Yunzhi Zhuge, Huchuan Lu:
Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding. AAAI 2025: 10166-10175 - [i21]Duo Peng, Qiuhong Ke, Mark He Huang, Ping Hu, Jun Liu:
Unified Prompt Attack Against Text-to-Image Generation Models. CoRR abs/2502.16423 (2025) - 2024
- [j9]Yumeng Kang, Lu Zhang, Ping Hu, Yu Liu, Huchuan Lu, You He:
Learning depth-aware decomposition for single image dehazing. Comput. Vis. Image Underst. 248: 104069 (2024) - [j8]Ping Hu, Simon Niklaus, Lu Zhang, Stan Sclaroff, Kate Saenko:
Video Frame Interpolation With Many-to-Many Splatting and Spatial Selective Refinement. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 823-836 (2024) - [j7]Ping Hu, Ximeng Sun, Stan Sclaroff, Kate Saenko:
DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition With Limited Annotations. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3450-3462 (2024) - [c26]Reuben Tan, Ximeng Sun, Ping Hu, Jui-Hsien Wang, Hanieh Deilamsalehy, Bryan A. Plummer, Bryan C. Russell, Kate Saenko:
Koala: Key Frame-Conditioned Long Video-LLM. CVPR 2024: 13581-13591 - [c25]Jiazuo Yu, Yunzhi Zhuge, Lu Zhang, Ping Hu, Dong Wang, Huchuan Lu, You He:
Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters. CVPR 2024: 23219-23230 - [c24]Duo Peng, Zhengbo Zhang, Ping Hu, Qiuhong Ke, David K. Y. Yau, Jun Liu:
Harnessing Text-to-Image Diffusion Models for Category-Agnostic Pose Estimation. ECCV (13) 2024: 342-360 - [c23]Yujie Mo, Feiping Nie, Ping Hu, Heng Tao Shen, Zheng Zhang, Xinchao Wang, Xiaofeng Zhu:
Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View. ICLR 2024 - [c22]Xiaolong Wang, Ping Hu, Rongyao Hu, Xiaofeng Zhu:
GATrack: Group-Aware features for multiple object tracking. ICME 2024: 1-6 - [c21]Mengmeng Zhan, Zongqian Wu, Rongyao Hu, Ping Hu, Heng Tao Shen, Xiaofeng Zhu:
Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation. IJCAI 2024: 1643-1651 - [c20]Jincheng Huang, Yujie Mo, Ping Hu, Xiaoshuang Shi, Shangbo Yuan, Zeyu Zhang, Xiaofeng Zhu:
Exploring the Role of Node Diversity in Directed Graph Representation Learning. IJCAI 2024: 2072-2080 - [c19]Zongqian Wu, Yujing Liu, Mengmeng Zhan, Ping Hu, Xiaofeng Zhu:
Adaptive Multi-Modality Prompt Learning. ACM Multimedia 2024: 8672-8680 - [i20]Jiazuo Yu, Yunzhi Zhuge, Lu Zhang, Ping Hu, Dong Wang, Huchuan Lu, You He:
Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters. CoRR abs/2403.11549 (2024) - [i19]Reuben Tan, Ximeng Sun, Ping Hu, Jui-Hsien Wang, Hanieh Deilamsalehy, Bryan A. Plummer, Bryan C. Russell, Kate Saenko:
Koala: Key frame-conditioned long video-LLM. CoRR abs/2404.04346 (2024) - [i18]Yujing Liu, Zongqian Wu, Zhengyu Lu, Ci Nie, Guoqiu Wen, Ping Hu, Xiaofeng Zhu:
Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillation. CoRR abs/2404.17875 (2024) - [i17]Xiaorui Sun, Jun Liu, Heng Tao Shen, Xiaofeng Zhu, Ping Hu:
On Efficient Variants of Segment Anything Model: A Survey. CoRR abs/2410.04960 (2024) - [i16]Yicheng Yang, Pengxiang Li, Lu Zhang, Liqian Ma, Ping Hu, Siyu Du, Yunzhi Zhuge, Xu Jia, Huchuan Lu:
DreamMix: Decoupling Object Attributes for Enhanced Editability in Customized Image Inpainting. CoRR abs/2411.17223 (2024) - [i15]Wenbo Zhang, Lu Zhang, Ping Hu, Liqian Ma, Yunzhi Zhuge, Huchuan Lu:
Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding. CoRR abs/2411.19551 (2024) - 2023
- [j6]Jianyang Zhang, Guowu Yang, Ping Hu, Guosheng Lin, Fengmao Lv:
Semantic Consistent Embedding for Domain Adaptive Zero-Shot Learning. IEEE Trans. Image Process. 32: 4024-4035 (2023) - [c18]Tianjiao Li, Lin Geng Foo, Ping Hu, Xindi Shang, Hossein Rahmani, Zehuan Yuan, Jun Liu:
Token Boosting for Robust Self-Supervised Visual Transformer Pre-training. CVPR 2023: 24027-24038 - [c17]Duo Peng, Ping Hu, Qiuhong Ke, Jun Liu:
Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation. ICCV 2023: 808-820 - [c16]Duo Peng, Li Xu, Qiuhong Ke, Ping Hu, Jun Liu:
Joint Attribute and Model Generalization Learning for Privacy-Preserving Action Recognition. NeurIPS 2023 - [i14]Tianjiao Li, Lin Geng Foo, Ping Hu, Xindi Shang, Hossein Rahmani, Zehuan Yuan, Jun Liu:
Token Boosting for Robust Self-Supervised Visual Transformer Pre-training. CoRR abs/2304.04175 (2023) - [i13]Ping Hu, Ximeng Sun, Stan Sclaroff, Kate Saenko:
DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition with Limited Annotations. CoRR abs/2308.01890 (2023) - [i12]Duo Peng, Ping Hu, Qiuhong Ke, Jun Liu:
Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation. CoRR abs/2308.12350 (2023) - [i11]Ping Hu, Simon Niklaus, Lu Zhang, Stan Sclaroff, Kate Saenko:
Video Frame Interpolation with Many-to-many Splatting and Spatial Selective Refinement. CoRR abs/2310.18946 (2023) - [i10]Zongqian Wu, Yujing Liu, Mengmeng Zhan, Jialie Shen, Ping Hu, Xiaofeng Zhu:
Adaptive Multi-Modality Prompt Learning. CoRR abs/2312.00823 (2023) - 2022
- [j5]Ping Hu, Stan Sclaroff, Kate Saenko:
Leveraging Geometric Structure for Label-Efficient Semi-Supervised Scene Segmentation. IEEE Trans. Image Process. 31: 6320-6330 (2022) - [c15]Zhenyu Chen, Ping Hu, Lu Zhang, Huchuan Lu, You He, Shuo Wang, Xiaoxing Zhang, Maodi Hu, Tao Li:
Video Object Segmentation via Structural Feature Reconfiguration. ACCV (7) 2022: 588-605 - [c14]Ping Hu, Simon Niklaus, Stan Sclaroff, Kate Saenko:
Many-to-many Splatting for Efficient Video Frame Interpolation. CVPR 2022: 3543-3552 - [c13]Dina Bashkirova, Mohamed Abdelfattah, Ziliang Zhu, James Akl, Fadi M. Alladkani, Ping Hu, Vitaly Ablavsky, Berk Çalli, Sarah Adel Bargal, Kate Saenko:
ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes. CVPR 2022: 21115-21125 - [c12]Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko:
Learning to Detect Every Thing in an Open World. ECCV (24) 2022: 268-284 - [c11]Ximeng Sun, Ping Hu, Kate Saenko:
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations. NeurIPS 2022 - [i9]Ping Hu, Simon Niklaus, Stan Sclaroff, Kate Saenko:
Many-to-many Splatting for Efficient Video Frame Interpolation. CoRR abs/2204.03513 (2022) - [i8]Ximeng Sun, Ping Hu, Kate Saenko:
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations. CoRR abs/2206.09541 (2022) - 2021
- [j4]Ping Hu, Federico Perazzi, Fabian Caba Heilbron, Oliver Wang, Zhe Lin, Kate Saenko, Stan Sclaroff:
Real-Time Semantic Segmentation With Fast Attention. IEEE Robotics Autom. Lett. 6(1): 263-270 (2021) - [c10]Masaki Yamazaki, Xingchao Peng, Kuniaki Saito, Ping Hu, Kate Saenko, Yasuhiro Taniguchi:
