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David Acuna
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2020 – today
- 2024
- [c20]Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna:
Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models. EMNLP 2024: 17028-17047 - [c19]Yuan-Hong Liao, David Acuna, Rafid Mahmood, James Lucas, Viraj Prabhu, Sanja Fidler:
Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets. ICLR 2024 - [i22]Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna:
Can Feedback Enhance Semantic Grounding in Large Vision-Language Models? CoRR abs/2404.06510 (2024) - [i21]Ashkan Mirzaei, Riccardo de Lutio, Seung Wook Kim, David Acuna, Jonathan Kelly, Sanja Fidler, Igor Gilitschenski, Zan Gojcic:
RefFusion: Reference Adapted Diffusion Models for 3D Scene Inpainting. CoRR abs/2404.10765 (2024) - [i20]Ruofan Liang, Zan Gojcic, Merlin Nimier-David, David Acuna, Nandita Vijaykumar, Sanja Fidler, Zian Wang:
Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering. CoRR abs/2408.09702 (2024) - [i19]Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna:
Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models. CoRR abs/2409.09788 (2024) - 2023
- [j2]Viraj Prabhu, David Acuna, Rafid Mahmood, Marc T. Law, Yuan-Hong Liao, Judy Hoffman, Sanja Fidler, James Lucas:
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. Trans. Mach. Learn. Res. 2023 (2023) - [c18]Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim, Karsten Kreis, Antonio Torralba, Sanja Fidler:
DreamTeacher: Pretraining Image Backbones with Deep Generative Models. ICCV 2023: 16652-16662 - [i18]Viraj Prabhu, David Acuna, Andrew Liao, Rafid Mahmood, Marc T. Law, Judy Hoffman, Sanja Fidler, James Lucas:
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. CoRR abs/2302.04832 (2023) - [i17]Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim, Karsten Kreis, Antonio Torralba, Sanja Fidler:
DreamTeacher: Pretraining Image Backbones with Deep Generative Models. CoRR abs/2307.07487 (2023) - 2022
- [c17]Jonathan P. Lorraine, David Acuna, Paul Vicol, David Duvenaud:
Complex Momentum for Optimization in Games. AISTATS 2022: 7742-7765 - [c16]Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law:
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CVPR 2022: 275-284 - [c15]Zian Wang, Wenzheng Chen, David Acuna, Jan Kautz, Sanja Fidler:
Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion. ECCV (2) 2022: 380-397 - [c14]David Acuna, Marc T. Law, Guojun Zhang, Sanja Fidler:
Domain Adversarial Training: A Game Perspective. ICLR 2022 - [i16]Or Litany, Haggai Maron, David Acuna, Jan Kautz, Gal Chechik, Sanja Fidler:
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks. CoRR abs/2201.08459 (2022) - [i15]David Acuna, Marc T. Law, Guojun Zhang, Sanja Fidler:
Domain Adversarial Training: A Game Perspective. CoRR abs/2202.05352 (2022) - [i14]Tianshi Cao, Sasha Doubov, David Acuna, Sanja Fidler:
Scalable Neural Data Server: A Data Recommender for Transfer Learning. CoRR abs/2206.09386 (2022) - [i13]Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law:
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CoRR abs/2207.01725 (2022) - [i12]Zian Wang, Wenzheng Chen, David Acuna, Jan Kautz, Sanja Fidler:
Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion. CoRR abs/2208.09480 (2022) - 2021
- [c13]David Acuna, Guojun Zhang, Marc T. Law, Sanja Fidler:
f-Domain Adversarial Learning: Theory and Algorithms. ICML 2021: 66-75 - [c12]David Acuna, Jonah Philion, Sanja Fidler:
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation. NeurIPS 2021: 1686-1699 - [c11]Tianshi Cao, Sasha Doubov, David Acuna, Sanja Fidler:
