Mark Endo

According to our database, Mark Endo authored at least 10 papers between 2021 and 2026.

Collaborative distances:

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

2026

Do VLMs Perceive or Recall? Probing Visual Perception vs. Memory with Classic Visual Illusions.

Xiaoxiao Sun, Mingyang Li, Kun yuan, Min Woo Sun, Mark Endo, Shengguang Wu, Changlin Li, Yuhui Zhang, Zeyu Wang, Serena Yeung-Levy

CoRR, January, 2026

2025

Downscaling Intelligence: Exploring Perception and Reasoning Bottlenecks in Small Multimodal Models.

Mark Endo, Serena Yeung-Levy

CoRR, November, 2025

Systematic Evaluation of Large Vision-Language Models for Surgical Artificial Intelligence.

Anita Rau, Mark Endo, Josiah Aklilu, Jaewoo Heo, Khaled Saab, Alberto Paderno, Jeffrey Jopling, F. Christopher Holsinger, Serena Yeung-Levy

CoRR, April, 2025

Feather the Throttle: Revisiting Visual Token Pruning for Vision-Language Model Acceleration.

Mark Endo, Xiaohan Wang, Serena Yeung-Levy

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Data-driven discovery of movement-linked heterogeneity in neurodegenerative diseases.

Mark Endo, Favour Nerrise, Qingyu Zhao, Edith V. Sullivan, Li Fei-Fei, Victor W. Henderson, Kilian M. Pohl, Kathleen L. Poston, Ehsan Adeli

Nat. Mac. Intell., 2024

2023

Evaluating progress in automatic chest X-ray radiology report generation.

Feiyang Yu, Mark Endo, Rayan Krishnan, Ian Pan, Andy Tsai, Eduardo Pontes Reis, Eduardo Kaiser Ururahy Nunes Fonseca, Henrique Min Ho Lee, Zahra Shakeri Hossein Abad, Andrew Y. Ng, Curtis P. Langlotz, Vasantha Kumar Venugopal, Pranav Rajpurkar

Patterns, September, 2023

Motion Question Answering via Modular Motion Programs.

Mark Endo, Joy Hsu, Jiaman Li, Jiajun Wu

Proceedings of the International Conference on Machine Learning, 2023

2022

GaitForeMer: Self-supervised Pre-training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation.

Mark Endo, Kathleen L. Poston, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Ehsan Adeli-Mosabbeb

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Retrieval-Based Chest X-Ray Report Generation Using a Pre-trained Contrastive Language-Image Model.

Mark Endo, Rayan Krishnan, Viswesh Krishna, Andrew Y. Ng, Pranav Rajpurkar

Proceedings of the Machine Learning for Health, 2021

CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation.

Soham Uday Gadgil, Mark Endo, Emily Wen, Andrew Y. Ng, Pranav Rajpurkar

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021