| Learning to infer and execute 3d shape programs Y Tian, A Luo, X Sun, K Ellis, WT Freeman, JB Tenenbaum, J Wu arXiv preprint arXiv:1901.02875, 2019 | 166 | 2019 |
| End-to-End Optimization of Scene Layout A Luo, Z Zhang, J Wu, JB Tenenbaum Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 84 | 2020 |
| Structural basis of the ultrasensitive calcium indicator GCaMP6 JJ Ding, AF Luo, LY Hu, DC Wang, F Shao Science china life sciences 57, 269-274, 2014 | 84 | 2014 |
| Learning neural acoustic fields A Luo, Y Du, M Tarr, J Tenenbaum, A Torralba, C Gan Advances in Neural Information Processing Systems 35, 3165--3177, 2022 | 70 | 2022 |
| SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators A Luo, T Li, WH Zhang, TS Lee Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021 | 32 | 2021 |
| Prototype memory and attention mechanisms for few shot image generation T Li, Z Li, A Luo, H Rockwell, A Farimani, TS Lee Proceedings of the Eleventh International Conference on Learning …, 2022 | 26 | 2022 |
| Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models AF Luo, MM Henderson, L Wehbe, MJ Tarr Advances in Neural Information Processing Systems, 2023 | 17 | 2023 |
| BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity AF Luo, MM Henderson, MJ Tarr, L Wehbe The Twelfth International Conference on Learning Representations (ICLR), 2024 | 10 | 2024 |
| Yilun Du, Michael J Tarr, Joshua B Tenenbaum, Antonio Torralba, and Chuang Gan A Luo Learning neural acoustic fields. arXiv preprint arXiv 2, 2021 | 7 | 2021 |
| Neural selectivity for real-world object size in natural images AF Luo, L Wehbe, MJ Tarr, MM Henderson BioRxiv, 2023.03. 17.533179, 2023 | 3 | 2023 |
| Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers AF Luo, J Yeung, R Zawar, S Dewan, MM Henderson, L Wehbe, MJ Tarr arXiv preprint arXiv:2410.05266, 2024 | 1 | 2024 |
| Neural Representations of Dynamic Visual Stimuli J Yeung, AF Luo, G Sarch, M Henderson, D Ramanan, M Tarr arXiv preprint arXiv:2406.02659, 2024 | 1 | 2024 |
| DiffusionPID: Interpreting Diffusion via Partial Information Decomposition S Dewan, R Zawar, P Saxena, Y Chang, A Luo, Y Bisk Advances in Neural Information Processing Systems (NeurIPS), 2024 | 1 | 2024 |
| Leveraging Vision and Language Generative Models to Understand the Visual Cortex A Luo, M Henderson, L Wehbe, M Tarr Journal of Vision 24 (10), 1333-1333, 2024 | | 2024 |
| StableSemantics: A Synthetic Language-Vision Dataset of Semantic Representations in Naturalistic Images R Zawar, S Dewan, AF Luo, MM Henderson, MJ Tarr, L Wehbe arXiv preprint arXiv:2406.13735, 2024 | | 2024 |
| Disentangled Acoustic Fields For Multimodal Physical Scene Understanding J Yin, A Luo, Y Du, A Cherian, TK Marks, J Le Roux, C Gan 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024 | | 2024 |
| The Neural Representation of Real-World Object Size in Natural Images A Luo, L Wehbe, M Tarr, M Henderson Conference on Cognitive Computational Neuroscience, 2022 | | 2022 |
| Computational Exploration of Higher Visual Selectivity in the Human Brain A Luo Carnegie Mellon University, 0 | | |
Michael J. TarrDepartment of Psychology, Neuroscience Institute, Machine Learning, Carnegie Mellon UniversityПідтверджена електронна адреса в cmu.edu