Bryan A. Plummer

136 papers A* 27A 9Journal 80Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Breaking the Assistant Mold: Modeling Behavioral Variation in LLM Based Procedural Character Generation. CoRR Maan Qraitem, Kate Saenko, Bryan A. Plummer
2026	J	`jnl`	Decompose, Mix, Adapt: A Unified Framework for Parameter-Efficient Neural Network Recombination and Compression. CoRR Nazia Tasnim, Shrimai Prabhumoye, Bryan A. Plummer
2026	J	`jnl`	Seeing Isn't Orienting: A Cognitively Grounded Benchmark Reveals Systematic Orientation Failures in MLLMs Supplementary. CoRR Nazia Tasnim, Keanu Nichols, Yuting Yan, Nicholas Ikechukwu, Elva Zou, Deepti Ghadiyaram, Bryan A. Plummer
2025	J	`jnl`	BabyVLM-V2: Toward Developmentally Grounded Pretraining and Benchmarking of Vision Foundation Models. CoRR Shengao Wang, Wenqi Wang, Zecheng Wang, Max Whitton, Michael Wakeham, Arjun Chandra, Joey Huang, Pengyue Zhu, Helen Chen, David Li, Jeffrey Li, Shawn Li, Andrew Zagula, Amy Zhao, Andrew Zhu, Sayaka Nakamura, Yuki Yamamoto, Jerry Jun Yokono, Aaron Mueller, Bryan A. Plummer, Kate Saenko, Venkatesh Saligrama, Boqing Gong
2025	J	`jnl`	Beyond Token Pruning: Operation Pruning in Vision-Language Models. CoRR Aoming Liu, Reuben Tan, Boqing Gong, Bryan A. Plummer
2025	J	`jnl`	CHAMMI-75: pre-training multi-channel models with heterogeneous microscopy images. CoRR Vidit Agrawal, John Peters, Tyler N. Thompson, Mohammad V. Sanian, Chau Pham, Nikita Moshkov, Arshad Kazi, Aditya Pillai, Jack Freeman, Byunguk Kang, Samouil L. Farhi, Ernest Fraenkel, Ron Stewart, Lassi Paavolainen, Bryan A. Plummer, Juan C. Caicedo
2025	J	`jnl`	ChA-MAEViT: Unifying Channel-Aware Masked Autoencoders and Multi-Channel Vision Transformers for Improved Cross-Channel Learning. CoRR Chau Pham, Juan C. Caicedo, Bryan A. Plummer
2025	A	`conf`	ERM++: An Improved Baseline for Domain Generalization. WACV Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Kate Saenko, Bryan A. Plummer
2025	A*	`conf`	Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling. CVPR Nannan Li, Kevin J. Shih, Bryan A. Plummer
2025	J	`jnl`	Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling. CoRR Nannan Li, Kevin J. Shih, Bryan A. Plummer
2025	A*	`conf`	Is Large-scale Pretraining the Secret to Good Domain Generalization? ICLR Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Bryan A. Plummer, Kate Saenko
2025	J	`jnl`	Mull-Tokens: Modality-Agnostic Latent Thinking. CoRR Arijit Ray, Ahmed Abdelkader, Chengzhi Mao, Bryan A. Plummer, Kate Saenko, Ranjay Krishna, Leonidas J. Guibas, Wen-Sheng Chu
2025	J	`jnl`	Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization. CoRR Siqi Wang, Aoming Liu, Bryan A. Plummer
2025	A*	`conf`	RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks. ICLR Nazia Tasnim, Bryan A. Plummer
2025	—	`conf`	Real, Fake, or Manipulated? Detecting Machine-Influenced Text. EMNLP (Findings) Yitong Wang, Zhongping Zhang, Margherita Piana, Zheng Zhou, Peter Gerstoft, Bryan A. Plummer
2025	J	`jnl`	Real, Fake, or Manipulated? Detecting Machine-Influenced Text. CoRR Yitong Wang, Zhongping Zhang, Margherita Piana, Zheng Zhou, Peter Gerstoft, Bryan A. Plummer
