Adriana Kovashka

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 91

Top Venues

Publications

Arushi Rai, Adriana Kovashka
VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection. EACL (1) (2024)
Yuya Asano, Diane J. Litman, Quentin King-Shepard, Tristan Maidment, Tyree Langley, Teresa Davison, Timothy Nokes-Malach, Adriana Kovashka, Erin Walker
What metrics of participation balance predict outcomes of collaborative learning with a robot? CoRR (2024)
Kyle Buettner, Sina Malakouti, Xiang Lorraine Li, Adriana Kovashka
Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition. CoRR (2024)
Cagri Gungor, Adriana Kovashka
Boosting Weakly Supervised Object Detection using Fusion and Priors from Hallucinated Depth. WACV (2024)
Kyle Buettner, Adriana Kovashka
Investigating the Role of Attribute Context in Vision-Language Models for Object Recognition and Detection. WACV (2024)
Cagri Gungor, Adriana Kovashka
Boosting Weakly Supervised Object Detection using Fusion and Priors from Hallucinated Depth. CoRR (2023)
Giacomo Nebbia, Adriana Kovashka
Hypernymization of named entity-rich captions for grounding-based multi-modal pretraining. ICMR (2023)
Sina Malakouti, Adriana Kovashka
Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature Alignment. CoRR (2023)
Cagri Gungor, Adriana Kovashka
Complementary Cues from Audio Help Combat Noise in Weakly-Supervised Object Detection. WACV (2023)
Meiqi Guo, Rebecca Hwa, Adriana Kovashka
Decoding Symbolism in Language Models. ACL (1) (2023)
Mesut Erhan Unal, Adriana Kovashka
Weakly-Supervised HOI Detection from Interaction Labels Only and Language/Vision-Language Priors. CoRR (2023)
Arushi Rai, Adriana Kovashka
Improving language-supervised object detection with linguistic structure analysis. CVPR Workshops (2023)
Mesut Erhan Unal, Keren Ye, Mingda Zhang, Christopher Thomas, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent
Learning to Overcome Noise in Weak Caption Supervision for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Yuya Asano, Diane J. Litman, Mingzhi Yu, Nikki G. Lobczowski, Timothy Nokes-Malach, Adriana Kovashka, Erin Walker
Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport. CoRR (2023)
Sina Malakouti, Adriana Kovashka
Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature Alignment. BMVC (2023)
Mingda Zhang, Rebecca Hwa, Adriana Kovashka
How to Practice VQA on a Resource-limited Target Domain. WACV (2023)
Arushi Rai, Adriana Kovashka
VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection. CoRR (2023)
Yuya Asano, Diane J. Litman, Mingzhi Yu, Nikki G. Lobczowski, Timothy Nokes-Malach, Adriana Kovashka, Erin Walker
Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport. AIED (Posters/Late Breaking Results/...) (2023)
Kyle Buettner, Adriana Kovashka
Enhancing the Role of Context in Region-Word Alignment for Object Detection. CoRR (2023)
Harsh Sinha, Adriana Kovashka
Towards Shape-regularized Learning for Mitigating Texture Bias in CNNs. ICMR (2023)
Giacomo Nebbia, Adriana Kovashka
Hypernymization of named entity-rich captions for grounding-based multi-modal pretraining. CoRR (2023)
Narges Honarvar Nazari, Adriana Kovashka
The Role of Shape for Domain Generalization on Sparsely-Textured Images. CVPR Workshops (2022)
Giacomo Nebbia, Adriana Kovashka
Doubling down: sparse grounding with an additional, almost-matching caption for detection-oriented multimodal pretraining. CVPR Workshops (2022)
Christina Steele, Nikki G. Lobczowski, Teresa Davison, Mingzhi Yu, Michael Diamond, Adriana Kovashka, Diane J. Litman, Timothy Nokes-Malach, Erin Walker
