We tackle the task of synthesizing novel views of an object given a few ...
Progress in GANs has enabled the generation of high-resolution photoreal...
In this paper, we describe an approach for representation learning of au...
This report describes the system used for detecting COVID-19 positives u...
Powerful priors allow us to perform inference with insufficient informat...
Recent algorithms for image manipulation detection almost exclusively us...
This paper presents primarily two Euclidean embeddings of the quotient s...
A wide variety of methods have been developed to enable lifelong learnin...
Time masking has become a de facto augmentation technique for speech and...
Normalizing flows provide an elegant method for obtaining tractable dens...
We introduce HoVer (HOppy VERification), a dataset for many-hop evidence...
High fidelity representation of shapes with arbitrary topology is an
imp...
Contour shape alignment is a fundamental but challenging problem in comp...
Modern computer vision (CV) is often based on convolutional neural netwo...
Recent deep learning methods for object detection rely on a large amount...
The exploding cost and time needed for data labeling and model training ...
In this paper, we introduce a new optimization approach to Entity Resolu...
We present an approach for pixel-level future prediction given an input ...
We consider an information theoretic approach to address the problem of
...
Detection and localization of image manipulations like splices are gaini...
Image-to-image translation aims to learn the mapping between two visual
...
We tackle the problem of graph partitioning for image segmentation using...
Many convolutional neural networks (CNNs) have a feed-forward structure....
Real images often lie on a union of disjoint manifolds rather than one
g...
Recent advances in neural network based acoustic modelling have shown
si...
Generative models that learn disentangled representations for different
...
We present an unsupervised representation learning approach using videos...