Marcus Rohrbach

According to our database, Marcus Rohrbach authored at least 87 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Simple Token-Level Confidence Improves Caption Correctness.

Suzanne Petryk, Spencer Whitehead, Joseph E. Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly.

Spencer Whitehead, Suzanne Petryk, Vedaad Shakib, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach

Proceedings of the Computer Vision - ECCV 2022, 2022

CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition.

Shreyank N. Gowda, Laura Sevilla-Lara, Frank Keller, Marcus Rohrbach

Proceedings of the Computer Vision - ECCV 2022, 2022

Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition.

Shreyank N. Gowda, Marcus Rohrbach, Frank Keller, Laura Sevilla-Lara

Proceedings of the Computer Vision - ECCV 2022, 2022

FLAVA: A Foundational Language And Vision Alignment Model.

Amanpreet Singh, Ronghang Hu, Vedanuj Goswami, Guillaume Couairon, Wojciech Galuba, Marcus Rohrbach, Douwe Kiela

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning To Recognize Procedural Activities with Distant Supervision.

Xudong Lin, Fabio Petroni, Gedas Bertasius, Marcus Rohrbach, Shih-Fu Chang, Lorenzo Torresani

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

Proceedings of the 9th International Conference on Learning Representations, 2021

A New Split for Evaluating True Zero-Shot Action Recognition.

Shreyank N. Gowda, Laura Sevilla-Lara, Kiyoon Kim, Frank Keller, Marcus Rohrbach

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA.

Kenneth Marino, Xinlei Chen, Devi Parikh, Abhinav Gupta, Marcus Rohrbach

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

SMART Frame Selection for Action Recognition.

Shreyank N. Gowda, Marcus Rohrbach, Laura Sevilla-Lara

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Decoupling Representation and Classifier for Long-Tailed Recognition.

Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis

Proceedings of the 8th International Conference on Learning Representations, 2020

Uncertainty-guided Continual Learning with Bayesian Neural Networks.

Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach

Proceedings of the 8th International Conference on Learning Representations, 2020

TextCaps: A Dataset for Image Captioning with Reading Comprehension.

Oleksii Sidorov, Ronghang Hu, Marcus Rohrbach, Amanpreet Singh

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning to Generate Grounded Visual Captions Without Localization Supervision.

Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib, Peter Vajda, Marcus Rohrbach, Zsolt Kira

Proceedings of the Computer Vision - ECCV 2020, 2020

Adversarial Continual Learning.

Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach

Proceedings of the Computer Vision - ECCV 2020, 2020

12-in-1: Multi-Task Vision and Language Representation Learning.

Jiasen Lu, Vedanuj Goswami, Marcus Rohrbach, Devi Parikh, Stefan Lee

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

In Defense of Grid Features for Visual Question Answering.

Huaizu Jiang, Ishan Misra, Marcus Rohrbach, Erik G. Learned-Miller, Xinlei Chen

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Iterative Answer Prediction With Pointer-Augmented Multimodal Transformers for TextVQA.

Ronghang Hu, Amanpreet Singh, Trevor Darrell, Marcus Rohrbach

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Learning to Generate Grounded Image Captions without Localization Supervision.

Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib, Peter Vajda, Marcus Rohrbach, Zsolt Kira

CoRR, 2019

Continual Learning with Tiny Episodic Memories.

Arslan Chaudhry, Marcus Rohrbach, Mohamed Elhoseiny, Thalaiyasingam Ajanthan, Puneet Kumar Dokania, Philip H. S. Torr, Marc'Aurelio Ranzato

CoRR, 2019

CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog.

Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering.

Ramakrishna Vedantam, Karan Desai, Stefan Lee, Marcus Rohrbach, Dhruv Batra, Devi Parikh

Proceedings of the 36th International Conference on Machine Learning, 2019

Efficient Lifelong Learning with A-GEM.

Arslan Chaudhry, Marc'Aurelio Ranzato, Marcus Rohrbach, Mohamed Elhoseiny

Proceedings of the 7th International Conference on Learning Representations, 2019

Selfless Sequential Learning.

Rahaf Aljundi, Marcus Rohrbach, Tinne Tuytelaars

Proceedings of the 7th International Conference on Learning Representations, 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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Grounded Video Description.

Luowei Zhou, Yannis Kalantidis, Xinlei Chen, Jason J. Corso, Marcus Rohrbach

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Towards VQA Models That Can Read.

Amanpreet Singh, Vivek Natarajan, Meet Shah, Yu Jiang, Xinlei Chen, Dhruv Batra, Devi Parikh, Marcus Rohrbach

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Cycle-Consistency for Robust Visual Question Answering.

Meet Shah, Xinlei Chen, Marcus Rohrbach, Devi Parikh

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Adversarial Inference for Multi-Sentence Video Description.

