Zhiding Yu

Zhiding Yu is a senior research scientist at NVIDIA. Before joining NVIDIA in 2018, he received a Ph.D. in ECE from Carnegie Mellon University in 2017, and a M.Phil. in ECE from the Hong Kong University of Science and Technology in 2012. His research interests mainly focus on deep representation learning, weakly/self-supervised learning, transfer learning, and deep structured prediction, with their applications to vision and robotics problems. He is a winner of the Domain Adaptation for Semantic Segmentation Track, WAD Challenge at CVPR 2018. He is a co-author of the best student paper at ISCSLP 2014, and a winner of the best paper award at WACV 2015. His intern work on deep facial expression recognition at Microsoft Research won first runner-up at the EmotiW-SFEW Challenge 2015 and was integrated into the Microsoft Emotion Recognition API under the Microsoft Azure Cognitive Services.

Posts by Zhiding Yu

High quality instance segmentation done fast and efficiently with DiscoBox.
News 2

Segment Objects without Masks and Reduce Annotation Effort Using the DiscoBox DL Framework

Instance segmentation is a core visual recognition problem for detecting and segmenting objects. In the past several years, this area has been one of the holy... 5 MIN READ
Technical Walkthrough 0

Building a Benchmark for Human-Level Concept Learning and Reasoning

Humans have an inherent ability to learn novel concepts from only a few samples and generalize these concepts to different situations. Even though today’s... 10 MIN READ