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- Simultaneous Learning from Human Pose and Object Cues for Real-Time Activity Recognition11
This paper forms human activity recognition as a joint optimization problem under a unified mathematical framework, which uses a regression-like loss function to integrate human pose and object cues and defines structured sparsity-inducing norms to identify discriminative body joints and object attributes.
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- RCA: Region Conditioned Adaptation for Visual Abductive Reasoning6
A simple yet effective Region Conditioned Adaptation is proposed, a hybrid parameter-efficient fine-tuning method that equips the frozen CLIP with the ability to infer explanations from local visual cues, and is generalizable to local perception benchmarks like RefCOCO.
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Publication data from OpenAlex; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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