Sheng Guo

According to our database, Sheng Guo authored at least 38 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library.

Weixun Wang, Shaopan Xiong, Gengru Chen, Wei Gao, Sheng Guo, Yancheng He, Ju Huang, Jiaheng Liu, Zhendong Li, Xiaoyang Li, Zichen Liu, Haizhou Zhao, Dakai An, Lunxi Cao, Qiyang Cao, Wanxi Deng, Feilei Du, Yiliang Gu, Jiahe Li, Xiang Li, Mingjie Liu, Yijia Luo, Zihe Liu, Yadao Wang, Pei Wang, Tianyuan Wu, Yanan Wu, Yuheng Zhao, Shuaibing Zhao, Jin Yang, Siran Yang, Yingshui Tan, Huimin Yi, Yuchi Xu, Yujin Yuan, Xingyao Zhang, Lin Qu, Wenbo Su, Wei Wang, Jiamang Wang, Bo Zheng

CoRR, June, 2025

PDPP: Projected Diffusion for Procedure Planning in Instructional Videos.

Hanlin Wang, Yilu Wu, Sheng Guo, Limin Wang

IEEE Trans. Pattern Anal. Mach. Intell., March, 2025

Enhancing Document Understanding with Group Position Embedding: A Novel Approach to Incorporate Layout Information.

Yuke Zhu, Yue Zhang, Dongdong Liu, Chi Xie, Zihua Xiong, Bo Zheng, Sheng Guo

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

OmniKV: Dynamic Context Selection for Efficient Long-Context LLMs.

Jitai Hao, Yuke Zhu, Tian Wang, Jun Yu, Xin Xin, Bo Zheng, Zhaochun Ren, Sheng Guo

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

FocusLLaVA: A Coarse-to-Fine Approach for Efficient and Effective Visual Token Compression.

Yuke Zhu, Chi Xie, Shuang Liang, Bo Zheng, Sheng Guo

CoRR, 2024

2023

Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation.

Naicheng Guo, Xiaolei Liu, Shaoshuai Li, Qiongxu Ma, Kaixin Gao, Bing Han, Lin Zheng, Sheng Guo, Xiaobo Guo

ACM Trans. Inf. Syst., 2023

Edge Wasserstein Distance Loss for Oriented Object Detection.

Yuke Zhu, Yumeng Ruan, Zihua Xiong, Sheng Guo

CoRR, 2023

RotaTR: Detection Transformer for Dense and Rotated Object.

Yuke Zhu, Yumeng Ruan, Lei Yang, Sheng Guo

CoRR, 2023

StageInteractor: Query-based Object Detector with Cross-stage Interaction.

Yao Teng, Haisong Liu, Sheng Guo, Limin Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MHSCNET: A Multimodal Hierarchical Shot-Aware Convolutional Network for Video Summarization.

Wujiang Xu, Runzhong Wang, Xiaobo Guo, Shaoshuai Li, Qiongxu Ma, Yunan Zhao, Sheng Guo, Zhenfeng Zhu, Junchi Yan

Proceedings of the IEEE International Conference on Acoustics, 2023

CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets.

Jiange Yang, Sheng Guo, Gangshan Wu, Limin Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization.

Wujiang Xu, Shaoshuai Li, Qiongxu Ma, Yunan Zhao, Sheng Guo, Xiaobo Guo, Bing Han, Junchi Yan, Yifei Xu

CoRR, 2022

AdaMixer: A Fast-Converging Query-Based Object Detector.

Ziteng Gao, Limin Wang, Bing Han, Sheng Guo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Cross-Architecture Self-supervised Video Representation Learning.

Sheng Guo, Zihua Xiong, Yujie Zhong, Limin Wang, Xiaobo Guo, Bing Han, Weilin Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

1st Place Solution for FungiCLEF 2022 Competition: Fine-grained Open-set Fungi Recognition.

Zihua Xiong, Yumeng Ruan, Yifei Hu, Yue Zhang, Yuke Zhu, Sheng Guo, Bing Han

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

InsCLR: Improving Instance Retrieval with Self-Supervision.

Zelu Deng, Yujie Zhong, Sheng Guo, Weilin Huang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification.

