Publications (24)
Does Video Summarization Require Videos? Quantifying the Effectiveness of Language in Video Summarization
Yoonsoo Nam, Adam Lehavi, Daniel Yang +3
Video summarization remains a huge challenge in computer vision due to the size of the input videos to be summarized. We propose an efficient, language-only video summarizer that a…
ConfidenceBench: Evaluating Confidence Calibration in Large Language Models
Matthew ffrench-Constant, Daniel Yang, Xinmeng Huang +1
Large language models (LLMs) are increasingly deployed in settings where fluent but incorrect answers can be costly. In these settings, accuracy alone is insufficient: models must…
DataS^3: Dataset Subset Selection for Specialization
Neha Hulkund, Alaa Maalouf, Levi Cai +15
In many real-world machine learning (ML) applications (e.g. detecting broken bones in x-ray images, detecting species in camera traps), in practice models need to perform well on s…
A Study of Parallelizable Alternatives to Dynamic Time Warping for Aligning Long Sequences
Daniel Yang, Thaxter Shaw, TJ Tsai
This article investigates several parallelizable alternatives to DTW for estimating the alignment between two long sequences. Whereas most previous work has focused on reducing the…
Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy
Biling Wang, Michael Dohopolski, Ti Bai +10
We evaluated the temporal performance of a deep learning (DL) based artificial intelligence (AI) model for auto segmentation in prostate radiotherapy, seeking to correlate its effi…
Near-optimal Active Reconstruction
Daniel Yang
With the growing practical interest in vision-based tasks for autonomous systems, the need for efficient and complex methods becomes increasingly larger. In the rush to develop new…