Adriana Kovashka

134 papers A* 20A 17B 5Misc 1Journal 58Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generalizing Sports Feedback Generation by Watching Competitions and Reading Books: A Rock Climbing Case Study. CoRR Arushi Rai, Adriana Kovashka
2026	J	`jnl`	Learning Consistent Temporal Grounding between Related Tasks in Sports Coaching. CoRR Arushi Rai, Adriana Kovashka
2025	—	`conf`	A Multimodal Recaptioning Framework to Account for Perceptual Diversity Across Languages in Vision-Language Modeling. IJCNLP-AACL (long papers) Kyle Buettner, Jacob Emmerson, Adriana Kovashka
2025	J	`jnl`	A Multimodal Recaptioning Framework to Account for Perceptual Diversity in Multilingual Vision-Language Modeling. CoRR Kyle Buettner, Jacob Emmerson, Adriana Kovashka
2025	A	`conf`	Benchmarking VLMs' Reasoning About Persuasive Atypical Images. WACV Sina Malakouti, Aysan Aghazadeh, Ashmit Khandelwal, Adriana Kovashka
2025	—	`conf`	Beyond Static Measures: Temporal Analysis of Lexical Alignment in Human-Human Learning With a Teachable Robot. AIED (4) 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	J	`jnl`	Culture in Action: Evaluating Text-to-Image Models through Social Activities. CoRR Sina Malakouti, Boqing Gong, Adriana Kovashka
2025	—	`conf`	Enhancing Weakly-Supervised Object Detection on Static Images Through (Hallucinated) Motion. WACV (Workshops) Cagri Gungor, Adriana Kovashka
2025	Misc	`conf`	Integrating Audio Narrations to Strengthen Domain Generalization in Multimodal First-Person Action Recognition. ICASSP Cagri Gungor, Adriana Kovashka
2025	J	`jnl`	Investigating and Improving Counter-Stereotypical Action Relation in Text-to-Image Diffusion Models. CoRR Sina Malakouti, Adriana Kovashka
2025	J	`jnl`	Leveraging Large Models for Evaluating Novel Content: A Case Study on Advertisement Creativity. CoRR Zhaoyi Joey Hou, Adriana Kovashka, Xiang Lorraine Li
2025	A*	`conf`	Leveraging Large Models to Evaluate Novel Content: A Case Study on Advertisement Creativity. EMNLP Zhaoyi Joey Hou, Adriana Kovashka, Xiang Lorraine Li
2025	—	`conf`	Multi-party Lexical Alignment in Collaborative Learning with a Teachable Robot. AIED (6) Yuya Asano, Diane J. Litman, Paras Sharma, Daniel Fritsch, Quentin King-Shepard, Timothy Nokes-Malach, Adriana Kovashka, Erin Walker
2025	A*	`conf`	Probing Logical Reasoning of MLLMs in Scientific Diagrams. EMNLP Yufei Wang, Adriana Kovashka
2025	A	`conf`	Rubric-Constrained Figure Skating Scoring. WACV Arushi Rai, Adriana Kovashka
2025	—	`conf`	The Face of Persuasion: Analyzing Bias and Generating Culture-Aware Ads. EMNLP (Findings) Aysan Aghazadeh, Adriana Kovashka
2025	J	`jnl`	The Face of Persuasion: Analyzing Bias and Generating Culture-Aware Ads. CoRR Aysan Aghazadeh, Adriana Kovashka
2025	J	`jnl`	Towards Generalization of Tactile Image Generation: Reference-Free Evaluation in a Leakage-Free Setting. CoRR Cagri Gungor, Derek Eppinger, Adriana Kovashka
2025	—	`conf`	Towards Understanding Ambiguity Resolution in Multimodal Inference of Meaning. ICDL Yufei Wang, Adriana Kovashka, Loretta Fernández, Marc N. Coutanche, Seth Wiener
2025	J	`jnl`	Towards Understanding Ambiguity Resolution in Multimodal Inference of Meaning. CoRR Yufei Wang, Adriana Kovashka, Loretta Fernández, Marc N. Coutanche, Seth Wiener
