activity
20192025
most citedRectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness

13 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

RelayFormer: A Unified Local-Global Attention Framework for Scalable Image and Video Manipulation Localization

Wen Huang, Jiarui Yang, Tao Dai +4

Visual manipulation localization (VML) aims to identify tampered regions in images and videos, a task that has become increasingly challenging with the rise of advanced editing too…

cs.CV2023

Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers

Mingqing Wang, Jiawei Li, Zhenyang Li +4

Unsupervised anomaly detection (UAD) has been widely implemented in industrial and medical applications, which reduces the cost of manual annotation and improves efficiency in dise…

cs.CV2022★ 1 cited

Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain

Yujun Huang, Bin Chen, Shiyu Qin +4

Beyond achieving higher compression efficiency over classical image compression codecs, deep image compression is expected to be improved with additional side information, e.g., an…

cs.LG2020★ 3 cited

Rectified Decision Trees: Exploring the Landscape of Interpretable and Effective Machine Learning

Yiming Li, Jiawang Bai, Jiawei Li +3

Interpretability and effectiveness are two essential and indispensable requirements for adopting machine learning methods in reality. In this paper, we propose a knowledge distilla…

cs.LG2019★ 13 cited

Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness

Jiawang Bai, Yiming Li, Jiawei Li +2

How to obtain a model with good interpretability and performance has always been an important research topic. In this paper, we propose rectified decision trees (ReDT), a knowledge…