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Pengkai Zhu
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2020 – today
- 2024
- [j2]Samarth Mishra, Pengkai Zhu, Venkatesh Saligrama:
Interpretable Compositional Representations for Robust Few-Shot Generalization. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1496-1512 (2024) - [c9]Yuan Gao, Kunyu Shi, Pengkai Zhu, Edouard Belval, Oren Nuriel, Srikar Appalaraju, Shabnam Ghadar, Zhuowen Tu, Vijay Mahadevan, Stefano Soatto:
Enhancing Vision-Language Pre-Training with Rich Supervisions. CVPR 2024: 13480-13491 - [c8]Peng Tang, Pengkai Zhu, Tian Li, Srikar Appalaraju, Vijay Mahadevan, R. Manmatha:
DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models. NAACL-HLT (Findings) 2024: 116-131 - [i9]Yuan Gao, Kunyu Shi, Pengkai Zhu, Edouard Belval, Oren Nuriel, Srikar Appalaraju, Shabnam Ghadar, Vijay Mahadevan, Zhuowen Tu, Stefano Soatto:
Enhancing Vision-Language Pre-training with Rich Supervisions. CoRR abs/2403.03346 (2024) - 2023
- [c7]Ruizhao Zhu, Pengkai Zhu, Samarth Mishra, Venkatesh Saligrama:
Fine-grained Few-shot Recognition by Deep Object Parsing. BMVC 2023: 330-331 - [i8]Peng Tang, Pengkai Zhu, Tian Li, Srikar Appalaraju, Vijay Mahadevan, R. Manmatha:
DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models. CoRR abs/2311.08623 (2023) - 2022
- [e1]Peng Xu, Tingting Zhu, Pengkai Zhu, David A. Clifton, Danielle Belgrave, Yuanting Zhang:
Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 22 July 2022, Baltimore, Maryland, USA. Proceedings of Machine Learning Research 184, PMLR 2022 [contents] - [i7]Pengkai Zhu, Zhaowei Cai, Yuanjun Xiong, Zhuowen Tu, Luis Goncalves, Vijay Mahadevan, Stefano Soatto:
Contrastive Neighborhood Alignment. CoRR abs/2201.01922 (2022) - [i6]Samarth Mishra, Pengkai Zhu, Venkatesh Saligrama:
Learning Compositional Representations for Effective Low-Shot Generalization. CoRR abs/2204.08090 (2022) - [i5]Pengkai Zhu, Ruizhao Zhu, Samarth Mishra, Venkatesh Saligrama:
Fine-grained Few-shot Recognition by Deep Object Parsing. CoRR abs/2207.07110 (2022) - 2021
- [b1]Pengkai Zhu:
Machine learning under limited resources. Boston University, USA, 2021 - 2020
- [j1]Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama:
Zero Shot Detection. IEEE Trans. Circuits Syst. Video Technol. 30(4): 998-1010 (2020) - [c6]Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama:
Don't Even Look Once: Synthesizing Features for Zero-Shot Detection. CVPR 2020: 11690-11699 - [c5]Pengkai Zhu, Ruizhao Zhu, Samarth Mishra, Venkatesh Saligrama:
Low Dimensional Visual Attributes: An Interpretable Image Encoding. ICPR Workshops (3) 2020: 90-102
2010 – 2019
- 2019
- [c4]Pengkai Zhu, Durmus Alp Emre Acar, Nan Feng, Prateek Jain, Venkatesh Saligrama:
Cost aware Inference for IoT Devices. AISTATS 2019: 2770-2779 - [c3]Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama:
Generalized Zero-Shot Recognition Based on Visually Semantic Embedding. CVPR 2019: 2995-3003 - [c2]Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama:
Learning Classifiers for Target Domain with Limited or No Labels. ICML 2019: 7643-7653 - [i4]Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama:
Learning for New Visual Environments with Limited Labels. CoRR abs/1901.09079 (2019) - [i3]Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama:
Dont Even Look Once: Synthesizing Features for Zero-Shot Detection. CoRR abs/1911.07933 (2019) - 2018
- [i2]Pengkai Zhu, Hanxiao Wang, Tolga Bolukbasi, Venkatesh Saligrama:
Zero-Shot Detection. CoRR abs/1803.07113 (2018) - [i1]Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama:
Generalized Zero-Shot Recognition based on Visually Semantic Embedding. CoRR abs/1811.07993 (2018) - 2017
- [c1]Yong Wang, Pengkai Zhu:
Ship Fuzzy Recognition Based on Superstructure with Maximum Membership Rule. CSPS 2017: 2045-2050
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