Yutong Feng

Orcid: 0000-0003-0575-6790

According to our database1, Yutong Feng authored at least 30 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
FlashFace: Human Image Personalization with High-fidelity Identity Preservation.
CoRR, 2024

Spatio-Temporal Field Neural Networks for Air Quality Inference.
CoRR, 2024

2023
SsciBERT: a pre-trained language model for social science texts.
Scientometrics, February, 2023

Compressive Detection of Stochastic Sparse Signals With Unknown Sparsity Degree.
IEEE Signal Process. Lett., 2023

STORM: Structure-Based Overlap Matching for Partial Point Cloud Registration.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

LivePhoto: Real Image Animation with Text-guided Motion Control.
CoRR, 2023

Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following.
CoRR, 2023

Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation.
CoRR, 2023

Check, Locate, Rectify: A Training-Free Layout Calibration System for Text-to-Image Generation.
CoRR, 2023

Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning.
CoRR, 2023

UKnow: A Unified Knowledge Protocol for Common-Sense Reasoning and Vision-Language Pre-training.
CoRR, 2023

Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

ViM: Vision Middleware for Unified Downstream Transferring.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Grow and Merge: A Unified Framework for Continuous Categories Discovery.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Rethinking Supervised Pre-Training for Better Downstream Transferring.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Under-Resourced Machine Learning for Stock Market Prediction.
Proceedings of the 2nd International Conference on Control and Intelligent Robotics, 2022

2021
Exploring Stronger Feature for Temporal Action Localization.
CoRR, 2021

Proposal Relation Network for Temporal Action Detection.
CoRR, 2021

Weakly-Supervised Temporal Action Localization Through Local-Global Background Modeling.
CoRR, 2021

Relation Modeling in Spatio-Temporal Action Localization.
CoRR, 2021

A Stronger Baseline for Ego-Centric Action Detection.
CoRR, 2021

Towards Training Stronger Video Vision Transformers for EPIC-KITCHENS-100 Action Recognition.
CoRR, 2021

Event Stream Super-Resolution via Spatiotemporal Constraint Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

View-Guided Point Cloud Completion.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Extended Network-Based Statistics for Measuring Altered Directed Connectivity Components in the Human Brain.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Training Data Assisted Anomaly Detection of Multi-Pixel Targets In Hyperspectral Imagery.
IEEE Trans. Signal Process., 2020

Coincidence of the Rao Test, Wald Test and GLRT for anomaly detection in hyperspectral imagery.
Signal Process., 2020

Anomaly Detection with Training Data in Hyperspectral Imagery.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
MeshNet: Mesh Neural Network for 3D Shape Representation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Condition Monitoring of Turbine Generator Using Stator Winding Temperature.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018


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