J
Jia Deng
Researcher at Princeton University
Publications - 158
Citations - 110718
Jia Deng is an academic researcher from Princeton University. The author has contributed to research in topics: Computer science & Object detection. The author has an hindex of 50, co-authored 148 publications receiving 73461 citations. Previous affiliations of Jia Deng include University of Michigan & Carnegie Mellon University.
Papers
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Journal ArticleDOI
Deep Patch Visual Odometry
TL;DR: DPVO is accurate and robust while running at 2x-5x real-time speeds on a single RTX-3090 GPU using only 4GB of memory, and outperform all prior work in both accuracy and speed.
Journal ArticleDOI
Learning to name objects
TL;DR: This paper looks at the problem of predicting category labels that mimic how human observers would name objects, related to the concept of entry-level categories first introduced by psychologists in the 1970s and 1980s.
Patent
Method and System for Optimizing Accuracy-Specificity Trade-offs in Large Scale Visual Recognition
TL;DR: In this paper, the authors propose methods for optimizing accuracy-specificity trade-offs in large scale recognition where object categories form a semantic hierarchy consisting of many levels of abstraction, and they show that maintaining high accuracy is increasingly difficult.
Posted Content
Shape from Shading through Shape Evolution
Dawei Yang,Jia Deng +1 more
TL;DR: In this article, the shape-from-shading problem is addressed by training deep networks with synthetic images, which does not need any external shape dataset to render synthetic images and achieves state-of-the-art performance.
Proceedings ArticleDOI
Speaker Naming in Movies
TL;DR: A new model for speaker naming in movies that leverages visual, textual, and acoustic modalities in an unified optimization framework is proposed and significantly outperforms several competitive baselines on the average weighted F-score metric.