Solving VIsual Madlibs with Multiple Cues. - Tatiana Tommasi; Arun Mallya; Bryan A. Plummer; Svetlana Lazebnik; Alexander C. Berg; Tamara L. Berg (BMVC, 2016)

Visual Analogies: A Framework for Defining Aspect Categorization. - P. Daphne Tsatsoulis; Bryan A. Plummer; David A. Forsyth (ECCV Workshops (3), 2016)

Phrase Localization and Visual Relationship Detection with Comprehensive Linguistic Cues. - Bryan A. Plummer; Arun Mallya; Christopher M. Cervantes; Julia Hockenmaier; Svetlana Lazebnik (CoRR, 2016)

Enhancing Video Summarization via Vision-Language Embedding. - Bryan A. Plummer; Matthew Brown 001; Svetlana Lazebnik (CVPR, 2017)

Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues. - Bryan A. Plummer; Arun Mallya; Christopher M. Cervantes; Julia Hockenmaier; Svetlana Lazebnik (ICCV, 2017)

Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models. - Bryan A. Plummer; Liwei Wang 009; Chris M. Cervantes; Juan C. Caicedo; Julia Hockenmaier; Svetlana Lazebnik (Int. J. Comput. Vis., 2017)

Conditional Image-Text Embedding Networks. - Bryan A. Plummer; Paige Kordas; M. Hadi Kiapour; Shuai Zheng 004; Robinson Piramuthu; Svetlana Lazebnik (ECCV (12), 2018)

Learning Type-Aware Embeddings for Fashion Compatibility. - Mariya I. Vasileva; Bryan A. Plummer; Krishna Dusad; Shreya Rajpal; Ranjitha Kumar; David A. Forsyth (ECCV (16), 2018)

Open-vocabulary Phrase Detection. - Bryan A. Plummer; Kevin J. Shih; Yichen Li; Ke Xu; Svetlana Lazebnik; Stan Sclaroff; Kate Saenko (CoRR, 2018)

Grounding natural language phrases in images and video - Bryan A. Plummer (2018)

Multilevel Language and Vision Integration for Text-to-Clip Retrieval. - Huijuan Xu 001; Kun He 003; Bryan A. Plummer; Leonid Sigal; Stan Sclaroff; Kate Saenko (AAAI, 2019)

Language Features Matter: Effective Language Representations for Vision-Language Tasks. - Andrea Burns; Reuben Tan; Kate Saenko; Stan Sclaroff; Bryan A. Plummer (ICCV, 2019)

Learning Similarity Conditions Without Explicit Supervision. - Reuben Tan; Mariya I. Vasileva; Kate Saenko; Bryan A. Plummer (ICCV, 2019)

Give Me a Hint! Navigating Image Databases Using Human-in-the-Loop Feedback. - Bryan A. Plummer; M. Hadi Kiapour; Shuai Zheng 004; Robinson Piramuthu (WACV, 2019)

wMAN: Weakly-supervised Moment Alignment Network for Text-based Video Segment Retrieval. - Reuben Tan; Huijuan Xu 001; Kate Saenko; Bryan A. Plummer (CoRR, 2019)

Combining Multiple Cues for Visual Madlibs Question Answering. - Tatiana Tommasi; Arun Mallya; Bryan A. Plummer; Svetlana Lazebnik; Alexander C. Berg; Tamara L. Berg (Int. J. Comput. Vis., 2019)

MULE: Multimodal Universal Language Embedding. - Donghyun Kim 006; Kuniaki Saito; Kate Saenko; Stan Sclaroff; Bryan A. Plummer (AAAI, 2020)

Learning to Scale Multilingual Representations for Vision-Language Tasks. - Andrea Burns; Donghyun Kim 006; Derry Wijaya; Kate Saenko; Bryan A. Plummer (ECCV (4), 2020)

Why Do These Match? Explaining the Behavior of Image Similarity Models. - Bryan A. Plummer; Mariya I. Vasileva; Vitali Petsiuk; Kate Saenko; David A. Forsyth (ECCV (11), 2020)

Detecting Cross-Modal Inconsistency to Defend Against Neural Fake News. - Reuben Tan; Bryan A. Plummer; Kate Saenko (EMNLP (1), 2020)

Multi-Task Learning from Videos via Efficient Inter-Frame Attention. - Donghyun Kim 006; Tian Lan; Chuhang Zou; Ning Xu; Bryan A. Plummer; Stan Sclaroff; Jayan Eledath; Gérard G. Medioni (CoRR, 2020)

Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels. - Donghyun Kim 006; Kuniaki Saito; Tae-Hyun Oh; Bryan A. Plummer; Stan Sclaroff; Kate Saenko (CoRR, 2020)

