3 citations · 5 across the 5 of their papers we have counts for
6 papers
Gemma 4 Technical Report
Gemma Team, Sherif El Abd, Vaibhav Aggarwal +320
We introduce Gemma 4, a new generation of open-weight, natively multimodal language models in the Gemma model family. Designed to advance compute efficiency and reasoning, the Gemm…
NurtureNet: A Multi-task Video-based Approach for Newborn Anthropometry
Yash Khandelwal, Mayur Arvind, Sriram Kumar +17
Malnutrition among newborns is a top public health concern in developing countries. Identification and subsequent growth monitoring are key to successful interventions. However, th…
FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects
Mayank Lunayach, Sergey Zakharov, Dian Chen +3
In this work, we address the challenging task of 3D object recognition without the reliance on real-world 3D labeled data. Our goal is to predict the 3D shape, size, and 6D pose of…
Lifelong Wandering: A realistic few-shot online continual learning setting
Mayank Lunayach, James Smith, Zsolt Kira
Online few-shot learning describes a setting where models are trained and evaluated on a stream of data while learning emerging classes. While prior work in this setting has achiev…
Uncertainty based Class Activation Maps for Visual Question Answering
Badri N. Patro, Mayank Lunayach, Vinay P. Namboodiri
Understanding and explaining deep learning models is an imperative task. Towards this, we propose a method that obtains gradient-based certainty estimates that also provide visual…
U-CAM: Visual Explanation using Uncertainty based Class Activation Maps
Badri N. Patro, Mayank Lunayach, Shivansh Patel +1
Understanding and explaining deep learning models is an imperative task. Towards this, we propose a method that obtains gradient-based certainty estimates that also provide visual…