Abstract: The latest advancements in multi-modal large language models (MLLMs) have spurred a strong renewed interest in end-to-end motion planning approaches for autonomous driving. Many end-to-end ...
Abstract: Motivated by depression's significant impact on global health, this work proposes MultiDepNet, a novel multi-modal interpretable depression detection system integrating visual, physiological ...
AI lets you code at warp speed, but without Agile "safety nets" like pair programming and automated tests, you're just ...
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