| 2026 | WACV | Generalizing Sports Feedback Generation by Watching Competitions and Reading Books: A Rock Climbing Case Study. | Arushi Rai, Adriana Kovashka |
| 2025 | AIED | 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 |
| 2025 | AIED | 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 |
| 2025 | EMNLP | The Face of Persuasion: Analyzing Bias and Generating Culture-Aware Ads. | Aysan Aghazadeh, Adriana Kovashka |
| 2025 | EMNLP | Leveraging Large Models to Evaluate Novel Content: A Case Study on Advertisement Creativity. | Zhaoyi Joey Hou, Adriana Kovashka, Xiang Lorraine Li |
| 2025 | EMNLP | Probing Logical Reasoning of MLLMs in Scientific Diagrams. | Yufei Wang, Adriana Kovashka |
| 2025 | ICASSP | Integrating Audio Narrations to Strengthen Domain Generalization in Multimodal First-Person Action Recognition. | Cagri Gungor, Adriana Kovashka |
| 2025 | ICCV | Cap: Evaluation of Persuasive and Creative Image Generation. | Aysan Aghazadeh, Adriana Kovashka |
| 2025 | IJCNLP | A Multimodal Recaptioning Framework to Account for Perceptual Diversity Across Languages in Vision-Language Modeling. | Kyle Buettner, Jacob Emmerson, Adriana Kovashka |
| 2025 | WACV | Enhancing Weakly-Supervised Object Detection on Static Images Through (Hallucinated) Motion. | Cagri Gungor, Adriana Kovashka |
| 2025 | WACV | Benchmarking VLMs' Reasoning About Persuasive Atypical Images. | Sina Malakouti, Aysan Aghazadeh, Ashmit Khandelwal, Adriana Kovashka |
| 2025 | WACV | Rubric-Constrained Figure Skating Scoring. | Arushi Rai, Adriana Kovashka |
| 2024 | CVPR | Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition. | Kyle Buettner, Sina Malakouti, Xiang Lorraine Li, Adriana Kovashka |
| 2024 | CVPR | Using Language-Aligned Gesture Embeddings for Understanding Gestures Accompanying Math Terms. | Tristan Maidment, Purav J. Patel, Erin Walker, Adriana Kovashka |
| 2024 | CVPR | Image-caption difficulty for efficient weakly-supervised object detection from in-the-wild data. | Giacomo Nebbia, Adriana Kovashka |
| 2024 | CVPR | Strategies to Leverage Foundational Model Knowledge in Object Affordance Grounding. | Arushi Rai, Kyle Buettner, Adriana Kovashka |
| 2024 | EACL | VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection. | Arushi Rai, Adriana Kovashka |
| 2024 | EMNLP | Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual Retrieval. | Kyle Buettner, Adriana Kovashka |
| 2024 | NAACL | Synonym relations affect object detection learned on vision-language data. | Giacomo Nebbia, Adriana Kovashka |
| 2024 | WACV | Investigating the Role of Attribute Context in Vision-Language Models for Object Recognition and Detection. | Kyle Buettner, Adriana Kovashka |
| 2024 | WACV | Boosting Weakly Supervised Object Detection using Fusion and Priors from Hallucinated Depth. | Cagri Gungor, Adriana Kovashka |
| 2023 | ACL | Decoding Symbolism in Language Models. | Meiqi Guo, Rebecca Hwa, Adriana Kovashka |
| 2023 | AIED | 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 |
| 2023 | BMVC | Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature Alignment. | Sina Malakouti, Adriana Kovashka |
| 2023 | CVPR | Improving language-supervised object detection with linguistic structure analysis. | Arushi Rai, Adriana Kovashka |
| 2023 | WACV | Complementary Cues from Audio Help Combat Noise in Weakly-Supervised Object Detection. | Cagri Gungor, Adriana Kovashka |
| 2023 | WACV | How to Practice VQA on a Resource-limited Target Domain. | Mingda Zhang, Rebecca Hwa, Adriana Kovashka |
| 2022 | AIED | It Takes Two: Examining the Effects of Collaborative Teaching of a Robot Learner. | Christina Steele, Nikki G. Lobczowski, Teresa Davison, Mingzhi Yu, Michael Diamond, Adriana Kovashka, Diane J. Litman, Timothy Nokes-Malach, Erin Walker |
| 2022 | CVPR | Emphasizing Complementary Samples for Non-literal Cross-modal Retrieval. | Christopher Thomas, Adriana Kovashka |
| 2022 | CVPR | The Role of Shape for Domain Generalization on Sparsely-Textured Images. | Narges Honarvar Nazari, Adriana Kovashka |
| 2022 | CVPR | Doubling down: sparse grounding with an additional, almost-matching caption for detection-oriented multimodal pretraining. | Giacomo Nebbia, Adriana Kovashka |
| 2022 | CVPR | Weakly-Supervised Action Detection Guided by Audio Narration. | Keren Ye, Adriana Kovashka |
| 2022 | EDM | 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 |
| 2022 | ICWSM | Characterizing User Susceptibility to COVID-19 Misinformation on Twitter. | Xian Teng, Yu-Ru Lin, Wen-Ting Chung, Ang Li, Adriana Kovashka |
| 2022 | WWW | Visual Persuasion in COVID-19 Social Media Content: A Multi-Modal Characterization. | Mesut Erhan Unal, Adriana Kovashka, Wen-Ting Chung, Yu-Ru Lin |
| 2022 | SIGdial | 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 |
| 2021 | AAAI | A Case Study of the Shortcut Effects in Visual Commonsense Reasoning. | Keren Ye, Adriana Kovashka |
