activity
20242026
most citedARC-Hunyuan-Video-7B: Structured Video Comprehension of Real-World Shorts

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Making Foresight Actionable: Repurposing Representation Alignment in World Action Models

Lu Qiu, Yizhuo Li, Yi Chen +3

World Action Models (WAMs) offer a promising route for robot manipulation by using video generation models to model future scene evolution before producing control actions. However…

cs.RO2026

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling

Boyu Chen, Yi Chen, Lu Qiu +3

Scaling humanoid foundation models is bottlenecked by the scarcity of robotic data. While massive egocentric human data offers a scalable alternative, bridging the cross-embodiment…

cs.CV2025★ 1 cited

ARC-Hunyuan-Video-7B: Structured Video Comprehension of Real-World Shorts

Yuying Ge, Yixiao Ge, Chen Li +15

Real-world user-generated short videos, especially those distributed on platforms such as WeChat Channel and TikTok, dominate the mobile internet. However, current large multimodal…

cs.CV2025

AnimeShooter: A Multi-Shot Animation Dataset for Reference-Guided Video Generation

Lu Qiu, Yizhuo Li, Yuying Ge +3

Recent advances in AI-generated content (AIGC) have significantly accelerated animation production. To produce engaging animations, it is essential to generate coherent multi-shot…

cs.CV2025

Exploring the Effect of Reinforcement Learning on Video Understanding: Insights from SEED-Bench-R1

Yi Chen, Yuying Ge, Rui Wang +4

Recent advancements in Chain of Thought (COT) generation have significantly improved the reasoning capabilities of Large Language Models (LLMs), with reinforcement learning (RL) em…

cs.AI2024

EgoPlan-Bench2: A Benchmark for Multimodal Large Language Model Planning in Real-World Scenarios

Lu Qiu, Yi Chen, Yuying Ge +3

The advent of Multimodal Large Language Models, leveraging the power of Large Language Models, has recently demonstrated superior multimodal understanding and reasoning abilities,…