research
∙
08/08/2023
Improving Medical Image Classification in Noisy Labels Using Only Self-supervised Pretraining
Noisy labels hurt deep learning-based supervised image classification pe...
share
research
∙
06/22/2023
Neural Network Pruning for Real-time Polyp Segmentation
Computer-assisted treatment has emerged as a viable application of medic...
research
∙
06/21/2023
M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis Tasks
Acquiring properly annotated data is expensive in the medical field as i...
research
∙
05/28/2023
T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for OOD Detection
Neural networks are notorious for being overconfident predictors, posing...
research
∙
05/10/2023
iEdit: Localised Text-guided Image Editing with Weak Supervision
Diffusion models (DMs) can generate realistic images with text guidance ...
research
∙
04/16/2023
Translating Simulation Images to X-ray Images via Multi-Scale Semantic Matching
Endovascular intervention training is increasingly being conducted in vi...
research
∙
02/13/2023
CholecTriplet2022: Show me a tool and tell me the triplet – an endoscopic vision challenge for surgical action triplet detection
Formalizing surgical activities as triplets of the used instruments, act...
research
∙
01/04/2023
MoBYv2AL: Self-supervised Active Learning for Image Classification
Active learning(AL) has recently gained popularity for deep learning(DL)...
research
∙
11/07/2022
Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments
A real-world application or setting involves interaction between differe...
research
∙
07/10/2022
Noisy Heuristics NAS: A Network Morphism based Neural Architecture Search using Heuristics
Network Morphism based Neural Architecture Search (NAS) is one of the mo...
research
∙
04/11/2022
Bimodal Camera Pose Prediction for Endoscopy
Deducing the 3D structure of endoscopic scenes from images remains extre...
research
∙
04/07/2022
Task-Aware Active Learning for Endoscopic Image Analysis
Semantic segmentation of polyps and depth estimation are two important r...
research
∙
04/02/2022
Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic Segmentation
We present our novel deep multi-task learning method for medical image s...
research
∙
12/08/2021
A Unified Architecture of Semantic Segmentation and Hierarchical Generative Adversarial Networks for Expression Manipulation
Editing facial expressions by only changing what we want is a long-stand...
research
∙
11/17/2021
SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency
Semantically guided conditional Generative Adversarial Networks (cGANs) ...
research
∙
09/07/2021
Brand Label Albedo Extraction of eCommerce Products using Generative Adversarial Network
In this paper we present our solution to extract albedo of branded label...
research
∙
06/16/2021
Input Invex Neural Network
In this paper, we present a novel method to constrain invexity on Neural...
research
∙
06/07/2021
Visual Transformer for Task-aware Active Learning
Pool-based sampling in active learning (AL) represents a key framework f...
research
∙
05/12/2021
Label Geometry Aware Discriminator for Conditional Generative Networks
Multi-domain image-to-image translation with conditional Generative Adve...
research
∙
10/01/2020
Active Learning for Bayesian 3D Hand Pose Estimation
We propose a Bayesian approximation to a deep learning architecture for ...
research
∙
09/30/2020
3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning
Manipulating facial expressions is a challenging task due to fine-graine...
research
∙
06/18/2020
Sequential Graph Convolutional Network for Active Learning
We propose a novel generic sequential Graph Convolution Network (GCN) tr...
research
∙
06/11/2020
MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network
We propose a novel self-supervised semi-supervised learning approach for...
research
∙
03/13/2020
Inducing Optimal Attribute Representations for Conditional GANs
Conditional GANs are widely used in translating an image from one catego...
research
∙
09/10/2019
Sampling Strategies for GAN Synthetic Data
Generative Adversarial Networks (GANs) have been used widely to generate...
research
∙
07/15/2019
AugLabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification
Augmenting data in image space (eg. flipping, cropping etc) and activati...
research
∙
04/10/2018
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
We propose a novel end-to-end semi-supervised adversarial framework to g...
research
∙
11/01/2016
Deep fusion of visual signatures for client-server facial analysis
Facial analysis is a key technology for enabling human-machine interacti...
research
∙
04/11/2016
