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Partha Ghosh
Partha Ghosh
Ph.D. Student, Doctoral Fellow at the IMPRS-IS
Verified email at tue.mpg.de - Homepage
Title
Cited by
Cited by
Year
From Variational to Deterministic Autoencoders
P Ghosh, MSM Sajjadi, A Vergari, M Black, B Schölkopf
International Conference on Learning Representations, 2020
2992020
Learning human motion models for long-term predictions
P Ghosh, J Song, E Aksan, O Hilliges
2017 International Conference on 3D Vision (3DV), 458-466, 2017
2622017
Populating 3D scenes by learning human-scene interaction
M Hassan, P Ghosh, J Tesch, D Tzionas, MJ Black
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1092021
Resisting adversarial attacks using gaussian mixture variational autoencoders
P Ghosh, A Losalka, MJ Black
Proceedings of the AAAI conference on artificial intelligence 33 (01), 541-548, 2019
812019
Gif: Generative interpretable faces
P Ghosh, PS Gupta, R Uziel, A Ranjan, MJ Black, T Bolkart
2020 International Conference on 3D Vision (3DV), 868-878, 2020
612020
InvGAN: Invertible GANs
P Ghosh, D Zietlow, MJ Black, LS Davis, X Hu
Pattern Recognition: 44th DAGM German Conference, DAGM GCPR 2022, Konstanz …, 2022
8*2022
A novel technique for interdependent trim code optimization
P Bongale, V Sundaresan, P Ghosh, R Parekhji
2016 IEEE 34th VLSI Test Symposium (VTS), 1-6, 2016
52016
Systems and methods for optimal trim calibrations in integrated circuits
P Bongale, P Ghosh, RA Parekhji
US Patent 10,606,723, 2020
22020
SCULPT: Shape-conditioned unpaired learning of pose-dependent clothed and textured human meshes
S Sanyal, P Ghosh, J Yang, MJ Black, J Thies, T Bolkart
arXiv preprint arXiv:2308.10638, 2023
12023
RAVEN: Rethinking Adversarial Video Generation with Efficient Tri-plane Networks
P Ghosh, S Sanyal, C Schmid, B Schölkopf
arXiv preprint arXiv:2401.06035, 2024
2024
Adversarial Likelihood Estimation With One-Way Flows
O Ben-Dov, PS Gupta, V Abrevaya, MJ Black, P Ghosh
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
2024
Reining in the Deep Generative Models
P Ghosh
Universität Tübingen, 2023
2023
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