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Ning Yu 0006
Person information
- affiliation: Netflix Eyeline Studios
Other persons with the same name
- Ning Yu — disambiguation page
- Ning Yu 0001 — University of Central Florida, School of Electrical Engineering and Computer Science, Orlando, FL, USA (and 2 more)
- Ning Yu 0002
— Beijing University of Aeronautics and Astronautics (Beihang University), China (and 1 more)
- Ning Yu 0003 — Ludwig Maximilian University of Munich, Germany
- Ning Yu 0004
- Ning Yu 0005 — Indiana University, School of Library and Information Science, Bloomington, USA
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2020 – today
- 2024
- [c31]Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu:
HIVE: Harnessing Human Feedback for Instructional Visual Editing. CVPR 2024: 9026-9036 - [c30]Le Xue, Ning Yu, Shu Zhang, Artemis Panagopoulou, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese:
ULIP-2: Towards Scalable Multimodal Pre-Training for 3D Understanding. CVPR 2024: 27081-27091 - [c29]Yuan Xin, Zheng Li, Ning Yu, Dingfan Chen, Mario Fritz, Michael Backes, Yang Zhang:
Inside the Black Box: Detecting Data Leakage in Pre-Trained Language Encoders. ECAI 2024: 3947-3955 - [c28]Ning Yu, Chia-Chih Chen, Zeyuan Chen, Rui Meng, Gang Wu, Paul Josel, Juan Carlos Niebles, Caiming Xiong, Ran Xu:
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer. ECCV (20) 2024: 169-187 - [c27]Artemis Panagopoulou, Le Xue, Ning Yu, Junnan Li, Dongxu Li, Shafiq Joty, Ran Xu, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles:
X-InstructBLIP: A Framework for Aligning Image, 3D, Audio, Video to LLMs and its Emergent Cross-Modal Reasoning. ECCV (45) 2024: 177-197 - [c26]Manli Shu, Le Xue, Ning Yu, Roberto Martín-Martín, Caiming Xiong, Tom Goldstein, Juan Carlos Niebles, Ran Xu:
Hierarchical Point Attention for Indoor 3D Object Detection. ICRA 2024: 4245-4251 - [c25]Hossein Hajipour, Ning Yu, Cristian-Alexandru Staicu, Mario Fritz:
SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models. NAACL-HLT (Findings) 2024: 1400-1416 - [c24]Minxing Zhang, Ning Yu, Rui Wen, Michael Backes, Yang Zhang
Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models. WACV 2024: 4827-4837 - [i40]Yuancheng Xu, Jiarui Yao, Manli Shu, Yanchao Sun, Zichu Wu, Ning Yu, Tom Goldstein, Furong Huang:
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models. CoRR abs/2402.06659 (2024) - [i39]Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese:
Text2Data: Low-Resource Data Generation with Textual Control. CoRR abs/2402.10941 (2024) - [i38]Bahri Batuhan Bilecen, Yigit Yalin, Ning Yu, Aysegul Dundar:
Reference-Based 3D-Aware Image Editing with Triplane. CoRR abs/2404.03632 (2024) - [i37]Yingkai Dong, Zheng Li, Xiangtao Meng, Ning Yu, Shanqing Guo:
Jailbreaking Text-to-Image Models with LLM-Based Agents. CoRR abs/2408.00523 (2024) - [i36]Zheng Li, Xinlei He, Ning Yu, Yang Zhang
Membership Inference Attack Against Masked Image Modeling. CoRR abs/2408.06825 (2024) - [i35]Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu:
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. CoRR abs/2408.08872 (2024) - [i34]Yuan Xin, Zheng Li, Ning Yu, Dingfan Chen, Mario Fritz, Michael Backes, Yang Zhang:
Inside the Black Box: Detecting Data Leakage in Pre-trained Language Encoders. CoRR abs/2408.11046 (2024) - 2023
- [c23]Zeyang Sha
DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models. CCS 2023: 3418-3432 - [c22]Tu Bui, Shruti Agarwal, Ning Yu, John P. Collomosse:
RoSteALS: Robust Steganography using Autoencoder Latent Space. CVPR Workshops 2023: 933-942 - [c21]Zeyang Sha, Xinlei He, Ning Yu, Michael Backes, Yang Zhang
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders. CVPR 2023: 16373-16383 - [c20]Vibashan VS, Ning Yu, Chen Xing, Can Qin, Mingfei Gao, Juan Carlos Niebles, Vishal M. Patel, Ran Xu:
Mask-Free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations. CVPR 2023: 23539-23549 - [c19]Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu:
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation. ICCV 2023: 23028-23039 - [c18]Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang:
Generated Graph Detection. ICML 2023: 23412-23428 - [c17]Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu:
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. NeurIPS 2023 - [c16]Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang:
UnGANable: Defending Against GAN-based Face Manipulation. USENIX Security Symposium 2023: 7213-7230 - [i33]Manli Shu, Le Xue, Ning Yu, Roberto Martín-Martín, Juan Carlos Niebles, Caiming Xiong, Ran Xu:
Model-Agnostic Hierarchical Attention for 3D Object Detection. CoRR abs/2301.02650 (2023) - [i32]Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu:
HIVE: Harnessing Human Feedback for Instructional Visual Editing. CoRR abs/2303.09618 (2023) - [i31]Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu:
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation. CoRR abs/2303.10056 (2023) - [i30]Vibashan VS, Ning Yu, Chen Xing, Can Qin, Mingfei Gao, Juan Carlos Niebles, Vishal M. Patel, Ran Xu:
Mask-free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations. CoRR abs/2303.16891 (2023) - [i29]Tu Bui, Shruti Agarwal, Ning Yu, John P. Collomosse:
RoSteALS: Robust Steganography using Autoencoder Latent Space. CoRR abs/2304.03400 (2023) - [i28]Le Xue, Ning Yu, Shu Zhang, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese:
ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding. CoRR abs/2305.08275 (2023) - [i27]Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu:
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. CoRR abs/2305.11147 (2023) - [i26]Peihua Ma
Vision-language models boost food composition compilation. CoRR abs/2306.01747 (2023) - [i25]Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang:
Generated Graph Detection. CoRR abs/2306.07758 (2023) - [i24]Yixin Wu, Ning Yu, Michael Backes, Yun Shen, Yang Zhang
On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts. CoRR abs/2310.16613 (2023) - [i23]Minxing Zhang, Ning Yu, Rui Wen, Michael Backes, Yang Zhang
Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models. CoRR abs/2310.19410 (2023) - [i22]Artemis Panagopoulou, Le Xue, Ning Yu, Junnan Li, Dongxu Li, Shafiq Joty, Ran Xu, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles:
X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning. CoRR abs/2311.18799 (2023) - 2022
- [c15]Zheng Li, Yiyong Liu, Xinlei He, Ning Yu, Michael Backes, Yang Zhang
Auditing Membership Leakages of Multi-Exit Networks. CCS 2022: 1917-1931 - [c14]Tu Bui
RepMix: Representation Mixing for Robust Attribution of Synthesized Images. ECCV (14) 2022: 146-163 - [c13]Dingfan Chen, Ning Yu, Mario Fritz:
RelaxLoss: Defending Membership Inference Attacks without Losing Utility. ICLR 2022 - [c12]Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry S. Davis, Mario Fritz:
Responsible Disclosure of Generative Models Using Scalable Fingerprinting. ICLR 2022 - [i21]Zeyang Sha, Xinlei He, Ning Yu, Michael Backes, Yang Zhang:
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders. CoRR abs/2201.07513 (2022) - [i20]Tu Bui, Ning Yu, John P. Collomosse:
RepMix: Representation Mixing for Robust Attribution of Synthesized Images. CoRR abs/2207.02063 (2022) - [i19]Dingfan Chen, Ning Yu, Mario Fritz:
RelaxLoss: Defending Membership Inference Attacks without Losing Utility. CoRR abs/2207.05801 (2022) - [i18]Zheng Li, Yiyong Liu, Xinlei He, Ning Yu, Michael Backes, Yang Zhang
Auditing Membership Leakages of Multi-Exit Networks. CoRR abs/2208.11180 (2022) - [i17]Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang
UnGANable: Defending Against GAN-based Face Manipulation. CoRR abs/2210.00957 (2022) - [i16]Yixin Wu
Membership Inference Attacks Against Text-to-image Generation Models. CoRR abs/2210.00968 (2022) - [i15]Hossein Hajipour, Ning Yu, Cristian-Alexandru Staicu, Mario Fritz:
