Yonghong Tian

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Yonghong Tian 001 (Peking University, Beijing, School of Electronics Engineering and Computer Science, National Engineering Laboratory for Video Technology, China)
Yonghong Tian 002 (Inner Mongolia University of Technology, College of Information Engineering, Hohhot, China)

Bibliography

2024

Long-term Frame-Event Visual Tracking: Benchmark Dataset and Baseline.

[BibT_eX]

[DOI]

CoRR, 2024

Noisy Spiking Actor Network for Exploration.

[BibT_eX]

[DOI]

CoRR, 2024

Fully Spiking Actor Network with Intra-layer Connections for Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

CRSOT: Cross-Resolution Object Tracking using Unaligned Frame and Event Cameras.

[BibT_eX]

[DOI]

CoRR, 2024

HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Adaptive Discovering and Merging for Incremental Novel Class Discovery.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition.

[BibT_eX]

[DOI]

CoRR, 2023

Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline.

[BibT_eX]

[DOI]

CoRR, 2023

SODFormer: Streaming Object Detection with Transformer Using Events and Frames.

[BibT_eX]

[DOI]

Dianze Li

Jianing Li

Yonghong Tian

CoRR, 2023

Similarity Analysis of Ransomware Attacks Based on ATT&CK Matrix.

[BibT_eX]

[DOI]

Zheyu Song

Yonghong Tian

Junjin Zhang

IEEE Access, 2023

Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dynamic Belief for Decentralized Multi-Agent Cooperative Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation.

[BibT_eX]

[DOI]

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

Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning.

[BibT_eX]

[DOI]

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

2022

Event-based Monocular Dense Depth Estimation with Recurrent Transformers.

[BibT_eX]

[DOI]

CoRR, 2022

Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-similarity.

[BibT_eX]

[DOI]

CoRR, 2022

Spectrum Random Masking for Generalization in Image-based Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Visible Surface Area Estimation for Irregular Objects.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity.

[BibT_eX]

[DOI]

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

ConformerDTI: Local Features Coupling Global Representations for Drug-Target Interaction Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Collaborative Intelligence: Challenges and Opportunities.

[BibT_eX]

[DOI]

Ivan V. Bajic

Weisi Lin

Yonghong Tian

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

A Convolutional Long Short-Term Memory Neural Network Based Prediction Model.

[BibT_eX]

[DOI]

Yonghong Tian

Qi Wu

Yue Zhang

Int. J. Comput. Commun. Control, August, 2020

Supply-Demand Prediction of DiDi Based on Points of Interests Selection in Extreme Gradient Boosting Algorithm.

[BibT_eX]

[DOI]

Rev. d'Intelligence Artif., 2020

Online Car-Hailing Supply-Demand Forecast Based on Deep Learning.

[BibT_eX]

[DOI]

Ingénierie des Systèmes d Inf., 2020

Urban Multimedia Computing: Emerging Methods in Multimedia Computing for Urban Data Analysis and Applications.

[BibT_eX]

[DOI]

Abdulmotaleb El-Saddik

IEEE Multim., 2020

2019

2D LiDAR Map Prediction via Estimating Motion Flow with GRU.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Peeking the Impact of Points of Interests on Didi.

[BibT_eX]

[DOI]

CoRR, 2018

Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Yonghong Tian

Known people with the same name:

Bibliography

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