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cs.CV2026

AutoDesign: Meta-Harness Optimization for Long-Horizon Agentic Design

Yaxin Luo, Haobin Jiang, Jialv Zou +11

Transforming multimodal sources into condensed and structured media outputs can be fundamentally conceptualized as a long-horizon agentic process centered on a model-harness system…

cs.CV2026

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs

Yi Tang, Xinyi Shang, Jiacheng Cui +12

Modern vision-language models (VLMs) have significantly improved image generation and editing capabilities, making pixel-level image tampering detection increasingly important yet…

cs.CV2026

Hard Labels In! Rethinking the Role of Hard Labels in Mitigating Local Semantic Drift

Jiacheng Cui, Bingkui Tong, Xinyue Bi +3

Soft labels from teacher models are a de facto practice for knowledge transfer and large-scale dataset distillation (e.g., SRe2L, LPLD). However, when we limit the number of crops…

cs.CV2026

Covering Human Action Space for Computer Use: Data Synthesis and Benchmark

Miaosen Zhang, Xiaohan Zhao, Zhihong Tan +14

Computer-use agents (CUAs) automate on-screen work, as illustrated by GPT-5.4 and Claude. Yet their reliability on complex, low-frequency interactions is still poor, limiting user…

cs.CV2026

From Masks to Pixels and Meaning: A New Taxonomy, Benchmark, and Metrics for VLM Image Tampering

Xinyi Shang, Yi Tang, Jiacheng Cui +9

Existing tampering detection benchmarks largely rely on object masks, which severely misalign with the true edit signal: many pixels inside a mask are untouched or only trivially m…

cs.CV2026

Exploring 3D Dataset Pruning

Xiaohan Zhao, Xinyi Shang, Jiacheng Liu +1

Dataset pruning has been widely studied for 2D images to remove redundancy and accelerate training, while particular pruning methods for 3D data remain largely unexplored. In this…