2025	J	`jnl`	Right Side Up? Disentangling Orientation Understanding in MLLMs with Fine-grained Multi-axis Perception Tasks. CoRR Keanu Nichols, Nazia Tasnim, Yuting Yan, Nicholas Ikechukwu, Elva Zou, Deepti Ghadiyaram, Bryan A. Plummer
2025	A*	`conf`	Scaling Up Temporal Domain Generalization via Temporal Experts Averaging. EMNLP Aoming Liu, Kevin Miller, Venkatesh Saligrama, Kate Saenko, Boqing Gong, Ser-Nam Lim, Bryan A. Plummer
2025	J	`jnl`	Scaling Up Temporal Domain Generalization via Temporal Experts Averaging. CoRR Aoming Liu, Kevin Miller, Venkatesh Saligrama, Kate Saenko, Boqing Gong, Ser-Nam Lim, Bryan A. Plummer
2025	A*	`conf`	Walk and Read Less: Improving the Efficiency of Vision-and-Language Navigation via Tuning-Free Multimodal Token Pruning. EMNLP Wenda Qin, Andrea Burns, Bryan A. Plummer, Margrit Betke
2025	J	`jnl`	Walk and Read Less: Improving the Efficiency of Vision-and-Language Navigation via Tuning-Free Multimodal Token Pruning. CoRR Wenda Qin, Andrea Burns, Bryan A. Plummer, Margrit Betke
2025	J	`jnl`	Web Artifact Attacks Disrupt Vision Language Models. CoRR Maan Qraitem, Piotr Teterwak, Kate Saenko, Bryan A. Plummer
2024	A*	`conf`	Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers. NeurIPS Chau Pham, Bryan A. Plummer
2024	J	`jnl`	Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers. CoRR Chau Pham, Bryan A. Plummer
2024	—	`conf`	From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition. ECCV (58) Maan Qraitem, Kate Saenko, Bryan A. Plummer
2024	J	`jnl`	Is Large-Scale Pretraining the Secret to Good Domain Generalization? CoRR Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Bryan A. Plummer, Kate Saenko
2024	A*	`conf`	Koala: Key Frame-Conditioned Long Video-LLM. CVPR Reuben Tan, Ximeng Sun, Ping Hu, Jui-Hsien Wang, Hanieh Deilamsalehy, Bryan A. Plummer, Bryan C. Russell, Kate Saenko
2024	J	`jnl`	Koala: Key frame-conditioned long video-LLM. CoRR Reuben Tan, Ximeng Sun, Ping Hu, Jui-Hsien Wang, Hanieh Deilamsalehy, Bryan A. Plummer, Bryan C. Russell, Kate Saenko
2024	—	`conf`	LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration. ECCV (61) Siqi Wang, Bryan A. Plummer
2024	A	`conf`	Learning to Compose SuperWeights for Neural Parameter Allocation Search. WACV Piotr Teterwak, Soren Nelson, Nikoli Dryden, Dina Bashkirova, Kate Saenko, Bryan A. Plummer
2024	A*	`conf`	Let Models Speak Ciphers: Multiagent Debate through Embeddings. ICLR Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang
2024	—	`conf`	Machine-Generated Text Localization. ACL (Findings) Zhongping Zhang, Wenda Qin, Bryan A. Plummer
2024	J	`jnl`	Machine-generated Text Localization. CoRR Zhongping Zhang, Wenda Qin, Bryan A. Plummer
2024	A	`conf`	MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters. WACV Chau Pham, Piotr Teterwak, Soren Nelson, Bryan A. Plummer
2024	A	`conf`	Movie Genre Classification by Language Augmentation and Shot Sampling. WACV Zhongping Zhang, Yiwen Gu, Bryan A. Plummer, Xin Miao, Jiayi Liu, Huayan Wang
2024	A*	`conf`	Multimodal Representation and Retrieval [MRR 2024]. SIGIR Xinliang Zhu, Arnab Dhua, Douglas Gray, I. Zeki Yalniz, Tan Yu, Mohamed Elhoseiny, Bryan A. Plummer
2024	J	`jnl`	OP-LoRA: The Blessing of Dimensionality. CoRR Piotr Teterwak, Kate Saenko, Bryan A. Plummer, Ser-Nam Lim
