All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation WL Chang*, HP Wang*, WH Peng, WC Chiu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 282 | 2019 |
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training HP Wang, SU Stich, Y He, M Fritz International Conference on Machine Learning (ICML), 2022 | 33 | 2022 |
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs HP Wang, N Yu, M Fritz IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 28 | 2021 |
Infoscrub: Towards attribute privacy by targeted obfuscation HP Wang, T Orekondy, M Fritz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 21 | 2021 |
CosSGD: Communication-Efficient Federated Learning with a Simple Cosine-Based Quantization Y He, HP Wang, M Zenk, M Fritz 1st NeurIPS Workshop on New Frontiers in Federated Learning (NFFL 2021), 2021 | 13* | 2021 |
Learning priors for adversarial autoencoders HP Wang, WJ Ko, WH Peng Asia-Pacific Signal and Information Processing Association Annual Summit and …, 2018 | 13 | 2018 |
Video Rescaling Networks with Joint Optimization Strategies for Downscaling and Upscaling Y Huang, YH Chen, CY Lu, HP Wang, WH Peng, CC Huang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 12 | 2021 |
Fed-GLOSS-DP: Federated, global learning using synthetic sets with record level differential privacy HP Wang, D Chen, R Kerkouche, M Fritz arXiv preprint arXiv:2302.01068, 2023 | 3 | 2023 |
FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations HP Wang, D Chen, R Kerkouche, M Fritz arXiv preprint arXiv:2302.01068, 2023 | | 2023 |