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Ning Yu
Ning Yu
Netflix Eyeline Studios
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Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints
N Yu, L Davis, M Fritz
IEEE International Conference on Computer Vision (ICCV), 2019
5652019
Gan-leaks: A taxonomy of membership inference attacks against generative models
D Chen, N Yu, Y Zhang, M Fritz
ACM SIGSAC Conference on Computer and Communications Security (CCS), 2020
4462020
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
N Yu, V Skripniuk, S Abdelnabi, M Fritz
IEEE International Conference on Computer Vision (ICCV), 2021
2412021
DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Diffusion Models
Z Sha, Z Li, N Yu, Y Zhang
ACM SIGSAC Conference on Computer and Communications Security (CCS), 2023
152*2023
Responsible disclosure of generative models using scalable fingerprinting
N Yu, V Skripniuk, D Chen, L Davis, M Fritz
International Conference on Learning Representations (ICLR), 2022
1022022
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
C Qin, S Zhang, N Yu, Y Feng, X Yang, Y Zhou, H Wang, JC Niebles, ...
Conference on Neural Information Processing Systems (NeurIPS), 2023
1012023
ULIP-2: Towards Scalable Multimodal Pre-training For 3D Understanding
L Xue, N Yu, S Zhang, J Li, R Martín-Martín, J Wu, C Xiong, R Xu, ...
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
992024
HIVE: Harnessing Human Feedback for Instructional Visual Editing
S Zhang, X Yang, Y Feng, C Qin, CC Chen, N Yu, Z Chen, H Wang, ...
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
932024
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
Y He, N Yu, M Keuper, M Fritz
International Joint Conference on Artificial Intelligence (IJCAI), 2021
722021
Dual contrastive loss and attention for gans
N Yu, G Liu, A Dundar, A Tao, B Catanzaro, L Davis, M Fritz
IEEE International Conference on Computer Vision (ICCV), 2021
702021
Inclusive GAN: Improving Data and Minority Coverage in Generative Models
N Yu, K Li, P Zhou, J Malik, L Davis, M Fritz
European Conference on Computer Vision (ECCV), 2020
692020
Membership inference attacks against text-to-image generation models
Y Wu, N Yu, Z Li, M Backes, Y Zhang
662022
Keys to Better Image Inpainting: Structure and Texture Go Hand in Hand
J Jain, Y Zhou, N Yu, H Shi
IEEE Winter Conference on Applications of Computer Vision (WACV), 2023
642023
RelaxLoss: Defending Membership Inference Attacks without Losing Utility
D Chen, N Yu, M Fritz
International Conference on Learning Representations (ICLR), 2022
522022
Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture
N Yu, C Barnes, E Shechtman, S Amirghodsi, M Lukac
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
522019
RoSteALS: Robust Steganography using Autoencoder Latent Space
T Bui, S Agarwal, N Yu, J Collomosse
CVPR Workshop on Media Forensics, 2023
482023
Application of deep learning for image-based Chinese market food nutrients estimation
P Ma, CP Lau, N Yu, A Li, J Sheng
Food Chemistry 373, 130994, 2022
462022
X-InstructBLIP: A Framework for Aligning Image, 3D, Audio, Video to LLMs and its Emergent Cross-Modal Reasoning
A Panagopoulou, L Xue, N Yu, J Li, D Li, S Joty, R Xu, S Savarese, ...
European Conference on Computer Vision (ECCV), 2024
43*2024
Image-based Nutrient Estimation for Chinese Dishes Using Deep Learning
P Ma, CP Lau, N Yu, A Li, P Liu, Q Wang, J Sheng
Food Research International, 2021
432021
xgen-mm (blip-3): A family of open large multimodal models
L Xue, M Shu, A Awadalla, J Wang, A Yan, S Purushwalkam, H Zhou, ...
arXiv preprint arXiv:2408.08872, 2024
402024
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Artikelen 1–20