arXiv:2508.01184v2 Announce Type: replace
Abstract: A core problem of Embodied AI is to learn object manipulation from observation, as humans do. To achieve this, it is important to localize 3D object affordance areas through observation such as image…
arXiv:2604.01029v1 Announce Type: cross
Abstract: Multi-LLM revision pipelines, in which a second model reviews and improves a draft produced by a first, are widely assumed to derive their gains from genuine error correction. We question this assumpti…
arXiv:2604.00007v1 Announce Type: new
Abstract: We present Dynin-Omni, the first masked-diffusion-based omnimodal foundation model that unifies text, image, and speech understanding and generation, together with video understanding, within a single ar…
arXiv:2604.00534v1 Announce Type: new
Abstract: Remote photoplethysmography (rPPG) enables contactless physiological monitoring by capturing subtle skin-color variations from facial videos. However, most existing methods predominantly rely on time-dom…
arXiv:2506.03753v3 Announce Type: replace
Abstract: Complex scenes present significant challenges for predicting human behaviour due to the abundance of interaction information, such as human-human and humanenvironment interactions. These factors comp…
arXiv:2604.01002v1 Announce Type: cross
Abstract: Multimodal Large Language Models (MLLMs) have shown strong performance on video question answering, but their application to long-form videos is constrained by limited context length and computational …
arXiv:2604.00530v1 Announce Type: new
Abstract: Color affects how we interpret image style and emotion. Previous color grading methods rely on patch-wise recoloring or fixed filter banks, struggling to generalize across creative intents or align with …
arXiv:2604.00004v1 Announce Type: new
Abstract: The extension of context windows in Large Language Models is typically facilitated by scaling positional encodings followed by lightweight Continual Pre-Training (CPT). While effective for processing lon…
arXiv:2503.19851v2 Announce Type: replace
Abstract: In this paper, we introduce a new problem, Online-MMSI, where the model must perform multimodal social interaction understanding (MMSI) using only historical information. Given a recorded video and a…
arXiv:2604.00986v1 Announce Type: cross
Abstract: We study whether phone-use agents respect privacy while completing benign mobile tasks. This question has remained hard to answer because privacy-compliant behavior is not operationalized for phone-use…