Authorship Attribution Using Probabilistic Context-Free Grammars. - Sindhu Raghavan; Adriana Kovashka; Raymond J. Mooney (ACL (2), 2010)

Learning a hierarchy of discriminative space-time neighborhood features for human action recognition. - Adriana Kovashka; Kristen Grauman (CVPR, 2010)

Actively selecting annotations among objects and attributes. - Adriana Kovashka; Sudheendra Vijayanarasimhan; Kristen Grauman (ICCV, 2011)

Relative Attributes for Enhanced Human-Machine Communication. - Devi Parikh; Adriana Kovashka; Amar Parkash; Kristen Grauman (AAAI, 2012)

WhittleSearch: Image search with relative attribute feedback. - Adriana Kovashka; Devi Parikh; Kristen Grauman (CVPR, 2012)

Attribute Pivots for Guiding Relevance Feedback in Image Search. - Adriana Kovashka; Kristen Grauman (ICCV, 2013)

Attribute Adaptation for Personalized Image Search. - Adriana Kovashka; Kristen Grauman (ICCV, 2013)

Who's Behind the Camera? Identifying the Authorship of a Photograph. - Christopher Thomas 004; Adriana Kovashka (CoRR, 2015)

Discovering Attribute Shades of Meaning with the Crowd. - Adriana Kovashka; Kristen Grauman (Int. J. Comput. Vis., 2015)

WhittleSearch: Interactive Image Search with Relative Attribute Feedback. - Adriana Kovashka; Devi Parikh; Kristen Grauman (Int. J. Comput. Vis., 2015)

Inferring Visual Persuasion via Body Language, Setting, and Deep Features. - Xinyue Huang; Adriana Kovashka (CVPR Workshops, 2016)

Seeing Behind the Camera: Identifying the Authorship of a Photograph. - Christopher Thomas 004; Adriana Kovashka (CVPR, 2016)

A Visual Attention Algorithm Designed for Coupled Oscillator Acceleration. - Christopher Thomas 004; Adriana Kovashka; Donald M. Chiarulli; Steven P. Levitan (CVPR Workshops, 2016)

Adapting attributes by selecting features similar across domains. - Siqi Liu; Adriana Kovashka (WACV, 2016)

Crowdsourcing in Computer Vision. - Adriana Kovashka; Olga Russakovsky; Li Fei-Fei 001; Kristen Grauman (Found. Trends Comput. Graph. Vis., 2016)

Confidence and Diversity for Active Selection of Feedback in Image Retrieval. - Bhavin Modi; Adriana Kovashka (BMVC, 2017)

Automatic Understanding of Image and Video Advertisements. - Zaeem Hussain; Mingda Zhang; Xiaozhong Zhang; Keren Ye; Christopher Thomas 004; Zuha Agha; Nathan Ong; Adriana Kovashka (CVPR, 2017)

Detecting Sexually Provocative Images. - Debashis Ganguly; Mohammad H. Mofrad; Adriana Kovashka (WACV, 2017)

Learning Attributes from Human Gaze. - Nils Murrugarra-Llerena; Adriana Kovashka (WACV, 2017)

Asking Friendly Strangers: Non-Semantic Attribute Transfer. - Nils Murrugarra-Llerena; Adriana Kovashka (AAAI, 2018)

Artistic Object Recognition by Unsupervised Style Adaptation. - Christopher Thomas 004; Adriana Kovashka (ACCV (3), 2018)

Persuasive Faces: Generating Faces in Advertisements. - Christopher Thomas 004; Adriana Kovashka (BMVC, 2018)

Story Understanding in Video Advertisements. - Keren Ye; Kyle Buettner; Adriana Kovashka (BMVC, 2018)

Equal But Not The Same: Understanding the Implicit Relationship Between Persuasive Images and Text. - Mingda Zhang; Rebecca Hwa; Adriana Kovashka (BMVC, 2018)

ADVISE: Symbolism and External Knowledge for Decoding Advertisements. - Keren Ye; Adriana Kovashka (ECCV (15), 2018)

