most citedThe Amazon Nova Family of Models: Technical Report and Model Card

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

SVAC: Scaling Is All You Need For Referring Video Object Segmentation

Li Zhang, Haoxiang Gao, Zhihao Zhang +2

Referring Video Object Segmentation (RVOS) aims to segment target objects in video sequences based on natural language descriptions. While recent advances in Multi-modal Large Lang…

cs.IR2025

Multimodal Foundation Model-Driven User Interest Modeling and Behavior Analysis on Short Video Platforms

Yushang Zhao, Yike Peng, Li Zhang +3

With the rapid expansion of user bases on short video platforms, personalized recommendation systems are playing an increasingly critical role in enhancing user experience and opti…

cs.AI2025★ 2 cited

The Amazon Nova Family of Models: Technical Report and Model Card

Amazon AGI, Aaron Langford, Aayush Shah +783

We present Amazon Nova, a new generation of state-of-the-art foundation models that deliver frontier intelligence and industry-leading price performance. Amazon Nova Pro is a highl…

cs.CV2025

OmniCam: Unified Multimodal Video Generation via Camera Control

Xiaoda Yang, Jiayang Xu, Kaixuan Luan +9

Camera control, which achieves diverse visual effects by changing camera position and pose, has attracted widespread attention. However, existing methods face challenges such as co…

cs.CV2025★ 1 cited

Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous Driving

Haoxiang Gao, Li Zhang, Yu Zhao +2

Vision-language models (VLMs) have become a promising approach to enhancing perception and decision-making in autonomous driving. The gap remains in applying VLMs to understand com…