2024	—	`conf`	PanoFree: Tuning-Free Holistic Multi-view Image Generation with Cross-View Self-guidance. ECCV (27) Aoming Liu, Zhong Li, Zhang Chen, Nannan Li, Yi Xu, Bryan A. Plummer
2024	J	`jnl`	PanoFree: Tuning-Free Holistic Multi-view Image Generation with Cross-view Self-Guidance. CoRR Aoming Liu, Zhong Li, Zhang Chen, Nannan Li, Yi Xu, Bryan A. Plummer
2024	J	`jnl`	RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks. CoRR Nazia Tasnim, Bryan A. Plummer
2024	J	`jnl`	SAT: Spatial Aptitude Training for Multimodal Language Models. CoRR Arijit Ray, Jiafei Duan, Reuben Tan, Dina Bashkirova, Rose Hendrix, Kiana Ehsani, Aniruddha Kembhavi, Bryan A. Plummer, Ranjay Krishna, Kuo-Hao Zeng, Kate Saenko
2024	J	`jnl`	SLANT: Spurious Logo ANalysis Toolkit. CoRR Maan Qraitem, Piotr Teterwak, Kate Saenko, Bryan A. Plummer
2024	—	`conf`	Tell Me What's Next: Textual Foresight for Generic UI Representations. ACL (Findings) Andrea Burns, Kate Saenko, Bryan A. Plummer
2024	J	`jnl`	Tell Me What's Next: Textual Foresight for Generic UI Representations. CoRR Andrea Burns, Kate Saenko, Bryan A. Plummer
2024	A	`conf`	Text-to-image Editing by Image Information Removal. WACV Zhongping Zhang, Jian Zheng, Jacob Zhiyuan Fang, Bryan A. Plummer
2024	A*	`conf`	UniHuman: A Unified Model For Editing Human Images in the Wild. CVPR Nannan Li, Qing Liu, Krishna Kumar Singh, Yilin Wang, Jianming Zhang, Bryan A. Plummer, Zhe Lin
2024	J	`jnl`	Vision-LLMs Can Fool Themselves with Self-Generated Typographic Attacks. CoRR Maan Qraitem, Nazia Tasnim, Piotr Teterwak, Kate Saenko, Bryan A. Plummer
2023	A*	`conf`	A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding. EMNLP Andrea Burns, Krishna Srinivasan, Joshua Ainslie, Geoff Brown, Bryan A. Plummer, Kate Saenko, Jianmo Ni, Mandy Guo
2023	J	`jnl`	A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding. CoRR Andrea Burns, Krishna Srinivasan, Joshua Ainslie, Geoff Brown, Bryan A. Plummer, Kate Saenko, Jianmo Ni, Mandy Guo
2023	J	`jnl`	A Unified Framework for Connecting Noise Modeling to Boost Noise Detection. CoRR Siqi Wang, Chau Pham, Bryan A. Plummer
2023	A*	`conf`	Bias Mimicking: A Simple Sampling Approach for Bias Mitigation. CVPR Maan Qraitem, Kate Saenko, Bryan A. Plummer
2023	A*	`conf`	CHAMMI: A benchmark for channel-adaptive models in microscopy imaging. NeurIPS Zitong Sam Chen, Chau Pham, Siqi Wang, Michael Doron, Nikita Moshkov, Bryan A. Plummer, Juan C. Caicedo
2023	J	`jnl`	CHAMMI: A benchmark for channel-adaptive models in microscopy imaging. CoRR Zitong Sam Chen, Chau Pham, Siqi Wang, Michael Doron, Nikita Moshkov, Bryan A. Plummer, Juan C. Caicedo
2023	J	`jnl`	CLAMP: Contrastive LAnguage Model Prompt-tuning. CoRR Piotr Teterwak, Ximeng Sun, Bryan A. Plummer, Kate Saenko, Ser-Nam Lim
2023	J	`jnl`	COLA: How to adapt vision-language models to Compose Objects Localized with Attributes? CoRR Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan A. Plummer, Ranjay Krishna, Kate Saenko
2023	A*	`conf`	Cola: A Benchmark for Compositional Text-to-image Retrieval. NeurIPS Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan A. Plummer, Ranjay Krishna, Kate Saenko