Learning to discover and localize visual objects with open vocabulary. - Keren Ye; Mingda Zhang; Wei Li 044; Danfeng Qin; Adriana Kovashka; Jesse Berent (CoRR, 2018)

Cross-Modality Personalization for Retrieval. - Nils Murrugarra-Llerena; Adriana Kovashka (CVPR, 2019)

Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection. - Keren Ye; Mingda Zhang; Adriana Kovashka; Wei Li 044; Danfeng Qin; Jesse Berent (ICCV, 2019)

Predicting the Politics of an Image Using Webly Supervised Data. - Christopher Thomas 004; Adriana Kovashka (NeurIPS, 2019)

Measuring Effectiveness of Video Advertisements. - James Hahn; Adriana Kovashka (CoRR, 2019)

Syntharch: Interactive Image Search with Attribute-Conditioned Synthesis. - Zac Yu; Adriana Kovashka (CVPR Workshops, 2020)

Story Completion with Explicit Modeling of Commonsense Knowledge. - Mingda Zhang; Keren Ye; Rebecca Hwa; Adriana Kovashka (CVPR Workshops, 2020)

Classifying Nuclei Shape Heterogeneity in Breast Tumors with Skeletons. - Brian Falkenstein; Adriana Kovashka; Seong Jae Hwang; S. Chakra Chennubhotla (ECCV Workshops (1), 2020)

Domain Generalization Using Shape Representation. - Narges Honarvar Nazari; Adriana Kovashka (ECCV Workshops (1), 2020)

Preserving Semantic Neighborhoods for Robust Cross-Modal Retrieval. - Christopher Thomas 004; Adriana Kovashka (ECCV (18), 2020)

SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. - Keren Ye; Adriana Kovashka; Mark Sandler 002; Menglong Zhu; Andrew G. Howard; Marco Fornoni (ECCV Workshops (1), 2020)

Context for Object Detection via Lightweight Global and Mid-level Representations. - Mesut Erhan Unal; Adriana Kovashka (ICPR, 2020)

Learning to Transfer Visual Effects from Videos to Images. - Christopher Thomas 004; Yale Song; Adriana Kovashka (CoRR, 2020)

A Case Study of the Shortcut Effects in Visual Commonsense Reasoning. - Keren Ye; Adriana Kovashka (AAAI, 2021)

Linguistic Structures As Weak Supervision for Visual Scene Graph Generation. - Keren Ye; Adriana Kovashka (CVPR, 2021)

BasisNet: Two-Stage Model Synthesis for Efficient Inference. - Mingda Zhang; Chun-Te Chu; Andrey Zhmoginov; Andrew Howard 002; Brendan Jou; Yukun Zhu; Li Zhang 003; Rebecca Hwa; Adriana Kovashka (CVPR Workshops, 2021)

Domain-Robust VQA With Diverse Datasets and Methods but No Target Labels. - Mingda Zhang; Tristan Maidment; Ahmad Diab; Adriana Kovashka; Rebecca Hwa (CVPR, 2021)

Detecting Persuasive Atypicality by Modeling Contextual Compatibility. - Meiqi Guo; Rebecca Hwa; Adriana Kovashka (ICCV, 2021)

Breaking Shortcuts by Masking for Robust Visual Reasoning. - Keren Ye; Mingda Zhang; Adriana Kovashka (WACV, 2021)

Exploring Corruption Robustness: Inductive Biases in Vision Transformers and MLP-Mixers. - Katelyn Morrison; Benjamin Gilby; Colton Lipchak; Adam Mattioli; Adriana Kovashka (CoRR, 2021)

Image retrieval with mixed initiative and multimodal feedback. - Nils Murrugarra-Llerena; Adriana Kovashka (Comput. Vis. Image Underst., 2021)

Predicting Visual Political Bias Using Webly Supervised Data and an Auxiliary Task. - Christopher Thomas 004; Adriana Kovashka (Int. J. Comput. Vis., 2021)

Interpreting the Rhetoric of Visual Advertisements. - Keren Ye; Narges Honarvar Nazari; James Hahn; Zaeem Hussain; Mingda Zhang; Adriana Kovashka (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