Shapeshifter Networks: Cross-layer Parameter Sharing for Scalable and Effective Deep Learning. - Bryan A. Plummer; Nikoli Dryden; Julius Frost; Torsten Hoefler; Kate Saenko (CoRR, 2020)

Self-supervised Visual Attribute Learning for Fashion Compatibility. - Donghyun Kim 006; Kuniaki Saito; Kate Saenko; Stan Sclaroff; Bryan A. Plummer (CoRR, 2020)

Effectively Leveraging Attributes for Visual Similarity. - Samarth Mishra; Zhongping Zhang; Yuan Shen 001; Ranjitha Kumar; Venkatesh Saligrama; Bryan A. Plummer (CVPR Workshops, 2021)

CDS: Cross-Domain Self-supervised Pre-training. - Donghyun Kim 006; Kuniaki Saito; Tae-Hyun Oh; Bryan A. Plummer; Stan Sclaroff; Kate Saenko (ICCV, 2021)

MILA: Multi-Task Learning from Videos via Efficient Inter-Frame Attention. - Donghyun Kim 006; Tian Lan; Chuhang Zou; Ning Xu; Bryan A. Plummer; Stan Sclaroff; Jayan Eledath; Gérard G. Medioni (ICCVW, 2021)

Self-supervised Visual Attribute Learning for Fashion Compatibility. - Donghyun Kim 006; Kuniaki Saito; Samarth Mishra; Stan Sclaroff; Kate Saenko; Bryan A. Plummer (ICCVW, 2021)

Look at What I'm Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos. - Reuben Tan; Bryan A. Plummer; Kate Saenko; Hailin Jin; Bryan C. Russell (NeurIPS, 2021)

LoGAN: Latent Graph Co-Attention Network for Weakly-Supervised Video Moment Retrieval. - Reuben Tan; Huijuan Xu 001; Kate Saenko; Bryan A. Plummer (WACV, 2021)

Mobile App Tasks with Iterative Feedback (MoTIF): Addressing Task Feasibility in Interactive Visual Environments. - Andrea Burns; Deniz Arsan; Sanjna Agrawal; Ranjitha Kumar; Kate Saenko; Bryan A. Plummer (CoRR, 2021)

Anchoring to Exemplars for Training Mixture-of-Expert Cell Embeddings. - Siqi Wang; Manyuan Lu; Nikita Moshkov; Juan C. Caicedo; Bryan A. Plummer (CoRR, 2021)

Learning to Reason from General Concepts to Fine-grained Tokens for Discriminative Phrase Detection. - Maan Qraitem; Bryan A. Plummer (CoRR, 2021)

Show and Write: Entity-aware News Generation with Image Information. - Zhongping Zhang; Yiwen Gu; Bryan A. Plummer (CoRR, 2021)

A Dataset for Interactive Vision-Language Navigation with Unknown Command Feasibility. - Andrea Burns; Deniz Arsan; Sanjna Agrawal; Ranjitha Kumar; Kate Saenko; Bryan A. Plummer (ECCV (8), 2022)

Supervised Attribute Information Removal and Reconstruction for Image Manipulation. - Nannan Li 004; Bryan A. Plummer (ECCV (17), 2022)

NewsStories: Illustrating Articles with Visual Summaries. - Reuben Tan; Bryan A. Plummer; Kate Saenko; J. P. Lewis 001; Avneesh Sud; Thomas Leung (ECCV (36), 2022)

Neural Parameter Allocation Search. - Bryan A. Plummer; Nikoli Dryden; Julius Frost; Torsten Hoefler; Kate Saenko (ICLR, 2022)

Explaining Reinforcement Learning Policies through Counterfactual Trajectories. - Julius Frost; Olivia Watkins; Eric Weiner; Pieter Abbeel; Trevor Darrell; Bryan A. Plummer; Kate Saenko (CoRR, 2022)

Interactive Mobile App Navigation with Uncertain or Under-specified Natural Language Commands. - Andrea Burns; Deniz Arsan; Sanjna Agrawal; Ranjitha Kumar; Kate Saenko; Bryan A. Plummer (CoRR, 2022)

Semantic Image Manipulation with Background-guided Internal Learning. - Zhongping Zhang; Huiwen He; Bryan A. Plummer; Zhenyu Liao; Huayan Wang (CoRR, 2022)

Effectively leveraging Multi-modal Features for Movie Genre Classification. - Zhongping Zhang; Yiwen Gu; Bryan A. Plummer; Xin Miao; Jiayi Liu; Huayan Wang (CoRR, 2022)

Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark. - Vitali Petsiuk; Alexander E. Siemenn; Saisamrit Surbehera; Zad Chin; Keith Tyser; Gregory Hunter; Arvind Raghavan; Yann Hicke; Bryan A. Plummer; Ori Kerret; Tonio Buonassisi; Kate Saenko; et al. (CoRR, 2022)

