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Privacy-Preserving Pose Estimation for Human-Robot Interaction
YouyaXia, YifanTang, YuhanHu....
Published date-11/14/2020
Humanrobotinteraction, ImageEnhancement, PoseEstimation
Pose estimation is an important technique for nonverbal human-robot interaction. That said, the presence of a camera in a person's space raises privacy concerns and could lead to distrust of …
Solving Physics Puzzles by Reasoning about Paths
AugustinHarter, AndrewMelnik, GauravKumar....
Published date-11/14/2020
We propose a new deep learning model for goal-driven tasks that require intuitive physical reasoning and intervention in the scene to achieve a desired end goal. Its modular structure is …
Deep Spatial Learning with Molecular Vibration
ZiyangZhang, YingtaoLuo....
Published date-11/14/2020
Machine learning over-fitting caused by data scarcity greatly limits the application of machine learning for molecules. Due to manufacturing processes difference, big data is not always rendered available through computational …
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation
XingyuLin, YuFeiWang, JakeOlkin....
Published date-11/14/2020
DeformableObjectManipulation, OpenAIGym
Manipulating deformable objects has long been a challenge in robotics due to its high dimensional state representation and complex dynamics. Recent success in deep reinforcement learning provides a promising direction …
DebateSum: A large-scale argument mining and summarization dataset
AllenRoush, ArvindBalaji....
Published date-11/14/2020
AbstractiveTextSummarization, ArgumentMining, DocumentSummarization, ExtractiveDocumentSummarization, InformationRetrieval, Query-BasedExtractiveSummarization, TextSummarization
Prior work in Argument Mining frequently alludes to its potential applications in automatic debating systems. Despite this focus, almost no datasets or models exist which apply natural language processing techniques …
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty
SoufianeBelharbi, JérômeRony, JoseDolz....
Published date-11/14/2020
Weakly supervised learning (WSL) has recently triggered substantial interest as it mitigates the lack of pixel-wise annotations, while enabling interpretable models. Given global image labels, WSL methods yield pixel-level predictions …