David Acuna
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
8
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Can Large Vision-Language Models Correct Semantic Grounding Errors By Themselves? | Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna |
| 2025 | EMNLP | 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 |
| 2024 | ECCV | Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering. | Ruofan Liang, Zan Gojcic, Merlin Nimier-David, David Acuna, Nandita Vijaykumar, Sanja Fidler, Zian Wang |
| 2024 | EMNLP | Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models. | Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna |
| 2024 | ICLR | Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets. | Yuan-Hong Liao, David Acuna, Rafid Mahmood, James Lucas, Viraj Prabhu, Sanja Fidler |
| 2023 | ICCV | 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 |
| 2022 | AISTATS | Complex Momentum for Optimization in Games. | Jonathan P. Lorraine, David Acuna, Paul Vicol, David Duvenaud |
| 2022 | CVPR | How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. | Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, Jos M. lvarez, Zhiding Yu, Sanja Fidler, Marc T. Law |
| 2022 | ECCV | Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion. | Zian Wang, Wenzheng Chen, David Acuna, Jan Kautz, Sanja Fidler |
| 2022 | ICLR | Domain Adversarial Training: A Game Perspective. | David Acuna, Marc T. Law, Guojun Zhang, Sanja Fidler |
| 2021 | ICML | f-Domain Adversarial Learning: Theory and Algorithms. | David Acuna, Guojun Zhang, Marc T. Law, Sanja Fidler |
| 2020 | CVPR | Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data. | Xi Yan, David Acuna, Sanja Fidler |
| 2019 | CVPR | Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations. | David Acuna, Amlan Kar, Sanja Fidler |
| 2019 | CVPR | Object Instance Annotation With Deep Extreme Level Set Evolution. | Zian Wang, David Acuna, Huan Ling, Amlan Kar, Sanja Fidler |
| 2019 | ICCV | 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 |
| 2019 | ICCV | 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 |
| 2019 | ICCV | Gated-SCNN: Gated Shape CNNs for Semantic Segmentation. | Towaki Takikawa, David Acuna, Varun Jampani, Sanja Fidler |
| 2019 | ICRA | 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 |
| 2018 | CVPR | Efficient Interactive Annotation of Segmentation Datasets With Polygon-RNN++. | David Acuna, Huan Ling, Amlan Kar, Sanja Fidler |
| 2018 | CVPR | 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 |