Jae Sung Park, Marcus Rohrbach, Trevor Darrell, Anna Rohrbach

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Uncertainty-Guided Continual Learning in Bayesian Neural Networks - Extended Abstract.

Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Graph-Based Global Reasoning Networks.

Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan, Shuicheng Yan, Jiashi Feng, Yannis Kalantidis

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication.

Jin-Hwa Kim, Nikita Kitaev, Xinlei Chen, Marcus Rohrbach, Byoung-Tak Zhang, Yuandong Tian, Dhruv Batra, Devi Parikh

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Large-Scale Visual Relationship Understanding.

Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed Elgammal, Mohamed Elhoseiny

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Pythia v0.1: the Winning Entry to the VQA Challenge 2018.

Yu Jiang, Vivek Natarajan, Xinlei Chen, Marcus Rohrbach, Dhruv Batra, Devi Parikh

CoRR, 2018

A Dataset for Telling the Stories of Social Media Videos.

Spandana Gella, Mike Lewis, Marcus Rohrbach

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Visual Coreference Resolution in Visual Dialog Using Neural Module Networks.

Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach

Proceedings of the Computer Vision - ECCV 2018, 2018

Memory Aware Synapses: Learning What (not) to Forget.

Rahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, Marcus Rohrbach, Tinne Tuytelaars

Proceedings of the Computer Vision - ECCV 2018, 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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Exploring the Challenges Towards Lifelong Fact Learning.

Mohamed Elhoseiny, Francesca Babiloni, Rahaf Aljundi, Marcus Rohrbach, Manohar Paluri, Tinne Tuytelaars

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Long-Term Recurrent Convolutional Networks for Visual Recognition and Description.

Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, Trevor Darrell

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Movie Description.

Anna Rohrbach, Atousa Torabi, Marcus Rohrbach, Niket Tandon, Christopher Joseph Pal, Hugo Larochelle, Aaron C. Courville, Bernt Schiele

Int. J. Comput. Vis., 2017

Ask Your Neurons: A Deep Learning Approach to Visual Question Answering.

Mateusz Malinowski, Marcus Rohrbach, Mario Fritz

Int. J. Comput. Vis., 2017

Attentive Explanations: Justifying Decisions and Pointing to the Evidence (Extended Abstract).

Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Marcus Rohrbach

CoRR, 2017

Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training.

Rakshith Shetty, Marcus Rohrbach, Lisa Anne Hendricks, Mario Fritz, Bernt Schiele

Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning to Reason: End-to-End Module Networks for Visual Question Answering.

Ronghang Hu, Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Kate Saenko

Proceedings of the IEEE International Conference on Computer Vision, 2017

Captioning Images with Diverse Objects.

Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Generating Descriptions with Grounded and Co-referenced People.

Anna Rohrbach, Marcus Rohrbach, Siyu Tang, Seong Joon Oh, Bernt Schiele

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Modeling Relationships in Referential Expressions with Compositional Modular Networks.

Ronghang Hu, Marcus Rohrbach, Jacob Andreas, Trevor Darrell, Kate Saenko

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Recognizing Fine-Grained and Composite Activities Using Hand-Centric Features and Script Data.

Marcus Rohrbach, Anna Rohrbach, Michaela Regneri, Sikandar Amin, Mykhaylo Andriluka, Manfred Pinkal, Bernt Schiele

Int. J. Comput. Vis., 2016

Attributes as Semantic Units between Natural Language and Visual Recognition.

Marcus Rohrbach

CoRR, 2016

Attentive Explanations: Justifying Decisions and Pointing to the Evidence.

Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Bernt Schiele, Trevor Darrell, Marcus Rohrbach

CoRR, 2016

Utilizing Large Scale Vision and Text Datasets for Image Segmentation from Referring Expressions.

Ronghang Hu, Marcus Rohrbach, Subhashini Venugopalan, Trevor Darrell

CoRR, 2016

Learning to Compose Neural Networks for Question Answering.

Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein

Proceedings of the NAACL HLT 2016, 2016

Multimodal Video Description.

Vasili Ramanishka, Abir Das, Dong Huk Park, Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Kate Saenko

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding.

Akira Fukui, Dong Huk Park, Daylen Yang, Anna Rohrbach, Trevor Darrell, Marcus Rohrbach

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Grounding of Textual Phrases in Images by Reconstruction.

Anna Rohrbach, Marcus Rohrbach, Ronghang Hu, Trevor Darrell, Bernt Schiele

Proceedings of the Computer Vision - ECCV 2016, 2016

Segmentation from Natural Language Expressions.

Ronghang Hu, Marcus Rohrbach, Trevor Darrell

Proceedings of the Computer Vision - ECCV 2016, 2016

Generating Visual Explanations.