2023	A*	`conf`	Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer by Permuting Textures. ICCV Nannan Li, Kevin J. Shih, Bryan A. Plummer
2023	A	`conf`	Complex Scene Image Editing by Scene Graph Comprehension. BMVC Zhongping Zhang, Huiwen He, Bryan A. Plummer, Zhenyu Liao, Huayan Wang
2023	J	`jnl`	ERM++: An Improved Baseline for Domain Generalization. CoRR Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Kate Saenko, Bryan A. Plummer
2023	J	`jnl`	From Fake to Real (FFR): A two-stage training pipeline for mitigating spurious correlations with synthetic data. CoRR Maan Qraitem, Kate Saenko, Bryan A. Plummer
2023	J	`jnl`	LNL+K: Learning with Noisy Labels and Noise Source Distribution Knowledge. CoRR Siqi Wang, Bryan A. Plummer
2023	A*	`conf`	Language-Guided Audio-Visual Source Separation via Trimodal Consistency. CVPR Reuben Tan, Arijit Ray, Andrea Burns, Bryan A. Plummer, Justin Salamon, Oriol Nieto, Bryan C. Russell, Kate Saenko
2023	J	`jnl`	Language-Guided Audio-Visual Source Separation via Trimodal Consistency. CoRR Reuben Tan, Arijit Ray, Andrea Burns, Bryan A. Plummer, Justin Salamon, Oriol Nieto, Bryan C. Russell, Kate Saenko
2023	J	`jnl`	Learning to Compose SuperWeights for Neural Parameter Allocation Search. CoRR Piotr Teterwak, Soren Nelson, Nikoli Dryden, Dina Bashkirova, Kate Saenko, Bryan A. Plummer
2023	J	`jnl`	Let Models Speak Ciphers: Multiagent Debate through Embeddings. CoRR Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang
2023	J	`jnl`	MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters. CoRR Chau Pham, Piotr Teterwak, Soren Nelson, Bryan A. Plummer
2023	J	`jnl`	Multiscale Video Pretraining for Long-Term Activity Forecasting. CoRR Reuben Tan, Matthias De Lange, Michael L. Iuzzolino, Bryan A. Plummer, Kate Saenko, Karl Ridgeway, Lorenzo Torresani
2023	—	`conf`	Show, Write, and Retrieve: Entity-aware Article Generation and Retrieval. EMNLP (Findings) Zhongping Zhang, Yiwen Gu, Bryan A. Plummer
2023	J	`jnl`	Socratis: Are large multimodal models emotionally aware? CoRR Katherine Deng, Arijit Ray, Reuben Tan, Saadia Gabriel, Bryan A. Plummer, Kate Saenko
2023	J	`jnl`	Text-to-image Editing by Image Information Removal. CoRR Zhongping Zhang, Jian Zheng, Jacob Zhiyuan Fang, Bryan A. Plummer
2023	J	`jnl`	UniHuman: A Unified Model for Editing Human Images in the Wild. CoRR Nannan Li, Qing Liu, Krishna Kumar Singh, Yilin Wang, Jianming Zhang, Bryan A. Plummer, Zhe Lin
2023	J	`jnl`	WikiWeb2M: A Page-Level Multimodal Wikipedia Dataset. CoRR Andrea Burns, Krishna Srinivasan, Joshua Ainslie, Geoff Brown, Bryan A. Plummer, Kate Saenko, Jianmo Ni, Mandy Guo
2022	—	`conf`	A Dataset for Interactive Vision-Language Navigation with Unknown Command Feasibility. ECCV (8) Andrea Burns, Deniz Arsan, Sanjna Agrawal, Ranjitha Kumar, Kate Saenko, Bryan A. Plummer
2022	J	`jnl`	Bias Mimicking: A Simple Sampling Approach for Bias Mitigation. CoRR Maan Qraitem, Kate Saenko, Bryan A. Plummer
2022	J	`jnl`	Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer by Permuting Textures. CoRR Nannan Li, Kevin J. Shih, Bryan A. Plummer
2022	J	`jnl`	Effectively leveraging Multi-modal Features for Movie Genre Classification. CoRR Zhongping Zhang, Yiwen Gu, Bryan A. Plummer, Xin Miao, Jiayi Liu, Huayan Wang
