High-Level Fusion of Depth and Intensity for Pedestrian Classification. - Marcus Rohrbach; Markus Enzweiler; Dariu M. Gavrila (DAGM-Symposium, 2009)

What helps where - and why? Semantic relatedness for knowledge transfer. - Marcus Rohrbach; Michael Stark 003; György Szarvas; Iryna Gurevych; Bernt Schiele (CVPR, 2010)

Combining Language Sources and Robust Semantic Relatedness for Attribute-Based Knowledge Transfer. - Marcus Rohrbach; Michael Stark 003; György Szarvas; Bernt Schiele (ECCV Workshops (1), 2010)

Evaluating knowledge transfer and zero-shot learning in a large-scale setting. - Marcus Rohrbach; Michael Stark 003; Bernt Schiele (CVPR, 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)

A database for fine grained activity detection of cooking activities. - Marcus Rohrbach; Sikandar Amin; Mykhaylo Andriluka; Bernt Schiele (CVPR, 2012)

Script Data for Attribute-Based Recognition of Composite Activities. - Marcus Rohrbach; Michaela Regneri; Mykhaylo Andriluka; Sikandar Amin; Manfred Pinkal; Bernt Schiele (ECCV (1), 2012)

3D Object Detection with Multiple Kinects. - Wandi Susanto; Marcus Rohrbach; Bernt Schiele (ECCV Workshops (2), 2012)

Multi-view Pictorial Structures for 3D Human Pose Estimation. - Sikandar Amin; Mykhaylo Andriluka; Marcus Rohrbach; Bernt Schiele (BMVC, 2013)

Translating Video Content to Natural Language Descriptions. - Marcus Rohrbach; Wei Qiu; Ivan Titov 001; Stefan Thater; Manfred Pinkal; Bernt Schiele (ICCV, 2013)

Transfer Learning in a Transductive Setting. - Marcus Rohrbach; Sandra Ebert; Bernt Schiele (NIPS, 2013)

Grounding Action Descriptions in Videos. - Michaela Regneri; Marcus Rohrbach; Dominikus Wetzel; Stefan Thater; Bernt Schiele; Manfred Pinkal (Trans. Assoc. Comput. Linguistics, 2013)

Coherent Multi-sentence Video Description with Variable Level of Detail. - Anna Rohrbach; Marcus Rohrbach; Wei Qiu; Annemarie Friedrich; Manfred Pinkal; Bernt Schiele (GCPR, 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)

Combining visual recognition and computational linguistics : linguistic knowledge for visual recognition and natural language descriptions of visual content. - Marcus Rohrbach (2014)

A dataset for Movie Description. - Anna Rohrbach; Marcus Rohrbach; Niket Tandon; Bernt Schiele (CVPR, 2015)

The Long-Short Story of Movie Description. - Anna Rohrbach; Marcus Rohrbach; Bernt Schiele (GCPR, 2015)

Ask Your Neurons: A Neural-Based Approach to Answering Questions about Images. - Mateusz Malinowski; Marcus Rohrbach; Mario Fritz (ICCV, 2015)

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

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

Translating Videos to Natural Language Using Deep Recurrent Neural Networks. - Subhashini Venugopalan; Huijuan Xu 001; Jeff Donahue; Marcus Rohrbach; Raymond J. Mooney; Kate Saenko (HLT-NAACL, 2015)

Deep Compositional Question Answering with Neural Module Networks. - Jacob Andreas; Marcus Rohrbach; Trevor Darrell; Dan Klein 001 (CoRR, 2015)

A Multi-scale Multiple Instance Video Description Network. - Huijuan Xu 001; Subhashini Venugopalan; Vasili Ramanishka; Marcus Rohrbach; Kate Saenko (CoRR, 2015)

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 (AAAI, 2016)

Neural Module Networks. - Jacob Andreas; Marcus Rohrbach; Trevor Darrell; Dan Klein 001 (CVPR, 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 (CVPR, 2016)

Natural Language Object Retrieval. - Ronghang Hu; Huazhe Xu; Marcus Rohrbach; Jiashi Feng; Kate Saenko; Trevor Darrell (CVPR, 2016)

Generating Visual Explanations. - Lisa Anne Hendricks; Zeynep Akata; Marcus Rohrbach; Jeff Donahue; Bernt Schiele; Trevor Darrell (ECCV (4), 2016)

Segmentation from Natural Language Expressions. - Ronghang Hu; Marcus Rohrbach; Trevor Darrell (ECCV (1), 2016)

Grounding of Textual Phrases in Images by Reconstruction. - Anna Rohrbach; Marcus Rohrbach; Ronghang Hu; Trevor Darrell; Bernt Schiele (ECCV (1), 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 (EMNLP, 2016)

