Image segmentation plays an essential role in nuclei image analysis.
Rec...
Intuitive physics is pivotal for human understanding of the physical wor...
Existing methods for reconstructing interactive scenes primarily focus o...
Off-policy Learning to Rank (LTR) aims to optimize a ranker from data
co...
Geocoding is the task of converting location mentions in text into struc...
Languages models have been successfully applied to a variety of reasonin...
Unsupervised/self-supervised graph neural networks (GNN) are vulnerable ...
In this work, we present a reconfigurable data glove design to capture
d...
We devise a 3D scene graph representation, contact graph+ (cg+), for
eff...
In order to support the study of recent advances in recommender systems,...
Current answer sentence selection (AS2) applied in open-domain question
...
Recent work has shown that an answer verification step introduced in
Tra...
Graph neural networks (GNNs) learn node representations by passing and
a...
Recent years have witnessed the proliferation of Low-power Wide Area Net...
We construct a Virtual Kinematic Chain (VKC) that readily consolidates t...
This paper studies joint models for selecting correct answer sentences a...
In this paper, we rethink the problem of scene reconstruction from an
em...
We propose a general agent population learning system, and on this basis...
We design and develop a new shared Augmented Reality (AR) workspace for
...
We present a congestion-aware routing solution for indoor evacuation, wh...
Named entity recognition identifies common classes of entities in text, ...
Deep metric learning is often used to learn an embedding function that
c...
There has been significant recent progress on algorithms for approximati...
We consider the Shallow-Light Steiner Network problem from a fixed-param...