Addressing the rising concerns of privacy and security, domain adaptatio...
Domain adaptation (DA) strives to mitigate the domain gap between the so...
Precise 6D pose estimation of rigid objects from RGB images is a critica...
We propose BAPose, a novel bottom-up approach that achieves state-of-the...
Recovering badly damaged face images is a useful yet challenging task,
e...
Linear Discriminant Analysis (LDA) is commonly used for dimensionality
r...
Siamese deep-network trackers have received significant attention in rec...
In recent years, deep learning-based visual object trackers have achieve...
Synthetic Aperture Radar (SAR) imagery has diverse applications in land ...
One-sided facial paralysis causes uneven movements of facial muscles on ...
Domain Adaptation (DA) techniques are important for overcoming the domai...
We propose OmniPose, a single-pass, end-to-end trainable framework, that...
Vehicle re-identification is an important computer vision task where the...
We propose UniPose, a unified framework for human pose estimation, based...
We propose a new efficient architecture for semantic segmentation, based...
We present Poly-GAN, a novel conditional GAN architecture that is motiva...
We propose a data-driven approach for deep convolutional neural network
...
Image captioning has demonstrated models that are capable of generating
...
We propose a novel technique for training deep networks with the objecti...
Automating the detection of anomalous events within long video sequences...