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Chufan Wu

2 accepted papers

2020

LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression

COLING 2020main

BERT is a cutting-edge language representation model pre-trained by a large corpus, which achieves superior performances on various natural language understanding tasks. However, a major blocking issue of applying BERT to online services is that it is memory-intensive and leads to unsatisfactory lat…

2020

Reinforced Axial Refinement Network for Monocular 3D Object Detection

ECCV 2020poster

Monocular 3D object detection aims to extract the 3D position and properties of objects from a 2D input image. This is an ill-posed problem with a major difficulty lying in the information loss by depth-agnostic cameras. Conventional approaches sample 3D bounding boxes from the space and infer the r…

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