Multimodal Video Description. - Vasili Ramanishka; Abir Das; Dong Huk Park; Subhashini Venugopalan; Lisa Anne Hendricks; Marcus Rohrbach; Kate Saenko (ACM Multimedia, 2016)

Learning to Compose Neural Networks for Question Answering. - Jacob Andreas; Marcus Rohrbach; Trevor Darrell; Dan Klein 001 (HLT-NAACL, 2016)

Utilizing Large Scale Vision and Text Datasets for Image Segmentation from Referring Expressions. - Ronghang Hu; Marcus Rohrbach; Subhashini Venugopalan; Trevor Darrell (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)

Attributes as Semantic Units between Natural Language and Visual Recognition. - Marcus Rohrbach (CoRR, 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)

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

Generating Descriptions with Grounded and Co-referenced People. - Anna Rohrbach; Marcus Rohrbach; Siyu Tang 001; Seong Joon Oh; Bernt Schiele (CVPR, 2017)

Captioning Images with Diverse Objects. - Subhashini Venugopalan; Lisa Anne Hendricks; Marcus Rohrbach; Raymond J. Mooney; Trevor Darrell; Kate Saenko (CVPR, 2017)

Learning to Reason: End-to-End Module Networks for Visual Question Answering. - Ronghang Hu; Jacob Andreas; Marcus Rohrbach; 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 (ICCV, 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)

Ask Your Neurons: A Deep Learning Approach to Visual Question Answering. - Mateusz Malinowski; Marcus Rohrbach; Mario Fritz (Int. J. Comput. Vis., 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)

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)

Exploring the Challenges Towards Lifelong Fact Learning. - Mohamed Elhoseiny; Francesca Babiloni; Rahaf Aljundi; Marcus Rohrbach; Manohar Paluri; Tinne Tuytelaars (ACCV (6), 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 (CVPR, 2018)

Memory Aware Synapses: Learning What (not) to Forget. - Rahaf Aljundi; Francesca Babiloni; Mohamed Elhoseiny; Marcus Rohrbach; Tinne Tuytelaars (ECCV (3), 2018)

Visual Coreference Resolution in Visual Dialog Using Neural Module Networks. - Satwik Kottur; José M. F. Moura; Devi Parikh; Dhruv Batra; Marcus Rohrbach (ECCV (15), 2018)

A Dataset for Telling the Stories of Social Media Videos. - Spandana Gella; Mike Lewis; Marcus Rohrbach (EMNLP, 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)

Large-Scale Visual Relationship Understanding. - Ji Zhang; Yannis Kalantidis; Marcus Rohrbach; Manohar Paluri; Ahmed Elgammal; Mohamed Elhoseiny (AAAI, 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 (ACL (1), 2019)

Graph-Based Global Reasoning Networks. - Yunpeng Chen; Marcus Rohrbach; Zhicheng Yan 001; Shuicheng Yan; Jiashi Feng; Yannis Kalantidis (CVPR, 2019)

Uncertainty-Guided Continual Learning in Bayesian Neural Networks - Extended Abstract. - Sayna Ebrahimi; Mohamed Elhoseiny; Trevor Darrell; Marcus Rohrbach (CVPR Workshops, 2019)

Adversarial Inference for Multi-Sentence Video Description. - Jae Sung Park; Marcus Rohrbach; Trevor Darrell; Anna Rohrbach (CVPR Workshops, 2019)

Cycle-Consistency for Robust Visual Question Answering. - Meet Shah 001; Xinlei Chen; Marcus Rohrbach; Devi Parikh (CVPR, 2019)

DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition. - Zheng Shou 001; Xudong Lin 003; Yannis Kalantidis; Laura Sevilla-Lara; Marcus Rohrbach; Shih-Fu Chang; Zhicheng Yan 001 (CVPR, 2019)

Towards VQA Models That Can Read. - Amanpreet Singh; Vivek Natarajan; Meet Shah 001; Yu Jiang; Xinlei Chen; Dhruv Batra; Devi Parikh; Marcus Rohrbach (CVPR, 2019)

Grounded Video Description. - Luowei Zhou; Yannis Kalantidis; Xinlei Chen; Jason J. Corso; Marcus Rohrbach (CVPR Workshops, 2019)

Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution. - Yunpeng Chen; Haoqi Fan 001; Bing Xu; Zhicheng Yan 001; Yannis Kalantidis; Marcus Rohrbach; Shuicheng Yan; Jiashi Feng (ICCV, 2019)

Selfless Sequential Learning. - Rahaf Aljundi; Marcus Rohrbach; Tinne Tuytelaars (ICLR (Poster), 2019)

Efficient Lifelong Learning with A-GEM. - Arslan Chaudhry; Marc'Aurelio Ranzato; Marcus Rohrbach; Mohamed Elhoseiny (ICLR (Poster), 2019)

Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering. - Ramakrishna Vedantam; Karan Desai; Stefan Lee; Marcus Rohrbach; Dhruv Batra; Devi Parikh (ICML, 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 (NAACL-HLT (1), 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)

