Shuai Yi

Orcid: 0000-0002-1253-6633

According to our database1, Shuai Yi authored at least 68 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A Holistically-Guided Decoder for Deep Representation Learning With Applications to Semantic Segmentation and Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Variational Relational Point Completion Network for Robust 3D Classification.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Knowledge graph and deep learning based pest detection and identification system for fruit quality.
Internet Things, April, 2023

Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators.
CoRR, 2023

Few-shot Object Detection via Improved Classification Features.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Domain consistency regularization for unsupervised multi-source domain adaptive classification.
Pattern Recognit., 2022

An Empirical Study of Pseudo-Labeling for Image-based 3D Object Detection.
CoRR, 2022

StyleFlow For Content-Fixed Image to Image Translation.
CoRR, 2022

Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation.
CoRR, 2022

Pyramid Fusion Transformer for Semantic Segmentation.
CoRR, 2022

Federated Unsupervised Domain Adaptation for Face Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Probing Visual-Audio Representation for Video Highlight Detection via Hard-Pairs Guided Contrastive Learning.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Person Re-Identification With Deep Kronecker-Product Matching and Group-Shuffling Random Walk.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Playing for 3D Human Recovery.
CoRR, 2021

Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object Detection.
CoRR, 2021

Delving Deep into the Generalization of Vision Transformers under Distribution Shifts.
CoRR, 2021

Towards Unsupervised Domain Adaptation for Deep Face Recognition under Privacy Constraints via Federated Learning.
CoRR, 2021

HAVANA: Hierarchical and Variation-Normalized Autoencoder for Person Re-identification.
CoRR, 2021

Efficient Attention: Attention with Linear Complexities.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

BiPointNet: Binary Neural Network for Point Clouds.
Proceedings of the 9th International Conference on Learning Representations, 2021

Collaborative Unsupervised Visual Representation Learning from Decentralized Data.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Unsupervised 3D Shape Completion Through GAN Inversion.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Variational Relational Point Completion Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Delving Into Localization Errors for Monocular 3D Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

REFINE: Prediction Fusion Network for Panoptic Segmentation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
HMS-Net: Hierarchical Multi-Scale Sparsity-Invariant Network for Sparse Depth Completion.
IEEE Trans. Image Process., 2020

Towards Overcoming False Positives in Visual Relationship Detection.
CoRR, 2020

MagnifierNet: Towards Semantic Regularization and Fusion for Person Re-identification.
CoRR, 2020

Balanced Meta-Softmax for Long-Tailed Visual Recognition.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Performance Optimization of Federated Person Re-identification via Benchmark Analysis.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Pentadent-Net: Pedestrian Attribute Recognition With Distance Refinement And Correlation Mining.
Proceedings of the IEEE International Conference on Image Processing, 2020

Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction.
Proceedings of the Computer Vision - ECCV 2020, 2020

MessyTable: Instance Association in Multiple Camera Views.
Proceedings of the Computer Vision - ECCV 2020, 2020

EcoNAS: Finding Proxies for Economical Neural Architecture Search.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

MagnifierNet: Towards Semantic Adversary and Fusion for Person Re-identification.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

GTC: Guided Training of CTC towards Efficient and Accurate Scene Text Recognition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018
Factorized Attention: Self-Attention with Linear Complexities.
CoRR, 2018

HMS-Net: Hierarchical Multi-scale Sparsity-invariant Network for Sparse Depth Completion.
CoRR, 2018

FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Person Re-identification with Deep Similarity-Guided Graph Neural Network.
Proceedings of the Computer Vision - ECCV 2018, 2018

Learning Monocular Depth by Distilling Cross-Domain Stereo Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

Eliminating Background-Bias for Robust Person Re-Identification.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

End-to-End Deep Kronecker-Product Matching for Person Re-Identification.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Deep Group-Shuffling Random Walk for Person Re-Identification.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Video Person Re-Identification With Competitive Snippet-Similarity Aggregation and Co-Attentive Snippet Embedding.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Visual Importance and Distortion Guided Deep Image Quality Assessment Framework.
IEEE Trans. Multim., 2017

L<sub>0</sub> Regularized Stationary-Time Estimation for Crowd Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Hierarchical Deep Recurrent Architecture for Video Understanding.
CoRR, 2017

Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-Temporal Path Proposals.
Proceedings of the IEEE International Conference on Computer Vision, 2017

HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Pedestrian Behavior Modeling From Stationary Crowds With Applications to Intelligent Surveillance.
IEEE Trans. Image Process., 2016

Pedestrian Behavior Understanding and Prediction with Deep Neural Networks.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Pedestrian Travel Time Estimation in Crowded Scenes.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Understanding pedestrian behaviors from stationary crowd groups.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Profiling stationary crowd groups.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

L0 Regularized Stationary Time Estimation for Crowd Group Analysis.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014


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