Search Results for author:
Found 7 papers, 2 papers with code
Detecting Deep-Fake Videos from Appearance and Behavior
Synthetically-generated audios and videos -- so-called deep fakes -- continue to capture the imagination of the computer-graphics and computer-vision communities.
3D Object Recognition with Ensemble Learning --- A Study of Point Cloud-Based Deep Learning Models
In this study, we present an analysis of model-based ensemble learning for 3D point-cloud object classification and detection.
BinGAN: Learning Compact Binary Descriptors with a Regularized GAN
In this paper, we propose a novel regularization method for Generative Adversarial Networks, which allows the model to learn discriminative yet compact binary representations of image patches (image descriptors).
Convolutional Models for Joint Object Categorization and Pose Estimation
In the task of Object Recognition, there exists a dichotomy between the categorization of objects and estimating object pose, where the former necessitates a view-invariant representation, while the latter requires a representation capable of capturing pose information over different categories of objects.
Digging Deep into the layers of CNNs: In Search of How CNNs Achieve View Invariance
How does fine-tuning of a pre-trained CNN on a multi-view dataset affect the representation at each layer of the network?
Factorization of View-Object Manifolds for Joint Object Recognition and Pose Estimation
Due to large variations in shape, appearance, and viewing conditions, object recognition is a key precursory challenge in the fields of object manipulation and robotic/AI visual reasoning in general.
Measuring Atmospheric Scattering from Digital Images of Urban Scenery using Temporal Polarization-Based Vision
In doing so, we also present a method of recovering an accurate depthmap of the scene and recovering the scene without the visual effects of haze.
