Kovashka, Adriana

45 publications

WACV 2025 Benchmarking VLMs' Reasoning About Persuasive Atypical Images Sina Malakouti, Aysan Aghazadeh, Ashmit Khandelwal, Adriana Kovashka

ICCV 2025 CAP: Evaluation of Persuasive and Creative Image Generation Aysan Aghazadeh, Adriana Kovashka

NeurIPS 2025 Role Bias in Diffusion Models: Diagnosing and Mitigating Through Intermediate Decomposition Sina Malakouti, Adriana Kovashka

WACV 2025 Rubric-Constrained Figure Skating Scoring Arushi Rai, Adriana Kovashka

WACV 2024 Boosting Weakly Supervised Object Detection Using Fusion and Priors from Hallucinated Depth Cagri Gungor, Adriana Kovashka

CVPRW 2024 Image-Caption Difficulty for Efficient Weakly-Supervised Object Detection from In-the-Wild Data Giacomo Nebbia, Adriana Kovashka

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

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

CVPRW 2024 Strategies to Leverage Foundational Model Knowledge in Object Affordance Grounding Arushi Rai, Kyle Buettner, Adriana Kovashka

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

WACV 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

CVPRW 2023 Improving Language-Supervised Object Detection with Linguistic Structure Analysis Arushi Rai, Adriana Kovashka

CVPRW 2022 Doubling Down: Sparse Grounding with an Additional, Almost-Matching Caption for Detection-Oriented Multimodal Pretraining Giacomo Nebbia, Adriana Kovashka

CVPRW 2022 Emphasizing Complementary Samples for Non-Literal Cross-Modal Retrieval Christopher Thomas, Adriana Kovashka

CVPRW 2022 The Role of Shape for Domain Generalization on Sparsely-Textured Images Narges Honarvar Nazari, Adriana Kovashka

CVPRW 2022 Weakly-Supervised Action Detection Guided by Audio Narration Keren Ye, Adriana Kovashka

AAAI 2021 A Case Study of the Shortcut Effects in Visual Commonsense Reasoning Keren Ye, Adriana Kovashka

CVPRW 2021 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

WACV 2021 Breaking Shortcuts by Masking for Robust Visual Reasoning Keren Ye, Mingda Zhang, Adriana Kovashka

ICCV 2021 Detecting Persuasive Atypicality by Modeling Contextual Compatibility Meiqi Guo, Rebecca Hwa, Adriana Kovashka

CVPR 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 Linguistic Structures as Weak Supervision for Visual Scene Graph Generation Keren Ye, Adriana Kovashka

ECCVW 2020 Classifying Nuclei Shape Heterogeneity in Breast Tumors with Skeletons Brian Falkenstein, Adriana Kovashka, Seong Jae Hwang, S. Chakra Chennubhotla

ECCVW 2020 Domain Generalization Using Shape Representation Narges Honarvar Nazari, Adriana Kovashka

ECCV 2020 Preserving Semantic Neighborhoods for Robust Cross-Modal Retrieval Christopher Thomas, Adriana Kovashka

ECCVW 2020 SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew G. Howard, Marco Fornoni

CVPRW 2020 Story Completion with Explicit Modeling of Commonsense Knowledge Mingda Zhang, Keren Ye, Rebecca Hwa, Adriana Kovashka

CVPRW 2020 Syntharch: Interactive Image Search with Attribute-Conditioned Synthesis Zac Yu, Adriana Kovashka

NeurIPS 2019 Predicting the Politics of an Image Using Webly Supervised Data Christopher Thomas, Adriana Kovashka

ECCV 2018 ADVISE: Symbolism and External Knowledge for Decoding Advertisements Keren Ye, Adriana Kovashka

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

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

WACV 2017 Detecting Sexually Provocative Images Debashis Ganguly, Mohammad H. Mofrad, Adriana Kovashka

WACV 2017 Learning Attributes from Human Gaze Nils Murrugarra-Llerena, Adriana Kovashka

CVPRW 2016 A Visual Attention Algorithm Designed for Coupled Oscillator Acceleration Christopher Thomas, Adriana Kovashka, Donald M. Chiarulli, Steven P. Levitan

WACV 2016 Adapting Attributes by Selecting Features Similar Across Domains Siqi Liu, Adriana Kovashka

CVPRW 2016 Inferring Visual Persuasion via Body Language, Setting, and Deep Features Xinyue Huang, Adriana Kovashka

CVPR 2016 Seeing Behind the Camera: Identifying the Authorship of a Photograph Christopher Thomas, Adriana Kovashka

ICCV 2013 Attribute Adaptation for Personalized Image Search Adriana Kovashka, Kristen Grauman

ICCV 2013 Attribute Pivots for Guiding Relevance Feedback in Image Search Adriana Kovashka, Kristen Grauman

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

CVPR 2012 WhittleSearch: Image Search with Relative Attribute Feedback Adriana Kovashka, Devi Parikh, Kristen Grauman

ICCV 2011 Actively Selecting Annotations Among Objects and Attributes Adriana Kovashka, Sudheendra Vijayanarasimhan, Kristen Grauman

CVPR 2010 Learning a Hierarchy of Discriminative Space-Time Neighborhood Features for Human Action Recognition Adriana Kovashka, Kristen Grauman