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20242026
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cs.CV2026

Trace, Verify, and Correct: A Training-Free Framework for Spatial Reasoning in Multimodal LLMs

Yang Yang, Jiawei Chen, Tairan Chen +1

Although Multimodal Large Language Models (MLLMs) have made substantial progress, their spatial reasoning may still produce intermediate judgments inconsistent with the input image…

cs.CV2026

ShredBench: Evaluating the Semantic Reasoning Capabilities of Multimodal LLMs in Document Reconstruction

Zichun Guo, Yuling Shi, Wenhao Zeng +6

Multimodal Large Language Models (MLLMs) have achieved remarkable performance in Visually Rich Document Understanding (VRDU) tasks, but their capabilities are mainly evaluated on p…

cs.CV2026

DO-Bench: An Attributable Benchmark for Diagnosing Object Hallucination in Vision-Language Models

JiYang Wang, Jiawei Chen, Mengqi Xiao +3

Object level hallucination remains a central reliability challenge for vision language models (VLMs), particularly in binary object existence verification. Existing benchmarks emph…

cs.CV2026

Face-D(^2)CL: Multi-Domain Synergistic Representation with Dual Continual Learning for Facial DeepFake Detection

Yushuo Zhang, Yu Cheng, Yongkang Hu +4

Facial forgery techniques are advancing rapidly, posing severe threats to public trust and information security while imposing higher demands on the continual adaptation of DeepFak…

cs.CV2025

Who Can See Through You? Adversarial Shielding Against VLM-Based Attribute Inference Attacks

Yucheng Fan, Jiawei Chen, Yu Tian +1

As vision-language models (VLMs) become widely adopted, VLM-based attribute inference attacks have emerged as a serious privacy concern, enabling adversaries to infer private attri…

cs.CV2024

FaceCat: Enhancing Face Recognition Security with a Unified Diffusion Model

Jiawei Chen, Xiao Yang, Yinpeng Dong +2

Face anti-spoofing (FAS) and adversarial detection (FAD) have been regarded as critical technologies to ensure the safety of face recognition systems. However, due to limited pract…