48 citations · 146 across the 13 of their papers we have counts for
5 papers · 1 filter
Watch and Learn: Mapping Language and Noisy Real-world Videos with Self-supervision
Yujie Zhong, Linhai Xie, Sen Wang +2
In this paper, we teach machines to understand visuals and natural language by learning the mapping between sentences and noisy video snippets without explicit annotations. Firstly…
RADIATE: A Radar Dataset for Automotive Perception in Bad Weather
Marcel Sheeny, Emanuele De Pellegrin, Saptarshi Mukherjee +3
Datasets for autonomous cars are essential for the development and benchmarking of perception systems. However, most existing datasets are captured with camera and LiDAR sensors in…
Multi-Task Reinforcement Learning based Mobile Manipulation Control for Dynamic Object Tracking and Grasping
Cong Wang, Qifeng Zhang, Qiyan Tian +6
Agile control of mobile manipulator is challenging because of the high complexity coupled by the robotic system and the unstructured working environment. Tracking and grasping a dy…
RadarSLAM: Radar based Large-Scale SLAM in All Weathers
Ziyang Hong, Yvan Petillot, Sen Wang
Numerous Simultaneous Localization and Mapping (SLAM) algorithms have been presented in last decade using different sensor modalities. However, robust SLAM in extreme weather condi…
A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification
Mateusz Ochal, Jose Vazquez, Yvan Petillot +1
Deep convolutional neural networks generally perform well in underwater object recognition tasks on both optical and sonar images. Many such methods require hundreds, if not thousa…