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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.CV2026

Knowledge-guided Disentanglement with Atomic Actions for Action Recognition

Tianci Wu, Siqi Cao, Guangming Zhu +6

The paper introduces a framework that uses large language models to break down action labels into atomic actions and injects this semantic knowledge into video features to improve…

cs.CV2026

Look Clearly Before Answering: Mitigating Hallucinations in LVLMs via Saliency-Driven Perceptual Realignment

Pengxu Chen, Yao Zhu, Guangming Zhu +4

Large vision-language models (LVLMs) have demonstrated remarkable capabilities in multimodal understanding. However, they remain prone to hallucinations, generating responses that…

cs.LG2026

TrojanTO: Action-Level Backdoor Attacks against Trajectory Optimization Models

Yang Dai, Oubo Ma, Longfei Zhang +6

Recent advances in Trajectory Optimization (TO) models have achieved remarkable success in offline reinforcement learning. However, their vulnerabilities against backdoor attacks a…

cs.CV2026

Sketch and Text Synergy: Fusing Structural Contours and Descriptive Attributes for Fine-Grained Image Retrieval

Siyuan Wang, Hanchen Gao, Guangming Zhu +5

Fine-grained image retrieval via hand-drawn sketches or textual descriptions remains a critical challenge due to inherent modality gaps. While hand-drawn sketches capture complex s…

cs.LG2026

The Power of Decaying Steps: Enhancing Attack Stability and Transferability for Sign-based Optimizers

Wei Tao, Yang Dai, Jincai Huang +1

Crafting adversarial examples can be formulated as an optimization problem. While sign-based optimizers such as I-FGSM and MI-FGSM have become the de facto standard for the induced…