It Takes Two: Examining the Effects of Collaborative Teaching of a Robot Learner. AIED (2) (2022)
Tristan Maidment, Mingzhi Yu, Nikki G. Lobczowski, Adriana Kovashka, Erin Walker, Diane J. Litman, Timothy Nokes-Malach
Building a Reinforcement Learning Environment from Limited Data to Optimize Teachable Robot Interventions. EDM (2022)
Nasrin Kalanat, Adriana Kovashka
Symbolic image detection using scene and knowledge graphs. CoRR (2022)
Keren Ye, Adriana Kovashka
Weakly-Supervised Action Detection Guided by Audio Narration. CVPR Workshops (2022)
Christopher Thomas, Adriana Kovashka
Emphasizing Complementary Samples for Non-literal Cross-modal Retrieval. CVPR Workshops (2022)
Kyle Buettner, Adriana Kovashka
Contrastive View Design Strategies to Enhance Robustness to Domain Shifts in Downstream Object Detection. CoRR (2022)
Xian Teng, Yu-Ru Lin, Wen-Ting Chung, Ang Li, Adriana Kovashka
Characterizing User Susceptibility to COVID-19 Misinformation on Twitter. ICWSM (2022)
Mesut Erhan Unal, Adriana Kovashka, Wen-Ting Chung, Yu-Ru Lin
Visual Persuasion in COVID-19 Social Media Content: A Multi-Modal Characterization. WWW (Companion Volume) (2022)
Yuya Asano, Diane J. Litman, Mingzhi Yu, Nikki G. Lobczowski, Timothy Nokes-Malach, Adriana Kovashka, Erin Walker
Comparison of Lexical Alignment with a Teachable Robot in Human-Robot and Human-Human-Robot Interactions. CoRR (2022)
Yuya Asano, Diane J. Litman, Mingzhi Yu, Nikki G. Lobczowski, Timothy Nokes-Malach, Adriana Kovashka, Erin Walker
Comparison of Lexical Alignment with a Teachable Robot in Human-Robot and Human-Human-Robot Interactions. SIGDIAL (2022)
Keren Ye, Adriana Kovashka
Weakly-Supervised Action Detection Guided by Audio Narration. CoRR (2022)
Keren Ye, Mingda Zhang, Adriana Kovashka
Breaking Shortcuts by Masking for Robust Visual Reasoning. WACV (2021)
Keren Ye, Adriana Kovashka
Linguistic Structures As Weak Supervision for Visual Scene Graph Generation. CVPR (2021)
Nils Murrugarra-Llerena, Adriana Kovashka
Image retrieval with mixed initiative and multimodal feedback. Comput. Vis. Image Underst. 207 (2021)
Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew Howard, Marco Fornoni
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. CoRR (2021)
Keren Ye, Adriana Kovashka
Linguistic Structures as Weak Supervision for Visual Scene Graph Generation. CoRR (2021)
Meiqi Guo, Rebecca Hwa, Adriana Kovashka
Detecting Persuasive Atypicality by Modeling Contextual Compatibility. ICCV (2021)
Mingda Zhang, Tristan Maidment, Ahmad Diab, Adriana Kovashka, Rebecca Hwa
Domain-Robust VQA With Diverse Datasets and Methods but No Target Labels. CVPR (2021)
Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov, Andrew G. Howard, Brendan Jou, Yukun Zhu, Li Zhang, Rebecca Hwa, Adriana Kovashka
BasisNet: Two-stage Model Synthesis for Efficient Inference. CoRR (2021)
Xian Teng, Yu-Ru Lin, Wen-Ting Chung, Ang Li, Adriana Kovashka
Characterizing User Susceptibility to COVID-19 Misinformation on Twitter. CoRR (2021)
Christopher Thomas, Adriana Kovashka
Predicting Visual Political Bias Using Webly Supervised Data and an Auxiliary Task. Int. J. Comput. Vis. 129 (11) (2021)
Mingda Zhang, Tristan Maidment, Ahmad Diab, Adriana Kovashka, Rebecca Hwa
Domain-robust VQA with diverse datasets and methods but no target labels. CoRR (2021)
Katelyn Morrison, Benjamin Gilby, Colton Lipchak, Adam Mattioli, Adriana Kovashka
Exploring Corruption Robustness: Inductive Biases in Vision Transformers and MLP-Mixers. CoRR (2021)
