activity
20222026
most citedMulti-scale Attentive Image De-raining Networks via Neural Architecture Search

37 citations · 41 across the 4 of their papers we have counts for

collaborators

5 papers

math.AG2026

Smoothness criterion for Fano orbifolds and bases of Lagrangian fibrations

Zhiyu Liu

We establish a smoothness criterion for Fano varieties with quotient singularities. As an application, we show that if is a Lagrangian fibration from a compact hyper-Kähle…

cs.CV2025★ 1 cited

EVODiff: Entropy-aware Variance Optimized Diffusion Inference

Shigui Li, Wei Chen, Delu Zeng

Diffusion models (DMs) excel in image generation but suffer from slow inference and training-inference discrepancies. Although gradient-based solvers for DMs accelerate denoising i…

cs.CV2024

Improve Cross-domain Mixed Sampling with Guidance Training for Adaptive Segmentation

Wenlve Zhou, Zhiheng Zhou, Tianlei Wang +1

Unsupervised Domain Adaptation (UDA) endeavors to adjust models trained on a source domain to perform well on a target domain without requiring additional annotations. In the conte…

stat.ML2023★ 3 cited

SciRE-Solver: Accelerating Diffusion Models Sampling by Score-integrand Solver with Recursive Difference

Shigui Li, Wei Chen, Delu Zeng

Diffusion models (DMs) have made significant progress in the fields of image, audio, and video generation. One downside of DMs is their slow iterative process. Recent algorithms fo…

cs.CV2022★ 37 cited

Multi-scale Attentive Image De-raining Networks via Neural Architecture Search

Lei Cai, Yuli Fu, Wanliang Huo +5

Multi-scale architectures and attention modules have shown effectiveness in many deep learning-based image de-raining methods. However, manually designing and integrating these two…