Adriana Kovashka

Orcid: 0000-0003-1901-9660

Affiliations:
  • University of Pittsburgh, PA, USA


According to our database1, Adriana Kovashka authored at least 83 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Benchmarking VLMs' Reasoning About Persuasive Atypical Images.
CoRR, 2024

Enhancing Weakly-Supervised Object Detection on Static Images through (Hallucinated) Motion.
CoRR, 2024

Integrating Audio Narrations to Strengthen Domain Generalization in Multimodal First-Person Action Recognition.
CoRR, 2024

What metrics of participation balance predict outcomes of collaborative learning with a robot?
CoRR, 2024

Boosting Weakly Supervised Object Detection using Fusion and Priors from Hallucinated Depth.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Investigating the Role of Attribute Context in Vision-Language Models for Object Recognition and Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Synonym relations affect object detection learned on vision-language data.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual Retrieval.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Strategies to Leverage Foundational Model Knowledge in Object Affordance Grounding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Image-caption difficulty for efficient weakly-supervised object detection from in-the-wild data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Using Language-Aligned Gesture Embeddings for Understanding Gestures Accompanying Math Terms.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Learning to Overcome Noise in Weak Caption Supervision for Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Enhancing the Role of Context in Region-Word Alignment for Object Detection.
CoRR, 2023

Weakly-Supervised HOI Detection from Interaction Labels Only and Language/Vision-Language Priors.
CoRR, 2023

How to Practice VQA on a Resource-limited Target Domain.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Complementary Cues from Audio Help Combat Noise in Weakly-Supervised Object Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Towards Shape-regularized Learning for Mitigating Texture Bias in CNNs.
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

Hypernymization of named entity-rich captions for grounding-based multi-modal pretraining.
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

Improving language-supervised object detection with linguistic structure analysis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature Alignment.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

Decoding Symbolism in Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Contrastive View Design Strategies to Enhance Robustness to Domain Shifts in Downstream Object Detection.
CoRR, 2022

Symbolic image detection using scene and knowledge graphs.
CoRR, 2022

Visual Persuasion in COVID-19 Social Media Content: A Multi-Modal Characterization.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Comparison of Lexical Alignment with a Teachable Robot in Human-Robot and Human-Human-Robot Interactions.
Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

Characterizing User Susceptibility to COVID-19 Misinformation on Twitter.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Building a Reinforcement Learning Environment from Limited Data to Optimize Teachable Robot Interventions.
Proceedings of the 15th International Conference on Educational Data Mining, 2022

Weakly-Supervised Action Detection Guided by Audio Narration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Doubling down: sparse grounding with an additional, almost-matching caption for detection-oriented multimodal pretraining.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

The Role of Shape for Domain Generalization on Sparsely-Textured Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Emphasizing Complementary Samples for Non-literal Cross-modal Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

It Takes Two: Examining the Effects of Collaborative Teaching of a Robot Learner.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

2021
Interpreting the Rhetoric of Visual Advertisements.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Predicting Visual Political Bias Using Webly Supervised Data and an Auxiliary Task.
Int. J. Comput. Vis., 2021

Image retrieval with mixed initiative and multimodal feedback.
Comput. Vis. Image Underst., 2021

Exploring Corruption Robustness: Inductive Biases in Vision Transformers and MLP-Mixers.
CoRR, 2021

Breaking Shortcuts by Masking for Robust Visual Reasoning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Detecting Persuasive Atypicality by Modeling Contextual Compatibility.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Domain-Robust VQA With Diverse Datasets and Methods but No Target Labels.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

BasisNet: Two-Stage Model Synthesis for Efficient Inference.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Linguistic Structures As Weak Supervision for Visual Scene Graph Generation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

A Case Study of the Shortcut Effects in Visual Commonsense Reasoning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learning to Transfer Visual Effects from Videos to Images.
CoRR, 2020

Context for Object Detection via Lightweight Global and Mid-level Representations.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Preserving Semantic Neighborhoods for Robust Cross-Modal Retrieval.
Proceedings of the Computer Vision - ECCV 2020, 2020

Domain Generalization Using Shape Representation.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Classifying Nuclei Shape Heterogeneity in Breast Tumors with Skeletons.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Story Completion with Explicit Modeling of Commonsense Knowledge.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Syntharch: Interactive Image Search with Attribute-Conditioned Synthesis.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Measuring Effectiveness of Video Advertisements.
CoRR, 2019

Predicting the Politics of an Image Using Webly Supervised Data.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Cross-Modality Personalization for Retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Learning to discover and localize visual objects with open vocabulary.
CoRR, 2018

ADVISE: Symbolism and External Knowledge for Decoding Advertisements.
Proceedings of the Computer Vision - ECCV 2018, 2018

Equal But Not The Same: Understanding the Implicit Relationship Between Persuasive Images and Text.
Proceedings of the British Machine Vision Conference 2018, 2018

Story Understanding in Video Advertisements.
Proceedings of the British Machine Vision Conference 2018, 2018

Persuasive Faces: Generating Faces in Advertisements.
Proceedings of the British Machine Vision Conference 2018, 2018

Artistic Object Recognition by Unsupervised Style Adaptation.
Proceedings of the Computer Vision - ACCV 2018, 2018

Asking Friendly Strangers: Non-Semantic Attribute Transfer.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Learning Attributes from Human Gaze.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Detecting Sexually Provocative Images.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Automatic Understanding of Image and Video Advertisements.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Confidence and Diversity for Active Selection of Feedback in Image Retrieval.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Crowdsourcing in Computer Vision.
Found. Trends Comput. Graph. Vis., 2016

Adapting attributes by selecting features similar across domains.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

A Visual Attention Algorithm Designed for Coupled Oscillator Acceleration.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Seeing Behind the Camera: Identifying the Authorship of a Photograph.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Inferring Visual Persuasion via Body Language, Setting, and Deep Features.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
WhittleSearch: Interactive Image Search with Relative Attribute Feedback.
Int. J. Comput. Vis., 2015

Discovering Attribute Shades of Meaning with the Crowd.
Int. J. Comput. Vis., 2015

Who's Behind the Camera? Identifying the Authorship of a Photograph.
CoRR, 2015

2013
Attribute Adaptation for Personalized Image Search.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Attribute Pivots for Guiding Relevance Feedback in Image Search.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
WhittleSearch: Image search with relative attribute feedback.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Relative Attributes for Enhanced Human-Machine Communication.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Actively selecting annotations among objects and attributes.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Learning a hierarchy of discriminative space-time neighborhood features for human action recognition.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Authorship Attribution Using Probabilistic Context-Free Grammars.
Proceedings of the ACL 2010, 2010


  Loading...