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cs.CV2026

MOJITO: Modal Joint Learning for Unified End-to-End Autonomous Driving

Zhijing Cheng, Xuancheng Zhang, Donglin Di +4

End-to-end autonomous driving systems commonly follow a cascaded two-stage pipeline where a perception stage compresses multi-modal sensor inputs into a compact context and a downs…

cs.CV2026

TextGaze: Prompting Gaze Target Estimation with Textual Scene Cues

Junhui She, Fei Wang, Kun Li +4

Gaze target estimation aims to infer the position of a person's gaze within a scene. Within mainstream design logic, multi-branch methods require extra supervision and annotations,…

cs.CV2026

SafeGuard: A Multi-Agent Perception-Reasoning Framework for Social-Risk AI-Generated Video Detection

Wenlin Wu, Sheng Zhou, Peipei Song +3

As video generation paradigms evolve from localized manipulation to full-scene synthesis, AI-generated video detection becomes increasingly challenging, as forgeries exhibit cohere…

cs.CV2026

A New Multi-Domain Benchmark for Micro-Action Recognition and Detection

Yanbin Hao, Pengyu Liu, Xing Wei +3

Micro-actions are short-duration, low-amplitude subtle body movements at the whole-body level that can reveal latent intentions, involuntary reactions, and fine-grained affective c…

cs.CV2026

MuKV: Multi-Grained KV Cache Compression for Long Streaming Video Question-Answering

Junbin Xiao, Jiajun Chen, Tianxiang Sun +2

Long streaming video QA remains challenging due to growing visual tokens and limited reasoning length of large language models (LLMs). KV-caching stores the Key-Value (KV) of the h…

cs.CV2026

Memory-Augmented Query Intent Understanding for Efficient Chat-based Image Retrieval

Xianke Chen, Daizong Liu, Yushuo Lou +5

Different from traditional text-to-image retrieval tasks, chat-based image retrieval allows the human-interactive system to iteratively clarify and refine user intent through multi…