Amanda Dash

According to our database, Amanda Dash authored at least 14 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Refining Naive Annotations with Limited Expert Guidance for Semantic Segmentation: A Case Study on Underwater Echograms.

Melissa Cote, Amanda Dash, Julek Chawarski, Alexandra Branzan Albu, Femina Senjaliya, Andrea Niemi

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

Single-Class Instance Segmentation for Vectorization of Line Drawings.

Rhythm Vohra, Amanda Dash, Alexandra Branzan Albu

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Deep Learning-Based Identification of Arctic Ocean Boundaries and Near-Surface Phenomena in Underwater Echograms.

Femina Senjaliya, Melissa Cote, Amanda Dash, Alexandra Branzan Albu, Andrea Niemi, Stéphane Gauthier, Julek Chawarski, Steve Pearce, Kaan Ersahin, Keath Borg

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Semantic segmentation of textured mosaics.

Melissa Cote, Amanda Dash, Alexandra Branzan Albu

EURASIP J. Image Video Process., December, 2023

Beyond Traditional Feedback Channels: Extracting Requirements-Relevant Feedback from TikTok and YouTube.

Manish Sihag, Ze Shi Li, Amanda Dash, Nowshin Nawar Arony, Kezia Devathasan, Neil A. Ernst, Alexandra Branzan Albu, Daniela E. Damian

CoRR, 2023

A Data-Driven Approach for Finding Requirements Relevant Feedback from TikTok and YouTube.

Manish Sihag, Ze Shi Li, Amanda Dash, Nowshin Nawar Arony, Kezia Devathasan, Neil A. Ernst, Alexandra Branzan Albu, Daniela E. Damian

Proceedings of the 31st IEEE International Requirements Engineering Conference, 2023

WEATHERGOV+: A Table Recognition and Summarization Dataset to Bridge the Gap Between Document Image Analysis and Natural Language Generation.

Amanda Dash, Melissa Cote, Alexandra Branzan Albu

Proceedings of the ACM Symposium on Document Engineering 2023, 2023

Detecting Underwater Discrete Scatterers in Echograms with Deep Learning-Based Semantic Segmentation.

Rhythm Vohra, Femina Senjaliya, Melissa Cote, Amanda Dash, Alexandra Branzan Albu, Julek Chawarski, Steve Pearce, Kaan Ersahin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Texture-Based Data Augmentation for Small Datasets.

Amanda Dash, Alexandra Branzan Albu

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2023

2022

Classification of handwritten annotations in mixed-media documents.

Amanda Dash, Alexandra Branzan Albu

Proceedings of the 19th Conference on Robots and Vision, 2022

2017

Counting Large Flocks of Birds Using Videos Acquired with Hand-Held Devices.

Amanda Dash, Alexandra Branzan Albu

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2017

A Domain Independent Approach to Video Summarization.

Amanda Dash, Alexandra Branzan Albu

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2017

2016

Look who is not talking: Assessing engagement levels in panel conversations.

Melissa Cote, Amanda Dash, Alexandra Branzan Albu

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Automatic Speaker Identification from Interpersonal Synchrony of Body Motion Behavioral Patterns in Multi-Person Videos.

Amanda Dash, Melissa Cote, Alexandra Branzan Albu

Proceedings of the 1st Workshop on Modeling INTERPERsonal SynchrONy And infLuence, 2015