The complexity of the real world demands robotic systems that can intelligently adapt to unseen situations. We present STEER, a robot learning framework that bridges high-level, commonsense reasoning with precise, flexible low-level control. Our appr...
Current open-source Large Multimodal Models (LMMs) excel at tasks such as open-vocabulary language grounding and segmentation but can suffer under false premises when queries imply the existence of something that is not actually present in the image....
The Guesser is a task of visual grounding in GuessWhat?! like visual dialogue. It locates the target object in an image supposed by an Oracle oneself over a question-answer based dialogue between a Questioner and the Oracle. Most existing guessers ma...
Referring Image Segmentation (RIS) is a challenging task that requires an algorithm to segment objects referred by free-form language expressions. Despite significant progress in recent years, most state-of-the-art (SOTA) methods still suffer from co...
>*Struggling with restless nights, chronic inflammation that leaves you aching by morning, or skyrocketing stress levels that make unwinding impossible in our always-on 2025 world? You're not alone...
repository with model experiments and observation of seasonal grounding-line changes in response to seasonal thermocline changes. (⭐ 1 | Jupyter Notebook)
Learn how retrieval augmented generation (RAG) uses indexes and grounding data to improve response accuracy in generative AI apps.