2024	J	`jnl`	Benchmarking VLMs' Reasoning About Persuasive Atypical Images. CoRR Sina Malakouti, Aysan Aghazadeh, Ashmit Khandelwal, Adriana Kovashka
2024	A	`conf`	Boosting Weakly Supervised Object Detection using Fusion and Priors from Hallucinated Depth. WACV Cagri Gungor, Adriana Kovashka
2024	J	`jnl`	CAP: Evaluation of Persuasive and Creative Image Generation. CoRR Aysan Aghazadeh, Adriana Kovashka
2024	J	`jnl`	Enhancing Weakly-Supervised Object Detection on Static Images through (Hallucinated) Motion. CoRR Cagri Gungor, Adriana Kovashka
2024	—	`conf`	Image-caption difficulty for efficient weakly-supervised object detection from in-the-wild data. CVPR Workshops Giacomo Nebbia, Adriana Kovashka
2024	A*	`conf`	Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition. CVPR Kyle Buettner, Sina Malakouti, Xiang Lorraine Li, Adriana Kovashka
2024	J	`jnl`	Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition. CoRR Kyle Buettner, Sina Malakouti, Xiang Lorraine Li, Adriana Kovashka
2024	J	`jnl`	Integrating Audio Narrations to Strengthen Domain Generalization in Multimodal First-Person Action Recognition. CoRR Cagri Gungor, Adriana Kovashka
2024	A	`conf`	Investigating the Role of Attribute Context in Vision-Language Models for Object Recognition and Detection. WACV Kyle Buettner, Adriana Kovashka
2024	A*	`conf`	Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual Retrieval. EMNLP Kyle Buettner, Adriana Kovashka
2024	J	`jnl`	Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual Retrieval. CoRR Kyle Buettner, Adriana Kovashka
2024	—	`conf`	Strategies to Leverage Foundational Model Knowledge in Object Affordance Grounding. CVPR Workshops Arushi Rai, Kyle Buettner, Adriana Kovashka
2024	—	`conf`	Synonym relations affect object detection learned on vision-language data. NAACL-HLT (Findings) Giacomo Nebbia, Adriana Kovashka
2024	—	`conf`	Using Language-Aligned Gesture Embeddings for Understanding Gestures Accompanying Math Terms. CVPR Workshops Tristan Maidment, Purav J. Patel, Erin Walker, Adriana Kovashka
2024	—	`conf`	VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection. EACL (1) Arushi Rai, Adriana Kovashka
2024	J	`jnl`	What metrics of participation balance predict outcomes of collaborative learning with a robot? CoRR Yuya Asano, Diane J. Litman, Quentin King-Shepard, Tristan Maidment, Tyree Langley, Teresa Davison, Timothy Nokes-Malach, Adriana Kovashka, Erin Walker
2023	J	`jnl`	Boosting Weakly Supervised Object Detection using Fusion and Priors from Hallucinated Depth. CoRR Cagri Gungor, Adriana Kovashka
2023	A	`conf`	Complementary Cues from Audio Help Combat Noise in Weakly-Supervised Object Detection. WACV Cagri Gungor, Adriana Kovashka
2023	—	`conf`	Decoding Symbolism in Language Models. ACL (1) Meiqi Guo, Rebecca Hwa, Adriana Kovashka
2023	J	`jnl`	Enhancing the Role of Context in Region-Word Alignment for Object Detection. CoRR Kyle Buettner, Adriana Kovashka
2023	A	`conf`	How to Practice VQA on a Resource-limited Target Domain. WACV Mingda Zhang, Rebecca Hwa, Adriana Kovashka
2023	B	`conf`	Hypernymization of named entity-rich captions for grounding-based multi-modal pretraining. ICMR Giacomo Nebbia, Adriana Kovashka
2023	J	`jnl`	Hypernymization of named entity-rich captions for grounding-based multi-modal pretraining. CoRR Giacomo Nebbia, Adriana Kovashka
