Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint

no code implementations • 15 Mar 2024 • Haoyue Tang, Tian Xie, Aosong Feng, Hanyu Wang, Chenyang Zhang, Yang Bai

Solving image inverse problems (e. g., super-resolution and inpainting) requires generating a high fidelity image that matches the given input (the low-resolution image or the masked image).

Image Restoration Super-Resolution

STW-MD: A Novel Spatio-Temporal Weighting and Multi-Step Decision Tree Method for Considering Spatial Heterogeneity in Brain Gene Expression Data

1 code implementation • 18 Oct 2023 • Shanjun Mao, Xiao Huang, Runjiu Chen, Chenyang Zhang, Yizhu Diao, Zongjin Li, Qingzhe Wang, Shan Tang, Shuixia Guo

Motivation: Gene expression during brain development or abnormal development is a biological process that is highly dynamic in spatio and temporal.

Active Learning with Effective Scoring Functions for Semi-Supervised Temporal Action Localization

no code implementations • 31 Aug 2022 • Ding Li, Xuebing Yang, Yongqiang Tang, Chenyang Zhang, Wensheng Zhang

And the other introduces a new metric based on mutual information between adjacent action proposals and evaluates the informativeness of video samples, named Temporal Context Inconsistency (TCI).

Active Learning Informativeness +1

The iMet Collection 2019 Challenge Dataset

1 code implementation • 3 Jun 2019 • Chenyang Zhang, Christine Kaeser-Chen, Grace Vesom, Jennie Choi, Maria Kessler, Serge Belongie

Existing computer vision technologies in artwork recognition focus mainly on instance retrieval or coarse-grained attribute classification.

Attribute Fine-Grained Visual Recognition +2