Revisiting Image-Language Networks for Open-Ended Phrase Detection. - Bryan A. Plummer; Kevin J. Shih; Yichen Li; Ke Xu; Svetlana Lazebnik; Stan Sclaroff; Kate Saenko (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Complex Scene Image Editing by Scene Graph Comprehension. - Zhongping Zhang; Huiwen He; Bryan A. Plummer; Zhenyu Liao; Huayan Wang (BMVC, 2023)

Bias Mimicking: A Simple Sampling Approach for Bias Mitigation. - Maan Qraitem; Kate Saenko; Bryan A. Plummer (CVPR, 2023)

Language-Guided Audio-Visual Source Separation via Trimodal Consistency. - Reuben Tan; Arijit Ray; Andrea Burns; Bryan A. Plummer; Justin Salamon; Oriol Nieto; Bryan C. Russell; Kate Saenko (CVPR, 2023)

A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding. - Andrea Burns; Krishna Srinivasan; Joshua Ainslie; Geoff Brown; Bryan A. Plummer; Kate Saenko; Jianmo Ni; Mandy Guo (EMNLP, 2023)

Show, Write, and Retrieve: Entity-aware Article Generation and Retrieval. - Zhongping Zhang; Yiwen Gu; Bryan A. Plummer (EMNLP (Findings), 2023)

Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer by Permuting Textures. - Nannan Li 004; Kevin J. Shih; Bryan A. Plummer (ICCV, 2023)

CHAMMI: A benchmark for channel-adaptive models in microscopy imaging. - Zitong Sam Chen; Chau Pham 001; Siqi Wang; Michael Doron; Nikita Moshkov; Bryan A. Plummer; Juan C. Caicedo (NeurIPS, 2023)

Cola: A Benchmark for Compositional Text-to-image Retrieval. - Arijit Ray; Filip Radenovic; Abhimanyu Dubey; Bryan A. Plummer; Ranjay Krishna; Kate Saenko (NeurIPS, 2023)

COLA: How to adapt vision-language models to Compose Objects Localized with Attributes? - Arijit Ray; Filip Radenovic; Abhimanyu Dubey; Bryan A. Plummer; Ranjay Krishna; Kate Saenko (CoRR, 2023)

WikiWeb2M: A Page-Level Multimodal Wikipedia Dataset. - Andrea Burns; Krishna Srinivasan; Joshua Ainslie; Geoff Brown; Bryan A. Plummer; Kate Saenko; Jianmo Ni; Mandy Guo (CoRR, 2023)

LNL+K: Learning with Noisy Labels and Noise Source Distribution Knowledge. - Siqi Wang; Bryan A. Plummer (CoRR, 2023)

Multiscale Video Pretraining for Long-Term Activity Forecasting. - Reuben Tan; Matthias De Lange; Michael L. Iuzzolino; Bryan A. Plummer; Kate Saenko; Karl Ridgeway; Lorenzo Torresani (CoRR, 2023)

From Fake to Real (FFR): A two-stage training pipeline for mitigating spurious correlations with synthetic data. - Maan Qraitem; Kate Saenko; Bryan A. Plummer (CoRR, 2023)

Socratis: Are large multimodal models emotionally aware? - Katherine Deng; Arijit Ray; Reuben Tan; Saadia Gabriel; Bryan A. Plummer; Kate Saenko (CoRR, 2023)

A Unified Framework for Connecting Noise Modeling to Boost Noise Detection. - Siqi Wang; Chau Pham 001; Bryan A. Plummer (CoRR, 2023)

CLAMP: Contrastive LAnguage Model Prompt-tuning. - Piotr Teterwak; Ximeng Sun; Bryan A. Plummer; Kate Saenko; Ser-Nam Lim (CoRR, 2023)

Tell Me What's Next: Textual Foresight for Generic UI Representations. - Andrea Burns; Kate Saenko; Bryan A. Plummer (ACL (Findings), 2024)

Machine-Generated Text Localization. - Zhongping Zhang; Wenda Qin; Bryan A. Plummer (ACL (Findings), 2024)

UniHuman: A Unified Model For Editing Human Images in the Wild. - Nannan Li 004; Qing Liu 017; Krishna Kumar Singh; Yilin Wang 002; Jianming Zhang 001; Bryan A. Plummer; Zhe Lin 001 (CVPR, 2024)

Koala: Key Frame-Conditioned Long Video-LLM. - Reuben Tan; Ximeng Sun; Ping Hu 001; Jui-Hsien Wang; Hanieh Deilamsalehy; Bryan A. Plummer; Bryan C. Russell; Kate Saenko (CVPR, 2024)

