Home /
Research
Showing 703 - 708 / 904
Learning-based 3D Occupancy Prediction for Autonomous Navigation in Occluded Environments
LiziWang, HongkaiYe, QianhaoWang....
Published date-11/08/2020
AutonomousNavigation
In autonomous navigation of mobile robots, sensors suffer from massive occlusion in cluttered environments, leaving significant amount of space unknown during planning. In practice, treating the unknown space in optimistic …
Stochastic Attention Head Removal: A Simple and Effective Method for Improving Automatic Speech Recognition with Transformers
ShucongZhang, ErfanLoweimi, PeterBell....
Published date-11/08/2020
SpeechRecognition
Recently, Transformers have shown competitive automatic speech recognition (ASR) results. One key factor to the success of these models is the multi-head attention mechanism. However, we observed in trained models, …
Right on Time: Multi-Temporal Convolutions for Human Action Recognition in Videos
AlexandrosStergiou, RonaldPoppe....
Published date-11/08/2020
ActionRecognition, ActionRecognitionInVideos, ActionRecognitionInVideos, TemporalActionLocalization, TransferLearning
The variations in the temporal performance of human actions observed in videos present challenges for their extraction using fixed-sized convolution kernels in CNNs. We present an approach that is more …
Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations
ZijieHuang, YizhouSun, WeiWang....
Published date-11/08/2020
MotionCapture
Many real-world systems, such as moving planets, can be considered as multi-agent dynamic systems, where objects interact with each other and co-evolve along with the time. Such dynamics is usually …
Denoising Relation Extraction from Document-level Distant Supervision
ChaojunXiao, YuanYAO, RuobingXie....
Published date-11/08/2020
Denoising, RelationExtraction
Distant supervision (DS) has been widely used to generate auto-labeled data for sentence-level relation extraction (RE), which improves RE performance. However, the existing success of DS cannot be directly transferred …
Multimodal Trajectory Prediction via Topological Invariance for Navigation at Uncontrolled Intersections
JunhaRoh, ChristoforosMavrogiannis, RishabhMadan....
Published date-11/08/2020
TrajectoryPrediction
We focus on decentralized navigation among multiple non-communicating rational agents at \emph{uncontrolled} intersections, i.e., street intersections without traffic signs or signals. Avoiding collisions in such domains relies on the ability …