Learning to Generate Grounded Image Captions without Localization Supervision. - Chih-Yao Ma; Yannis Kalantidis; Ghassan AlRegib; Peter Vajda; Marcus Rohrbach; Zsolt Kira (CoRR, 2019)

Iterative Answer Prediction With Pointer-Augmented Multimodal Transformers for TextVQA. - Ronghang Hu; Amanpreet Singh; Trevor Darrell; Marcus Rohrbach (CVPR, 2020)

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

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

Adversarial Continual Learning. - Sayna Ebrahimi; Franziska Meier; Roberto Calandra; Trevor Darrell; Marcus Rohrbach (ECCV (11), 2020)

Learning to Generate Grounded Visual Captions Without Localization Supervision. - Chih-Yao Ma; Yannis Kalantidis; Ghassan AlRegib; Peter Vajda; Marcus Rohrbach; Zsolt Kira (ECCV (18), 2020)

TextCaps: A Dataset for Image Captioning with Reading Comprehension. - Oleksii Sidorov; Ronghang Hu; Marcus Rohrbach; Amanpreet Singh (ECCV (2), 2020)

Uncertainty-guided Continual Learning with Bayesian Neural Networks. - Sayna Ebrahimi; Mohamed Elhoseiny; Trevor Darrell; Marcus Rohrbach (ICLR, 2020)

Decoupling Representation and Classifier for Long-Tailed Recognition. - Bingyi Kang; Saining Xie; Marcus Rohrbach; Zhicheng Yan 001; Albert Gordo; Jiashi Feng; Yannis Kalantidis (ICLR, 2020)

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

KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA. - Kenneth Marino; Xinlei Chen; Devi Parikh; Abhinav Gupta 001; Marcus Rohrbach (CVPR, 2021)

A New Split for Evaluating True Zero-Shot Action Recognition. - Shreyank N. Gowda; Laura Sevilla-Lara; Kiyoon Kim; Frank Keller; Marcus Rohrbach (GCPR, 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 (ICLR, 2021)

Learning To Recognize Procedural Activities with Distant Supervision. - Xudong Lin 003; Fabio Petroni; Gedas Bertasius; Marcus Rohrbach; Shih-Fu Chang; Lorenzo Torresani (CVPR, 2022)

FLAVA: A Foundational Language And Vision Alignment Model. - Amanpreet Singh; Ronghang Hu; Vedanuj Goswami; Guillaume Couairon; Wojciech Galuba; Marcus Rohrbach; Douwe Kiela (CVPR, 2022)

Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition. - Shreyank N. Gowda; Marcus Rohrbach; Frank Keller; Laura Sevilla-Lara (ECCV (31), 2022)

CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition. - Shreyank N. Gowda; Laura Sevilla-Lara; Frank Keller; Marcus Rohrbach (ECCV (20), 2022)

Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly. - Spencer Whitehead; Suzanne Petryk; Vedaad Shakib; Joseph Gonzalez 001; Trevor Darrell; Anna Rohrbach; Marcus Rohrbach (ECCV (36), 2022)

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 (CVPR, 2023)

Efficient Pre-training for Localized Instruction Generation of Procedural Videos. - Anil Batra; Davide Moltisanti; Laura Sevilla-Lara; Marcus Rohrbach; Frank Keller (ECCV (39), 2024)

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

The Surprising Effectiveness of Multimodal Large Language Models for Video Moment Retrieval. - Boris Meinardus; Anil Batra; Anna Rohrbach; Marcus Rohrbach (CoRR, 2024)

DEFAME: Dynamic Evidence-based FAct-checking with Multimodal Experts. - Tobias Braun; Mark Rothermel; Marcus Rohrbach; Anna Rohrbach (CoRR, 2024)

Predicting Implicit Arguments in Procedural Video Instructions. - Anil Batra; Laura Sevilla-Lara; Marcus Rohrbach; Frank Keller (ACL (1), 2025)

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

V2Dial: Unification of Video and Visual Dialog via Multimodal Experts. - Adnen Abdessaied; Anna Rohrbach; Marcus Rohrbach; Andreas Bulling (CoRR, 2025)

When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning. - Nishad Singhi; Hritik Bansal; Arian Hosseini; Aditya Grover; Kai-Wei Chang; Marcus Rohrbach; Anna Rohrbach (CoRR, 2025)

Erased but Not Forgotten: How Backdoors Compromise Concept Erasure. - Jonas Henry Grebe; Tobias Braun; Marcus Rohrbach; Anna Rohrbach (CoRR, 2025)

Variational Visual Question Answering. - Tobias Jan Wieczorek; Nathalie Daun; Mohammad Emtiyaz Khan; Marcus Rohrbach (CoRR, 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 (CoRR, 2025)