PanoFree: Tuning-Free Holistic Multi-view Image Generation with Cross-View Self-guidance. - Aoming Liu; Zhong Li; Zhang Chen; Nannan Li 004; Yi Xu 002; Bryan A. Plummer (ECCV (27), 2024)

From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition. - Maan Qraitem; Kate Saenko; Bryan A. Plummer (ECCV (58), 2024)

LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration. - Siqi Wang; Bryan A. Plummer (ECCV (61), 2024)

Let Models Speak Ciphers: Multiagent Debate through Embeddings. - Chau Pham 001; Boyi Liu 001; Yingxiang Yang; Zhengyu Chen 001; Tianyi Liu; Jianbo Yuan; Bryan A. Plummer; Zhaoran Wang 001; Hongxia Yang (ICLR, 2024)

Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers. - Chau Pham; Bryan A. Plummer (NeurIPS, 2024)

Multimodal Representation and Retrieval [MRR 2024]. - Xinliang Zhu; Arnab Dhua; Douglas Gray 001; I. Zeki Yalniz; Tan Yu; Mohamed Elhoseiny; Bryan A. Plummer (SIGIR, 2024)

MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters. - Chau Pham 001; Piotr Teterwak; Soren Nelson; Bryan A. Plummer (WACV, 2024)

Learning to Compose SuperWeights for Neural Parameter Allocation Search. - Piotr Teterwak; Soren Nelson; Nikoli Dryden; Dina Bashkirova; Kate Saenko; Bryan A. Plummer (WACV, 2024)

Movie Genre Classification by Language Augmentation and Shot Sampling. - Zhongping Zhang; Yiwen Gu; Bryan A. Plummer; Xin Miao; Jiayi Liu; Huayan Wang (WACV, 2024)

Text-to-image Editing by Image Information Removal. - Zhongping Zhang; Jian Zheng; Jacob Zhiyuan Fang; Bryan A. Plummer (WACV, 2024)

Vision-LLMs Can Fool Themselves with Self-Generated Typographic Attacks. - Maan Qraitem; Nazia Tasnim; Piotr Teterwak; Kate Saenko; Bryan A. Plummer (CoRR, 2024)

Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers. - Chau Pham 001; Bryan A. Plummer (CoRR, 2024)

SLANT: Spurious Logo ANalysis Toolkit. - Maan Qraitem; Piotr Teterwak; Kate Saenko; Bryan A. Plummer (CoRR, 2024)

SAT: Spatial Aptitude Training for Multimodal Language Models. - Arijit Ray; Jiafei Duan; Reuben Tan; Dina Bashkirova; Rose Hendrix; Kiana Ehsani; Aniruddha Kembhavi; Bryan A. Plummer; Ranjay Krishna; Kuo-Hao Zeng; Kate Saenko (CoRR, 2024)

OP-LoRA: The Blessing of Dimensionality. - Piotr Teterwak; Kate Saenko; Bryan A. Plummer; Ser-Nam Lim (CoRR, 2024)

Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling. - Nannan Li 004; Kevin J. Shih; Bryan A. Plummer (CVPR, 2025)

RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks. - Nazia Tasnim; Bryan A. Plummer (ICLR, 2025)

Is Large-scale Pretraining the Secret to Good Domain Generalization? - Piotr Teterwak; Kuniaki Saito; Theodoros Tsiligkaridis; Bryan A. Plummer; Kate Saenko (ICLR, 2025)

ERM++: An Improved Baseline for Domain Generalization. - Piotr Teterwak; Kuniaki Saito; Theodoros Tsiligkaridis; Kate Saenko; Bryan A. Plummer (WACV, 2025)

Web Artifact Attacks Disrupt Vision Language Models. - Maan Qraitem; Piotr Teterwak; Kate Saenko; Bryan A. Plummer (CoRR, 2025)

ChA-MAEViT: Unifying Channel-Aware Masked Autoencoders and Multi-Channel Vision Transformers for Improved Cross-Channel Learning. - Chau Pham 001; Juan C. Caicedo; Bryan A. Plummer (CoRR, 2025)

Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization. - Siqi Wang; Aoming Liu; Bryan A. Plummer (CoRR, 2025)

Right Side Up? Disentangling Orientation Understanding in MLLMs with Fine-grained Multi-axis Perception Tasks. - Keanu Nichols; Nazia Tasnim; Yuting Yan; Nicholas Ikechukwu; Elva Zou; Deepti Ghadiyaram; Bryan A. Plummer (CoRR, 2025)

Beyond Token Pruning: Operation Pruning in Vision-Language Models. - Aoming Liu; Reuben Tan; Boqing Gong; Bryan A. Plummer (CoRR, 2025)