arXiv:2511.09675v3 Announce Type: replace
Abstract: Non-human primates are our closest living relatives, and analyzing their behavior is central to research in cognition, evolution, and conservation. Computer vision could greatly aid this research, bu…
arXiv:2603.25924v1 Announce Type: new
Abstract: Multimodal AI systems are evaluated by downstream task accuracy, but high accuracy does not mean the underlying data is coherent. A model can score well on Visual Question Answering (VQA) while its input…
arXiv:2510.10163v2 Announce Type: replace
Abstract: Semantic segmentation is essential for automating remote sensing analysis in fields like ecology. However, fine-grained analysis of complex aerial or underwater imagery remains an open challenge, eve…
arXiv:2603.25906v1 Announce Type: new
Abstract: Estimating human pose, classifying actions, and predicting movement progress are essential for human-robot interaction. While vision-based methods suffer from occlusion and privacy concerns in realistic …
arXiv:2508.11919v3 Announce Type: replace
Abstract: Vision-language models (VLMs) have shown significant promise in remote sensing applications, particularly for land-use and land-cover (LULC) mapping via zero-shot classification and retrieval. Howeve…
arXiv:2603.25892v1 Announce Type: new
Abstract: We present THFM, a unified video foundation model for human-centric perception that jointly addresses dense tasks (depth, normals, segmentation, dense pose) and sparse tasks (2d/3d keypoint estimation) w…
arXiv:2505.10496v3 Announce Type: replace
Abstract: We introduce CheXGenBench, a rigorous and multifaceted evaluation framework for synthetic chest radiograph generation that simultaneously assesses fidelity, privacy risks, and clinical utility across…
arXiv:2603.25891v1 Announce Type: new
Abstract: Pre-trained vision-language models (VLMs) excel in multimodal tasks, commonly encoding images as embedding vectors for storage in databases and retrieval via approximate nearest neighbor search (ANNS). H…
arXiv:2407.16541v2 Announce Type: replace
Abstract: Quality assessment and aesthetics assessment aim to evaluate the perceived quality and aesthetics of visual content. Current learning-based methods suffer greatly from the scarcity of labeled data an…
arXiv:2603.25889v1 Announce Type: new
Abstract: Head-mounted devices integrated with eye tracking promise a solution for natural human-computer interaction. However, they typically require per-user calibration for optimal performance due to inter-pers…