2022	J	`jnl`	Explaining Reinforcement Learning Policies through Counterfactual Trajectories. CoRR Julius Frost, Olivia Watkins, Eric Weiner, Pieter Abbeel, Trevor Darrell, Bryan A. Plummer, Kate Saenko
2022	J	`jnl`	Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark. CoRR 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, Armando Solar-Lezama, Iddo Drori
2022	J	`jnl`	Interactive Mobile App Navigation with Uncertain or Under-specified Natural Language Commands. CoRR Andrea Burns, Deniz Arsan, Sanjna Agrawal, Ranjitha Kumar, Kate Saenko, Bryan A. Plummer
2022	A*	`conf`	Neural Parameter Allocation Search. ICLR Bryan A. Plummer, Nikoli Dryden, Julius Frost, Torsten Hoefler, Kate Saenko
2022	—	`conf`	NewsStories: Illustrating Articles with Visual Summaries. ECCV (36) Reuben Tan, Bryan A. Plummer, Kate Saenko, J. P. Lewis, Avneesh Sud, Thomas Leung
2022	J	`jnl`	NewsStories: Illustrating articles with visual summaries. CoRR Reuben Tan, Bryan A. Plummer, Kate Saenko, J. P. Lewis, Avneesh Sud, Thomas Leung
2022	J	`jnl`	Revisiting Image-Language Networks for Open-Ended Phrase Detection. IEEE Trans. Pattern Anal. Mach. Intell. Bryan A. Plummer, Kevin J. Shih, Yichen Li, Ke Xu, Svetlana Lazebnik, Stan Sclaroff, Kate Saenko
2022	J	`jnl`	Semantic Image Manipulation with Background-guided Internal Learning. CoRR Zhongping Zhang, Huiwen He, Bryan A. Plummer, Zhenyu Liao, Huayan Wang
2022	—	`conf`	Supervised Attribute Information Removal and Reconstruction for Image Manipulation. ECCV (17) Nannan Li, Bryan A. Plummer
2022	J	`jnl`	Supervised Attribute Information Removal and Reconstruction for Image Manipulation. CoRR Nannan Li, Bryan A. Plummer
2021	J	`jnl`	Anchoring to Exemplars for Training Mixture-of-Expert Cell Embeddings. CoRR Siqi Wang, Manyuan Lu, Nikita Moshkov, Juan C. Caicedo, Bryan A. Plummer
2021	A*	`conf`	CDS: Cross-Domain Self-supervised Pre-training. ICCV Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko
2021	—	`conf`	Effectively Leveraging Attributes for Visual Similarity. CVPR Workshops Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan A. Plummer
2021	A*	`conf`	Effectively Leveraging Attributes for Visual Similarity. ICCV Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan A. Plummer
2021	J	`jnl`	Effectively Leveraging Attributes for Visual Similarity. CoRR Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan A. Plummer
2021	J	`jnl`	Learning to Reason from General Concepts to Fine-grained Tokens for Discriminative Phrase Detection. CoRR Maan Qraitem, Bryan A. Plummer
2021	A	`conf`	LoGAN: Latent Graph Co-Attention Network for Weakly-Supervised Video Moment Retrieval. WACV Reuben Tan, Huijuan Xu, Kate Saenko, Bryan A. Plummer
2021	A*	`conf`	Look at What I'm Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos. NeurIPS Reuben Tan, Bryan A. Plummer, Kate Saenko, Hailin Jin, Bryan C. Russell
2021	J	`jnl`	Look at What I'm Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos. CoRR Reuben Tan, Bryan A. Plummer, Kate Saenko, Hailin Jin, Bryan C. Russell
2021	—	`conf`	MILA: Multi-Task Learning from Videos via Efficient Inter-Frame Attention. ICCVW Donghyun Kim, Tian Lan, Chuhang Zou, Ning Xu, Bryan A. Plummer, Stan Sclaroff, Jayan Eledath, Gérard G. Medioni
