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ORCIDAdriana Kovashka
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- affiliation: University of Pittsburgh, PA, USA
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2020 – today
- 2024
[c65]Arushi Rai, Kyle Buettner, Adriana Kovashka:
Strategies to Leverage Foundational Model Knowledge in Object Affordance Grounding. CVPR Workshops 2024: 1714-1723- [c64]Tristan Maidment, Purav J. Patel, Erin Walker, Adriana Kovashka:
Using Language-Aligned Gesture Embeddings for Understanding Gestures Accompanying Math Terms. CVPR Workshops 2024: 2227-2237 - [c63]Giacomo Nebbia, Adriana Kovashka:
Image-caption difficulty for efficient weakly-supervised object detection from in-the-wild data. CVPR Workshops 2024: 2596-2605 - [c62]Kyle Buettner, Sina Malakouti, Xiang Lorraine Li, Adriana Kovashka:
Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition. CVPR 2024: 13515-13524 - [c61]Arushi Rai, Adriana Kovashka:
VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection. EACL (1) 2024: 1632-1649 - [c60]Kyle Buettner, Adriana Kovashka:
Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual Retrieval. EMNLP 2024: 5863-5870 - [c59]Giacomo Nebbia, Adriana Kovashka:
Synonym relations affect object detection learned on vision-language data. NAACL-HLT (Findings) 2024: 3770-3776 - [c58]Cagri Gungor, Adriana Kovashka:
Boosting Weakly Supervised Object Detection using Fusion and Priors from Hallucinated Depth. WACV 2024: 728-737 - [c57]Kyle Buettner, Adriana Kovashka:
Investigating the Role of Attribute Context in Vision-Language Models for Object Recognition and Detection. WACV 2024: 5462-5472 - [i41]Kyle Buettner, Sina Malakouti, Xiang Lorraine Li, Adriana Kovashka:
Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition. CoRR abs/2401.01482 (2024) - [i40]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 abs/2405.11092 (2024) - [i39]Cagri Gungor, Adriana Kovashka:
Integrating Audio Narrations to Strengthen Domain Generalization in Multimodal First-Person Action Recognition. CoRR abs/2409.09611 (2024) - [i38]Cagri Gungor, Adriana Kovashka:
Enhancing Weakly-Supervised Object Detection on Static Images through (Hallucinated) Motion. CoRR abs/2409.09616 (2024) - [i37]Sina Malakouti, Aysan Aghazadeh, Ashmit Khandelwal, Adriana Kovashka:
Benchmarking VLMs' Reasoning About Persuasive Atypical Images. CoRR abs/2409.10719 (2024) - [i36]Kyle Buettner, Adriana Kovashka:
Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual Retrieval. CoRR abs/2410.02027 (2024) - 2023
- [j7]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): 4897-4914 (2023) - [c56]Meiqi Guo, Rebecca Hwa, Adriana Kovashka:
Decoding Symbolism in Language Models. ACL (1) 2023: 3311-3324 - [c55]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: 606-611 - [c54]Sina Malakouti, Adriana Kovashka:
Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature Alignment. BMVC 2023: 444-447 - [c53]Arushi Rai, Adriana Kovashka:
Improving language-supervised object detection with linguistic structure analysis. CVPR Workshops 2023: 5560-5570 - [c52]Giacomo Nebbia, Adriana Kovashka:
Hypernymization of named entity-rich captions for grounding-based multi-modal pretraining. ICMR 2023: 67-75 - [c51]Harsh Sinha, Adriana Kovashka:
Towards Shape-regularized Learning for Mitigating Texture Bias in CNNs. ICMR 2023: 325-334 - [c50]Cagri Gungor, Adriana Kovashka:
Complementary Cues from Audio Help Combat Noise in Weakly-Supervised Object Detection. WACV 2023: 2184-2193 - [c49]Mingda Zhang, Rebecca Hwa, Adriana Kovashka:
How to Practice VQA on a Resource-limited Target Domain. WACV 2023: 4440-4449 - [i35]Mesut Erhan Unal, Adriana Kovashka:
Weakly-Supervised HOI Detection from Interaction Labels Only and Language/Vision-Language Priors. CoRR abs/2303.05546 (2023) - [i34]Arushi Rai, Adriana Kovashka:
VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection. CoRR abs/2303.09608 (2023) - [i33]Kyle Buettner, Adriana Kovashka:
