David Acuna

According to our database, David Acuna authored at least 35 papers between 2018 and 2025.

Collaborative distances:

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

2025

Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction.

Yong Lin, Shange Tang, Bohan Lyu, Ziran Yang, Jui-Hui Chung, Haoyu Zhao, Lai Jiang, Yihan Geng, Jiawei Ge, Jingruo Sun, Jiayun Wu, Jiri Gesi, Ximing Lu, David Acuna, Kaiyu Yang, Hongzhou Lin, Yejin Choi, Danqi Chen, Sanjeev Arora, Chi Jin

CoRR, August, 2025

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions.

David Acuna, Ximing Lu, Jaehun Jung, Hyunwoo Kim, Amlan Kar, Sanja Fidler, Yejin Choi

CoRR, June, 2025

Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning.

Jaehun Jung, Seungju Han, Ximing Lu, Skyler Hallinan, David Acuna, Shrimai Prabhumoye, Mostafa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Yejin Choi

CoRR, May, 2025

LongPerceptualThoughts: Distilling System-2 Reasoning for System-1 Perception.

Yuan-Hong Liao, Sven Elflein, Liu He, Laura Leal-Taixé, Yejin Choi, Sanja Fidler, David Acuna

CoRR, April, 2025

Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning.

Ximing Lu, Seungju Han, David Acuna, Hyunwoo Kim, Jaehun Jung, Shrimai Prabhumoye, Niklas Muennighoff, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Yejin Choi

CoRR, April, 2025

Can Large Vision-Language Models Correct Semantic Grounding Errors By Themselves?

Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

RefFusion: Reference Adapted Diffusion Models for 3D Scene Inpainting.

Ashkan Mirzaei, Riccardo de Lutio, Seung Wook Kim, David Acuna, Jonathan Kelly, Sanja Fidler, Igor Gilitschenski, Zan Gojcic

CoRR, 2024

Can Feedback Enhance Semantic Grounding in Large Vision-Language Models?

Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna

CoRR, 2024

Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets.

Yuan-Hong Liao, David Acuna, Rafid Mahmood, James Lucas, Viraj Prabhu, Sanja Fidler

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models.

Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering.

Ruofan Liang, Zan Gojcic, Merlin Nimier-David, David Acuna, Nandita Vijaykumar, Sanja Fidler, Zian Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Visual Learning Using Synthetic Data

David Acuna

PhD thesis, 2023

Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting.

Viraj Prabhu, David Acuna, Rafid Mahmood, Marc T. Law, Yuan-Hong Liao, Judy Hoffman, Sanja Fidler, James Lucas

Trans. Mach. Learn. Res., 2023

Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting.

Viraj Prabhu, David Acuna, Andrew Liao, Rafid Mahmood, Marc T. Law, Judy Hoffman, Sanja Fidler, James Lucas

CoRR, 2023

DreamTeacher: Pretraining Image Backbones with Deep Generative Models.

Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim, Karsten Kreis, Antonio Torralba, Sanja Fidler

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Federated Learning with Heterogeneous Architectures using Graph HyperNetworks.

Or Litany, Haggai Maron, David Acuna, Jan Kautz, Gal Chechik, Sanja Fidler

CoRR, 2022

Domain Adversarial Training: A Game Perspective.

David Acuna, Marc T. Law, Guojun Zhang, Sanja Fidler

Proceedings of the Tenth International Conference on Learning Representations, 2022

Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion.

Zian Wang, Wenzheng Chen, David Acuna, Jan Kautz, Sanja Fidler

Proceedings of the Computer Vision - ECCV 2022, 2022

How Much More Data Do I Need? Estimating Requirements for Downstream Tasks.

Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law

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

Complex Momentum for Optimization in Games.

Jonathan P. Lorraine, David Acuna, Paul Vicol, David Duvenaud

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Complex Momentum for Learning in Games.

Jonathan Lorraine, David Acuna, Paul Vicol, David Duvenaud

CoRR, 2021

Scalable Neural Data Server: A Data Recommender for Transfer Learning.

Tianshi Cao, Sasha Doubov, David Acuna, Sanja Fidler

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation.

David Acuna, Jonah Philion, Sanja Fidler

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

f-Domain Adversarial Learning: Theory and Algorithms.

David Acuna, Guojun Zhang, Marc T. Law, Sanja Fidler

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Variational Amodal Object Completion.

Huan Ling, David Acuna, Karsten Kreis, Seung Wook Kim, Sanja Fidler

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data.

Xi Yan, David Acuna, Sanja Fidler

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

2019

Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data.

Aayush Prakash, Shaad Boochoon, Mark Brophy, David Acuna, Eric Cameracci, Gavriel State, Omer Shapira, Stan Birchfield

Proceedings of the International Conference on Robotics and Automation, 2019

Gated-SCNN: Gated Shape CNNs for Semantic Segmentation.

Towaki Takikawa, David Acuna, Varun Jampani, Sanja Fidler

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

Meta-Sim: Learning to Generate Synthetic Datasets.

Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler

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

Neural Turtle Graphics for Modeling City Road Layouts.

Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler

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

Object Instance Annotation With Deep Extreme Level Set Evolution.

Zian Wang, David Acuna, Huan Ling, Amlan Kar, Sanja Fidler

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

Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations.

David Acuna, Amlan Kar, Sanja Fidler

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

2018

Conditional predictive Bayesian Cramér-Rao Lower Bounds for prognostic algorithms design.

David Acuna, Marcos E. Orchard, Raimundo Saona

Appl. Soft Comput., 2018

Training Deep Networks With Synthetic Data: Bridging the Reality Gap by Domain Randomization.

Jonathan Tremblay, Aayush Prakash, David Acuna, Mark Brophy, Varun Jampani, Cem Anil, Thang To, Eric Cameracci, Shaad Boochoon, Stan Birchfield

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

Efficient Interactive Annotation of Segmentation Datasets With Polygon-RNN++.

David Acuna, Huan Ling, Amlan Kar, Sanja Fidler

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