2021	J	`jnl`	Mobile App Tasks with Iterative Feedback (MoTIF): Addressing Task Feasibility in Interactive Visual Environments. CoRR Andrea Burns, Deniz Arsan, Sanjna Agrawal, Ranjitha Kumar, Kate Saenko, Bryan A. Plummer
2021	—	`conf`	Self-supervised Visual Attribute Learning for Fashion Compatibility. ICCVW Donghyun Kim, Kuniaki Saito, Samarth Mishra, Stan Sclaroff, Kate Saenko, Bryan A. Plummer
2021	J	`jnl`	Show and Write: Entity-aware News Generation with Image Information. CoRR Zhongping Zhang, Yiwen Gu, Bryan A. Plummer
2020	J	`jnl`	Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels. CoRR Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko
2020	—	`conf`	Detecting Cross-Modal Inconsistency to Defend Against Neural Fake News. EMNLP (1) Reuben Tan, Bryan A. Plummer, Kate Saenko
2020	J	`jnl`	Detecting Cross-Modal Inconsistency to Defend Against Neural Fake News. CoRR Reuben Tan, Bryan A. Plummer, Kate Saenko
2020	—	`conf`	Learning to Scale Multilingual Representations for Vision-Language Tasks. ECCV (4) Andrea Burns, Donghyun Kim, Derry Wijaya, Kate Saenko, Bryan A. Plummer
2020	J	`jnl`	Learning to Scale Multilingual Representations for Vision-Language Tasks. CoRR Andrea Burns, Donghyun Kim, Derry Wijaya, Kate Saenko, Bryan A. Plummer
2020	A*	`conf`	MULE: Multimodal Universal Language Embedding. AAAI Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
2020	J	`jnl`	Multi-Task Learning from Videos via Efficient Inter-Frame Attention. CoRR Donghyun Kim, Tian Lan, Chuhang Zou, Ning Xu, Bryan A. Plummer, Stan Sclaroff, Jayan Eledath, Gérard G. Medioni
2020	J	`jnl`	Self-supervised Visual Attribute Learning for Fashion Compatibility. CoRR Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
2020	J	`jnl`	Shapeshifter Networks: Cross-layer Parameter Sharing for Scalable and Effective Deep Learning. CoRR Bryan A. Plummer, Nikoli Dryden, Julius Frost, Torsten Hoefler, Kate Saenko
2020	—	`conf`	Why Do These Match? Explaining the Behavior of Image Similarity Models. ECCV (11) Bryan A. Plummer, Mariya I. Vasileva, Vitali Petsiuk, Kate Saenko, David A. Forsyth
2019	J	`jnl`	Combining Multiple Cues for Visual Madlibs Question Answering. Int. J. Comput. Vis. Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg
2019	A	`conf`	Give Me a Hint! Navigating Image Databases Using Human-in-the-Loop Feedback. WACV Bryan A. Plummer, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu
2019	A*	`conf`	Language Features Matter: Effective Language Representations for Vision-Language Tasks. ICCV Andrea Burns, Reuben Tan, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
2019	J	`jnl`	Language Features Matter: Effective Language Representations for Vision-Language Tasks. CoRR Andrea Burns, Reuben Tan, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
2019	A*	`conf`	Learning Similarity Conditions Without Explicit Supervision. ICCV Reuben Tan, Mariya I. Vasileva, Kate Saenko, Bryan A. Plummer
2019	J	`jnl`	Learning Similarity Conditions Without Explicit Supervision. CoRR Reuben Tan, Mariya I. Vasileva, Kate Saenko, Bryan A. Plummer
2019	J	`jnl`	MULE: Multimodal Universal Language Embedding. CoRR Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
