Shengyun Peng

According to our database, Shengyun Peng authored at least 20 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Non-Robust Features are Not Always Useful in One-Class Classification.

Matthew Lau, Haoran Wang, Alec Helbling, Matthew Hull, Shengyun Peng, Martin Andreoni, Willian T. Lunardi, Wenke Lee

CoRR, 2024

Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models.

Shengyun Peng, Pin-Yu Chen, Matthew Hull, Duen Horng Chau

CoRR, 2024

LLM Attributor: Interactive Visual Attribution for LLM Generation.

Seongmin Lee, Zijie J. Wang, Aishwarya Chakravarthy, Alec Helbling, Shengyun Peng, Mansi Phute, Duen Horng Chau, Minsuk Kahng

CoRR, 2024

UniTable: Towards a Unified Framework for Table Structure Recognition via Self-Supervised Pretraining.

Shengyun Peng, Seongmin Lee, Xiaojing Wang, Rajarajeswari Balasubramaniyan, Duen Horng Chau

CoRR, 2024

Self-Supervised Pre-Training for Table Structure Recognition Transformer.

Shengyun Peng, Seongmin Lee, Xiaojing Wang, Rajarajeswari Balasubramaniyan, Duen Horng Chau

CoRR, 2024

Interactive Visual Learning for Stable Diffusion.

Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Shengyun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked.

Mansi Phute, Alec Helbling, Matthew Hull, Shengyun Peng, Sebastian Szyller, Cory Cornelius, Duen Horng Chau

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023

High-Performance Transformers for Table Structure Recognition Need Early Convolutions.

Shengyun Peng, Seongmin Lee, Xiaojing Wang, Rajarajeswari Balasubramaniyan, Duen Horng Chau

CoRR, 2023

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion.

Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Sheng-Yun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau

CoRR, 2023

RobArch: Designing Robust Architectures against Adversarial Attacks.

Sheng-Yun Peng, Weilin Xu, Cory Cornelius, Kevin Li, Rahul Duggal, Duen Horng Chau, Jason Martin

CoRR, 2023

Robust Principles: Architectural Design Principles for Adversarially Robust CNNs.

Shengyun Peng, Weilin Xu, Cory Cornelius, Matthew Hull, Kevin Li, Rahul Duggal, Mansi Phute, Jason Martin, Duen Horng Chau

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

IMB-NAS: Neural Architecture Search for Imbalanced Datasets.

Rahul Duggal, Shengyun Peng, Hao Zhou, Duen Horng Chau

CoRR, 2022

SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning.

Nilaksh Das, Sheng-Yun Peng, Duen Horng Chau

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors.

Sivapriya Vellaichamy, Matthew Hull, Zijie J. Wang, Nilaksh Das, Sheng-Yun Peng, Haekyu Park, Duen Horng (Polo) Chau

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

2020

DSiamMFT: An RGB-T fusion tracking method via dynamic Siamese networks using multi-layer feature fusion.

Xingchen Zhang, Ping Ye, Shengyun Peng, Jun Liu, Gang Xiao

Signal Process. Image Commun., 2020

Anti-occlusion object tracking based on correlation filter.

Jun Liu, Gang Xiao, Xingchen Zhang, Ping Ye, Xingzhong Xiong, Shengyun Peng

Signal Image Video Process., 2020

Accurate Anchor Free Tracking.

Shengyun Peng, Yunxuan Yu, Kun Wang, Lei He

CoRR, 2020

2019

Corrections to "SiamFT: An RGB-Infrared Fusion Tracking Method via Fully Convolutional Siamese Networks".

Xingchen Zhang, Ping Ye, Shengyun Peng, Jun Liu, Ke Gong, Gang Xiao

IEEE Access, 2019

SiamFT: An RGB-Infrared Fusion Tracking Method via Fully Convolutional Siamese Networks.

Xingchen Zhang, Ping Ye, Shengyun Peng, Jun Liu, Ke Gong, Gang Xiao

IEEE Access, 2019

Object Fusion Tracking Based on Visible and Infrared Images Using Fully Convolutional Siamese Networks.

Xingchen Zhang, Ping Ye, Dan Qiao, Junhao Zhao, Shengyun Peng, Gang Xiao

Proceedings of the 22th International Conference on Information Fusion, 2019