Search Results for author:
Found 12 papers, 5 papers with code
DeepCaps: Going Deeper with Capsule Networks
Capsule Network is a promising concept in deep learning, yet its true potential is not fully realized thus far, providing sub-par performance on several key benchmark datasets with complex data.
TextCaps : Handwritten Character Recognition with Very Small Datasets
Our system is useful in character recognition for localized languages that lack much labeled training data and even in other related more general contexts such as object recognition.
Ranked #4 on
Image Classification
on EMNIST-Letters
SmartEmbed: A Tool for Clone and Bug Detection in Smart Contracts through Structural Code Embedding
In addition to the uses by individual developers, SmartEmbed can also be applied to studies of smart contracts in a large scale.
Software Engineering
PatchGame: Learning to Signal Mid-level Patches in Referential Games
We study a referential game (a type of signaling game) where two agents communicate with each other via a discrete bottleneck to achieve a common goal.
TimeCaps: Capturing Time Series Data With Capsule Networks
Capsule networks excel in understanding spatial relationships in 2D data for vision related tasks.
Combined Static and Motion Features for Deep-Networks Based Activity Recognition in Videos
We propose three schemas for combining static and motion components: based on a variance ratio, principal components, and Cholesky decomposition.
TreeCaps: Tree-Structured Capsule Networks for Program Source Code Processing
Program comprehension is a fundamental task in software development and maintenance processes.
Device-Free User Authentication, Activity Classification and Tracking using Passive Wi-Fi Sensing: A Deep Learning Based Approach
Privacy issues related to video camera feeds have led to a growing need for suitable alternatives that provide functionalities such as user authentication, activity classification and tracking in a noninvasive manner.
FlowCaps: Optical Flow Estimation with Capsule Networks For Action Recognition
Capsule networks (CapsNets) have recently shown promise to excel in most computer vision tasks, especially pertaining to scene understanding.
PointCaps: Raw Point Cloud Processing using Capsule Networks with Euclidean Distance Routing
We address these limitations in existing capsule network based approaches by proposing PointCaps, a novel convolutional capsule architecture with parameter sharing.
FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from Sparse Views
We present FlexNeRF, a method for photorealistic freeviewpoint rendering of humans in motion from monocular videos.
Chop & Learn: Recognizing and Generating Object-State Compositions
Recognizing and generating object-state compositions has been a challenging task, especially when generalizing to unseen compositions.
