5 papers
DiscussLLM: Teaching Large Language Models When to Speak
Deep Anil Patel, Iain Melvin, Christopher Malon +1
Large Language Models (LLMs) have demonstrated remarkable capabilities in understanding and generating human-like text, yet they largely operate as reactive agents, responding only…
CalibFree: Self-Supervised View Feature Separation for Calibration-Free Multi-Camera Multi-Object Tracking
Ruiqi Xian, Deep Patel, Iain Melvin +3
Multi-camera multi-object tracking (MCMOT) faces significant challenges in maintaining consistent object identities across varying camera perspectives, particularly when precise ca…
MCTR: Multi Camera Tracking Transformer
Alexandru Niculescu-Mizil, Deep Patel, Iain Melvin
Multi-camera tracking plays a pivotal role in various real-world applications. While end-to-end methods have gained significant interest in single-camera tracking, multi-camera tra…
Subgroup Discovery with the Cox Model
Zachary Izzo, Iain Melvin
We study the problem of subgroup discovery for survival analysis, where the goal is to find an interpretable subset of the data on which a Cox model is highly accurate. Our work is…
Group Relative Augmentation for Data Efficient Action Detection
Deep Anil Patel, Iain Melvin, Zachary Izzo +1
Adapting large Video-Language Models (VLMs) for action detection using only a few examples poses challenges like overfitting and the granularity mismatch between scene-level pre-tr…