Runtao Liu

According to our database1, Runtao Liu authored at least 14 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
LLMs Meet Multimodal Generation and Editing: A Survey.
CoRR, 2024

Latent Guard: a Safety Framework for Text-to-image Generation.
CoRR, 2024

Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
SketchInverter: Multi-Class Sketch-Based Image Generation via GAN Inversion.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022
3D Shape Reconstruction from Free-Hand Sketches.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
The Emergence of Objectness: Learning Zero-shot Segmentation from Videos.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Unsupervised Sketch to Photo Synthesis.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
An Unpaired Sketch-to-Photo Translation Model.
CoRR, 2019

CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expressions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017
Using Deep Learning Method for Classification: A Proposed Algorithm for the ISIC 2017 Skin Lesion Classification Challenge.
CoRR, 2017

Automatic Document Metadata Extraction Based on Deep Networks.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

A Symbol Dominance Based Formulae Recognition Approach for PDF Documents.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

CNN Based Page Object Detection in Document Images.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

Citation Metadata Extraction via Deep Neural Network-based Segment Sequence Labeling.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017


  Loading...