| 2021 | CVPR | Linguistic Structures As Weak Supervision for Visual Scene Graph Generation. | Keren Ye, Adriana Kovashka |
| 2021 | CVPR | BasisNet: Two-Stage Model Synthesis for Efficient Inference. | Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov, Andrew Howard, Brendan Jou, Yukun Zhu, Li Zhang, Rebecca Hwa, Adriana Kovashka |
| 2021 | CVPR | Domain-Robust VQA With Diverse Datasets and Methods but No Target Labels. | Mingda Zhang, Tristan Maidment, Ahmad Diab, Adriana Kovashka, Rebecca Hwa |
| 2021 | ICCV | Detecting Persuasive Atypicality by Modeling Contextual Compatibility. | Meiqi Guo, Rebecca Hwa, Adriana Kovashka |
| 2021 | WACV | Breaking Shortcuts by Masking for Robust Visual Reasoning. | Keren Ye, Mingda Zhang, Adriana Kovashka |
| 2020 | ACCV | SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. | Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew G. Howard, Marco Fornoni |
| 2020 | CVPR | Syntharch: Interactive Image Search with Attribute-Conditioned Synthesis. | Zac Yu, Adriana Kovashka |
| 2020 | CVPR | Story Completion with Explicit Modeling of Commonsense Knowledge. | Mingda Zhang, Keren Ye, Rebecca Hwa, Adriana Kovashka |
| 2020 | ECCV | Classifying Nuclei Shape Heterogeneity in Breast Tumors with Skeletons. | Brian Falkenstein, Adriana Kovashka, Seong Jae Hwang, S. Chakra Chennubhotla |
| 2020 | ECCV | Domain Generalization Using Shape Representation. | Narges Honarvar Nazari, Adriana Kovashka |
| 2020 | ECCV | Preserving Semantic Neighborhoods for Robust Cross-Modal Retrieval. | Christopher Thomas, Adriana Kovashka |
| 2020 | ECCV | SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. | Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew G. Howard, Marco Fornoni |
| 2020 | ICPR | Context for Object Detection via Lightweight Global and Mid-level Representations. | Mesut Erhan Unal, Adriana Kovashka |
| 2019 | CVPR | Cross-Modality Personalization for Retrieval. | Nils Murrugarra-Llerena, Adriana Kovashka |
| 2019 | ICCV | Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection. | Keren Ye, Mingda Zhang, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent |
| 2018 | AAAI | Asking Friendly Strangers: Non-Semantic Attribute Transfer. | Nils Murrugarra-Llerena, Adriana Kovashka |
| 2018 | ACCV | Artistic Object Recognition by Unsupervised Style Adaptation. | Christopher Thomas, Adriana Kovashka |
| 2018 | BMVC | Persuasive Faces: Generating Faces in Advertisements. | Christopher Thomas, Adriana Kovashka |
| 2018 | BMVC | Image Retrieval with Mixed Initiative and Multimodal Feedback. | Nils Murrugarra-Llerena, Adriana Kovashka |
| 2018 | BMVC | Story Understanding in Video Advertisements. | Keren Ye, Kyle Buettner, Adriana Kovashka |
| 2018 | BMVC | Equal But Not The Same: Understanding the Implicit Relationship Between Persuasive Images and Text. | Mingda Zhang, Rebecca Hwa, Adriana Kovashka |
| 2018 | ECCV | ADVISE: Symbolism and External Knowledge for Decoding Advertisements. | Keren Ye, Adriana Kovashka |
| 2017 | BMVC | Confidence and Diversity for Active Selection of Feedback in Image Retrieval. | Bhavin Modi, Adriana Kovashka |
| 2017 | CVPR | Automatic Understanding of Image and Video Advertisements. | Zaeem Hussain, Mingda Zhang, Xiaozhong Zhang, Keren Ye, Christopher Thomas, Zuha Agha, Nathan Ong, Adriana Kovashka |
| 2017 | WACV | Detecting Sexually Provocative Images. | Debashis Ganguly, Mohammad H. Mofrad, Adriana Kovashka |
| 2017 | WACV | Learning Attributes from Human Gaze. | Nils Murrugarra-Llerena, Adriana Kovashka |
| 2016 | CVPR | Inferring Visual Persuasion via Body Language, Setting, and Deep Features. | Xinyue Huang, Adriana Kovashka |
| 2016 | CVPR | Seeing Behind the Camera: Identifying the Authorship of a Photograph. | Christopher Thomas, Adriana Kovashka |
| 2016 | CVPR | A Visual Attention Algorithm Designed for Coupled Oscillator Acceleration. | Christopher Thomas, Adriana Kovashka, Donald M. Chiarulli, Steven P. Levitan |
| 2016 | WACV | Adapting attributes by selecting features similar across domains. | Siqi Liu, Adriana Kovashka |
| 2013 | ICCV | Attribute Pivots for Guiding Relevance Feedback in Image Search. | Adriana Kovashka, Kristen Grauman |
| 2013 | ICCV | Attribute Adaptation for Personalized Image Search. | Adriana Kovashka, Kristen Grauman |
| 2012 | AAAI | Relative Attributes for Enhanced Human-Machine Communication. | Devi Parikh, Adriana Kovashka, Amar Parkash, Kristen Grauman |
| 2012 | CVPR | WhittleSearch: Image search with relative attribute feedback. | Adriana Kovashka, Devi Parikh, Kristen Grauman |
| 2011 | ICCV | Actively selecting annotations among objects and attributes. | Adriana Kovashka, Sudheendra Vijayanarasimhan, Kristen Grauman |
| 2010 | ACL | Authorship Attribution Using Probabilistic Context-Free Grammars. | Sindhu Raghavan, Adriana Kovashka, Raymond J. Mooney |
| 2010 | CVPR | Learning a hierarchy of discriminative space-time neighborhood features for human action recognition. | Adriana Kovashka, Kristen Grauman |