Song Wen

Affiliations:
  • Rutgers University, New Brunswick, NJ, USA
  • Hong Kong University of Science and Technology (former)


According to our database1, Song Wen authored at least 14 papers between 2019 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
DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models.
CoRR, 2024

Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models.
CoRR, 2024

Implicit In-context Learning.
CoRR, 2024

ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Second-Order Graph ODEs for Multi-Agent Trajectory Forecasting.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Improving Tuning-Free Real Image Editing with Proximal Guidance.
CoRR, 2023

Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Social ODE: Multi-agent Trajectory Forecasting with Neural Ordinary Differential Equations.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Interacting Dynamic Systems with Neural Ordinary Differential Equations.
Proceedings of the Dynamic Data Driven Applications Systems - 4th International Conference, 2022

2021
Crowd Counting by Self-supervised Transfer Colorization Learning and Global Prior Classification.
CoRR, 2021

Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019
Crowd Counting on Images with Scale Variation and Isolated Clusters.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019


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