3 papers
cs.CV2026
Medical SAM3: A Foundation Model for Universal Prompt-Driven Medical Image Segmentation
Chongcong Jiang, Tianxingjian Ding, Chuhan Song +7
Promptable segmentation foundation models such as SAM3 have demonstrated strong generalization capabilities through interactive and concept-based prompting. However, their direct a…
cs.CV2026
PackCache: A Training-Free Acceleration Method for Unified Autoregressive Video Generation via Compact KV-Cache
Kunyang Li, Mubarak Shah, Yuzhang Shang
A unified autoregressive model is a Transformer-based framework that addresses diverse multimodal tasks (e.g., text, image, video) as a single sequence modeling problem under a sha…
cs.CV2025
AdaTooler-V: Adaptive Tool-Use for Images and Videos
Chaoyang Wang, Kaituo Feng, Dongyang Chen +8
Recent advances have shown that multimodal large language models (MLLMs) benefit from multimodal interleaved chain-of-thought (CoT) with vision tool interactions. However, existing…