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Sheng Guo 0005
Person information
- affiliation: MyBank, Ant Group, Hangzhou, China
- affiliation (former): Malong Technologies, Shenzhen, China
- affiliation (PhD 2017): Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, China
Other persons with the same name
- Sheng Guo — disambiguation page
- Sheng Guo 0001
— Beijing Jiaotong University, School of Mechanical, Electronic and Control Engineering, China
- Sheng Guo 0002 — Virginia Tech, Blacksburg, VA, USA
- Sheng Guo 0003
— Beijing University of Aeronautics and Astronautics, Image Processing Center, China
- Sheng Guo 0004
— Huazhong University of Science and Technology, School of Energy and Power Engineering, Wuhan, China
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2020 – today
- 2023
- [j6]Naicheng Guo
, Xiaolei Liu
, Shaoshuai Li
, Qiongxu Ma
, Kaixin Gao
, Bing Han
, Lin Zheng
, Sheng Guo
, Xiaobo Guo
:
Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation. ACM Trans. Inf. Syst. 41(3): 63:1-63:26 (2023) - [c20]Jiange Yang, Sheng Guo, Gangshan Wu, Limin Wang:
CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets. AAAI 2023: 3145-3154 - [c19]Hanlin Wang, Yilu Wu, Sheng Guo, Limin Wang:
PDPP: Projected Diffusion for Procedure Planning in Instructional Videos. CVPR 2023: 14836-14845 - [c18]Wujiang Xu, Runzhong Wang, Xiaobo Guo, Shaoshuai Li, Qiongxu Ma, Yunan Zhao, Sheng Guo, Zhenfeng Zhu, Junchi Yan:
MHSCNET: A Multimodal Hierarchical Shot-Aware Convolutional Network for Video Summarization. ICASSP 2023: 1-5 - [c17]Yao Teng, Haisong Liu, Sheng Guo, Limin Wang:
StageInteractor: Query-based Object Detector with Cross-stage Interaction. ICCV 2023: 6554-6565 - [i24]Jiange Yang, Sheng Guo, Gangshan Wu, Limin Wang:
CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets. CoRR abs/2302.06148 (2023) - [i23]Hanlin Wang, Yilu Wu, Sheng Guo, Limin Wang:
PDPP: Projected Diffusion for Procedure Planning in Instructional Videos. CoRR abs/2303.14676 (2023) - [i22]Yao Teng, Haisong Liu, Sheng Guo, Limin Wang:
StageInteractor: Query-based Object Detector with Cross-stage Interaction. CoRR abs/2304.04978 (2023) - [i21]Yuke Zhu, Yumeng Ruan, Zihua Xiong, Sheng Guo:
Edge Wasserstein Distance Loss for Oriented Object Detection. CoRR abs/2312.07048 (2023) - 2022
- [c16]Zelu Deng, Yujie Zhong, Sheng Guo, Weilin Huang:
InsCLR: Improving Instance Retrieval with Self-Supervision. AAAI 2022: 516-524 - [c15]Zihua Xiong, Yumeng Ruan, Yifei Hu, Yue Zhang, Yuke Zhu, Sheng Guo, Bing Han:
1st Place Solution for FungiCLEF 2022 Competition: Fine-grained Open-set Fungi Recognition. CLEF (Working Notes) 2022: 2227-2237 - [c14]Ziteng Gao, Limin Wang, Bing Han, Sheng Guo:
AdaMixer: A Fast-Converging Query-Based Object Detector. CVPR 2022: 5354-5363 - [c13]Sheng Guo, Zihua Xiong, Yujie Zhong, Limin Wang, Xiaobo Guo, Bing Han, Weilin Huang:
Cross-Architecture Self-supervised Video Representation Learning. CVPR 2022: 19248-19257 - [i20]Ziteng Gao, Limin Wang, Bing Han, Sheng Guo:
AdaMixer: A Fast-Converging Query-Based Object Detector. CoRR abs/2203.16507 (2022) - [i19]Wujiang Xu, Shaoshuai Li, Qiongxu Ma, Yunan Zhao, Sheng Guo, Xiaobo Guo, Bing Han, Junchi Yan, Yifei Xu:
MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization. CoRR abs/2204.08352 (2022) - [i18]Sheng Guo, Zihua Xiong, Yujie Zhong, Limin Wang, Xiaobo Guo, Bing Han, Weilin Huang:
Cross-Architecture Self-supervised Video Representation Learning. CoRR abs/2205.13313 (2022) - 2021
- [j5]Qiufu Li
, Linlin Shen
, Sheng Guo
, Zhihui Lai
:
WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification. IEEE Trans. Image Process. 30: 7074-7089 (2021) - [c12]Guanting Liu, Yujie Zhong, Sheng Guo, Matthew R. Scott, Weilin Huang:
Unchain the Search Space with Hierarchical Differentiable Architecture Search. AAAI 2021: 8644-8652 - [c11]Zhenxi Zhu, Limin Wang, Sheng Guo, Gangshan Wu:
A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark. BMVC 2021: 237 - [i17]Guanting Liu, Yujie Zhong, Sheng Guo, Matthew R. Scott, Weilin Huang:
Unchain the Search Space with Hierarchical Differentiable Architecture Search. CoRR abs/2101.04028 (2021) - [i16]Haoxian Tan, Sheng Guo, Yujie Zhong, Weilin Huang:
Mutually-aware Sub-Graphs Differentiable Architecture Search. CoRR abs/2107.04324 (2021) - [i15]Qiufu Li, Linlin Shen, Sheng Guo, Zhihui Lai:
WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification. CoRR abs/2107.13335 (2021) - [i14]Zhenxi Zhu, Limin Wang, Sheng Guo, Gangshan Wu:
A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark. CoRR abs/2110.12358 (2021) - [i13]Zelu Deng, Yujie Zhong, Sheng Guo, Weilin Huang:
InsCLR: Improving Instance Retrieval with Self-Supervision. CoRR abs/2112.01390 (2021) - 2020
- [j4]Xiaojun Hu, Weijian Luo, Jiliang Hu, Sheng Guo, Weilin Huang, Matthew R. Scott, Roland Wiest, Michael Dahlweid
, Mauricio Reyes:
Brain SegNet: 3D local refinement network for brain lesion segmentation. BMC Medical Imaging 20(1): 17 (2020) - [c10]Shiwen Zhang, Sheng Guo, Limin Wang, Weilin Huang, Matthew R. Scott:
Knowledge Integration Networks for Action Recognition. AAAI 2020: 12862-12869 - [c9]Qiufu Li, Linlin Shen, Sheng Guo, Zhihui Lai:
Wavelet Integrated CNNs for Noise-Robust Image Classification. CVPR 2020: 7243-7252 - [c8]Yujie Zhong, Zelu Deng, Sheng Guo, Matthew R. Scott, Weilin Huang:
Representation Sharing for Fast Object Detector Search and Beyond. ECCV (19) 2020: 471-487 - [c7]Shiwen Zhang
, Sheng Guo, Weilin Huang, Matthew R. Scott, Limin Wang:
V4D: 4D Convolutional Neural Networks for Video-level Representation Learning. ICLR 2020 - [i12]Shiwen Zhang, Sheng Guo, Weilin Huang, Matthew R. Scott, Limin Wang:
V4D: 4D Convolutional Neural Networks for Video-level Representation Learning. CoRR abs/2002.07442 (2020) - [i11]Shiwen Zhang, Sheng Guo, Limin Wang, Weilin Huang, Matthew R. Scott:
Knowledge Integration Networks for Action Recognition. CoRR abs/2002.07471 (2020) - [i10]Qiufu Li, Linlin Shen, Sheng Guo, Zhihui Lai:
Wavelet Integrated CNNs for Noise-Robust Image Classification. CoRR abs/2005.03337 (2020) - [i9]Yujie Zhong, Zelu Deng, Sheng Guo, Matthew R. Scott, Weilin Huang:
Representation Sharing for Fast Object Detector Search and Beyond. CoRR abs/2007.12075 (2020)
