Rohrbach, Marcus

67 publications

TMLR 2026 Variational Visual Question Answering for Uncertainty-Aware Selective Prediction Tobias Jan Wieczorek, Nathalie Daun, Mohammad Emtiyaz Khan, Marcus Rohrbach

ICML 2025 DEFAME: Dynamic Evidence-Based FAct-Checking with Multimodal Experts Tobias Braun, Mark Rothermel, Marcus Rohrbach, Anna Rohrbach

NeurIPS 2025 Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection Reihaneh Zohrabi, Hosein Hasani, Mahdieh Soleymani Baghshah, Anna Rohrbach, Marcus Rohrbach, Mohammad Hossein Rohban

CVPR 2025 V^2Dial: Unification of Video and Visual Dialog via Multimodal Experts Adnen Abdessaied, Anna Rohrbach, Marcus Rohrbach, Andreas Bulling

ECCV 2024 Efficient Pre-Training for Localized Instruction Generation of Procedural Videos Anil Batra, Davide Moltisanti, Laura Sevilla-Lara, Marcus Rohrbach, Frank Keller

WACV 2024 Simple Token-Level Confidence Improves Caption Correctness Suzanne Petryk, Spencer Whitehead, Joseph E. Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach

CVPR 2023 Improving Selective Visual Question Answering by Learning from Your Peers Corentin Dancette, Spencer Whitehead, Rishabh Maheshwary, Ramakrishna Vedantam, Stefan Scherer, Xinlei Chen, Matthieu Cord, Marcus Rohrbach

ECCV 2022 CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition Shreyank N Gowda, Laura Sevilla-Lara, Frank Keller, Marcus Rohrbach

CVPR 2022 FLAVA: A Foundational Language and Vision Alignment Model Amanpreet Singh, Ronghang Hu, Vedanuj Goswami, Guillaume Couairon, Wojciech Galuba, Marcus Rohrbach, Douwe Kiela

ECCV 2022 Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition Shreyank N Gowda, Marcus Rohrbach, Frank Keller, Laura Sevilla-Lara

CVPR 2022 Learning to Recognize Procedural Activities with Distant Supervision Xudong Lin, Fabio Petroni, Gedas Bertasius, Marcus Rohrbach, Shih-Fu Chang, Lorenzo Torresani

ECCV 2022 Reliable Visual Question Answering: Abstain Rather than Answer Incorrectly Spencer Whitehead, Suzanne Petryk, Vedaad Shakib, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach

CVPR 2021 KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA Kenneth Marino, Xinlei Chen, Devi Parikh, Abhinav Gupta, Marcus Rohrbach

ICLR 2021 Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E. Gonzalez, Marcus Rohrbach, Trevor Darrell

AAAI 2021 SMART Frame Selection for Action Recognition Shreyank N. Gowda, Marcus Rohrbach, Laura Sevilla-Lara

CVPR 2020 12-in-1: Multi-Task Vision and Language Representation Learning Jiasen Lu, Vedanuj Goswami, Marcus Rohrbach, Devi Parikh, Stefan Lee

ECCV 2020 Adversarial Continual Learning Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach

ICLR 2020 Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis

CVPR 2020 In Defense of Grid Features for Visual Question Answering Huaizu Jiang, Ishan Misra, Marcus Rohrbach, Erik Learned-Miller, Xinlei Chen

CVPR 2020 Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA Ronghang Hu, Amanpreet Singh, Trevor Darrell, Marcus Rohrbach

ECCV 2020 Learning to Generate Grounded Visual Captions Without Localization Supervision Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib, Peter Vajda, Marcus Rohrbach, Zsolt Kira

ECCV 2020 TextCaps: A Dataset for Image Captioning with Reading Comprehension Oleksii Sidorov, Ronghang Hu, Marcus Rohrbach, Amanpreet Singh

ICLR 2020 Uncertainty-Guided Continual Learning with Bayesian Neural Networks Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach

CVPR 2019 Adversarial Inference for Multi-Sentence Video Description Jae Sung Park, Marcus Rohrbach, Trevor Darrell, Anna Rohrbach

CVPRW 2019 Adversarial Inference for Multi-Sentence Video Description Jae Sung Park, Marcus Rohrbach, Trevor Darrell, Anna Rohrbach

CVPR 2019 Cycle-Consistency for Robust Visual Question Answering Meet Shah, Xinlei Chen, Marcus Rohrbach, Devi Parikh

CVPR 2019 DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition Zheng Shou, Xudong Lin, Yannis Kalantidis, Laura Sevilla-Lara, Marcus Rohrbach, Shih-Fu Chang, Zhicheng Yan

ICCV 2019 Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution Yunpeng Chen, Haoqi Fan, Bing Xu, Zhicheng Yan, Yannis Kalantidis, Marcus Rohrbach, Shuicheng Yan, Jiashi Feng

ICLR 2019 Efficient Lifelong Learning with A-GEM Arslan Chaudhry, Marc’Aurelio Ranzato, Marcus Rohrbach, Mohamed Elhoseiny

CVPR 2019 Graph-Based Global Reasoning Networks Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan, Yan Shuicheng, Jiashi Feng, Yannis Kalantidis

CVPR 2019 Grounded Video Description Luowei Zhou, Yannis Kalantidis, Xinlei Chen, Jason J. Corso, Marcus Rohrbach

CVPRW 2019 Grounded Video Description Luowei Zhou, Yannis Kalantidis, Xinlei Chen, Jason J. Corso, Marcus Rohrbach

AAAI 2019 Large-Scale Visual Relationship Understanding Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed Elgammal, Mohamed Elhoseiny

ICML 2019 Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering Ramakrishna Vedantam, Karan Desai, Stefan Lee, Marcus Rohrbach, Dhruv Batra, Devi Parikh

ICLR 2019 Selfless Sequential Learning Rahaf Aljundi, Marcus Rohrbach, Tinne Tuytelaars

CVPR 2019 Towards VQA Models That Can Read Amanpreet Singh, Vivek Natarajan, Meet Shah, Yu Jiang, Xinlei Chen, Dhruv Batra, Devi Parikh, Marcus Rohrbach

CVPRW 2019 Uncertainty-Guided Continual Learning in Bayesian Neural Networks - Extended Abstract Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach

ECCV 2018 Memory Aware Synapses: Learning What (not) to Forget Rahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, Marcus Rohrbach, Tinne Tuytelaars

CVPR 2018 Multimodal Explanations: Justifying Decisions and Pointing to the Evidence Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Marcus Rohrbach

ECCV 2018 Visual Coreference Resolution in Visual Dialog Using Neural Module Networks Satwik Kottur, Jose M. F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach

CVPR 2017 Captioning Images with Diverse Objects Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond Mooney, Trevor Darrell, Kate Saenko

CVPR 2017 Generating Descriptions with Grounded and Co-Referenced People Anna Rohrbach, Marcus Rohrbach, Siyu Tang, Seong Joon Oh, Bernt Schiele

ICCV 2017 Learning to Reason: End-to-End Module Networks for Visual Question Answering Ronghang Hu, Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Kate Saenko

CVPR 2017 Modeling Relationships in Referential Expressions with Compositional Modular Networks Ronghang Hu, Marcus Rohrbach, Jacob Andreas, Trevor Darrell, Kate Saenko

ICCV 2017 Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training Rakshith Shetty, Marcus Rohrbach, Lisa Anne Hendricks, Mario Fritz, Bernt Schiele

AAAI 2016 Commonsense in Parts: Mining Part-Whole Relations from the Web and Image Tags Niket Tandon, Charles Hariman, Jacopo Urbani, Anna Rohrbach, Marcus Rohrbach, Gerhard Weikum

CVPR 2016 Deep Compositional Captioning: Describing Novel Object Categories Without Paired Training Data Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond Mooney, Kate Saenko, Trevor Darrell

ECCV 2016 Generating Visual Explanations Lisa Anne Hendricks, Zeynep Akata, Marcus Rohrbach, Jeff Donahue, Bernt Schiele, Trevor Darrell

ECCV 2016 Grounding of Textual Phrases in Images by Reconstruction Anna Rohrbach, Marcus Rohrbach, Ronghang Hu, Trevor Darrell, Bernt Schiele

CVPR 2016 Natural Language Object Retrieval Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell

CVPR 2016 Neural Module Networks Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein

ECCV 2016 Segmentation from Natural Language Expressions Ronghang Hu, Marcus Rohrbach, Trevor Darrell

CVPR 2015 A Dataset for Movie Description Anna Rohrbach, Marcus Rohrbach, Niket Tandon, Bernt Schiele

ICCV 2015 Ask Your Neurons: A Neural-Based Approach to Answering Questions About Images Mateusz Malinowski, Marcus Rohrbach, Mario Fritz

CVPR 2015 Long-Term Recurrent Convolutional Networks for Visual Recognition and Description Jeffrey Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, Trevor Darrell

ICCV 2015 Sequence to Sequence - Video to Text Subhashini Venugopalan, Marcus Rohrbach, Jeffrey Donahue, Raymond Mooney, Trevor Darrell, Kate Saenko

ICCV 2015 Spatial Semantic Regularisation for Large Scale Object Detection Damian Mrowca, Marcus Rohrbach, Judy Hoffman, Ronghang Hu, Kate Saenko, Trevor Darrell

NeurIPS 2013 Transfer Learning in a Transductive Setting Marcus Rohrbach, Sandra Ebert, Bernt Schiele

ICCV 2013 Translating Video Content to Natural Language Descriptions Marcus Rohrbach, Wei Qiu, Ivan Titov, Stefan Thater, Manfred Pinkal, Bernt Schiele

ECCV 2012 3D Object Detection with Multiple Kinects Wandi Susanto, Marcus Rohrbach, Bernt Schiele

ECCVW 2012 3D Object Detection with Multiple Kinects Wandi Susanto, Marcus Rohrbach, Bernt Schiele

CVPR 2012 A Database for Fine Grained Activity Detection of Cooking Activities Marcus Rohrbach, Sikandar Amin, Mykhaylo Andriluka, Bernt Schiele

ECCV 2012 Script Data for Attribute-Based Recognition of Composite Activities Marcus Rohrbach, Michaela Regneri, Mykhaylo Andriluka, Sikandar Amin, Manfred Pinkal, Bernt Schiele

CVPR 2011 Evaluating Knowledge Transfer and Zero-Shot Learning in a Large-Scale Setting Marcus Rohrbach, Michael Stark, Bernt Schiele

ECCV 2010 Combining Language Sources and Robust Semantic Relatedness for Attribute-Based Knowledge Transfer Marcus Rohrbach, Michael Stark, György Szarvas, Bernt Schiele

ECCVW 2010 Combining Language Sources and Robust Semantic Relatedness for Attribute-Based Knowledge Transfer Marcus Rohrbach, Michael Stark, György Szarvas, Bernt Schiele

CVPR 2010 What Helps Where - And Why? Semantic Relatedness for Knowledge Transfer Marcus Rohrbach, Michael Stark, György Szarvas, Iryna Gurevych, Bernt Schiele