6 papers · 1 filter
Do You See What I Am Pointing At? Gesture-Based Egocentric Video Question Answering
Yura Choi, Roy Miles, Rolandos Alexandros Potamias +3
Understanding and answering questions based on a user's pointing gesture is essential for next-generation egocentric AI assistants. However, current Multimodal Large Language Model…
SATGround: A Spatially-Aware Approach for Visual Grounding in Remote Sensing
Aysim Toker, Andreea-Maria Oncescu, Roy Miles +2
Vision-language models (VLMs) are emerging as powerful generalist tools for remote sensing, capable of integrating information across diverse tasks and enabling flexible, instructi…
RetouchLLM: Training-free Code-based Image Retouching with Vision Language Models
Moon Ye-Bin, Roy Miles, Tae-Hyun Oh +2
Image retouching not only enhances visual quality but also serves as a means of expressing personal preferences and emotions. However, existing learning-based approaches require la…
Region-based Cluster Discrimination for Visual Representation Learning
Yin Xie, Kaicheng Yang, Xiang An +9
Learning visual representations is foundational for a broad spectrum of downstream tasks. Although recent vision-language contrastive models, such as CLIP and SigLIP, have achieved…
VeLoRA: Memory Efficient Training using Rank-1 Sub-Token Projections
Roy Miles, Pradyumna Reddy, Ismail Elezi +1
Large language models (LLMs) have recently emerged as powerful tools for tackling many language-processing tasks. Despite their success, training and fine-tuning these models is st…
Improving Knowledge Distillation using Orthogonal Projections
Roy Miles, Ismail Elezi, Jiankang Deng
Knowledge distillation is an effective method for training small and efficient deep learning models. However, the efficacy of a single method can degenerate when transferring to ot…