3 citations · 3 across the 6 of their papers we have counts for
6 papers
ToolGrad: Efficient Tool-use Dataset Generation with Textual "Gradients"
Zhongyi Zhou, Kohei Uehara, Haoyu Zhang +5
Prior work synthesizes tool-use LLM datasets by first generating a user query, followed by complex tool-use annotations like depth-first search (DFS). This leads to inevitable anno…
Discovering an Image-Adaptive Coordinate System for Photography Processing
Ziteng Cui, Lin Gu, Tatsuya Harada
Curve & Lookup Table (LUT) based methods directly map a pixel to the target output, making them highly efficient tools for real-time photography processing. However, due to extreme…
Emergence of Painting Ability via Recognition-Driven Evolution
Yi Lin, Lin Gu, Ziteng Cui +5
From Paleolithic cave paintings to Impressionism, human painting has evolved to depict increasingly complex and detailed scenes, conveying more nuanced messages. This paper attempt…
Paleoinspired Vision: From Exploring Colour Vision Evolution to Inspiring Camera Design
Junjie Zhang, Zhimin Zong, Lin Gu +8
The evolution of colour vision is captivating, as it reveals the adaptive strategies of extinct species while simultaneously inspiring innovations in modern imaging technology. In…
Frequency-aware Feature Fusion for Dense Image Prediction
Linwei Chen, Ying Fu, Lin Gu +3
Dense image prediction tasks demand features with strong category information and precise spatial boundary details at high resolution. To achieve this, modern hierarchical models o…
Can Physician Judgment Enhance Model Trustworthiness? A Case Study on Predicting Pathological Lymph Nodes in Rectal Cancer
Kazuma Kobayashi, Yasuyuki Takamizawa, Mototaka Miyake +7
Explainability is key to enhancing artificial intelligence's trustworthiness in medicine. However, several issues remain concerning the actual benefit of explainable models for cli…