Author

Gautham Vinod

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#artificial intelligence Preprint Sep 2026

Mitigating Performance Discrepancy in Cross-Domain 3D Class-Incremental Learning

PolyMem, an exemplar-free approach that implicitly models rich high-order statistics of the feature distribution to enhance cross-domain robustness, is introduced that effectively alleviates the performance discrepancy while improving the model's performance across domains.

Jin-Ge Ma, Gautham Vinod, Bruce Coburn et al. · 0 citations

Jul 2026

Open-KNEAD: Knowledge-grounded Nutrition Estimation via Agentic Decomposition

Multimodal Large Language Models (MLLMs) are increasingly used for dietary assessment from meal images, where retrieval-augmented grounding was shown to sharpen nutrition estimates. However, we find this premise no longer holds for current MLLMs. A modern MLLM's direct estimate now matches or surpasses the full retriev...

Bruce Coburn, Jingbo Yue, Jinge Ma et al. · arXiv.org · 0 citations