It Takes Two: Examining the Effects of Collaborative Teaching of a Robot Learner. - Christina Steele; Nikki G. Lobczowski; Teresa Davison; Mingzhi Yu; Michael S. Diamond; Adriana Kovashka; Diane J. Litman; Timothy Nokes-Malach; Erin Walker (AIED (2), 2022)

Emphasizing Complementary Samples for Non-literal Cross-modal Retrieval. - Christopher Thomas 004; Adriana Kovashka (CVPR Workshops, 2022)

The Role of Shape for Domain Generalization on Sparsely-Textured Images. - Narges Honarvar Nazari; Adriana Kovashka (CVPR Workshops, 2022)

Doubling down: sparse grounding with an additional, almost-matching caption for detection-oriented multimodal pretraining. - Giacomo Nebbia; Adriana Kovashka (CVPR Workshops, 2022)

Weakly-Supervised Action Detection Guided by Audio Narration. - Keren Ye; Adriana Kovashka (CVPR Workshops, 2022)

Building a Reinforcement Learning Environment from Limited Data to Optimize Teachable Robot Interventions. - Tristan Maidment; Mingzhi Yu; Nikki G. Lobczowski; Adriana Kovashka; Erin Walker; Diane J. Litman; Timothy Nokes-Malach (EDM, 2022)

Characterizing User Susceptibility to COVID-19 Misinformation on Twitter. - Xian Teng; Yu-Ru Lin; Wen-Ting Chung; Ang Li; Adriana Kovashka (ICWSM, 2022)

Comparison of Lexical Alignment with a Teachable Robot in Human-Robot and Human-Human-Robot Interactions. - Yuya Asano; Diane J. Litman; Mingzhi Yu; Nikki G. Lobczowski; Timothy Nokes-Malach; Adriana Kovashka; Erin Walker (SIGDIAL, 2022)

Visual Persuasion in COVID-19 Social Media Content: A Multi-Modal Characterization. - Mesut Erhan Unal; Adriana Kovashka; Wen-Ting Chung; Yu-Ru Lin (WWW (Companion Volume), 2022)

Symbolic image detection using scene and knowledge graphs. - Nasrin Kalanat; Adriana Kovashka (CoRR, 2022)

Contrastive View Design Strategies to Enhance Robustness to Domain Shifts in Downstream Object Detection. - Kyle Buettner; Adriana Kovashka (CoRR, 2022)

Decoding Symbolism in Language Models. - Meiqi Guo; Rebecca Hwa; Adriana Kovashka (ACL (1), 2023)

Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport. - Yuya Asano; Diane J. Litman; Mingzhi Yu; Nikki G. Lobczowski; Timothy Nokes-Malach; Adriana Kovashka; Erin Walker (AIED (Posters/Late Breaking Results/...), 2023)

Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature Alignment. - Sina Malakouti; Adriana Kovashka (BMVC, 2023)

Improving language-supervised object detection with linguistic structure analysis. - Arushi Rai; Adriana Kovashka (CVPR Workshops, 2023)

Hypernymization of named entity-rich captions for grounding-based multi-modal pretraining. - Giacomo Nebbia; Adriana Kovashka (ICMR, 2023)

Towards Shape-regularized Learning for Mitigating Texture Bias in CNNs. - Harsh Sinha; Adriana Kovashka (ICMR, 2023)

Complementary Cues from Audio Help Combat Noise in Weakly-Supervised Object Detection. - Cagri Gungor; Adriana Kovashka (WACV, 2023)

How to Practice VQA on a Resource-limited Target Domain. - Mingda Zhang; Rebecca Hwa; Adriana Kovashka (WACV, 2023)

Weakly-Supervised HOI Detection from Interaction Labels Only and Language/Vision-Language Priors. - Mesut Erhan Unal; Adriana Kovashka (CoRR, 2023)

Enhancing the Role of Context in Region-Word Alignment for Object Detection. - Kyle Buettner; Adriana Kovashka (CoRR, 2023)

