Vivek Chavan — accepted AI-conference papers

2025

IndEgo: A Dataset of Industrial Scenarios and Collaborative Work for Egocentric Assistants

Vivek Chavan, Yasmina Imgrund, Tung Lam Dao, Sanwantri Bai, Bosong Wang, Ze Lu +2

NeurIPS 2025poster

We introduce IndEgo, a multimodal egocentric and exocentric dataset addressing common industrial tasks, including assembly/disassembly, logistics and organisation, inspection and repair, woodworking, and others. The dataset contains 3,460 egocentric recordings (approximately 197 hours), along with 1…

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2023

Towards Realistic Evaluation of Industrial Continual Learning Scenarios with an Emphasis on Energy Consumption and Computational Footprint

Vivek Chavan, Paul Koch, Marian Schlüter, Clemens Briese

ICCV 2023poster

Incremental Learning (IL) aims to develop Machine Learning (ML) models that can learn from continuous streams of data and mitigate catastrophic forgetting. We analyse the current state-of-the-art Class-IL implementations and demonstrate why the current body of research tends to be one-dimensional, w…

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