Sheng Guo

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 40

Top Topics

Weakly Supervised

Scene Recognition

Lesion Segmentation

Image Classification

Top Venues

IEEE Trans. Image Process.

Publications

Jiange Yang, Sheng Guo, Gangshan Wu, Limin Wang
CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets. CoRR (2023)
Yao Teng, Haisong Liu, Sheng Guo, Limin Wang
StageInteractor: Query-based Object Detector with Cross-stage Interaction. ICCV (2023)
Hanlin Wang, Yilu Wu, Sheng Guo, Limin Wang
PDPP: Projected Diffusion for Procedure Planning in Instructional Videos. CVPR (2023)
Jiange Yang, Sheng Guo, Gangshan Wu, Limin Wang
CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets. AAAI (2023)
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) (2023)
Yuke Zhu, Yumeng Ruan, Zihua Xiong, Sheng Guo
Edge Wasserstein Distance Loss for Oriented Object Detection. CoRR (2023)
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)
Sheng Guo, Zihua Xiong, Yujie Zhong, Limin Wang, Xiaobo Guo, Bing Han, Weilin Huang
Cross-Architecture Self-supervised Video Representation Learning. CoRR (2022)
Zelu Deng, Yujie Zhong, Sheng Guo, Weilin Huang
InsCLR: Improving Instance Retrieval with Self-Supervision. AAAI (2022)
Ziteng Gao, Limin Wang, Bing Han, Sheng Guo
AdaMixer: A Fast-Converging Query-Based Object Detector. CoRR (2022)
Ziteng Gao, Limin Wang, Bing Han, Sheng Guo
AdaMixer: A Fast-Converging Query-Based Object Detector. CVPR (2022)
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)
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 (2022)
Sheng Guo, Zihua Xiong, Yujie Zhong, Limin Wang, Xiaobo Guo, Bing Han, Weilin Huang
Cross-Architecture Self-supervised Video Representation Learning. CVPR (2022)
Zhenxi Zhu, Limin Wang, Sheng Guo, Gangshan Wu
A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark. BMVC (2021)
Guanting Liu, Yujie Zhong, Sheng Guo, Matthew R. Scott, Weilin Huang
Unchain the Search Space with Hierarchical Differentiable Architecture Search. AAAI (2021)
Guanting Liu, Yujie Zhong, Sheng Guo, Matthew R. Scott, Weilin Huang
Unchain the Search Space with Hierarchical Differentiable Architecture Search. CoRR (2021)
Zelu Deng, Yujie Zhong, Sheng Guo, Weilin Huang
InsCLR: Improving Instance Retrieval with Self-Supervision. CoRR (2021)
Haoxian Tan, Sheng Guo, Yujie Zhong, Weilin Huang
Mutually-aware Sub-Graphs Differentiable Architecture Search. CoRR (2021)
Zhenxi Zhu, Limin Wang, Sheng Guo, Gangshan Wu
A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark. CoRR (2021)
Shiwen Zhang, Sheng Guo, Weilin Huang, Matthew R. Scott, Limin Wang
V4D: 4D Convolutional Neural Networks for Video-level Representation Learning. CoRR (2020)
Yujie Zhong, Zelu Deng, Sheng Guo, Matthew R. Scott, Weilin Huang
Representation Sharing for Fast Object Detector Search and Beyond. ECCV (19) (2020)
Shiwen Zhang, Sheng Guo, Limin Wang, Weilin Huang, Matthew R. Scott
Knowledge Integration Networks for Action Recognition. AAAI (2020)
Yujie Zhong, Zelu Deng, Sheng Guo, Matthew R. Scott, Weilin Huang
Representation Sharing for Fast Object Detector Search and Beyond. CoRR (2020)
Shiwen Zhang, Sheng Guo, Weilin Huang, Matthew R. Scott, Limin Wang
V4D: 4D Convolutional Neural Networks for Video-level Representation Learning. ICLR (2020)
Shiwen Zhang, Sheng Guo, Limin Wang, Weilin Huang, Matthew R. Scott
Knowledge Integration Networks for Action Recognition. CoRR (2020)
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) (2020)
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)
Weifeng Ge, Sheng Guo, Weilin Huang, Matthew R. Scott
Label-PEnet: Sequential Label Propagation and Enhancement Networks forWeakly Supervised Instance Segmentation. CoRR (2019)
Weifeng Ge, Weilin Huang, Sheng Guo, Matthew R. Scott
Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation. ICCV (2019)
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)
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 (2019)
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)
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 (2018)
Sheng Guo, Weilin Huang, Limin Wang, Yu Qiao
Locally Supervised Deep Hybrid Model for Scene Recognition. IEEE Trans. Image Process. 26 (2) (2017)
Peiqin Zhuang, Linjie Xing, Yanlin Liu, Sheng Guo, Yu Qiao
Marine Animal Detection and Recognition with Advanced Deep Learning Models. CLEF (Working Notes) (2017)
Sheng Guo, Weilin Huang, Yu Qiao
Improving scale invariant feature transform with local color contrastive descriptor for image classification. J. Electronic Imaging 26 (1) (2017)
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) (2017)
Sheng Guo, Weilin Huang, Yu Qiao
Locally-Supervised Deep Hybrid Model for Scene Recognition. CoRR (2016)
Limin Wang, Sheng Guo, Weilin Huang, Yuanjun Xiong, Yu Qiao
Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs. CoRR (2016)
Limin Wang, Zhe Wang, Sheng Guo, Yu Qiao
Better Exploiting OS-CNNs for Better Event Recognition in Images. ICCV Workshops (2015)
Limin Wang, Zhe Wang, Sheng Guo, Yu Qiao
Better Exploiting OS-CNNs for Better Event Recognition in Images. CoRR (2015)
Sheng Guo, Weilin Huang, Yu Qiao
Local Color Contrastive Descriptor for Image Classification. CoRR (2015)
Limin Wang, Sheng Guo, Weilin Huang, Yu Qiao
Places205-VGGNet Models for Scene Recognition. CoRR (2015)