2010 – 2019
- 2019
- [c6]Luchen Liu, Sheng Guo, Weilin Huang, Matthew R. Scott:
Decoupling Category-wise Independence and Relevance with Self-attention for Multi-label Image Classification. ICASSP 2019: 1682-1686 - [c5]Weifeng Ge, Weilin Huang, Sheng Guo, Matthew R. Scott:
Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation. ICCV 2019: 3344-3353 - [c4]Sheng Guo, Weilin Huang, Xiao Zhang, Prasanna Srikhanta, Yin Cui, Yuan Li, Hartwig Adam, Matthew R. Scott, Serge J. Belongie:
The iMaterialist Fashion Attribute Dataset. ICCV Workshops 2019: 3113-3116 - [i8]Sheng Guo, Weilin Huang, Xiao Zhang, Prasanna Srikhanta, Yin Cui, Yuan Li, Matthew R. Scott, Hartwig Adam, Serge J. Belongie:
The iMaterialist Fashion Attribute Dataset. CoRR abs/1906.05750 (2019) - [i7]Weifeng Ge, Sheng Guo, Weilin Huang, Matthew R. Scott:
Label-PEnet: Sequential Label Propagation and Enhancement Networks forWeakly Supervised Instance Segmentation. CoRR abs/1910.02624 (2019) - 2018
- [c3]Sheng Guo, Weilin Huang, Haozhi Zhang, Chenfan Zhuang, Dengke Dong, Matthew R. Scott, Dinglong Huang:
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images. ECCV (10) 2018: 139-154 - [i6]Sheng Guo, Weilin Huang, Haozhi Zhang, Chenfan Zhuang, Dengke Dong, Matthew R. Scott, Dinglong Huang:
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images. CoRR abs/1808.01097 (2018) - 2017
- [j3]Sheng Guo, Weilin Huang, Yu Qiao:
Improving scale invariant feature transform with local color contrastive descriptor for image classification. J. Electronic Imaging 26(1): 13015 (2017) - [j2]Sheng Guo, Weilin Huang, Limin Wang
, Yu Qiao:
Locally Supervised Deep Hybrid Model for Scene Recognition. IEEE Trans. Image Process. 26(2): 808-820 (2017) - [j1]Limin Wang
, Sheng Guo, Weilin Huang, Yuanjun Xiong, Yu Qiao:
Knowledge Guided Disambiguation for Large-Scale Scene Classification With Multi-Resolution CNNs. IEEE Trans. Image Process. 26(4): 2055-2068 (2017) - [c2]Peiqin Zhuang, Linjie Xing, Yanlin Liu, Sheng Guo, Yu Qiao:
Marine Animal Detection and Recognition with Advanced Deep Learning Models. CLEF (Working Notes) 2017 - 2016
- [i5]Sheng Guo, Weilin Huang, Yu Qiao:
Locally-Supervised Deep Hybrid Model for Scene Recognition. CoRR abs/1601.07576 (2016) - [i4]Limin Wang, Sheng Guo, Weilin Huang, Yuanjun Xiong, Yu Qiao:
Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs. CoRR abs/1610.01119 (2016) - 2015
- [c1]Limin Wang, Zhe Wang
, Sheng Guo, Yu Qiao:
Better Exploiting OS-CNNs for Better Event Recognition in Images. ICCV Workshops 2015: 287-294 - [i3]Sheng Guo, Weilin Huang, Yu Qiao:
Local Color Contrastive Descriptor for Image Classification. CoRR abs/1508.00307 (2015) - [i2]Limin Wang, Sheng Guo, Weilin Huang, Yu Qiao:
Places205-VGGNet Models for Scene Recognition. CoRR abs/1508.01667 (2015) - [i1]Limin Wang, Zhe Wang, Sheng Guo, Yu Qiao:
Better Exploiting OS-CNNs for Better Event Recognition in Images. CoRR abs/1510.03979 (2015)
Coauthor Index
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last updated on 2024-08-28 22:27 CEST by the dblp team
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