Nutrition estimation is a fundamental task in consumer diet tracking, clinical dietetics, chronic disease management, sports and hospital nutrition, and broader food computing systems. The existing approaches have progressed along two largely separate axes, vision models that rely on calibrated RGB-depth captures and i...
Aman Kumar, Avinash Anand, Chaitanya Lakhchaura et al.
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Large vision-language models (LVLMs) have demonstrated remarkable performance on multimodal reasoning benchmarks, yet their perceptual reliability under physically constrained imaging conditions remains poorly understood. Existing evaluations predominantly assume ideal visual inputs and therefore fail to characterize h...
Jeremy Stephen Gabriel Yee, Zheng-Kui Wang, Zhi-Yu Zhang et al.
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Preprint
Aug 2026
The work positions the work as a controlled reading of which parts of NCA-style computation carry the weight in language modelling, and examines a hierarchical variant of the Neural Cellular Automaton that cascades three stages with windows.
Avni Mittal, Avinash Anand, Ashutosh Kumar et al.
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PACE (Persona Adaptation through Conversational Elicitation), a novel framework for the interactive generation and deployment of structured personas on the Ameca humanoid robot, introduces an Interactive Persona Elicitation Pipeline, enabling the robot to dynamically synthesize a tailored, psychologically grounded iden...
Peizhen Li, Longbing Cao, Megani Rajendran et al.
· arXiv.org · 0 citations
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Jul 2026
An Operation-centric mechanistic framework is introduced that decomposes VLM failures by both the reasoning operation where they originate and the internal computational pathway through which they propagate and provides a principled basis for targeted diagnosis of VLM failures in multimedia reasoning.
Navya Gupta, Bingjie Xu, Avinash Anand et al.
· arXiv.org · 0 citations
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