Marcus Rohrbach

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 129

Top Venues

CoRR

CVPR

ICCV

GCPR

Saarland University (PHD)

Education History

Saarland University

PHD

Publications

Corentin Dancette, Spencer Whitehead, Rishabh Maheshwary, Ramakrishna Vedantam, Stefan Scherer, Xinlei Chen, Matthieu Cord, Marcus Rohrbach
Improving Selective Visual Question Answering by Learning from Your Peers. CoRR (2023)
Corentin Dancette, Spencer Whitehead, Rishabh Maheshwary, Ramakrishna Vedantam, Stefan Scherer, Xinlei Chen, Matthieu Cord, Marcus Rohrbach
Improving Selective Visual Question Answering by Learning from Your Peers. CVPR (2023)
Anil Batra, Davide Moltisanti, Laura Sevilla-Lara, Marcus Rohrbach, Frank Keller
Efficient Pre-training for Localized Instruction Generation of Videos. CoRR (2023)
Suzanne Petryk, Spencer Whitehead, Joseph E. Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach
Simple Token-Level Confidence Improves Caption Correctness. CoRR (2023)
Spencer Whitehead, Suzanne Petryk, Vedaad Shakib, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach
Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly. CoRR (2022)
Shreyank N. Gowda, Marcus Rohrbach, Frank Keller, Laura Sevilla-Lara
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition. CoRR (2022)
Spencer Whitehead, Suzanne Petryk, Vedaad Shakib, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach
Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly. ECCV (36) (2022)
Xudong Lin, Fabio Petroni, Gedas Bertasius, Marcus Rohrbach, Shih-Fu Chang, Lorenzo Torresani
Learning To Recognize Procedural Activities with Distant Supervision. CoRR (2022)
Amanpreet Singh, Ronghang Hu, Vedanuj Goswami, Guillaume Couairon, Wojciech Galuba, Marcus Rohrbach, Douwe Kiela
FLAVA: A Foundational Language And Vision Alignment Model. CVPR (2022)
Shreyank N. Gowda, Laura Sevilla-Lara, Frank Keller, Marcus Rohrbach
CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition. ECCV (20) (2022)
Xudong Lin, Fabio Petroni, Gedas Bertasius, Marcus Rohrbach, Shih-Fu Chang, Lorenzo Torresani
Learning To Recognize Procedural Activities with Distant Supervision. CVPR (2022)
Shreyank N. Gowda, Marcus Rohrbach, Frank Keller, Laura Sevilla-Lara
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition. ECCV (31) (2022)
Kenneth Marino, Xinlei Chen, Devi Parikh, Abhinav Gupta, Marcus Rohrbach
KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA. CVPR (2021)
Amanpreet Singh, Ronghang Hu, Vedanuj Goswami, Guillaume Couairon, Wojciech Galuba, Marcus Rohrbach, Douwe Kiela
FLAVA: A Foundational Language And Vision Alignment Model. CoRR (2021)
Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E. Gonzalez, Marcus Rohrbach, Trevor Darrell
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting. ICLR (2021)
Shreyank N. Gowda, Laura Sevilla-Lara, Kiyoon Kim, Frank Keller, Marcus Rohrbach
A New Split for Evaluating True Zero-Shot Action Recognition. GCPR (2021)
Shreyank N. Gowda, Laura Sevilla-Lara, Kiyoon Kim, Frank Keller, Marcus Rohrbach
A New Split for Evaluating True Zero-Shot Action Recognition. CoRR (2021)
Shreyank N. Gowda, Marcus Rohrbach, Laura Sevilla-Lara
SMART Frame Selection for Action Recognition. AAAI (2021)
Shreyank N. Gowda, Laura Sevilla-Lara, Frank Keller, Marcus Rohrbach
CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition. CoRR (2021)
Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach
Adversarial Continual Learning. CoRR (2020)
Shreyank N. Gowda, Marcus Rohrbach, Laura Sevilla-Lara
SMART Frame Selection for Action Recognition. CoRR (2020)
Oleksii Sidorov, Ronghang Hu, Marcus Rohrbach, Amanpreet Singh
TextCaps: a Dataset for Image Captioning with Reading Comprehension. CoRR (2020)
Jiasen Lu, Vedanuj Goswami, Marcus Rohrbach, Devi Parikh, Stefan Lee
12-in-1: Multi-Task Vision and Language Representation Learning. CVPR (2020)
Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E. Gonzalez, Marcus Rohrbach, Trevor Darrell
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting. CoRR (2020)
Huaizu Jiang, Ishan Misra, Marcus Rohrbach, Erik G. Learned-Miller, Xinlei Chen
In Defense of Grid Features for Visual Question Answering. CVPR (2020)
Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach
Adversarial Continual Learning. ECCV (11) (2020)
Ronghang Hu, Amanpreet Singh, Trevor Darrell, Marcus Rohrbach
Iterative Answer Prediction With Pointer-Augmented Multimodal Transformers for TextVQA. CVPR (2020)
Kenneth Marino, Xinlei Chen, Devi Parikh, Abhinav Gupta, Marcus Rohrbach
KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA. CoRR (2020)
Oleksii Sidorov, Ronghang Hu, Marcus Rohrbach, Amanpreet Singh
TextCaps: A Dataset for Image Captioning with Reading Comprehension. ECCV (2) (2020)
Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib, Peter Vajda, Marcus Rohrbach, Zsolt Kira
Learning to Generate Grounded Visual Captions Without Localization Supervision. ECCV (18) (2020)
Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis
Decoupling Representation and Classifier for Long-Tailed Recognition. ICLR (2020)
Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach
Uncertainty-guided Continual Learning with Bayesian Neural Networks. ICLR (2020)
Huaizu Jiang, Ishan Misra, Marcus Rohrbach, Erik G. Learned-Miller, Xinlei Chen
In Defense of Grid Features for Visual Question Answering. CoRR (2020)
Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach
CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog. CoRR (2019)
Amanpreet Singh, Vivek Natarajan, Meet Shah, Yu Jiang, Xinlei Chen, Dhruv Batra, Devi Parikh, Marcus Rohrbach
Towards VQA Models That Can Read. CVPR (2019)
Zheng Shou, Zhicheng Yan, Yannis Kalantidis, Laura Sevilla-Lara, Marcus Rohrbach, Xudong Lin, Shih-Fu Chang
DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition. CoRR (2019)
Arslan Chaudhry, Marcus Rohrbach, Mohamed Elhoseiny, Thalaiyasingam Ajanthan, Puneet Kumar Dokania, Philip H. S. Torr, Marc'Aurelio Ranzato
Continual Learning with Tiny Episodic Memories. CoRR (2019)
Luowei Zhou, Yannis Kalantidis, Xinlei Chen, Jason J. Corso, Marcus Rohrbach
Grounded Video Description. CVPR Workshops (2019)
Jin-Hwa Kim, Nikita Kitaev, Xinlei Chen, Marcus Rohrbach, Byoung-Tak Zhang, Yuandong Tian, Dhruv Batra, Devi Parikh
CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication. ACL (1) (2019)
Rahaf Aljundi, Marcus Rohrbach, Tinne Tuytelaars
Selfless Sequential Learning. ICLR (Poster) (2019)
Ronghang Hu, Amanpreet Singh, Trevor Darrell, Marcus Rohrbach
Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA. CoRR (2019)
Ramakrishna Vedantam, Karan Desai, Stefan Lee, Marcus Rohrbach, Dhruv Batra, Devi Parikh
Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering. ICML (2019)
Yunpeng Chen, Haoqi Fan, Bing Xu, Zhicheng Yan, Yannis Kalantidis, Marcus Rohrbach, Shuicheng Yan, Jiashi Feng
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution. ICCV (2019)
Jae Sung Park, Marcus Rohrbach, Trevor Darrell, Anna Rohrbach
Adversarial Inference for Multi-Sentence Video Description. CVPR Workshops (2019)
Zheng Shou, Xudong Lin, Yannis Kalantidis, Laura Sevilla-Lara, Marcus Rohrbach, Shih-Fu Chang, Zhicheng Yan
DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition. CVPR (2019)
Meet Shah, Xinlei Chen, Marcus Rohrbach, Devi Parikh
Cycle-Consistency for Robust Visual Question Answering. CoRR (2019)
Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib, Peter Vajda, Marcus Rohrbach, Zsolt Kira
Learning to Generate Grounded Image Captions without Localization Supervision. CoRR (2019)
Amanpreet Singh, Vivek Natarajan, Meet Shah, Yu Jiang, Xinlei Chen, Dhruv Batra, Devi Parikh, Marcus Rohrbach
Towards VQA Models that can Read. CoRR (2019)
Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach
CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog. NAACL-HLT (1) (2019)
Arslan Chaudhry, Marc'Aurelio Ranzato, Marcus Rohrbach, Mohamed Elhoseiny
Efficient Lifelong Learning with A-GEM. ICLR (Poster) (2019)
Yunpeng Chen, Haoqi Fan, Bing Xu, Zhicheng Yan, Yannis Kalantidis, Marcus Rohrbach, Shuicheng Yan, Jiashi Feng
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution. CoRR (2019)
Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach
Uncertainty-guided Continual Learning with Bayesian Neural Networks. CoRR (2019)
Jiasen Lu, Vedanuj Goswami, Marcus Rohrbach, Devi Parikh, Stefan Lee
12-in-1: Multi-Task Vision and Language Representation Learning. CoRR (2019)
Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach
Uncertainty-Guided Continual Learning in Bayesian Neural Networks - Extended Abstract. CVPR Workshops (2019)
Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis
Decoupling Representation and Classifier for Long-Tailed Recognition. CoRR (2019)
Meet Shah, Xinlei Chen, Marcus Rohrbach, Devi Parikh
Cycle-Consistency for Robust Visual Question Answering. CVPR (2019)
Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan, Shuicheng Yan, Jiashi Feng, Yannis Kalantidis
Graph-Based Global Reasoning Networks. CVPR (2019)
Luowei Zhou, Yannis Kalantidis, Xinlei Chen, Jason J. Corso, Marcus Rohrbach
Grounded Video Description. CVPR (2019)
Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed Elgammal, Mohamed Elhoseiny
Large-Scale Visual Relationship Understanding. AAAI (2019)
Jae Sung Park, Marcus Rohrbach, Trevor Darrell, Anna Rohrbach
Adversarial Inference for Multi-Sentence Video Description. CVPR (2019)
Ramakrishna Vedantam, Karan Desai, Stefan Lee, Marcus Rohrbach, Dhruv Batra, Devi Parikh
Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering. CoRR (2019)
Luowei Zhou, Yannis Kalantidis, Xinlei Chen, Jason J. Corso, Marcus Rohrbach
Grounded Video Description. CoRR (2018)
Rahaf Aljundi, Marcus Rohrbach, Tinne Tuytelaars
Selfless Sequential Learning. CoRR (2018)
Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Marcus Rohrbach
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence. CVPR (2018)
Mohamed Elhoseiny, Francesca Babiloni, Rahaf Aljundi, Marcus Rohrbach, Manohar Paluri, Tinne Tuytelaars
Exploring the Challenges Towards Lifelong Fact Learning. ACCV (6) (2018)
Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach
Visual Coreference Resolution in Visual Dialog Using Neural Module Networks. ECCV (15) (2018)
Mohamed Elhoseiny, Francesca Babiloni, Rahaf Aljundi, Marcus Rohrbach, Manohar Paluri, Tinne Tuytelaars
Exploring the Challenges towards Lifelong Fact Learning. CoRR (2018)
Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan, Shuicheng Yan, Jiashi Feng, Yannis Kalantidis
Graph-Based Global Reasoning Networks. CoRR (2018)
Rahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, Marcus Rohrbach, Tinne Tuytelaars
Memory Aware Synapses: Learning What (not) to Forget. ECCV (3) (2018)
Yu Jiang, Vivek Natarajan, Xinlei Chen, Marcus Rohrbach, Dhruv Batra, Devi Parikh
Pythia v0.1: the Winning Entry to the VQA Challenge 2018. CoRR (2018)
Arslan Chaudhry, Marc'Aurelio Ranzato, Marcus Rohrbach, Mohamed Elhoseiny
Efficient Lifelong Learning with A-GEM. CoRR (2018)
Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach
Visual Coreference Resolution in Visual Dialog using Neural Module Networks. CoRR (2018)
Jae Sung Park, Marcus Rohrbach, Trevor Darrell, Anna Rohrbach
Adversarial Inference for Multi-Sentence Video Description. CoRR (2018)
Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Marcus Rohrbach
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence. CoRR (2018)
Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed M. Elgammal, Mohamed Elhoseiny
Large-Scale Visual Relationship Understanding. CoRR (2018)
Spandana Gella, Mike Lewis, Marcus Rohrbach
