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20222026
most citedMasked Autoencoders for Egocentric Video Understanding @ Ego4D Challenge 2022

1 citations · 3 across the 12 of their papers we have counts for

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7 papers · 1 filter

cs.CR2026

Budgeted Attack Scheduling for LLM Red-Teaming: The Roles of Static Priors, Semantic Guidance, and Online Feedback

Zhicheng Fang, Han Sun, Jiachen Lei +5

As jailbreak attacks against large language models (LLMs) become increasingly diverse, red-teaming has come to rely on large libraries of jailbreak prompts and attack strategies to…

cs.CV2026

DreamX-Creator: Democratizing Native Audio-Video Generation at 2K Resolution

Jiashu Zhu, Yanhao Zheng, Ruitian Tian +7

Recent video generators often omit audio or synthesize it in a separate stage, limiting reciprocal modeling of visual dynamics and acoustic events. We present DreamX-Creator 1.0, a…

cs.CV2026

FADE: From Passive Verification to Active Discovery in Counterfactual Video Understanding

Fufangchen Zhao, Jinhu Fu, Jiachen Lei +3

Counterfactual video understanding evaluates whether models grasp physical and commonsense regularities. However, existing multiple-choice question (MCQ) benchmarks inadvertently l…

cs.CV2026

DreamX-World 1.0: A General-Purpose Interactive World Model

DreamX Team, Yancheng Bai, Rui Chen +20

DreamX-World 1.0 is a general-purpose interactive text/image-to-video world model for controllable long-horizon generation. It supports camera navigation, revisits to previously ob…

cs.CV2026

Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation

Chenxi Zhao, Chen Zhu, Xiaokun Feng +6

Few-step generation has been a long-standing goal, with recent one-step generation methods exemplified by MeanFlow achieving remarkable results. Existing research on MeanFlow prima…

cs.CV2026

MAR-GRPO: Stabilized GRPO for AR-diffusion Hybrid Image Generation

Xiaoxiao Ma, Jiachen Lei, Tianfei Ren +6

Reinforcement learning (RL) has been successfully applied to autoregressive (AR) and diffusion models. However, extending RL to hybrid AR-diffusion frameworks remains challenging d…

cs.CV2026

Omni-WorldBench: Towards a Comprehensive Interaction-Centric Evaluation for World Models

Meiqi Wu, Zhixin Cai, Fufangchen Zhao +13

Video--based world models have emerged along two dominant paradigms: video generation and 3D reconstruction. However, existing evaluation benchmarks either focus narrowly on visual…