Keren Ye, Narges Honarvar Nazari, James Hahn, Zaeem Hussain, Mingda Zhang, Adriana Kovashka
Interpreting the Rhetoric of Visual Advertisements. IEEE Trans. Pattern Anal. Mach. Intell. 43 (4) (2021)
Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov, Andrew Howard, Brendan Jou, Yukun Zhu, Li Zhang, Rebecca Hwa, Adriana Kovashka
BasisNet: Two-Stage Model Synthesis for Efficient Inference. CVPR Workshops (2021)
Keren Ye, Adriana Kovashka
A Case Study of the Shortcut Effects in Visual Commonsense Reasoning. AAAI (2021)
Mesut Erhan Unal, Adriana Kovashka, Wen-Ting Chung, Yu-Ru Lin
Visual Persuasion in COVID-19 Social Media Content: A Multi-Modal Characterization. CoRR (2021)
Christopher Thomas, Yale Song, Adriana Kovashka
Learning to Transfer Visual Effects from Videos to Images. CoRR (2020)
Mesut Erhan Unal, Adriana Kovashka
Context for Object Detection via Lightweight Global and Mid-level Representations. ICPR (2020)
Mingda Zhang, Keren Ye, Rebecca Hwa, Adriana Kovashka
Story Completion with Explicit Modeling of Commonsense Knowledge. CVPR Workshops (2020)
Christopher Thomas, Adriana Kovashka
Preserving Semantic Neighborhoods for Robust Cross-Modal Retrieval. ECCV (18) (2020)
Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew G. Howard, Marco Fornoni
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. ECCV Workshops (1) (2020)
Narges Honarvar Nazari, Adriana Kovashka
Domain Generalization Using Shape Representation. ECCV Workshops (1) (2020)
Zac Yu, Adriana Kovashka
Syntharch: Interactive Image Search with Attribute-Conditioned Synthesis. CVPR Workshops (2020)
Brian Falkenstein, Adriana Kovashka, Seong Jae Hwang, S. Chakra Chennubhotla
Classifying Nuclei Shape Heterogeneity in Breast Tumors with Skeletons. ECCV Workshops (1) (2020)
Christopher Thomas, Adriana Kovashka
Preserving Semantic Neighborhoods for Robust Cross-modal Retrieval. CoRR (2020)
Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew G. Howard, Marco Fornoni
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. ACCV (6) (2020)
Nils Murrugarra-Llerena, Adriana Kovashka
Cross-Modality Personalization for Retrieval. CVPR (2019)
James Hahn, Adriana Kovashka
Measuring Effectiveness of Video Advertisements. CoRR (2019)
Christopher Thomas, Adriana Kovashka
Predicting the Politics of an Image Using Webly Supervised Data. CoRR (2019)
Keren Ye, Mingda Zhang, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent
Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection. ICCV (2019)
Keren Ye, Mingda Zhang, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent
Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection. CoRR (2019)
Christopher Thomas, Adriana Kovashka
Predicting the Politics of an Image Using Webly Supervised Data. NeurIPS (2019)
Keren Ye, Kyle Buettner, Adriana Kovashka
Story Understanding in Video Advertisements. BMVC (2018)
Keren Ye, Mingda Zhang, Wei Li, Danfeng Qin, Adriana Kovashka, Jesse Berent
Learning to discover and localize visual objects with open vocabulary. CoRR (2018)
Keren Ye, Adriana Kovashka
ADVISE: Symbolism and External Knowledge for Decoding Advertisements. ECCV (15) (2018)
Christopher Thomas, Adriana Kovashka
Artistic Object Recognition by Unsupervised Style Adaptation. CoRR (2018)
Christopher Thomas, Adriana Kovashka
Persuasive Faces: Generating Faces in Advertisements. BMVC (2018)
Mingda Zhang, Rebecca Hwa, Adriana Kovashka
Equal But Not The Same: Understanding the Implicit Relationship Between Persuasive Images and Text. BMVC (2018)
Nils Murrugarra-Llerena, Adriana Kovashka
