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

collaborators

5 papers

cs.AI2026

TrustRoboReward: Preference-Ordered Isotonic Score Editing for Multi-Paradigm Robot Reward Models

Yidong Wang, Yan Zhan, Ziteng Feng +16

Reward models are a bottleneck for reinforcement learning in embodied AI. Long-horizon robotic manipulation requires scalable vision feedback beyond handcrafted rewards or task-spe…

cs.CV2026

Is It Time for the Renaissance of Salient Object Detection in the Era of MLLMs?

Wenzhuo Zhao, Xiuzhi Li, Zhongkuan Mao +6

The zero-shot capabilities of multimodal large language models (MLLMs) are pushing salient object detection (SOD) beyond task-specific supervision. To disentangle MLLMs beyond conv…

cs.CV2026

Thinking Once Is Enough: Intermediate-Layer Evidence Routing for High-Resolution VQA

Zhongkuan Mao, Xianjie Liu, Tianyu Meng +9

The paper proposes a training‑free, single‑pass method that routes intermediate‑layer visual evidence to improve high‑resolution visual question answering without extra image proce…

cs.CR2026

From Stealthy Data Fabrication to Unsafe Driving: Realistic Scenario Attacks on Collaborative Perception

Qingzhao Zhang, Runting Zhang, Z. Morley Mao

Collaborative perception allows connected and autonomous vehicles (CAVs) to improve perception by sharing sensory data, but it also introduces security risks from manipulated input…

cs.CV2026

Camouflage-aware Image-Text Retrieval via Expert Collaboration

Yao Jiang, Zhongkuan Mao, Xuan Wu +2

Camouflaged scene understanding (CSU) has attracted significant attention due to its broad practical implications. However, in this field, robust image-text cross-modal alignment r…