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20222026
most citedAttention for Causal Relationship Discovery from Biological Neural Dynamics

3 citations · 3 across the 13 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

AstraSR: Real-World Thermal Super-Resolution with GPT-6 Astra

Mengyuan Li, Changhong Fu, Jun Zhang +3

Real-world thermal super-resolution (SR) is constrained by limited sensor resolution and the difficulty of obtaining corresponding high-resolution (HR) observations for direct mode…

cs.CV2026

RealCAD: Towards Real-World Image-to-CAD Reconstruction under Domain Shift and Parameter Bias

Yihe Sun, Ziyu Lu, Kaihua Tang +1

Reconstructing editable Computer-Aided Design (CAD) models from images is essential for downstream modification, manufacturing, and design reuse. However, existing image-to-CAD met…

cs.AI2026

Tree-of-Ideas: Automated Research Ideation via Cross-Trajectory Reasoning over Scholarly Evolution

Xun Li, Yiying Yang, Pengtao Li +8

Effective research ideation requires moving beyond a static understanding of prior work to trace how research problems and solutions evolve across the literature. Existing methods…

cs.CV2026

FAST-GS: Frequency Aware Space-time Gaussian Splatting for Photorealistic Dynamic Novel View Synthesis

Zhengyang Zhang, Ziyu Lu, PengCheng Li +6

4D Gaussian Splatting (4DGS) excels in dynamic 3D reconstruction and real-time novel view synthesis via efficient 4D Gaussian representations and parallelizable rendering. However,…

cs.CV2026

CanvasAgent: Enabling Complex Image Creation and Editing via Visual Tool Orchestration

Hairui Zhu, Yiying Yang, Tengjin Weng +5

Complex image creation and editing often require more than a single generation or editing model. A user request may involve synthesizing images, localizing objects, segmenting regi…

cs.RO2026

OGScene3D: Incremental Open-Vocabulary 3D Gaussian Scene Graph Mapping for Scene Understanding

Siting Zhu, Ziyun Lu, Guangming Wang +5

Open-vocabulary scene understanding is crucial for robotic applications, enabling robots to comprehend complex 3D environmental contexts and supporting various downstream tasks suc…

cs.AI2026

BEAP-Agent: Backtrackable Execution and Adaptive Planning for GUI Agents

Ziyu Lu, Tengjin Weng, Yiying Yang +3

GUI agents are designed to automate repetitive tasks and enhance productivity. However, existing GUI agents struggle to recover once they follow an incorrect exploration path, ofte…