Learning to Overcome Noise in Weak Caption Supervision for Object Detection. - Mesut Erhan Unal; Keren Ye; Mingda Zhang; Christopher Thomas 004; Adriana Kovashka; Wei Li 044; Danfeng Qin; Jesse Berent (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition. - Kyle Buettner; Sina Malakouti; Xiang Lorraine Li; Adriana Kovashka (CVPR, 2024)

Using Language-Aligned Gesture Embeddings for Understanding Gestures Accompanying Math Terms. - Tristan Maidment; Purav J. Patel; Erin Walker; Adriana Kovashka (CVPR Workshops, 2024)

Image-caption difficulty for efficient weakly-supervised object detection from in-the-wild data. - Giacomo Nebbia; Adriana Kovashka (CVPR Workshops, 2024)

Strategies to Leverage Foundational Model Knowledge in Object Affordance Grounding. - Arushi Rai; Kyle Buettner; Adriana Kovashka (CVPR Workshops, 2024)

VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection. - Arushi Rai; Adriana Kovashka (EACL (1), 2024)

Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual Retrieval. - Kyle Buettner; Adriana Kovashka (EMNLP, 2024)

Synonym relations affect object detection learned on vision-language data. - Giacomo Nebbia; Adriana Kovashka (NAACL-HLT (Findings), 2024)

Investigating the Role of Attribute Context in Vision-Language Models for Object Recognition and Detection. - Kyle Buettner; Adriana Kovashka (WACV, 2024)

Boosting Weakly Supervised Object Detection using Fusion and Priors from Hallucinated Depth. - Cagri Gungor; Adriana Kovashka (WACV, 2024)

What metrics of participation balance predict outcomes of collaborative learning with a robot? - Yuya Asano; Diane J. Litman; Quentin King-Shepard; Tristan Maidment; Tyree Langley; Teresa Davison; Timothy Nokes-Malach; Adriana Kovashka; Erin Walker (CoRR, 2024)

CAP: Evaluation of Persuasive and Creative Image Generation. - Aysan Aghazadeh; Adriana Kovashka (CoRR, 2024)

Multi-party Lexical Alignment in Collaborative Learning with a Teachable Robot. - Yuya Asano; Diane J. Litman; Paras Sharma; Daniel Fritsch; Quentin King-Shepard; Timothy Nokes-Malach; Adriana Kovashka; Erin Walker (AIED (6), 2025)

Beyond Static Measures: Temporal Analysis of Lexical Alignment in Human-Human Learning With a Teachable Robot. - Paras Sharma; Daniel Fritsch; Yuya Asano; Quentin King-Shepard; Tyree Langley; Tristan Maidment; Diane J. Litman; Timothy Nokes-Malach; Adriana Kovashka; Nikki G. Lobczowski; Erin Walker (AIED (4), 2025)

Integrating Audio Narrations to Strengthen Domain Generalization in Multimodal First-Person Action Recognition. - Cagri Gungor; Adriana Kovashka (ICASSP, 2025)

Enhancing Weakly-Supervised Object Detection on Static Images Through (Hallucinated) Motion. - Cagri Gungor; Adriana Kovashka (WACV (Workshops), 2025)

Benchmarking VLMs' Reasoning About Persuasive Atypical Images. - Sina Malakouti; Aysan Aghazadeh; Ashmit Khandelwal; Adriana Kovashka (WACV, 2025)

Rubric-Constrained Figure Skating Scoring. - Arushi Rai; Adriana Kovashka (WACV, 2025)

Leveraging Large Models for Evaluating Novel Content: A Case Study on Advertisement Creativity. - Zhaoyi Joey Hou; Adriana Kovashka; Xiang Lorraine Li (CoRR, 2025)

Towards Generalization of Tactile Image Generation: Reference-Free Evaluation in a Leakage-Free Setting. - Cagri Gungor; Derek Eppinger; Adriana Kovashka (CoRR, 2025)

Investigating and Improving Counter-Stereotypical Action Relation in Text-to-Image Diffusion Models. - Sina Malakouti; Adriana Kovashka (CoRR, 2025)

A Multimodal Recaptioning Framework to Account for Perceptual Diversity in Multilingual Vision-Language Modeling. - Kyle Buettner; Jacob Emmerson; Adriana Kovashka (CoRR, 2025)