6 papers
Attend Locally, Remember Linearly: Linear Attention as Cross-Frame Memory for Autoregressive Video Diffusion
Kunyang Li, Mubarak Shah, Yuzhang Shang
Autoregressive (AR) video diffusion is a powerful paradigm for streaming and interactive video generation. However, its reliance on softmax self-attention leads to quadratic comput…
Aero-World: Action-Conditioned Aerial Video Generation from Inertial Controls
Abdul Mohaimen Al Radi, Kunyang Li, Yuzhang Shang +2
Foundation video models produce visually impressive results, but their use in embodied AI remains limited because they are primarily trained on natural language rather than low-lev…
Dexora: Open-source VLA for High-DoF Bimanual Dexterity
Zongzheng Zhang, Jingrui Pang, Zhuo Yang +22
Vision-Language-Action (VLA) models have recently become a central direction in embodied AI, but current systems are restricted to either dual-gripper control or single-arm dextero…
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…
GVD: Guiding Video Diffusion Model for Scalable Video Distillation
Kunyang Li, Jeffrey A Chan Santiago, Sarinda Dhanesh Samarasinghe +2
To address the larger computation and storage requirements associated with large video datasets, video dataset distillation aims to capture spatial and temporal information in a si…
All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages
Ashmal Vayani, Dinura Dissanayake, Hasindri Watawana +66
Existing Large Multimodal Models (LMMs) generally focus on only a few regions and languages. As LMMs continue to improve, it is increasingly important to ensure they understand cul…