2023	—	`conf`	Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport. AIED (Posters/Late Breaking Results/...) Yuya Asano, Diane J. Litman, Mingzhi Yu, Nikki G. Lobczowski, Timothy Nokes-Malach, Adriana Kovashka, Erin Walker
2023	J	`jnl`	Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport. CoRR Yuya Asano, Diane J. Litman, Mingzhi Yu, Nikki G. Lobczowski, Timothy Nokes-Malach, Adriana Kovashka, Erin Walker
2023	—	`conf`	Improving language-supervised object detection with linguistic structure analysis. CVPR Workshops Arushi Rai, Adriana Kovashka
2023	J	`jnl`	Learning to Overcome Noise in Weak Caption Supervision for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. Mesut Erhan Unal, Keren Ye, Mingda Zhang, Christopher Thomas, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent
2023	A	`conf`	Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature Alignment. BMVC Sina Malakouti, Adriana Kovashka
2023	J	`jnl`	Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature Alignment. CoRR Sina Malakouti, Adriana Kovashka
2023	B	`conf`	Towards Shape-regularized Learning for Mitigating Texture Bias in CNNs. ICMR Harsh Sinha, Adriana Kovashka
2023	J	`jnl`	VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection. CoRR Arushi Rai, Adriana Kovashka
2023	J	`jnl`	Weakly-Supervised HOI Detection from Interaction Labels Only and Language/Vision-Language Priors. CoRR Mesut Erhan Unal, Adriana Kovashka
2022	B	`conf`	Building a Reinforcement Learning Environment from Limited Data to Optimize Teachable Robot Interventions. EDM Tristan Maidment, Mingzhi Yu, Nikki G. Lobczowski, Adriana Kovashka, Erin Walker, Diane J. Litman, Timothy Nokes-Malach
2022	A	`conf`	Characterizing User Susceptibility to COVID-19 Misinformation on Twitter. ICWSM Xian Teng, Yu-Ru Lin, Wen-Ting Chung, Ang Li, Adriana Kovashka
2022	B	`conf`	Comparison of Lexical Alignment with a Teachable Robot in Human-Robot and Human-Human-Robot Interactions. SIGDIAL Yuya Asano, Diane J. Litman, Mingzhi Yu, Nikki G. Lobczowski, Timothy Nokes-Malach, Adriana Kovashka, Erin Walker
2022	J	`jnl`	Comparison of Lexical Alignment with a Teachable Robot in Human-Robot and Human-Human-Robot Interactions. CoRR Yuya Asano, Diane J. Litman, Mingzhi Yu, Nikki G. Lobczowski, Timothy Nokes-Malach, Adriana Kovashka, Erin Walker
2022	J	`jnl`	Contrastive View Design Strategies to Enhance Robustness to Domain Shifts in Downstream Object Detection. CoRR Kyle Buettner, Adriana Kovashka
2022	—	`conf`	Doubling down: sparse grounding with an additional, almost-matching caption for detection-oriented multimodal pretraining. CVPR Workshops Giacomo Nebbia, Adriana Kovashka
2022	—	`conf`	Emphasizing Complementary Samples for Non-literal Cross-modal Retrieval. CVPR Workshops Christopher Thomas, Adriana Kovashka
2022	—	`conf`	It Takes Two: Examining the Effects of Collaborative Teaching of a Robot Learner. AIED (2) Christina Steele, Nikki G. Lobczowski, Teresa Davison, Mingzhi Yu, Michael S. Diamond, Adriana Kovashka, Diane J. Litman, Timothy Nokes-Malach, Erin Walker
2022	J	`jnl`	Symbolic image detection using scene and knowledge graphs. CoRR Nasrin Kalanat, Adriana Kovashka
2022	—	`conf`	The Role of Shape for Domain Generalization on Sparsely-Textured Images. CVPR Workshops Narges Honarvar Nazari, Adriana Kovashka
