Noisy labels hurt deep learning-based supervised image classification
pe...
Computer-assisted treatment has emerged as a viable application of medic...
Acquiring properly annotated data is expensive in the medical field as i...
Neural networks are notorious for being overconfident predictors, posing...
Diffusion models (DMs) can generate realistic images with text guidance ...
Endovascular intervention training is increasingly being conducted in vi...
Formalizing surgical activities as triplets of the used instruments, act...
Active learning(AL) has recently gained popularity for deep learning(DL)...
A real-world application or setting involves interaction between differe...
Network Morphism based Neural Architecture Search (NAS) is one of the mo...
Deducing the 3D structure of endoscopic scenes from images remains extre...
Semantic segmentation of polyps and depth estimation are two important
r...
We present our novel deep multi-task learning method for medical image
s...
Editing facial expressions by only changing what we want is a long-stand...
Semantically guided conditional Generative Adversarial Networks (cGANs) ...
In this paper we present our solution to extract albedo of branded label...
In this paper, we present a novel method to constrain invexity on Neural...
Pool-based sampling in active learning (AL) represents a key framework f...
Multi-domain image-to-image translation with conditional Generative
Adve...
We propose a Bayesian approximation to a deep learning architecture for ...
Manipulating facial expressions is a challenging task due to fine-graine...
We propose a novel generic sequential Graph Convolution Network (GCN)
tr...
We propose a novel self-supervised semi-supervised learning approach for...
Conditional GANs are widely used in translating an image from one catego...
Generative Adversarial Networks (GANs) have been used widely to generate...
Augmenting data in image space (eg. flipping, cropping etc) and activati...
We propose a novel end-to-end semi-supervised adversarial framework to
g...
Facial analysis is a key technology for enabling human-machine interacti...
We propose a novel Coupled Projection multi-task Metric Learning (CP-mtM...