Weakly Supervised Domain Adaptation using Super-pixel labeling for Semantic Segmentation. MVA 2021: 1-5 - [i7]Dina Bashkirova, Ziliang Zhu, James Akl, Fadi M. Alladkani, Ping Hu, Vitaly Ablavsky, Berk Çalli, Sarah Adel Bargal, Kate Saenko:
ZeroWaste Dataset: Towards Automated Waste Recycling. CoRR abs/2106.02740 (2021) - [i6]Feihong Shen, Jun Liu, Ping Hu:
Conterfactual Generative Zero-Shot Semantic Segmentation. CoRR abs/2106.06360 (2021) - [i5]Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko:
Learning to Detect Every Thing in an Open World. CoRR abs/2112.01698 (2021) - 2020
- [j3]Ping Hu, Gang Wang, Xiangfei Kong, Jason Kuen, Yap-Peng Tan:
Motion-Guided Cascaded Refinement Network for Video Object Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 42(8): 1957-1967 (2020) - [c9]Ping Hu, Fabian Caba, Oliver Wang, Zhe Lin, Stan Sclaroff, Federico Perazzi:
Temporally Distributed Networks for Fast Video Semantic Segmentation. CVPR 2020: 8815-8824 - [c8]Ping Hu, Stan Sclaroff, Kate Saenko:
Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation. NeurIPS 2020 - [c7]Ping Hu, Jun Liu, Gang Wang, Vitaly Ablavsky, Kate Saenko, Stan Sclaroff:
DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation. WACV 2020: 1893-1902 - [i4]Ping Hu, Fabian Caba Heilbron, Oliver Wang, Zhe Lin, Stan Sclaroff, Federico Perazzi:
Temporally Distributed Networks for Fast Video Semantic Segmentation. CoRR abs/2004.01800 (2020) - [i3]Ping Hu, Federico Perazzi, Fabian Caba Heilbron, Oliver Wang, Zhe Lin, Kate Saenko, Stan Sclaroff:
Real-time Semantic Segmentation with Fast Attention. CoRR abs/2007.03815 (2020)
2010 – 2019
- 2019
- [i2]Ping Hu, Ximeng Sun, Kate Saenko, Stan Sclaroff:
Weakly-supervised Compositional FeatureAggregation for Few-shot Recognition. CoRR abs/1906.04833 (2019) - 2018
- [j2]Ping Hu, Gang Wang, Yap-Peng Tan:
Recurrent Spatial Pyramid CNN for Optical Flow Estimation. IEEE Trans. Multim. 20(10): 2814-2823 (2018) - [c6]Ping Hu, Gang Wang, Xiangfei Kong, Jason Kuen, Yap-Peng Tan:
Motion-Guided Cascaded Refinement Network for Video Object Segmentation. CVPR 2018: 1400-1409 - 2017
- [c5]Ping Hu, Bing Shuai, Jun Liu, Gang Wang:
Deep Level Sets for Salient Object Detection. CVPR 2017: 540-549 - [c4]Jun Liu, Gang Wang, Ping Hu, Ling-Yu Duan, Alex C. Kot:
Global Context-Aware Attention LSTM Networks for 3D Action Recognition. CVPR 2017: 3671-3680 - [i1]Jun Liu, Gang Wang, Ling-Yu Duan, Ping Hu, Alex C. Kot:
Skeleton Based Human Action Recognition with Global Context-Aware Attention LSTM Networks. CoRR abs/1707.05740 (2017) - 2016
- [j1]Ping Hu, Weiqiang Wang, Chi Zhang, Ke Lu:
Detecting Salient Objects via Color and Texture Compactness Hypotheses. IEEE Trans. Image Process. 25(10): 4653-4664 (2016) - 2015
- [c3]Ping Hu, Weiqiang Wang, Ke Lu:
Video text detection with text edges and convolutional neural network. ACPR 2015: 675-679 - [c2]Ping Hu, Weiqiang Wang, Ke Lu:
A novel binarization approach for text in images. ICIP 2015: 956-960 - [c1]Ping Hu, Weiqiang Wang, Ke Lu:
Detecting Salient Objects via Spatial and Appearance Compactness Hypotheses. ACM Multimedia 2015: 1087-1090
Coauthor Index
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