2022	—	`conf`	Visual Persuasion in COVID-19 Social Media Content: A Multi-Modal Characterization. WWW (Companion Volume) Mesut Erhan Unal, Adriana Kovashka, Wen-Ting Chung, Yu-Ru Lin
2022	—	`conf`	Weakly-Supervised Action Detection Guided by Audio Narration. CVPR Workshops Keren Ye, Adriana Kovashka
2022	J	`jnl`	Weakly-Supervised Action Detection Guided by Audio Narration. CoRR Keren Ye, Adriana Kovashka
2021	A*	`conf`	A Case Study of the Shortcut Effects in Visual Commonsense Reasoning. AAAI Keren Ye, Adriana Kovashka
2021	—	`conf`	BasisNet: Two-Stage Model Synthesis for Efficient Inference. CVPR Workshops Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov, Andrew Howard, Brendan Jou, Yukun Zhu, Li Zhang, Rebecca Hwa, Adriana Kovashka
2021	J	`jnl`	BasisNet: Two-stage Model Synthesis for Efficient Inference. CoRR Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov, Andrew G. Howard, Brendan Jou, Yukun Zhu, Li Zhang, Rebecca Hwa, Adriana Kovashka
2021	A	`conf`	Breaking Shortcuts by Masking for Robust Visual Reasoning. WACV Keren Ye, Mingda Zhang, Adriana Kovashka
2021	J	`jnl`	Characterizing User Susceptibility to COVID-19 Misinformation on Twitter. CoRR Xian Teng, Yu-Ru Lin, Wen-Ting Chung, Ang Li, Adriana Kovashka
2021	A*	`conf`	Detecting Persuasive Atypicality by Modeling Contextual Compatibility. ICCV Meiqi Guo, Rebecca Hwa, Adriana Kovashka
2021	A*	`conf`	Domain-Robust VQA With Diverse Datasets and Methods but No Target Labels. CVPR Mingda Zhang, Tristan Maidment, Ahmad Diab, Adriana Kovashka, Rebecca Hwa
2021	J	`jnl`	Domain-robust VQA with diverse datasets and methods but no target labels. CoRR Mingda Zhang, Tristan Maidment, Ahmad Diab, Adriana Kovashka, Rebecca Hwa
2021	J	`jnl`	Exploring Corruption Robustness: Inductive Biases in Vision Transformers and MLP-Mixers. CoRR Katelyn Morrison, Benjamin Gilby, Colton Lipchak, Adam Mattioli, Adriana Kovashka
2021	J	`jnl`	Image retrieval with mixed initiative and multimodal feedback. Comput. Vis. Image Underst. Nils Murrugarra-Llerena, Adriana Kovashka
2021	J	`jnl`	Interpreting the Rhetoric of Visual Advertisements. IEEE Trans. Pattern Anal. Mach. Intell. Keren Ye, Narges Honarvar Nazari, James Hahn, Zaeem Hussain, Mingda Zhang, Adriana Kovashka
2021	A*	`conf`	Linguistic Structures As Weak Supervision for Visual Scene Graph Generation. CVPR Keren Ye, Adriana Kovashka
2021	J	`jnl`	Linguistic Structures as Weak Supervision for Visual Scene Graph Generation. CoRR Keren Ye, Adriana Kovashka
2021	J	`jnl`	Predicting Visual Political Bias Using Webly Supervised Data and an Auxiliary Task. Int. J. Comput. Vis. Christopher Thomas, Adriana Kovashka
2021	J	`jnl`	SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. CoRR Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew Howard, Marco Fornoni
2021	J	`jnl`	Visual Persuasion in COVID-19 Social Media Content: A Multi-Modal Characterization. CoRR Mesut Erhan Unal, Adriana Kovashka, Wen-Ting Chung, Yu-Ru Lin
2020	—	`conf`	Classifying Nuclei Shape Heterogeneity in Breast Tumors with Skeletons. ECCV Workshops (1) Brian Falkenstein, Adriana Kovashka, Seong Jae Hwang, S. Chakra Chennubhotla
2020	B	`conf`	Context for Object Detection via Lightweight Global and Mid-level Representations. ICPR Mesut Erhan Unal, Adriana Kovashka
2020	—	`conf`	Domain Generalization Using Shape Representation. ECCV Workshops (1) Narges Honarvar Nazari, Adriana Kovashka
