| Neurallift-360: Lifting an in-the-wild 2d photo to a 3d object with 360deg views D Xu, Y Jiang, P Wang, Z Fan, Y Wang, Z Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 124 | 2023 |
| Point cloud domain adaptation via masked local 3d structure prediction H Liang, H Fan, Z Fan, Y Wang, T Chen, Y Cheng, Z Wang European Conference on Computer Vision, 156-172, 2022 | 36 | 2022 |
| Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors Y Wang, A Maesumi, M Zhu, T Chen, Z Wang, C Bajaj arXiv preprint arXiv:2104.11101, 2021 | 10 | 2021 |
| Can we solve 3D vision tasks starting from a 2D vision transformer? Y Wang, Z Fan, T Chen, H Fan, Z Wang arXiv preprint arXiv:2209.07026, 2022 | 8 | 2022 |
| Can 3d adversarial logos cloak humans? Y Wang, J Zhou, T Chen, S Liu, S Chang, C Bajaj, Z Wang arXiv preprint arXiv:2006.14655, 2020 | 4 | 2020 |
| SketchyCoreSVD: SketchySVD from random subsampling of the data matrix Y Wang, T Wang, C Bajaj 2019 IEEE International Conference on Big Data (Big Data), 26-35, 2019 | 4 | 2019 |
| Reinforcement Learning of Self Enhancing Camera Image and Signal Processing Y Wang, Y Yang, C Bajaj arXiv e-prints, arXiv: 2111.07499, 2021 | 1* | 2021 |
| Deep Contrastive Patch-Based Subspace Learning for Camera Image Signal Processing Y Yang, Y Wang, C Bajaj 2023 IEEE World Conference on Applied Intelligence and Computing (AIC), 653-661, 2023 | | 2023 |
| A Particle-based Sparse Gaussian Process Optimizer Y Wang, O Bharat, C Bajaj, Vaidya arXiv preprint arXiv:2211.14517, 2022 | | 2022 |
Chandrajit BajajComputational Applied Mathematics Chair, Professor of Computer Science,Bestätigte E-Mail-Adresse bei cs.utexas.edu