Binod Bhattarai

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...

0 Bidur Khanal, et al. ∙

research

∙ 06/22/2023

Neural Network Pruning for Real-time Polyp Segmentation

Computer-assisted treatment has emerged as a viable application of medic...

0 Suman Sapkota, et al. ∙

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...

7 Bidur Khanal, et al. ∙

research

∙ 05/28/2023

T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for OOD Detection

Neural networks are notorious for being overconfident predictors, posing...

6 Sudarshan Regmi, et al. ∙

research

∙ 05/10/2023

iEdit: Localised Text-guided Image Editing with Weak Supervision

Diffusion models (DMs) can generate realistic images with text guidance ...

0 Rumeysa Bodur, et al. ∙

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...

0 Jingxuan Kang, et al. ∙

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...

1 Chinedu Innocent Nwoye, et al. ∙

research

∙ 01/04/2023

MoBYv2AL: Self-supervised Active Learning for Image Classification

Active learning(AL) has recently gained popularity for deep learning(DL)...

17 Razvan Caramalau, et al. ∙

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...

7 Abhinav Joshi, et al. ∙

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...

5 Suman Sapkota, et al. ∙

research

∙ 04/11/2022

Bimodal Camera Pose Prediction for Endoscopy

Deducing the 3D structure of endoscopic scenes from images remains extre...

30 Anita Rau, et al. ∙

research

∙ 04/07/2022

Task-Aware Active Learning for Endoscopic Image Analysis

Semantic segmentation of polyps and depth estimation are two important r...

6 Shrawan Kumar Thapa, et al. ∙

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...

6 Binod Bhattarai, et al. ∙

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...

3 Rumeysa Bodur, et al. ∙

research

∙ 11/17/2021

SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency

Semantically guided conditional Generative Adversarial Networks (cGANs) ...

1 Jiaze Sun, et al. ∙

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...

1 Suman Sapkota, et al. ∙

research

∙ 06/16/2021

Input Invex Neural Network

In this paper, we present a novel method to constrain invexity on Neural...

14 Suman Sapkota, et al. ∙

research

∙ 06/07/2021

Visual Transformer for Task-aware Active Learning

Pool-based sampling in active learning (AL) represents a key framework f...

16 Razvan Caramalau, et al. ∙

research

∙ 05/12/2021

Label Geometry Aware Discriminator for Conditional Generative Networks

Multi-domain image-to-image translation with conditional Generative Adve...

23 Suman Sapkota, et al. ∙

research

∙ 10/01/2020

Active Learning for Bayesian 3D Hand Pose Estimation

We propose a Bayesian approximation to a deep learning architecture for ...

59 Razvan Caramalau, et al. ∙

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...

1 Rumeysa Bodur, et al. ∙

research

∙ 06/18/2020

Sequential Graph Convolutional Network for Active Learning

We propose a novel generic sequential Graph Convolution Network (GCN) tr...

26 Razvan Caramalau, et al. ∙

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...

17 Jiaze Sun, et al. ∙

research

∙ 03/13/2020

Inducing Optimal Attribute Representations for Conditional GANs

Conditional GANs are widely used in translating an image from one catego...

6 Binod Bhattarai, et al. ∙

research

∙ 09/10/2019

Sampling Strategies for GAN Synthetic Data

Generative Adversarial Networks (GANs) have been used widely to generate...

9 Binod Bhattarai, et al. ∙

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...

1 Binod Bhattarai, et al. ∙

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...

0 Baris Gecer, et al. ∙

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...

0 Binod Bhattarai, et al. ∙

research

∙ 04/11/2016

CP-mtML: Coupled Projection multi-task Metric Learning for Large Scale Face Retrieval

We propose a novel Coupled Projection multi-task Metric Learning (CP-mtM...

0 Binod Bhattarai, et al. ∙

Binod Bhattarai

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