74 citations · 171 across the 29 of their papers we have counts for
21 papers · 1 filter
SmoothOperator: Enhancing Representations for Fine-grained Open-set Recognition via Modulated Label Smoothing
Thiru Thillai Nadarasar Bahavan, Yu Xia, Sachith Seneviratne +1
Open Set Recognition (OSR) aims to enable models to accurately classify known classes while rejecting samples from unseen classes. A key challenge in OSR lies in the inability to m…
FedLAS: Feature-Modulated Bidirectional Label Smoothing for Neural Network Calibration
Thiru Thillai Nadarasar Bahavan, Sachith Seneviratne, Saman Halgamuge
Deep Neural Network (DNN) classifiers suffer from poor calibration when their softmax outputs (predictive confidence) deviate from the empirical likelihoods. This manifests itself…
Parameter-efficient Prompt Tuning and Hierarchical Textual Guidance for Few-shot Whole Slide Image Classification
Jayanie Bogahawatte, Sachith Seneviratne, Saman Halgamuge
Whole Slide Images (WSIs) are giga-pixel in scale and are typically partitioned into small instances in WSI classification pipelines for computational feasibility. However, obtaini…
MSRAMIE: Multimodal Structured Reasoning Agent for Multi-instruction Image Editing
Zhaoyuan Qiu, Ken Chen, Xiangwei Wang +3
Existing instruction-based image editing models perform well with simple, single-step instructions but degrade in realistic scenarios that involve multiple, lengthy, and interdepen…
Flood-LDM: Generalizable Latent Diffusion Models for rapid and accurate zero-shot High-Resolution Flood Mapping
Sun Han Neo, Sachith Seneviratne, Herath Mudiyanselage Viraj Vidura Herath +3
Flood prediction is critical for emergency planning and response to mitigate human and economic losses. Traditional physics-based hydrodynamic models generate high-resolution flood…
Beyond Deepfake vs Real: Facial Deepfake Detection in the Open-Set Paradigm
Nadarasar Bahavan, Sachith Seneviratne, Sanjay Saha +3
Facial forgery methods such as deepfakes can be misused for identity manipulation and spreading misinformation. They have evolved alongside advancements in generative AI, leading t…
SphOR: A Representation Learning Perspective on Open-set Recognition for Identifying Unknown Classes in Deep Learning Models
Nadarasar Bahavan, Sachith Seneviratne, Saman Halgamuge
The reliance on Deep Neural Network (DNN)-based classifiers in safety-critical and real-world applications necessitates Open-Set Recognition (OSR). OSR enables the identification o…
TT-MPD: Test Time Model Pruning and Distillation
Haihang Wu, Wei Wang, Tamasha Malepathirana +3
Pruning can be an effective method of compressing large pre-trained models for inference speed acceleration. Previous pruning approaches rely on access to the original training dat…
AniFaceDiff: Animating Stylized Avatars via Parametric Conditioned Diffusion Models
Ken Chen, Sachith Seneviratne, Wei Wang +7
Animating stylized avatars with dynamic poses and expressions has attracted increasing attention for its broad range of applications. Previous research has made significant progres…
Scalable Label-efficient Footpath Network Generation Using Remote Sensing Data and Self-supervised Learning
Xinye Wanyan, Sachith Seneviratne, Kerry Nice +4
Footpath mapping, modeling, and analysis can provide important geospatial insights to many fields of study, including transport, health, environment and urban planning. The availab…
Semantic Segmentation using Vision Transformers: A survey
Hans Thisanke, Chamli Deshan, Kavindu Chamith +3
Semantic segmentation has a broad range of applications in a variety of domains including land coverage analysis, autonomous driving, and medical image analysis. Convolutional neur…
Undercover Deepfakes: Detecting Fake Segments in Videos
Sanjay Saha, Rashindrie Perera, Sachith Seneviratne +5
The recent renaissance in generative models, driven primarily by the advent of diffusion models and iterative improvement in GAN methods, has enabled many creative applications. Ho…
FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning
Shuchang Shen, Sachith Seneviratne, Xinye Wanyan +1
In recent decades, wildfires, as widespread and extremely destructive natural disasters, have caused tremendous property losses and fatalities, as well as extensive damage to fores…
Extending global-local view alignment for self-supervised learning with remote sensing imagery
Xinye Wanyan, Sachith Seneviratne, Shuchang Shen +1
Since large number of high-quality remote sensing images are readily accessible, exploiting the corpus of images with less manual annotation draws increasing attention. Self-superv…
IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C)
Giuseppe Stragapede, Ruben Vera-Rodriguez, Ruben Tolosana +11
This paper describes the experimental framework and results of the IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C). The aim of MobileB2C is benchmarking mobile user…
Urban feature analysis from aerial remote sensing imagery using self-supervised and semi-supervised computer vision
Sachith Seneviratne, Jasper S. Wijnands, Kerry Nice +8
Analysis of overhead imagery using computer vision is a problem that has received considerable attention in academic literature. Most techniques that operate in this space are both…
DALLE-URBAN: Capturing the urban design expertise of large text to image transformers
Sachith Seneviratne, Damith Senanayake, Sanka Rasnayaka +2
Automatically converting text descriptions into images using transformer architectures has recently received considerable attention. Such advances have implications for many applie…
Self-Supervision, Remote Sensing and Abstraction: Representation Learning Across 3 Million Locations
Sachith Seneviratne, Kerry A. Nice, Jasper S. Wijnands +2
Self-supervision based deep learning classification approaches have received considerable attention in academic literature. However, the performance of such methods on remote sensi…
Does a Face Mask Protect my Privacy?: Deep Learning to Predict Protected Attributes from Masked Face Images
Sachith Seneviratne, Nuran Kasthuriarachchi, Sanka Rasnayaka +2
Contactless and efficient systems are implemented rapidly to advocate preventive methods in the fight against the COVID-19 pandemic. Despite the positive benefits of such systems,…
MFR 2021: Masked Face Recognition Competition
Fadi Boutros, Naser Damer, Jan Niklas Kolf +32
This paper presents a summary of the Masked Face Recognition Competitions (MFR) held within the 2021 International Joint Conference on Biometrics (IJCB 2021). The competition attra…
Multi-Dataset Benchmarks for Masked Identification using Contrastive Representation Learning
Sachith Seneviratne, Nuran Kasthuriaarachchi, Sanka Rasnayaka
The COVID-19 pandemic has drastically changed accepted norms globally. Within the past year, masks have been used as a public health response to limit the spread of the virus. This…