← Search

Chengze Li

7 accepted papers

2026

What Do Agents Learn from Trajectory-SFT: Semantics or Interfaces?

ICML 2026spotlight

Large language models are increasingly evaluated as interactive agents, yet standard agent benchmarks conflate two qualitatively distinct sources of success: semantic tool-use and interface-specific interaction pattern memorization. Because both mechanisms can yield identical task success on the ori…

Cited by 0Source ↗Scholar ↗
2025

Advancing Manga Analysis: Comprehensive Segmentation Annotations for the Manga109 Dataset

CVPR 2025poster

Manga, a popular form of multimodal artwork, has traditionally been overlooked in deep learning advancements due to the absence of a robust dataset and comprehensive annotation. Manga segmentation is the key to the digital migration of manga. There exists a significant domain gap between the manga a…

Cited by 0Source ↗PDF ↗Scholar ↗
2025

BlueNeg: A 35mm Negative Film Dataset for Restoring Channel-Heterogeneous Deterioration

ICCV 2025poster

While digitally acquired photographs have been dominating since around 2000, there remains a huge amount of legacy photographs being acquired by optical cameras and are stored in the form of film negatives. In this paper, we address the unique challenge of channel-heterogeneous deterioration in film…

2021

User-Guided Line Art Flat Filling With Split Filling Mechanism

CVPR 2021poster

Flat filling is a critical step in digital artistic content creation with the objective of filling line arts with flat colors. We present a deep learning framework for user-guided line art flat filling that can compute the "influence areas" of the user color scribbles, i.e., the areas where the user…

Cited by 77PDF ↗Scholar ↗
2020

Erasing Appearance Preservation in Optimization-based Smoothing

ECCV 2020poster

Optimization-based image smoothing is routinely formulated as the game between a smoothing energy and an appearance preservation energy. Achieving adequate smoothing is a fundamental goal of these image smoothing algorithms. We show that partially ""erasing"" the appearance preservation facilitate a…

Cited by 8Source ↗PDF ↗Scholar ↗