Image Retrieval with Mixed Initiative and Multimodal Feedback. CoRR (2018)
Nils Murrugarra-Llerena, Adriana Kovashka
Asking Friendly Strangers: Non-Semantic Attribute Transfer. AAAI (2018)
Christopher Thomas, Adriana Kovashka
Persuasive Faces: Generating Faces in Advertisements. CoRR (2018)
Mingda Zhang, Rebecca Hwa, Adriana Kovashka
Equal But Not The Same: Understanding the Implicit Relationship Between Persuasive Images and Text. CoRR (2018)
Christopher Thomas, Adriana Kovashka
Artistic Object Recognition by Unsupervised Style Adaptation. ACCV (3) (2018)
Keren Ye, Kyle Buettner, Adriana Kovashka
Story Understanding in Video Advertisements. CoRR (2018)
Nils Murrugarra-Llerena, Adriana Kovashka
Image Retrieval with Mixed Initiative and Multimodal Feedback. BMVC (2018)
Zaeem Hussain, Mingda Zhang, Xiaozhong Zhang, Keren Ye, Christopher Thomas, Zuha Agha, Nathan Ong, Adriana Kovashka
Automatic Understanding of Image and Video Advertisements. CVPR (2017)
Nils Murrugarra-Llerena, Adriana Kovashka
Learning Attributes from Human Gaze. WACV (2017)
Debashis Ganguly, Mohammad H. Mofrad, Adriana Kovashka
Detecting Sexually Provocative Images. WACV (2017)
Keren Ye, Adriana Kovashka
ADVISE: Symbolism and External Knowledge for Decoding Advertisements. CoRR (2017)
Bhavin Modi, Adriana Kovashka
Confidence and Diversity for Active Selection of Feedback in Image Retrieval. BMVC (2017)
Zaeem Hussain, Mingda Zhang, Xiaozhong Zhang, Keren Ye, Christopher Thomas, Zuha Agha, Nathan Ong, Adriana Kovashka
Automatic Understanding of Image and Video Advertisements. CoRR (2017)
Adriana Kovashka, Olga Russakovsky, Li Fei-Fei, Kristen Grauman
Crowdsourcing in Computer Vision. CoRR (2016)
Adriana Kovashka, Olga Russakovsky, Li Fei-Fei, Kristen Grauman
Crowdsourcing in Computer Vision. Found. Trends Comput. Graph. Vis. 10 (3) (2016)
Xinyue Huang, Adriana Kovashka
Inferring Visual Persuasion via Body Language, Setting, and Deep Features. CVPR Workshops (2016)
Christopher Thomas, Adriana Kovashka, Donald M. Chiarulli, Steven P. Levitan
A Visual Attention Algorithm Designed for Coupled Oscillator Acceleration. CVPR Workshops (2016)
Christopher Thomas, Adriana Kovashka
Seeing Behind the Camera: Identifying the Authorship of a Photograph. CVPR (2016)
Siqi Liu, Adriana Kovashka
Adapting attributes by selecting features similar across domains. WACV (2016)
Christopher Thomas, Adriana Kovashka
Who's Behind the Camera? Identifying the Authorship of a Photograph. CoRR (2015)
Adriana Kovashka, Kristen Grauman
Discovering Attribute Shades of Meaning with the Crowd. Int. J. Comput. Vis. 114 (1) (2015)
Adriana Kovashka, Devi Parikh, Kristen Grauman
WhittleSearch: Interactive Image Search with Relative Attribute Feedback. CoRR (2015)
Adriana Kovashka, Kristen Grauman
Discovering Attribute Shades of Meaning with the Crowd. CoRR (2015)
Adriana Kovashka, Devi Parikh, Kristen Grauman
WhittleSearch: Interactive Image Search with Relative Attribute Feedback. Int. J. Comput. Vis. 115 (2) (2015)
Adriana Kovashka, Kristen Grauman
Attribute Adaptation for Personalized Image Search. ICCV (2013)
Adriana Kovashka, Kristen Grauman
Attribute Pivots for Guiding Relevance Feedback in Image Search. ICCV (2013)
Adriana Kovashka, Devi Parikh, Kristen Grauman
WhittleSearch: Image search with relative attribute feedback. CVPR (2012)
Devi Parikh, Adriana Kovashka, Amar Parkash, Kristen Grauman
Relative Attributes for Enhanced Human-Machine Communication. AAAI (2012)

Adriana Kovashka.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Adriana Kovashka