SimSCOOD: Systematic Analysis of Out-of-Distribution Behavior of Source Code Models. CoRR abs/2210.04802 (2022) - [i14]Zeyang Sha, Zheng Li, Ning Yu, Yang Zhang
DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Diffusion Models. CoRR abs/2210.06998 (2022) - [i13]Ning Yu, Chia-Chih Chen, Zeyuan Chen, Rui Meng, Gang Wu, Paul Josel, Juan Carlos Niebles, Caiming Xiong, Ran Xu:
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer. CoRR abs/2212.09877 (2022) - 2021
- [c11]Peng Zhou, Ning Yu, Zuxuan Wu, Larry Davis, Abhinav Shrivastava, Ser-Nam Lim:
Deep Video Inpainting Detection. BMVC 2021: 35 - [c10]Hui-Po Wang, Ning Yu, Mario Fritz:
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs. CVPR 2021: 7872-7881 - [c9]Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz:
Dual Contrastive Loss and Attention for GANs. ICCV 2021: 6711-6722 - [c8]Ning Yu, Vladislav Skripniuk, Sahar Abdelnabi, Mario Fritz:
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data. ICCV 2021: 14428-14437 - [c7]Yang He, Ning Yu, Margret Keuper, Mario Fritz:
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis. IJCAI 2021: 2534-2541 - [i12]Peng Zhou, Ning Yu, Zuxuan Wu, Larry S. Davis, Abhinav Shrivastava, Ser-Nam Lim:
Deep Video Inpainting Detection. CoRR abs/2101.11080 (2021) - [i11]Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz:
Dual Contrastive Loss and Attention for GANs. CoRR abs/2103.16748 (2021) - [i10]Yang He, Ning Yu, Margret Keuper, Mario Fritz:
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis. CoRR abs/2105.14376 (2021) - 2020
- [c6]Dingfan Chen, Ning Yu, Yang Zhang
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models. CCS 2020: 343-362 - [c5]Saurabh Sharma, Ning Yu, Mario Fritz, Bernt Schiele:
Long-Tailed Recognition Using Class-Balanced Experts. GCPR 2020: 86-100 - [c4]Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz:
Inclusive GAN: Improving Data and Minority Coverage in Generative Models. ECCV (22) 2020: 377-393 - [i9]Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz:
Inclusive GAN: Improving Data and Minority Coverage in Generative Models. CoRR abs/2004.03355 (2020) - [i8]Saurabh Sharma, Ning Yu, Mario Fritz, Bernt Schiele:
Long-Tailed Recognition Using Class-Balanced Experts. CoRR abs/2004.03706 (2020) - [i7]Vladislav Skripniuk, Ning Yu, Sahar Abdelnabi, Mario Fritz:
Black-Box Watermarking for Generative Adversarial Networks. CoRR abs/2007.08457 (2020) - [i6]Hui-Po Wang, Ning Yu, Mario Fritz:
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs. CoRR abs/2011.14107 (2020) - [i5]Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry Davis, Mario Fritz:
Responsible Disclosure of Generative Models Using Scalable Fingerprinting. CoRR abs/2012.08726 (2020)
2010 – 2019
- 2019
- [c3]Ning Yu, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi, Michal Lukác
Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture. CVPR 2019: 12164-12173 - [c2]Ning Yu, Larry Davis, Mario Fritz:
Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints. ICCV 2019: 7555-7565 - [i4]Ning Yu, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi, Michal Lukác:
Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture. CoRR abs/1901.03447 (2019) - [i3]Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz:
GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs. CoRR abs/1909.03935 (2019) - 2018
- [c1]Ning Yu, Xiaohui Shen, Zhe L. Lin, Radomír Mech, Connelly Barnes:
Learning to Detect Multiple Photographic Defects. WACV 2018: 1387-1396 - [i2]Ning Yu, Larry Davis, Mario Fritz:
Attributing Fake Images to GANs: Analyzing Fingerprints in Generated Images. CoRR abs/1811.08180 (2018) - 2016
- [i1]Ning Yu, Xiaohui Shen, Zhe L. Lin, Radomír Mech, Connelly Barnes:
Automatic Image Defect Diagnosis. CoRR abs/1612.01635 (2016)
Coauthor Index
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last updated on 2024-12-26 01:53 CET by the dblp team
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