Enhancing the Role of Context in Region-Word Alignment for Object Detection. CoRR abs/2303.10093 (2023) - [i32]Cagri Gungor, Adriana Kovashka:
Boosting Weakly Supervised Object Detection using Fusion and Priors from Hallucinated Depth. CoRR abs/2303.10937 (2023) - [i31]Giacomo Nebbia, Adriana Kovashka:
Hypernymization of named entity-rich captions for grounding-based multi-modal pretraining. CoRR abs/2304.13130 (2023) - [i30]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 abs/2306.07302 (2023) - [i29]Sina Malakouti, Adriana Kovashka:
Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature Alignment. CoRR abs/2309.13525 (2023) - 2022
- [c48]Christina Steele, Nikki G. Lobczowski, Teresa Davison, Mingzhi Yu, Michael S. 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: 604-607 - [c47]Keren Ye, Adriana Kovashka:
Weakly-Supervised Action Detection Guided by Audio Narration. CVPR Workshops 2022: 1527-1537 - [c46]Christopher Thomas, Adriana Kovashka:
Emphasizing Complementary Samples for Non-literal Cross-modal Retrieval. CVPR Workshops 2022: 4631-4640 - [c45]Giacomo Nebbia, Adriana Kovashka:
Doubling down: sparse grounding with an additional, almost-matching caption for detection-oriented multimodal pretraining. CVPR Workshops 2022: 4641-4650 - [c44]Narges Honarvar Nazari, Adriana Kovashka:
The Role of Shape for Domain Generalization on Sparsely-Textured Images. CVPR Workshops 2022: 5116-5126 - [c43]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 - [c42]Xian Teng, Yu-Ru Lin, Wen-Ting Chung, Ang Li, Adriana Kovashka:
Characterizing User Susceptibility to COVID-19 Misinformation on Twitter. ICWSM 2022: 1005-1016 - [c41]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: 615-622 - [c40]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: 694-704 - [i28]Keren Ye, Adriana Kovashka:
Weakly-Supervised Action Detection Guided by Audio Narration. CoRR abs/2205.05895 (2022) - [i27]Nasrin Kalanat, Adriana Kovashka:
Symbolic image detection using scene and knowledge graphs. CoRR abs/2206.04863 (2022) - [i26]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 abs/2209.11842 (2022) - [i25]Kyle Buettner, Adriana Kovashka:
Contrastive View Design Strategies to Enhance Robustness to Domain Shifts in Downstream Object Detection. CoRR abs/2212.04613 (2022) - 2021
- [j6]Nils Murrugarra-Llerena, Adriana Kovashka:
Image retrieval with mixed initiative and multimodal feedback. Comput. Vis. Image Underst. 207: 103204 (2021) - [j5]Christopher Thomas, Adriana Kovashka:
Predicting Visual Political Bias Using Webly Supervised Data and an Auxiliary Task. Int. J. Comput. Vis. 129(11): 2978-3003 (2021) - [j4]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): 1308-1323 (2021) - [c39]Keren Ye, Adriana Kovashka:
A Case Study of the Shortcut Effects in Visual Commonsense Reasoning. AAAI 2021: 3181-3189 - [c38]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: 3081-3090 - [c37]Mingda Zhang, Tristan Maidment, Ahmad Diab, Adriana Kovashka, Rebecca Hwa:
Domain-Robust VQA With Diverse Datasets and Methods but No Target Labels. CVPR 2021: 7046-7056 - [c36]Keren Ye, Adriana Kovashka:
Linguistic Structures As Weak Supervision for Visual Scene Graph Generation. CVPR 2021: 8289-8299 - [c35]Meiqi Guo, Rebecca Hwa, Adriana Kovashka:
Detecting Persuasive Atypicality by Modeling Contextual Compatibility. ICCV 2021: 952-962 - [c34]Keren Ye, Mingda Zhang, Adriana Kovashka:
Breaking Shortcuts by Masking for Robust Visual Reasoning. WACV 2021: 3519-3529 - [i24]Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew Howard, Marco Fornoni:
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. CoRR abs/2101.01260 (2021) - [i23]Mingda Zhang, Tristan Maidment, Ahmad Diab, Adriana Kovashka, Rebecca Hwa:
Domain-robust VQA with diverse datasets and methods but no target labels. CoRR abs/2103.15974 (2021) - [i22]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 abs/2105.03014 (2021) - [i21]Keren Ye, Adriana Kovashka:
