| Simple Token-Level Confidence Improves Caption Correctness S Petryk, S Whitehead, JE Gonzalez, T Darrell, A Rohrbach, M Rohrbach IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024 | 3 | 2024 |
| Efficient Pre-training for Localized Instruction Generation of Videos A Batra, D Moltisanti, L Sevilla-Lara, M Rohrbach, F Keller arXiv preprint arXiv:2311.15964, 2023 | | 2023 |
| Improving Selective Visual Question Answering by Learning From Your Peers C Dancette, S Whitehead, R Maheshwary, R Vedantam, S Scherer, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 11 | 2023 |
| Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition SN Gowda, M Rohrbach, F Keller, L Sevilla-Lara European Conference on Computer Vision (ECCV), 2022 | 25 | 2022 |
| Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly S Whitehead, S Petryk, V Shakib, J Gonzalez, T Darrell, A Rohrbach, ... European Conference on Computer Vision (ECCV), 2022 | 31 | 2022 |
| CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition SN Gowda, L Sevilla-Lara, F Keller, M Rohrbach European Conference on Computer Vision (ECCV), 2022 | 28 | 2022 |
| FLAVA: A Foundational Language And Vision Alignment Model A Singh, R Hu, V Goswami, G Couairon, W Galuba, M Rohrbach, D Kiela IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 455 | 2022 |
| Learning To Recognize Procedural Activities with Distant Supervision X Lin, F Petroni, G Bertasius, M Rohrbach, SF Chang, L Torresani IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 53 | 2022 |
| A new split for evaluating true zero-shot action recognition SN Gowda, L Sevilla-Lara, K Kim, F Keller, M Rohrbach DAGM German Conference on Pattern Recognition, 191-205, 2021 | 30 | 2021 |
| KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA K Marino, X Chen, D Parikh, A Gupta, M Rohrbach IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 182 | 2021 |
| SMART Frame Selection for Action Recognition SN Gowda, M Rohrbach, L Sevilla-Lara AAAI Conference on Artificial Intelligence (AAAI), 2021 | 148 | 2021 |
| Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting S Ebrahimi, S Petryk, A Gokul, W Gan, JE Gonzalez, M Rohrbach, ... ICLR, 2021 | 48 | 2021 |
| TextCaps: a Dataset for Image Captioning with Reading Comprehension O Sidorov, R Hu, M Rohrbach, A Singh European Conference on Computer Vision (ECCV), 2020 | 249 | 2020 |
| Adversarial Continual Learning S Ebrahimi, F Meier, R Calandra, T Darrell, M Rohrbach European Conference on Computer Vision (ECCV), 2020 | 192 | 2020 |
| Learning to generate grounded image captions without localization supervision CY Ma, Y Kalantidis, G AlRegib, P Vajda, M Rohrbach, Z Kira European Conference on Computer Vision (ECCV), 2020 | 46* | 2020 |
| In Defense of Grid Features for Visual Question Answering H Jiang, I Misra, M Rohrbach, E Learned-Miller, X Chen IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 355 | 2020 |
| 12-in-1: Multi-Task Vision and Language Representation Learning J Lu, V Goswami, M Rohrbach, D Parikh, S Lee IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 501 | 2020 |
| Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA R Hu, A Singh, T Darrell, M Rohrbach IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 211 | 2020 |
| Decoupling Representation and Classifier for Long-Tailed Recognition B Kang, S Xie, M Rohrbach, Z Yan, A Gordo, J Feng, Y Kalantidis International Conference on Learning Representations (ICLR), 2020 | 1170 | 2020 |
| Uncertainty-guided Continual Learning with Bayesian Neural Networks S Ebrahimi, M Elhoseiny, T Darrell, M Rohrbach International Conference on Learning Representations (ICLR), 2020 | 224 | 2020 |
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