Scalable Neural Data Server: A Data Recommender for Transfer Learning. NeurIPS 2021: 8984-8997 - [i11]Jonathan Lorraine
, David Acuna, Paul Vicol, David Duvenaud:
Complex Momentum for Learning in Games. CoRR abs/2102.08431 (2021) - [i10]David Acuna, Guojun Zhang, Marc T. Law, Sanja Fidler:
f-Domain-Adversarial Learning: Theory and Algorithms. CoRR abs/2106.11344 (2021) - [i9]David Acuna, Jonah Philion, Sanja Fidler:
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation. CoRR abs/2111.07971 (2021) - 2020
- [c10]Xi Yan, David Acuna, Sanja Fidler:
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data. CVPR 2020: 3892-3901 - [c9]Huan Ling, David Acuna, Karsten Kreis, Seung Wook Kim, Sanja Fidler:
Variational Amodal Object Completion. NeurIPS 2020 - [i8]Xi Yan, David Acuna, Sanja Fidler:
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data. CoRR abs/2001.02799 (2020)
2010 – 2019
- 2019
- [c8]Zian Wang, David Acuna, Huan Ling, Amlan Kar, Sanja Fidler:
Object Instance Annotation With Deep Extreme Level Set Evolution. CVPR 2019: 7500-7508 - [c7]David Acuna, Amlan Kar, Sanja Fidler:
Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations. CVPR 2019: 11075-11083 - [c6]Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler:
Neural Turtle Graphics for Modeling City Road Layouts. ICCV 2019: 4521-4529 - [c5]Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler:
Meta-Sim: Learning to Generate Synthetic Datasets. ICCV 2019: 4550-4559 - [c4]Towaki Takikawa, David Acuna, Varun Jampani, Sanja Fidler:
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation. ICCV 2019: 5228-5237 - [c3]Aayush Prakash, Shaad Boochoon, Mark Brophy, David Acuna, Eric Cameracci, Gavriel State, Omer Shapira, Stan Birchfield:
Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data. ICRA 2019: 7249-7255 - [i7]David Acuna, Amlan Kar, Sanja Fidler:
Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations. CoRR abs/1904.07934 (2019) - [i6]Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler:
Meta-Sim: Learning to Generate Synthetic Datasets. CoRR abs/1904.11621 (2019) - [i5]Towaki Takikawa, David Acuna, Varun Jampani, Sanja Fidler:
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation. CoRR abs/1907.05740 (2019) - [i4]Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler:
Neural Turtle Graphics for Modeling City Road Layouts. CoRR abs/1910.02055 (2019) - 2018
- [j1]David Acuna
Conditional predictive Bayesian Cramér-Rao Lower Bounds for prognostic algorithms design. Appl. Soft Comput. 72: 647-665 (2018) - [c2]David Acuna, Huan Ling, Amlan Kar, Sanja Fidler:
Efficient Interactive Annotation of Segmentation Datasets With Polygon-RNN++. CVPR 2018: 859-868 - [c1]Jonathan Tremblay, Aayush Prakash, David Acuna, Mark Brophy, Varun Jampani, Cem Anil, Thang To, Eric Cameracci, Shaad Boochoon, Stan Birchfield:
Training Deep Networks With Synthetic Data: Bridging the Reality Gap by Domain Randomization. CVPR Workshops 2018: 969-977 - [i3]David Acuna, Huan Ling, Amlan Kar, Sanja Fidler:
Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++. CoRR abs/1803.09693 (2018) - [i2]Jonathan Tremblay, Aayush Prakash, David Acuna, Mark Brophy, Varun Jampani, Cem Anil, Thang To, Eric Cameracci, Shaad Boochoon, Stan Birchfield:
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization. CoRR abs/1804.06516 (2018) - [i1]Aayush Prakash, Shaad Boochoon, Mark Brophy, David Acuna, Eric Cameracci, Gavriel State, Omer Shapira, Stan Birchfield:
Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data. CoRR abs/1810.10093 (2018)
Coauthor Index
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