Linguistic Structures as Weak Supervision for Visual Scene Graph Generation. CoRR abs/2105.13994 (2021) - [i20]Katelyn Morrison, Benjamin Gilby, Colton Lipchak, Adam Mattioli, Adriana Kovashka:
Exploring Corruption Robustness: Inductive Biases in Vision Transformers and MLP-Mixers. CoRR abs/2106.13122 (2021) - [i19]Xian Teng, Yu-Ru Lin, Wen-Ting Chung, Ang Li, Adriana Kovashka:
Characterizing User Susceptibility to COVID-19 Misinformation on Twitter. CoRR abs/2109.09532 (2021) - [i18]Mesut Erhan Unal, Adriana Kovashka, Wen-Ting Chung, Yu-Ru Lin:
Visual Persuasion in COVID-19 Social Media Content: A Multi-Modal Characterization. CoRR abs/2112.13910 (2021) - 2020
- [c33]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: 239-256 - [c32]Zac Yu, Adriana Kovashka:
Syntharch: Interactive Image Search with Attribute-Conditioned Synthesis. CVPR Workshops 2020: 645-654 - [c31]Mingda Zhang, Keren Ye, Rebecca Hwa, Adriana Kovashka:
Story Completion with Explicit Modeling of Commonsense Knowledge. CVPR Workshops 2020: 1543-1546 - [c30]Brian Falkenstein, Adriana Kovashka, Seong Jae Hwang, S. Chakra Chennubhotla:
Classifying Nuclei Shape Heterogeneity in Breast Tumors with Skeletons. ECCV Workshops (1) 2020: 310-323 - [c29]Christopher Thomas, Adriana Kovashka:
Preserving Semantic Neighborhoods for Robust Cross-Modal Retrieval. ECCV (18) 2020: 317-335 - [c28]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: 636-640 - [c27]Narges Honarvar Nazari, Adriana Kovashka:
Domain Generalization Using Shape Representation. ECCV Workshops (1) 2020: 666-670 - [c26]Mesut Erhan Unal, Adriana Kovashka:
Context for Object Detection via Lightweight Global and Mid-level Representations. ICPR 2020: 8423-8430 - [i17]Christopher Thomas, Adriana Kovashka:
Preserving Semantic Neighborhoods for Robust Cross-modal Retrieval. CoRR abs/2007.08617 (2020) - [i16]Christopher Thomas, Yale Song, Adriana Kovashka:
Learning to Transfer Visual Effects from Videos to Images. CoRR abs/2012.01642 (2020)
2010 – 2019
- 2019
- [c25]Nils Murrugarra-Llerena, Adriana Kovashka:
Cross-Modality Personalization for Retrieval. CVPR 2019: 6429-6438 - [c24]Keren Ye, Mingda Zhang, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent:
Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection. ICCV 2019: 9685-9694 - [c23]Christopher Thomas, Adriana Kovashka:
Predicting the Politics of an Image Using Webly Supervised Data. NeurIPS 2019: 3625-3637 - [i15]James Hahn, Adriana Kovashka:
Measuring Effectiveness of Video Advertisements. CoRR abs/1901.07366 (2019) - [i14]Keren Ye, Mingda Zhang, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent:
Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection. CoRR abs/1907.10164 (2019) - [i13]Christopher Thomas, Adriana Kovashka:
Predicting the Politics of an Image Using Webly Supervised Data. CoRR abs/1911.00147 (2019) - 2018
- [c22]Nils Murrugarra-Llerena, Adriana Kovashka:
Asking Friendly Strangers: Non-Semantic Attribute Transfer. AAAI 2018: 7268-7275 - [c21]Christopher Thomas, Adriana Kovashka:
Artistic Object Recognition by Unsupervised Style Adaptation. ACCV (3) 2018: 460-476 - [c20]Mingda Zhang, Rebecca Hwa, Adriana Kovashka:
Equal But Not The Same: Understanding the Implicit Relationship Between Persuasive Images and Text. BMVC 2018: 8 - [c19]Keren Ye, Kyle Buettner, Adriana Kovashka:
Story Understanding in Video Advertisements. BMVC 2018: 57 - [c18]Christopher Thomas, Adriana Kovashka:
Persuasive Faces: Generating Faces in Advertisements. BMVC 2018: 95 - [c17]Nils Murrugarra-Llerena, Adriana Kovashka:
Image Retrieval with Mixed Initiative and Multimodal Feedback. BMVC 2018: 310 - [c16]Keren Ye, Adriana Kovashka:
ADVISE: Symbolism and External Knowledge for Decoding Advertisements. ECCV (15) 2018: 868-886 - [i12]Nils Murrugarra-Llerena, Adriana Kovashka:
Image Retrieval with Mixed Initiative and Multimodal Feedback. CoRR abs/1805.03134 (2018) - [i11]Mingda Zhang, Rebecca Hwa, Adriana Kovashka:
Equal But Not The Same: Understanding the Implicit Relationship Between Persuasive Images and Text. CoRR abs/1807.08205 (2018) - [i10]Christopher Thomas, Adriana Kovashka:
