Plummer, Bryan A.

39 publications

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

CVPR 2025 Enhancing Virtual Try-on with Synthetic Pairs and Error-Aware Noise Scheduling Nannan Li, Kevin J. Shih, 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 RECAST: Reparameterized, Compact Weight Adaptation for Sequential Tasks Nazia Tasnim, Bryan A. Plummer

ICCV 2025 Web Artifact Attacks Disrupt Vision Language Models Maan Qraitem, Piotr Teterwak, Kate Saenko, Bryan A. Plummer

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

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

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

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

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

WACV 2024 MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters Chau Pham, Piotr Teterwak, Soren Nelson, 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, Zhiyuan Fang, Bryan A. Plummer

CVPR 2024 UniHuman: A Unified Model for Editing Human Images in the Wild Nannan Li, Qing Liu, Krishna Kumar Singh, Yilin Wang, Jianming Zhang, Bryan A. Plummer, Zhe Lin

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

ICCV 2023 Collecting the Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer by Permuting Textures Nannan Li, Kevin J Shih, 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 Russell, Kate Saenko

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

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

ECCV 2022 NewsStories: Illustrating Articles with Visual Summaries Reuben Tan, Bryan A. Plummer, Kate Saenko, Jp Lewis, Avneesh Sud, Thomas Leung

ECCV 2022 Supervised Attribute Information Removal and Reconstruction for Image Manipulation Nannan Li, Bryan A. Plummer

ICCV 2021 CDS: Cross-Domain Self-Supervised Pre-Training Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko

ICCV 2021 Effectively Leveraging Attributes for Visual Similarity Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan A. Plummer

CVPRW 2021 Effectively Leveraging Attributes for Visual Similarity Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan A. Plummer

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

ICCVW 2021 MILA: Multi-Task Learning from Videos via Efficient Inter-Frame Attention Donghyun Kim, 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, Kuniaki Saito, Samarth Mishra, Stan Sclaroff, Kate Saenko, Bryan A. Plummer

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

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

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

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

AAAI 2019 Multilevel Language and Vision Integration for Text-to-CLIP Retrieval Huijuan Xu, Kun He, Bryan A. Plummer, Leonid Sigal, Stan Sclaroff, Kate Saenko

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

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

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

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

ECCV 2016 Visual Analogies: A Framework for Defining Aspect Categorization P. Daphne Tsatsoulis, Bryan A. Plummer, David A. Forsyth

ECCVW 2016 Visual Analogies: A Framework for Defining Aspect Categorization P. Daphne Tsatsoulis, Bryan A. Plummer, David A. Forsyth

ICCV 2015 Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models Bryan A. Plummer, Liwei Wang, Chris M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik