Yemin Shi

Orcid: 0000-0001-9024-7266

Affiliations:
  • Beijing Academy of Artificial Intelligence, China
  • Peking University, School of Electronics Engineering and Computer Science, National Engineering Laboratory for Video Technology, Beijing, China (PhD 2019)


According to our database1, Yemin Shi authored at least 33 papers between 2015 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation.
CoRR, 2024

2023
AutoAgents: A Framework for Automatic Agent Generation.
CoRR, 2023

LLaSM: Large Language and Speech Model.
CoRR, 2023

MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training.
CoRR, 2023

Chinese Open Instruction Generalist: A Preliminary Release.
CoRR, 2023

MemoMusic 3.0: Considering Context at Music Recommendation and Combining Music Theory at Music Generation.
Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023

2022
Kernel Quantization for Efficient Network Compression.
IEEE Access, 2022

2021
Identification of pediatric respiratory diseases using a fine-grained diagnosis system.
J. Biomed. Informatics, 2021

CCF-Net: Composite Context Fusion Network with Inter-Slice Correlative Fusion for Multi-Disease Lesion Detection.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Adaptation-Oriented Feature Projection for One-Shot Action Recognition.
IEEE Trans. Multim., 2020

Kernel Quantization for Efficient Network Compression.
CoRR, 2020

Anonymous Model Pruning for Compressing Deep Neural Networks.
Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020

Learning Compact Networks via Similarity-Aware Channel Pruning.
Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020

Learning Open Set Network with Discriminative Reciprocal Points.
Proceedings of the Computer Vision - ECCV 2020, 2020

Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Can Categories and Attributes Be Learned in a Multi-Task Way?
IEEE Trans. Multim., 2019

P-ODN: Prototype based Open Deep Network for Open Set Recognition.
CoRR, 2019

Bi-directional Re-ranking for Person Re-identification.
Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019

Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Fast Compressed Domain Copy Detection with Motion Vector Imaging.
Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

Multi-Pose Learning based Head-Shoulder Re-identification.
Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

Hierarchical Temporal Memory Enhanced One-Shot Distance Learning for Action Recognition.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Attribute Driven Zero-Shot Classification and Segmentation.
Proceedings of the 2018 IEEE International Conference on Multimedia & Expo Workshops, 2018

SFCM: Learn a Pooling Kernel for Weakly Supervised Object Localization.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

ODN: Opening the Deep Network for Open-Set Action Recognition.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Temporal Attentive Network for Action Recognition.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Deep Transfer Learning for Person Re-Identification.
Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

2017
Sequential Deep Trajectory Descriptor for Action Recognition With Three-Stream CNN.
IEEE Trans. Multim., 2017

Learning Long-Term Dependencies for Action Recognition with a Biologically-Inspired Deep Network.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
shuttleNet: A biologically-inspired RNN with loop connection and parameter sharing.
CoRR, 2016

Joint Network based Attention for Action Recognition.
CoRR, 2016

2015
Learning Deep Trajectory Descriptor for action recognition in videos using deep neural networks.
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015


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