2020	J	`jnl`	Learning to Transfer Visual Effects from Videos to Images. CoRR Christopher Thomas, Yale Song, Adriana Kovashka
2020	—	`conf`	Preserving Semantic Neighborhoods for Robust Cross-Modal Retrieval. ECCV (18) Christopher Thomas, Adriana Kovashka
2020	J	`jnl`	Preserving Semantic Neighborhoods for Robust Cross-modal Retrieval. CoRR Christopher Thomas, Adriana Kovashka
2020	—	`conf`	SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. ACCV (6) Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew G. Howard, Marco Fornoni
2020	—	`conf`	SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. ECCV Workshops (1) Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew G. Howard, Marco Fornoni
2020	—	`conf`	Story Completion with Explicit Modeling of Commonsense Knowledge. CVPR Workshops Mingda Zhang, Keren Ye, Rebecca Hwa, Adriana Kovashka
2020	—	`conf`	Syntharch: Interactive Image Search with Attribute-Conditioned Synthesis. CVPR Workshops Zac Yu, Adriana Kovashka
2019	A*	`conf`	Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection. ICCV Keren Ye, Mingda Zhang, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent
2019	J	`jnl`	Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection. CoRR Keren Ye, Mingda Zhang, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent
2019	A*	`conf`	Cross-Modality Personalization for Retrieval. CVPR Nils Murrugarra-Llerena, Adriana Kovashka
2019	J	`jnl`	Measuring Effectiveness of Video Advertisements. CoRR James Hahn, Adriana Kovashka
2019	A*	`conf`	Predicting the Politics of an Image Using Webly Supervised Data. NeurIPS Christopher Thomas, Adriana Kovashka
2019	J	`jnl`	Predicting the Politics of an Image Using Webly Supervised Data. CoRR Christopher Thomas, Adriana Kovashka
2018	—	`conf`	ADVISE: Symbolism and External Knowledge for Decoding Advertisements. ECCV (15) Keren Ye, Adriana Kovashka
2018	—	`conf`	Artistic Object Recognition by Unsupervised Style Adaptation. ACCV (3) Christopher Thomas, Adriana Kovashka
2018	J	`jnl`	Artistic Object Recognition by Unsupervised Style Adaptation. CoRR Christopher Thomas, Adriana Kovashka
2018	A*	`conf`	Asking Friendly Strangers: Non-Semantic Attribute Transfer. AAAI Nils Murrugarra-Llerena, Adriana Kovashka
2018	A	`conf`	Equal But Not The Same: Understanding the Implicit Relationship Between Persuasive Images and Text. BMVC Mingda Zhang, Rebecca Hwa, Adriana Kovashka
2018	J	`jnl`	Equal But Not The Same: Understanding the Implicit Relationship Between Persuasive Images and Text. CoRR Mingda Zhang, Rebecca Hwa, Adriana Kovashka
2018	A	`conf`	Image Retrieval with Mixed Initiative and Multimodal Feedback. BMVC Nils Murrugarra-Llerena, Adriana Kovashka
2018	J	`jnl`	Image Retrieval with Mixed Initiative and Multimodal Feedback. CoRR Nils Murrugarra-Llerena, Adriana Kovashka
2018	J	`jnl`	Learning to discover and localize visual objects with open vocabulary. CoRR Keren Ye, Mingda Zhang, Wei Li, Danfeng Qin, Adriana Kovashka, Jesse Berent
2018	A	`conf`	Persuasive Faces: Generating Faces in Advertisements. BMVC Christopher Thomas, Adriana Kovashka
2018	J	`jnl`	Persuasive Faces: Generating Faces in Advertisements. CoRR Christopher Thomas, Adriana Kovashka
2018	A	`conf`	Story Understanding in Video Advertisements. BMVC Keren Ye, Kyle Buettner, Adriana Kovashka