Persuasive Faces: Generating Faces in Advertisements. CoRR abs/1807.09882 (2018) - [i9]Keren Ye, Kyle Buettner, Adriana Kovashka:
Story Understanding in Video Advertisements. CoRR abs/1807.11122 (2018) - [i8]Keren Ye, Mingda Zhang, Wei Li, Danfeng Qin, Adriana Kovashka, Jesse Berent:
Learning to discover and localize visual objects with open vocabulary. CoRR abs/1811.10080 (2018) - [i7]Christopher Thomas, Adriana Kovashka:
Artistic Object Recognition by Unsupervised Style Adaptation. CoRR abs/1812.11139 (2018) - 2017
- [c15]Bhavin Modi, Adriana Kovashka:
Confidence and Diversity for Active Selection of Feedback in Image Retrieval. BMVC 2017 - [c14]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: 1100-1110 - [c13]Nils Murrugarra-Llerena, Adriana Kovashka:
Learning Attributes from Human Gaze. WACV 2017: 510-519 - [c12]Debashis Ganguly, Mohammad H. Mofrad, Adriana Kovashka:
Detecting Sexually Provocative Images. WACV 2017: 660-668 - [i6]Zaeem Hussain, Mingda Zhang, Xiaozhong Zhang, Keren Ye, Christopher Thomas, Zuha Agha, Nathan Ong, Adriana Kovashka:
Automatic Understanding of Image and Video Advertisements. CoRR abs/1707.03067 (2017) - [i5]Keren Ye, Adriana Kovashka:
ADVISE: Symbolism and External Knowledge for Decoding Advertisements. CoRR abs/1711.06666 (2017) - 2016
- [j3]Adriana Kovashka, Olga Russakovsky, Li Fei-Fei, Kristen Grauman:
Crowdsourcing in Computer Vision. Found. Trends Comput. Graph. Vis. 10(3): 177-243 (2016) - [c11]Xinyue Huang, Adriana Kovashka:
Inferring Visual Persuasion via Body Language, Setting, and Deep Features. CVPR Workshops 2016: 778-784 - [c10]Christopher Thomas, Adriana Kovashka, Donald M. Chiarulli, Steven P. Levitan:
A Visual Attention Algorithm Designed for Coupled Oscillator Acceleration. CVPR Workshops 2016: 828-836 - [c9]Christopher Thomas, Adriana Kovashka:
Seeing Behind the Camera: Identifying the Authorship of a Photograph. CVPR 2016: 3494-3502 - [c8]Siqi Liu, Adriana Kovashka:
Adapting attributes by selecting features similar across domains. WACV 2016: 1-8 - [i4]Adriana Kovashka, Olga Russakovsky, Li Fei-Fei, Kristen Grauman:
Crowdsourcing in Computer Vision. CoRR abs/1611.02145 (2016) - 2015
- [j2]Adriana Kovashka, Kristen Grauman:
Discovering Attribute Shades of Meaning with the Crowd. Int. J. Comput. Vis. 114(1): 56-73 (2015) - [j1]Adriana Kovashka, Devi Parikh, Kristen Grauman:
WhittleSearch: Interactive Image Search with Relative Attribute Feedback. Int. J. Comput. Vis. 115(2): 185-210 (2015) - [i3]Adriana Kovashka, Kristen Grauman:
Discovering Attribute Shades of Meaning with the Crowd. CoRR abs/1505.04117 (2015) - [i2]Adriana Kovashka, Devi Parikh, Kristen Grauman:
WhittleSearch: Interactive Image Search with Relative Attribute Feedback. CoRR abs/1505.04141 (2015) - [i1]Christopher Thomas, Adriana Kovashka:
Who's Behind the Camera? Identifying the Authorship of a Photograph. CoRR abs/1508.05038 (2015) - 2013
- [c7]Adriana Kovashka, Kristen Grauman:
Attribute Pivots for Guiding Relevance Feedback in Image Search. ICCV 2013: 297-304 - [c6]Adriana Kovashka, Kristen Grauman:
Attribute Adaptation for Personalized Image Search. ICCV 2013: 3432-3439 - 2012
- [c5]Devi Parikh, Adriana Kovashka, Amar Parkash, Kristen Grauman:
Relative Attributes for Enhanced Human-Machine Communication. AAAI 2012: 2153-2159 - [c4]Adriana Kovashka, Devi Parikh, Kristen Grauman:
WhittleSearch: Image search with relative attribute feedback. CVPR 2012: 2973-2980 - 2011
- [c3]Adriana Kovashka, Sudheendra Vijayanarasimhan, Kristen Grauman:
Actively selecting annotations among objects and attributes. ICCV 2011: 1403-1410 - 2010
- [c2]Sindhu Raghavan, Adriana Kovashka, Raymond J. Mooney:
Authorship Attribution Using Probabilistic Context-Free Grammars. ACL (2) 2010: 38-42 - [c1]Adriana Kovashka, Kristen Grauman:
Learning a hierarchy of discriminative space-time neighborhood features for human action recognition. CVPR 2010: 2046-2053
Coauthor Index
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