activity
20232026
most citedEnhancing Transformer Backbone for Egocentric Video Action Segmentation

2 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2026

DYAD: A Multimodal Dataset of Co-Located Human Assistance

Akhil Ajikumar, Mahya Qorbani, Sakib Reza +2

An embodied assistant working beside a person must track task state, recognize help seeking, choose how to intervene, and produce an appropriate response. Existing procedural datas…

cs.CV2026

OnPoint: Offline-to-Online Multi-Level Distillation for Point-Supervised Online Temporal Action Localization

Sakib Reza, Gauri Jagatap, Mohsen Moghaddam +2

Temporal Action Localization (TAL) typically relies on segment annotations or offline access to full videos, limiting scalability and online use. We introduce Point-Supervised Onli…

cs.HC2025

psiUnity: A Platform for Multimodal Data-Driven XR

Akhil Ajikumar, Sahil Mayenkar, Steven Yoo +2

Extended reality (XR) research increasingly relies on the ability to stream and synchronize multimodal data between headsets and immersive applications for data-driven interaction…

cs.CV2025

REEF: Relevance-Aware and Efficient LLM Adapter for Video Understanding

Sakib Reza, Xiyun Song, Heather Yu +3

Integrating vision models into large language models (LLMs) has sparked significant interest in creating vision-language foundation models, especially for video understanding. Rece…

cs.CV2024

HAT: History-Augmented Anchor Transformer for Online Temporal Action Localization

Sakib Reza, Yuexi Zhang, Mohsen Moghaddam +1

Online video understanding often relies on individual frames, leading to frame-by-frame predictions. Recent advancements such as Online Temporal Action Localization (OnTAL), extend…

cs.CV2023★ 2 cited

Enhancing Transformer Backbone for Egocentric Video Action Segmentation

Sakib Reza, Balaji Sundareshan, Mohsen Moghaddam +1

Egocentric temporal action segmentation in videos is a crucial task in computer vision with applications in various fields such as mixed reality, human behavior analysis, and robot…

cs.HC2023

Augmenting Learning with Augmented Reality: Exploring the Affordances of AR in Supporting Mastery of Complex Psychomotor Tasks

Dong Woo Yoo, Sakib Reza, Nicholas Wilson +2

This research seeks to explore how Augmented Reality (AR) can support learning psychomotor tasks that involve complex manipulation and reasoning processes. The AR prototype was cre…