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From the 1 of 18 linked papers with an AI index.

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20242026
most citedSkillOpt: Executive Strategy for Self-Evolving Agent Skills

1 citations · 1 across the 10 of their papers we have counts for

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cs.CV2026

A Comprehensive Ecosystem for Open-Domain Customized Video Generation

Jingxu Zhang, Yuqian Hong, Daneul Kim +6

Recent progress in video generation has shown impressive visual synthesis capabilities. However, open-domain customized video generation remains limited by the lack of large-scale,…

cs.CV2026

Covering Human Action Space for Computer Use: Data Synthesis and Benchmark

Miaosen Zhang, Xiaohan Zhao, Zhihong Tan +14

Computer-use agents (CUAs) automate on-screen work, as illustrated by GPT-5.4 and Claude. Yet their reliability on complex, low-frequency interactions is still poor, limiting user…

cs.CV2025

FlashPortrait: 6x Faster Infinite Portrait Animation with Adaptive Latent Prediction

Shuyuan Tu, Yueming Pan, Yinming Huang +6

Current diffusion-based acceleration methods for long-portrait animation struggle to ensure identity (ID) consistency. This paper presents FlashPortrait, an end-to-end video diffus…

cs.CV2025

REDUCIO! Generating 1K Video within 16 Seconds using Extremely Compressed Motion Latents

Rui Tian, Qi Dai, Jianmin Bao +5

Commercial video generation models have exhibited realistic, high-fidelity results but are still restricted to limited access. One crucial obstacle for large-scale applications is…

cs.CV2025

Phi-Ground Tech Report: Advancing Perception in GUI Grounding

Miaosen Zhang, Ziqiang Xu, Jialiang Zhu +8

With the development of multimodal reasoning models, Computer Use Agents (CUAs), akin to Jarvis from \textit{"Iron Man"}, are becoming a reality. GUI grounding is a core component…

cs.CV2025

ViaRL: Adaptive Temporal Grounding via Visual Iterated Amplification Reinforcement Learning

Ziqiang Xu, Qi Dai, Tian Xie +5

Video understanding is inherently intention-driven-humans naturally focus on relevant frames based on their goals. Recent advancements in multimodal large language models (MLLMs) h…