A Dataset for Telling the Stories of Social Media Videos. EMNLP (2018)
Anna Rohrbach, Marcus Rohrbach, Siyu Tang, Seong Joon Oh, Bernt Schiele
Generating Descriptions with Grounded and Co-Referenced People. CoRR (2017)
Rakshith Shetty, Marcus Rohrbach, Lisa Anne Hendricks, Mario Fritz, Bernt Schiele
Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training. CoRR (2017)
Anna Rohrbach, Atousa Torabi, Marcus Rohrbach, Niket Tandon, Christopher Joseph Pal, Hugo Larochelle, Aaron C. Courville, Bernt Schiele
Movie Description. Int. J. Comput. Vis. 123 (1) (2017)
Rakshith Shetty, Marcus Rohrbach, Lisa Anne Hendricks, Mario Fritz, Bernt Schiele
Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training. ICCV (2017)
Mateusz Malinowski, Marcus Rohrbach, Mario Fritz
Ask Your Neurons: A Deep Learning Approach to Visual Question Answering. Int. J. Comput. Vis. 125 (1-3) (2017)
Rahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, Marcus Rohrbach, Tinne Tuytelaars
Memory Aware Synapses: Learning what (not) to forget. CoRR (2017)
Anna Rohrbach, Marcus Rohrbach, Siyu Tang, Seong Joon Oh, Bernt Schiele
Generating Descriptions with Grounded and Co-referenced People. CVPR (2017)
Ronghang Hu, Marcus Rohrbach, Jacob Andreas, Trevor Darrell, Kate Saenko
Modeling Relationships in Referential Expressions with Compositional Modular Networks. CVPR (2017)
Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Marcus Rohrbach
Attentive Explanations: Justifying Decisions and Pointing to the Evidence (Extended Abstract). CoRR (2017)
Ronghang Hu, Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Kate Saenko
Learning to Reason: End-to-End Module Networks for Visual Question Answering. ICCV (2017)
Ronghang Hu, Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Kate Saenko
Learning to Reason: End-to-End Module Networks for Visual Question Answering. CoRR (2017)
Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, Trevor Darrell
Long-Term Recurrent Convolutional Networks for Visual Recognition and Description. IEEE Trans. Pattern Anal. Mach. Intell. 39 (4) (2017)
Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko
Captioning Images with Diverse Objects. CVPR (2017)
Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko, Trevor Darrell
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data. CVPR (2016)
Anna Rohrbach, Marcus Rohrbach, Ronghang Hu, Trevor Darrell, Bernt Schiele
Grounding of Textual Phrases in Images by Reconstruction. ECCV (1) (2016)
Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein
Learning to Compose Neural Networks for Question Answering. CoRR (2016)
Ronghang Hu, Marcus Rohrbach, Trevor Darrell
Segmentation from Natural Language Expressions. CoRR (2016)
Ronghang Hu, Marcus Rohrbach, Jacob Andreas, Trevor Darrell, Kate Saenko
Modeling Relationships in Referential Expressions with Compositional Modular Networks. CoRR (2016)
Akira Fukui, Dong Huk Park, Daylen Yang, Anna Rohrbach, Trevor Darrell, Marcus Rohrbach
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding. CoRR (2016)
Lisa Anne Hendricks, Zeynep Akata, Marcus Rohrbach, Jeff Donahue, Bernt Schiele, Trevor Darrell
Generating Visual Explanations. ECCV (4) (2016)
Anna Rohrbach, Atousa Torabi, Marcus Rohrbach, Niket Tandon, Christopher J. Pal, Hugo Larochelle, Aaron C. Courville, Bernt Schiele
Movie Description. CoRR (2016)
Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein
Learning to Compose Neural Networks for Question Answering. HLT-NAACL (2016)
Akira Fukui, Dong Huk Park, Daylen Yang, Anna Rohrbach, Trevor Darrell, Marcus Rohrbach
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding. EMNLP (2016)
Ronghang Hu, Marcus Rohrbach, Subhashini Venugopalan, Trevor Darrell
Utilizing Large Scale Vision and Text Datasets for Image Segmentation from Referring Expressions. CoRR (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Marcus Rohrbach