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.
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Posts by Zhiding Yu

High quality instance segmentation done fast and efficiently with DiscoBox.
Computer Vision / Video Analytics

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
Data Science

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