| Single-image depth perception in the wild W Chen, Z Fu, D Yang, J Deng Advances in Neural Information Processing Systems, 730-738, 2016 | 581 | 2016 |
| Decorrelated batch normalization L Huang, D Yang, B Lang, J Deng Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 211 | 2018 |
| Invisible for both camera and lidar: Security of multi-sensor fusion based perception in autonomous driving under physical-world attacks Y Cao, N Wang, C Xiao, D Yang, J Fang, R Yang, QA Chen, M Liu, B Li 2021 IEEE symposium on security and privacy (SP), 176-194, 2021 | 164 | 2021 |
| Adversarial objects against lidar-based autonomous driving systems Y Cao, C Xiao, D Yang, J Fang, R Yang, M Liu, B Li arXiv preprint arXiv:1907.05418, 2019 | 159 | 2019 |
| Meshadv: Adversarial meshes for visual recognition C Xiao, D Yang, B Li, J Deng, M Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 114 | 2019 |
| Rel3d: A minimally contrastive benchmark for grounding spatial relations in 3d A Goyal, K Yang, D Yang, J Deng Advances in Neural Information Processing Systems 33, 10514-10525, 2020 | 39 | 2020 |
| Tryondiffusion: A tale of two unets L Zhu, D Yang, T Zhu, F Reda, W Chan, C Saharia, M Norouzi, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 31 | 2023 |
| Shape from shading through shape evolution D Yang, J Deng Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 29 | 2018 |
| Realistic adversarial examples in 3d meshes D Yang, C Xiao, B Li, J Deng, M Liu arXiv preprint arXiv:1810.05206 2, 2, 2018 | 18 | 2018 |
| Learning to generate 3d training data through hybrid gradient D Yang, J Deng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 10 | 2020 |
| Realistic Adversarial Examples in 3D Meshes C Xiao, D Yang, B Li, J Deng, M Liu | | 2018 |
| Learning to Generate 3D Training Data through Hybrid Gradient Supplementary Material D Yang, J Deng | | |
| MeshAdv: Adversarial Meshes for Visual Recognition Supplementary Material C Xiao, D Yang, J Deng, M Liu, B Li | | |
Jia DengPrinceton UniversityVerified email at cs.princeton.edu
