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About

Ming-Ming Cheng leads research in advanced image and video retrieval, visual attention, and multimodal machine learning. His current work focuses on domain adaptation, few‑shot learning, and applying neural networks to visual tasks. He heads the Media Computing Group, overseeing projects in 3D vision and related areas.

Most cited

436 papers in total

2019 · IEEE Transactions on Pattern Analysis and Machine Intelligence

Res2Net: A New Multi-Scale Backbone Architecture

3,462 citationsRead

2011

Global contrast based salient region detection

3,082 citationsRead

2022 · Computational Visual Media

Attention mechanisms in computer vision: A survey

2,523 citationsRead

2014 · IEEE Transactions on Pattern Analysis and Machine Intelligence

Global Contrast Based Salient Region Detection

2,465 citationsRead

2017

Structure-Measure: A New Way to Evaluate Foreground Maps

1,936 citationsRead

2018

Enhanced-alignment Measure for Binary Foreground Map Evaluation

1,581 citationsRead