Lisa Anne Hendricks, Zeynep Akata, Marcus Rohrbach, Jeff Donahue, Bernt Schiele, Trevor Darrell

Proceedings of the Computer Vision - ECCV 2016, 2016

Natural Language Object Retrieval.

Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data.

Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko, Trevor Darrell

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Neural Module Networks.

Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

A Multi-scale Multiple Instance Video Description Network.

Huijuan Xu, Subhashini Venugopalan, Vasili Ramanishka, Marcus Rohrbach, Kate Saenko

CoRR, 2015

Deep Compositional Question Answering with Neural Module Networks.

Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein

CoRR, 2015

Translating Videos to Natural Language Using Deep Recurrent Neural Networks.

Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Sequence to Sequence - Video to Text.

Subhashini Venugopalan, Marcus Rohrbach, Jeffrey Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Spatial Semantic Regularisation for Large Scale Object Detection.

Damian Mrowca, Marcus Rohrbach, Judy Hoffman, Ronghang Hu, Kate Saenko, Trevor Darrell

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Ask Your Neurons: A Neural-Based Approach to Answering Questions about Images.

Mateusz Malinowski, Marcus Rohrbach, Mario Fritz

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

The Long-Short Story of Movie Description.

Anna Rohrbach, Marcus Rohrbach, Bernt Schiele

Proceedings of the Pattern Recognition - 37th German Conference, 2015

A dataset for Movie Description.

Anna Rohrbach, Marcus Rohrbach, Niket Tandon, Bernt Schiele

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Combining visual recognition and computational linguistics : linguistic knowledge for visual recognition and natural language descriptions of visual content.

Marcus Rohrbach

PhD thesis, 2014

Coherent Multi-Sentence Video Description with Variable Level of Detail.

Anna Senina, Marcus Rohrbach, Wei Qiu, Annemarie Friedrich, Sikandar Amin, Mykhaylo Andriluka, Manfred Pinkal, Bernt Schiele

CoRR, 2014

Coherent Multi-sentence Video Description with Variable Level of Detail.

Anna Rohrbach, Marcus Rohrbach, Wei Qiu, Annemarie Friedrich, Manfred Pinkal, Bernt Schiele

Proceedings of the Pattern Recognition - 36th German Conference, 2014

2013

Grounding Action Descriptions in Videos.

Michaela Regneri, Marcus Rohrbach, Dominikus Wetzel, Stefan Thater, Bernt Schiele, Manfred Pinkal

Trans. Assoc. Comput. Linguistics, 2013

Transfer Learning in a Transductive Setting.

Marcus Rohrbach, Sandra Ebert, Bernt Schiele

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Translating Video Content to Natural Language Descriptions.

Marcus Rohrbach, Wei Qiu, Ivan Titov, Stefan Thater, Manfred Pinkal, Bernt Schiele

Proceedings of the IEEE International Conference on Computer Vision, 2013

Multi-view Pictorial Structures for 3D Human Pose Estimation.

Sikandar Amin, Mykhaylo Andriluka, Marcus Rohrbach, Bernt Schiele

Proceedings of the British Machine Vision Conference, 2013

2012

3D Object Detection with Multiple Kinects.

Wandi Susanto, Marcus Rohrbach, Bernt Schiele

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Script Data for Attribute-Based Recognition of Composite Activities.

Marcus Rohrbach, Michaela Regneri, Mykhaylo Andriluka, Sikandar Amin, Manfred Pinkal, Bernt Schiele

Proceedings of the Computer Vision - ECCV 2012, 2012

A database for fine grained activity detection of cooking activities.

Marcus Rohrbach, Sikandar Amin, Mykhaylo Andriluka, Bernt Schiele

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

The Benefits of Dense Stereo for Pedestrian Detection.

Christoph Gustav Keller, Markus Enzweiler, Marcus Rohrbach, David Fernández Llorca, Christoph Schnörr, Dariu M. Gavrila

IEEE Trans. Intell. Transp. Syst., 2011

Evaluating knowledge transfer and zero-shot learning in a large-scale setting.

Marcus Rohrbach, Michael Stark, Bernt Schiele

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Combining Language Sources and Robust Semantic Relatedness for Attribute-Based Knowledge Transfer.

Marcus Rohrbach, Michael Stark, György Szarvas, Bernt Schiele

Proceedings of the Trends and Topics in Computer Vision, 2010

What helps where - and why? Semantic relatedness for knowledge transfer.

Marcus Rohrbach, Michael Stark, György Szarvas, Iryna Gurevych, Bernt Schiele

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

High-Level Fusion of Depth and Intensity for Pedestrian Classification.

Marcus Rohrbach, Markus Enzweiler, Dariu M. Gavrila

Proceedings of the Pattern Recognition, 2009