2018	J	`jnl`	Story Understanding in Video Advertisements. CoRR Keren Ye, Kyle Buettner, Adriana Kovashka
2017	J	`jnl`	ADVISE: Symbolism and External Knowledge for Decoding Advertisements. CoRR Keren Ye, Adriana Kovashka
2017	A*	`conf`	Automatic Understanding of Image and Video Advertisements. CVPR Zaeem Hussain, Mingda Zhang, Xiaozhong Zhang, Keren Ye, Christopher Thomas, Zuha Agha, Nathan Ong, Adriana Kovashka
2017	J	`jnl`	Automatic Understanding of Image and Video Advertisements. CoRR Zaeem Hussain, Mingda Zhang, Xiaozhong Zhang, Keren Ye, Christopher Thomas, Zuha Agha, Nathan Ong, Adriana Kovashka
2017	A	`conf`	Confidence and Diversity for Active Selection of Feedback in Image Retrieval. BMVC Bhavin Modi, Adriana Kovashka
2017	A	`conf`	Detecting Sexually Provocative Images. WACV Debashis Ganguly, Mohammad H. Mofrad, Adriana Kovashka
2017	A	`conf`	Learning Attributes from Human Gaze. WACV Nils Murrugarra-Llerena, Adriana Kovashka
2016	—	`conf`	A Visual Attention Algorithm Designed for Coupled Oscillator Acceleration. CVPR Workshops Christopher Thomas, Adriana Kovashka, Donald M. Chiarulli, Steven P. Levitan
2016	A	`conf`	Adapting attributes by selecting features similar across domains. WACV Siqi Liu, Adriana Kovashka
2016	J	`jnl`	Crowdsourcing in Computer Vision. CoRR Adriana Kovashka, Olga Russakovsky, Li Fei-Fei, Kristen Grauman
2016	J	`jnl`	Crowdsourcing in Computer Vision. Found. Trends Comput. Graph. Vis. Adriana Kovashka, Olga Russakovsky, Li Fei-Fei, Kristen Grauman
2016	—	`conf`	Inferring Visual Persuasion via Body Language, Setting, and Deep Features. CVPR Workshops Xinyue Huang, Adriana Kovashka
2016	A*	`conf`	Seeing Behind the Camera: Identifying the Authorship of a Photograph. CVPR Christopher Thomas, Adriana Kovashka
2015	J	`jnl`	Discovering Attribute Shades of Meaning with the Crowd. CoRR Adriana Kovashka, Kristen Grauman
2015	J	`jnl`	Discovering Attribute Shades of Meaning with the Crowd. Int. J. Comput. Vis. Adriana Kovashka, Kristen Grauman
2015	J	`jnl`	WhittleSearch: Interactive Image Search with Relative Attribute Feedback. CoRR Adriana Kovashka, Devi Parikh, Kristen Grauman
2015	J	`jnl`	WhittleSearch: Interactive Image Search with Relative Attribute Feedback. Int. J. Comput. Vis. Adriana Kovashka, Devi Parikh, Kristen Grauman
2015	J	`jnl`	Who's Behind the Camera? Identifying the Authorship of a Photograph. CoRR Christopher Thomas, Adriana Kovashka
2013	A*	`conf`	Attribute Adaptation for Personalized Image Search. ICCV Adriana Kovashka, Kristen Grauman
2013	A*	`conf`	Attribute Pivots for Guiding Relevance Feedback in Image Search. ICCV Adriana Kovashka, Kristen Grauman
2012	A*	`conf`	Relative Attributes for Enhanced Human-Machine Communication. AAAI Devi Parikh, Adriana Kovashka, Amar Parkash, Kristen Grauman
2012	A*	`conf`	WhittleSearch: Image search with relative attribute feedback. CVPR Adriana Kovashka, Devi Parikh, Kristen Grauman
2011	A*	`conf`	Actively selecting annotations among objects and attributes. ICCV Adriana Kovashka, Sudheendra Vijayanarasimhan, Kristen Grauman
2010	—	`conf`	Authorship Attribution Using Probabilistic Context-Free Grammars. ACL (2) Sindhu Raghavan, Adriana Kovashka, Raymond J. Mooney
2010	A*	`conf`	Learning a hierarchy of discriminative space-time neighborhood features for human action recognition. CVPR Adriana Kovashka, Kristen Grauman