research
∙
01/17/2021
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction
Over the last few years, we have witnessed tremendous progress on many s...
share
research
∙
12/23/2020
Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars
We are interested in understanding whether retrieval-based localization ...
research
∙
12/20/2020
Learning to Localize Through Compressed Binary Maps
One of the main difficulties of scaling current localization systems to ...
research
∙
10/29/2020
Permute, Quantize, and Fine-tune: Efficient Compression of Neural Networks
Compressing large neural networks is an important step for their deploym...
research
∙
05/08/2017
A simple yet effective baseline for 3d human pose estimation
Following the success of deep convolutional networks, state-of-the-art m...
research
∙
05/06/2017
On human motion prediction using recurrent neural networks
Human motion modelling is a classical problem at the intersection of gra...
research
∙
11/08/2014
