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From the 1 of 16 linked papers with an AI index.

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16 papers

cs.CV2026

Parse, Search, and Confirmation: Training-Free Aerial Vision-and-Dialog Navigation with Chain-of-Thought Reasoning and Structured Spatial Memory

Yu Qi, Hongyu Li, Shaofei Huang +6

The paper introduces PSC-AVDN, a training‑free framework for high‑altitude UAV navigation that parses dialog instructions, searches with chain‑of‑thought reasoning, and confirms ta…

cs.CV2026

Robust Trajectory Distillation: Hybrid Reweighting Meets Teacher-Inspired Targets

Kaifeng Chen, Lechao Cheng, Jiyang Li +6

Dataset distillation (DD) condenses large corpora into compact, information-rich subsets for efficient training and reuse. However, under noisy supervision, DD risks condensing cor…

cs.AI2026

CORE: Conflict-Oriented Reasoning for General Multimodal Manipulation Detection

Jinjie Shen, Yaxiong Wang, Yujiao Wu +5

The rapid rise of generative AI has made multimodal fake news increasingly realistic and pervasive, posing severe threats to public trust and social stability. Existing detection m…

cs.CV2026

OmniVL-Guard Pro: A Tool-Augmented Agent for Omnibus Vision-Language Forensics

Jinjie Shen, Zheng Huang, Yuchen Zhang +7

Existing vision-language forgery detection and grounding methods operate under a closed-world paradigm, assuming verification can be completed by the model alone. However, self-con…

cs.CV2026

OmniVL-Guard: Towards Unified Vision-Language Forgery Detection and Grounding via Balanced RL

Jinjie Shen, Jing Wu, Yaxiong Wang +5

Existing forgery detection methods are often limited to uni-modal or bi-modal settings, failing to handle the interleaved text, images, and videos prevalent in real-world misinform…

cs.CV2026

Multi-Scale Global-Instance Prompt Tuning for Continual Test-time Adaptation in Medical Image Segmentation

Lingrui Li, Yanfeng Zhou, Nan Pu +2

Distribution shift is a common challenge in medical images obtained from different clinical centers, significantly hindering the deployment of pre-trained semantic segmentation mod…