most citedPixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning

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cs.CV2026

Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation

Haozhe Wang, Weijia Feng, Jinpeng Yu +8

Visual generators excel at rendering, but they confidently fabricate what they do not know. User requests are unbounded, evolving, and deeply long-tailed: new characters, trending…

cs.CV2025★ 1 cited

CogDoc: Towards Unified thinking in Documents

Qixin Xu, Haozhe Wang, Che Liu +2

Current document reasoning paradigms are constrained by a fundamental trade-off between scalability (processing long-context documents) and fidelity (capturing fine-grained, multim…

cs.CV2025

From Illusion to Intention: Visual Rationale Learning for Vision-Language Reasoning

Changpeng Wang, Haozhe Wang, Xi Chen +6

Recent advances in vision-language reasoning underscore the importance of thinking with images, where models actively ground their reasoning in visual evidence. Yet, prevailing fra…

cs.CV2025

Language-Driven Object-Oriented Two-Stage Method for Scene Graph Anticipation

Xiaomeng Zhu, Changwei Wang, Haozhe Wang +2

A scene graph is a structured representation of objects and their spatio-temporal relationships in dynamic scenes. Scene Graph Anticipation (SGA) involves predicting future scene g…

cs.CV2025★ 1 cited

Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning

Haozhe Wang, Alex Su, Weiming Ren +2

Chain-of-thought reasoning has significantly improved the performance of Large Language Models (LLMs) across various domains. However, this reasoning process has been confined excl…