9 citations · 10 across the 7 of their papers we have counts for
8 papers
ESAM++: Efficient Online 3D Perception on the Edge
Qin Liu, Lavisha Aggarwal, Saptarashmi Bandyopadhyay +4
Online 3D scene perception in real time is essential for robotics, AR/VR, and autonomous systems, particularly in edge computing scenarios where computational resources are limited…
From Videos to Conversations: Egocentric Instructions for Task Assistance
Lavisha Aggarwal, Vikas Bahirwani, Andrea Colaco
Many everyday tasks, ranging from appliance repair and cooking to car maintenance, require expert knowledge, particularly for complex, multi-step procedures. Despite growing intere…
Generating Dialogues from Egocentric Instructional Videos for Task Assistance: Dataset, Method and Benchmark
Lavisha Aggarwal, Vikas Bahirwani, Lin Li +1
Many everyday tasks ranging from fixing appliances, cooking recipes to car maintenance require expert knowledge, especially when tasks are complex and multi-step. Despite growing i…
EgoTrigger: Toward Audio-Driven Image Capture for Human Memory Enhancement in All-Day Energy-Efficient Smart Glasses
Akshay Paruchuri, Sinan Hersek, Lavisha Aggarwal +6
All-day smart glasses are likely to emerge as platforms capable of continuous contextual sensing, uniquely positioning them for unprecedented assistance in our daily lives. Integra…
YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks
Saptarashmi Bandyopadhyay, Vikas Bahirwani, Lavisha Aggarwal +3
Multimodal AI Agents are AI models that have the capability of interactively and cooperatively assisting human users to solve day-to-day tasks. Augmented Reality (AR) head worn dev…
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion
Junjiao Tian, Lavisha Aggarwal, Andrea Colaco +2
Producing quality segmentation masks for images is a fundamental problem in computer vision. Recent research has explored large-scale supervised training to enable zero-shot segmen…
Fairness in AI Systems: Mitigating gender bias from language-vision models
Lavisha Aggarwal, Shruti Bhargava
Our society is plagued by several biases, including racial biases, caste biases, and gender bias. As a matter of fact, several years ago, most of these notions were unheard of. The…
Identity Preserving Loss for Learned Image Compression
Jiuhong Xiao, Lavisha Aggarwal, Prithviraj Banerjee +2
Deep learning model inference on embedded devices is challenging due to the limited availability of computation resources. A popular alternative is to perform model inference on th…