2019	A*	`conf`	Multilevel Language and Vision Integration for Text-to-Clip Retrieval. AAAI Huijuan Xu, Kun He, Bryan A. Plummer, Leonid Sigal, Stan Sclaroff, Kate Saenko
2019	J	`jnl`	Why do These Match? Explaining the Behavior of Image Similarity Models. CoRR Bryan A. Plummer, Mariya I. Vasileva, Vitali Petsiuk, Kate Saenko, David A. Forsyth
2019	J	`jnl`	wMAN: Weakly-supervised Moment Alignment Network for Text-based Video Segment Retrieval. CoRR Reuben Tan, Huijuan Xu, Kate Saenko, Bryan A. Plummer
2018	—	`conf`	Conditional Image-Text Embedding Networks. ECCV (12) Bryan A. Plummer, Paige Kordas, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu, Svetlana Lazebnik
2018	J	`jnl`	Give me a hint! Navigating Image Databases using Human-in-the-loop Feedback. CoRR Bryan A. Plummer, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu
2018	—	`—`	Grounding natural language phrases in images and video Bryan A. Plummer
2018	—	`conf`	Learning Type-Aware Embeddings for Fashion Compatibility. ECCV (16) Mariya I. Vasileva, Bryan A. Plummer, Krishna Dusad, Shreya Rajpal, Ranjitha Kumar, David A. Forsyth
2018	J	`jnl`	Learning Type-Aware Embeddings for Fashion Compatibility. CoRR Mariya I. Vasileva, Bryan A. Plummer, Krishna Dusad, Shreya Rajpal, Ranjitha Kumar, David A. Forsyth
2018	J	`jnl`	Open-vocabulary Phrase Detection. CoRR Bryan A. Plummer, Kevin J. Shih, Yichen Li, Ke Xu, Svetlana Lazebnik, Stan Sclaroff, Kate Saenko
2017	J	`jnl`	Conditional Image-Text Embedding Networks. CoRR Bryan A. Plummer, Paige Kordas, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu, Svetlana Lazebnik
2017	A*	`conf`	Enhancing Video Summarization via Vision-Language Embedding. CVPR Bryan A. Plummer, Matthew Brown, Svetlana Lazebnik
2017	J	`jnl`	Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models. Int. J. Comput. Vis. Bryan A. Plummer, Liwei Wang, Chris M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik
2017	A*	`conf`	Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues. ICCV Bryan A. Plummer, Arun Mallya, Christopher M. Cervantes, Julia Hockenmaier, Svetlana Lazebnik
2016	J	`jnl`	Phrase Localization and Visual Relationship Detection with Comprehensive Linguistic Cues. CoRR Bryan A. Plummer, Arun Mallya, Christopher M. Cervantes, Julia Hockenmaier, Svetlana Lazebnik
2016	A	`conf`	Solving VIsual Madlibs with Multiple Cues. BMVC Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg
2016	J	`jnl`	Solving Visual Madlibs with Multiple Cues. CoRR Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg
2016	J	`jnl`	Solving Visual Madlibs with Multiple Cues. CoRR Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg
2016	—	`conf`	Visual Analogies: A Framework for Defining Aspect Categorization. ECCV Workshops (3) P. Daphne Tsatsoulis, Bryan A. Plummer, David A. Forsyth
2015	A*	`conf`	Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models. ICCV Bryan A. Plummer, Liwei Wang, Chris M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik
2015	J	`jnl`	Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models. CoRR Bryan A. Plummer, Liwei Wang, Chris M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik