activity
20162023
most citedVisual Transformer for Task-aware Active Learning

5 citations · 14 across the 13 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.CV2020

Active Learning for Bayesian 3D Hand Pose Estimation

Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim

We propose a Bayesian approximation to a deep learning architecture for 3D hand pose estimation. Through this framework, we explore and analyse the two types of uncertainties that…

cs.CV2020

3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning

Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim

Manipulating facial expressions is a challenging task due to fine-grained shape changes produced by facial muscles and the lack of input-output pairs for supervised learning. Unlik…

cs.CV2020

Sequential Graph Convolutional Network for Active Learning

Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim

We propose a novel pool-based Active Learning framework constructed on a sequential Graph Convolution Network (GCN). Each image's feature from a pool of data represents a node in t…

cs.CV2020

MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network

Jiaze Sun, Binod Bhattarai, Tae-Kyun Kim

We present a novel self-supervised learning approach for conditional generative adversarial networks (GANs) under a semi-supervised setting. Unlike prior self-supervised approaches…

cs.CV2020

Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images

Sharib Ali, Binod Bhattarai, Tae-Kyun Kim +1

Endoscopy is a widely used imaging modality to diagnose and treat diseases in hollow organs as for example the gastrointestinal tract, the kidney and the liver. However, due to var…

cs.CV2020

Inducing Optimal Attribute Representations for Conditional GANs

Binod Bhattarai, Tae-Kyun Kim

Conditional GANs are widely used in translating an image from one category to another. Meaningful conditions to GANs provide greater flexibility and control over the nature of the…