Qiufu Li, Linlin Shen, Sheng Guo, Zhihui Lai

IEEE Trans. Image Process., 2021

Mutually-aware Sub-Graphs Differentiable Architecture Search.

Haoxian Tan, Sheng Guo, Yujie Zhong, Weilin Huang

CoRR, 2021

A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark.

Zhenxi Zhu, Limin Wang, Sheng Guo, Gangshan Wu

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Unchain the Search Space with Hierarchical Differentiable Architecture Search.

Guanting Liu, Yujie Zhong, Sheng Guo, Matthew R. Scott, Weilin Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Brain SegNet: 3D local refinement network for brain lesion segmentation.

Xiaojun Hu, Weijian Luo, Jiliang Hu, Sheng Guo, Weilin Huang, Matthew R. Scott, Roland Wiest, Michael Dahlweid, Mauricio Reyes

BMC Medical Imaging, 2020

V4D: 4D Convolutional Neural Networks for Video-level Representation Learning.

Shiwen Zhang, Sheng Guo, Weilin Huang, Matthew R. Scott, Limin Wang

Proceedings of the 8th International Conference on Learning Representations, 2020

Representation Sharing for Fast Object Detector Search and Beyond.

Yujie Zhong, Zelu Deng, Sheng Guo, Matthew R. Scott, Weilin Huang

Proceedings of the Computer Vision - ECCV 2020, 2020

Wavelet Integrated CNNs for Noise-Robust Image Classification.

Qiufu Li, Linlin Shen, Sheng Guo, Zhihui Lai

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Knowledge Integration Networks for Action Recognition.

Shiwen Zhang, Sheng Guo, Limin Wang, Weilin Huang, Matthew R. Scott

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Label-PEnet: Sequential Label Propagation and Enhancement Networks forWeakly Supervised Instance Segmentation.

Weifeng Ge, Sheng Guo, Weilin Huang, Matthew R. Scott

CoRR, 2019

The iMaterialist Fashion Attribute Dataset.

Sheng Guo, Weilin Huang, Xiao Zhang, Prasanna Srikhanta, Yin Cui, Yuan Li, Hartwig Adam, Matthew R. Scott, Serge J. Belongie

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation.

Weifeng Ge, Weilin Huang, Sheng Guo, Matthew R. Scott

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Decoupling Category-wise Independence and Relevance with Self-attention for Multi-label Image Classification.

Luchen Liu, Sheng Guo, Weilin Huang, Matthew R. Scott

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images.

Sheng Guo, Weilin Huang, Haozhi Zhang, Chenfan Zhuang, Dengke Dong, Matthew R. Scott, Dinglong Huang

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Knowledge Guided Disambiguation for Large-Scale Scene Classification With Multi-Resolution CNNs.

Limin Wang, Sheng Guo, Weilin Huang, Yuanjun Xiong, Yu Qiao

IEEE Trans. Image Process., 2017

Locally Supervised Deep Hybrid Model for Scene Recognition.

Sheng Guo, Weilin Huang, Limin Wang, Yu Qiao

IEEE Trans. Image Process., 2017

Improving scale invariant feature transform with local color contrastive descriptor for image classification.

Sheng Guo, Weilin Huang, Yu Qiao

J. Electronic Imaging, 2017

Marine Animal Detection and Recognition with Advanced Deep Learning Models.

Peiqin Zhuang, Linjie Xing, Yanlin Liu, Sheng Guo, Yu Qiao

Proceedings of the Working Notes of CLEF 2017, 2017

2016

Locally-Supervised Deep Hybrid Model for Scene Recognition.

Sheng Guo, Weilin Huang, Yu Qiao

CoRR, 2016

2015

Places205-VGGNet Models for Scene Recognition.

Limin Wang, Sheng Guo, Weilin Huang, Yu Qiao

CoRR, 2015

Local Color Contrastive Descriptor for Image Classification.

Sheng Guo, Weilin Huang, Yu Qiao

CoRR, 2015

Better Exploiting OS-CNNs for Better Event Recognition in Images.

Limin Wang, Zhe Wang, Sheng Guo, Yu Qiao

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015