David Acuna

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 41

Top Topics

Diffusion Models

Level Set Evolution

Top Venues

Publications

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)
Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna
Can Feedback Enhance Semantic Grounding in Large Vision-Language Models? CoRR (2024)
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 (2024)
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 (2023)
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)
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)
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 (2023)
Or Litany, Haggai Maron, David Acuna, Jan Kautz, Gal Chechik, Sanja Fidler
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks. CoRR (2022)
Tianshi Cao, Sasha Doubov, David Acuna, Sanja Fidler
Scalable Neural Data Server: A Data Recommender for Transfer Learning. CoRR (2022)
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)
Zian Wang, Wenzheng Chen, David Acuna, Jan Kautz, Sanja Fidler
Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion. CoRR (2022)
Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, Jose M. Alvarez, Zhiding Yu, Sanja Fidler, Marc T. Law
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CVPR (2022)
Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, Jose M. Alvarez, Zhiding Yu, Sanja Fidler, Marc T. Law
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CoRR (2022)
David Acuna, Marc T. Law, Guojun Zhang, Sanja Fidler
Domain Adversarial Training: A Game Perspective. CoRR (2022)
David Acuna, Marc T. Law, Guojun Zhang, Sanja Fidler
Domain Adversarial Training: A Game Perspective. ICLR (2022)
Jonathan P. Lorraine, David Acuna, Paul Vicol, David Duvenaud
Complex Momentum for Optimization in Games. AISTATS (2022)
Jonathan Lorraine, David Acuna, Paul Vicol, David Duvenaud
Complex Momentum for Learning in Games. CoRR (2021)
David Acuna, Guojun Zhang, Marc T. Law, Sanja Fidler
f-Domain Adversarial Learning: Theory and Algorithms. ICML (2021)
David Acuna, Guojun Zhang, Marc T. Law, Sanja Fidler
f-Domain-Adversarial Learning: Theory and Algorithms. CoRR (2021)
David Acuna, Jonah Philion, Sanja Fidler
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation. NeurIPS (2021)
Tianshi Cao, Sasha Doubov, David Acuna, Sanja Fidler
Scalable Neural Data Server: A Data Recommender for Transfer Learning. NeurIPS (2021)
David Acuna, Jonah Philion, Sanja Fidler
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation. CoRR (2021)
Xi Yan, David Acuna, Sanja Fidler
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data. CVPR (2020)
Huan Ling, David Acuna, Karsten Kreis, Seung Wook Kim, Sanja Fidler
Variational Amodal Object Completion. NeurIPS (2020)
Xi Yan, David Acuna, Sanja Fidler
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data. CoRR (2020)
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)
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)
David Acuna, Amlan Kar, Sanja Fidler
Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations. CoRR (2019)
Zian Wang, David Acuna, Huan Ling, Amlan Kar, Sanja Fidler
Object Instance Annotation With Deep Extreme Level Set Evolution. CVPR (2019)
Towaki Takikawa, David Acuna, Varun Jampani, Sanja Fidler
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation. CoRR (2019)
Towaki Takikawa, David Acuna, Varun Jampani, Sanja Fidler
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation. ICCV (2019)
David Acuna, Amlan Kar, Sanja Fidler
Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations. CVPR (2019)
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)
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 (2019)
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 (2019)
David Acuna, Marcos E. Orchard, Raimundo Saona
Conditional predictive Bayesian Cramér-Rao Lower Bounds for prognostic algorithms design. Appl. Soft Comput. 72 (2018)
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)
David Acuna, Huan Ling, Amlan Kar, Sanja Fidler
Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++. CoRR (2018)
David Acuna, Huan Ling, Amlan Kar, Sanja Fidler
Efficient Interactive Annotation of Segmentation Datasets With Polygon-RNN++. CVPR (2018)
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 (2018)
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 (2018)