This paper proposes a data-efficient detection method for deep neural
ne...
Discriminating the traversability of terrains is a crucial task for
auto...
For autonomous driving, traversability analysis is one of the most basic...
The social robot navigation is an open and challenging problem. In exist...
Embedding based retrieval has seen its usage in a variety of search
appl...
This paper proposes an easy-to-compute upper bound for the overlap index...
We propose a framework in which multiple entities collaborate to build a...
Modeling the evolution of user preference is essential in recommender
sy...
Accurate segmentation of Anatomical brain Barriers to Cancer spread (ABC...
Most IoT systems involve IoT devices, communication protocols, remote cl...
The ability of a dialog system to express consistent language style duri...
For better user satisfaction and business effectiveness, more and more
a...
The pre-training models such as BERT have achieved great results in vari...
Deep learning networks have shown promising performance for accurate obj...
This paper proposes a new defense against neural network backdooring att...
Neural language models are often trained with maximum likelihood estimat...
Internet of Things (IoT) has become the most promising technology for se...
As a massive number of the Internet of Things (IoT) devices are deployed...
3D moving object detection is one of the most critical tasks in dynamic ...
As the wide adoption of intelligent chatbot in human daily life, user de...
The conventional high-level sensing tasks such as image classification
r...
LIDAR is one of the most important sensors for Unmanned Ground Vehicles
...
This paper presents Thinkey, an efficient, secure, infinitely scalable a...
Variational autoencoders (VAEs) with an auto-regressive decoder have bee...
We develop a framework for obtaining polynomial time approximation schem...
Mobile applications (apps) often transmit sensitive data through network...