5 citations · 10 across the 8 of their papers we have counts for
16 papers · 1 filter
A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation
Ronast Subedi, Rebati Raman Gaire, Sharib Ali +3
This paper presents a solution to the cross-domain adaptation problem for 2D surgical image segmentation, explicitly considering the privacy protection of distributed datasets belo…
Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments
Abhinav Joshi, Naman Gupta, Jinang Shah +3
A real-world application or setting involves interaction between different modalities (e.g., video, speech, text). In order to process the multimodal information automatically and…
Task-Aware Active Learning for Endoscopic Image Analysis
Shrawan Kumar Thapa, Pranav Poudel, Binod Bhattarai +1
Semantic segmentation of polyps and depth estimation are two important research problems in endoscopic image analysis. One of the main obstacles to conduct research on these resear…
Brand Label Albedo Extraction of eCommerce Products using Generative Adversarial Network
Suman Sapkota, Manish Juneja, Laurynas Keleras +2
In this paper we present our solution to extract albedo of branded labels for e-commerce products. To this end, we generate a large-scale photo-realistic synthetic data set for alb…
Visual Transformer for Task-aware Active Learning
Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim
Pool-based sampling in active learning (AL) represents a key framework for an-notating informative data when dealing with deep learning models. In this paper, we present a novel pi…
Label Geometry Aware Discriminator for Conditional Generative Networks
Suman Sapkota, Bidur Khanal, Binod Bhattarai +2
Multi-domain image-to-image translation with conditional Generative Adversarial Networks (GANs) can generate highly photo realistic images with desired target classes, yet these sy…