Yu, Ning

39 publications

ICLRW 2025 AntifakePrompt: Prompt-Tuned Vision-Language Models Are Fake Image Detectors You-Ming Chang, Chen Yeh, Wei-Chen Chiu, Ning Yu

CVPR 2025 Detecting Adversarial Data Using Perturbation Forgery Qian Wang, Chen Li, Yuchen Luo, Hefei Ling, Shijuan Huang, Ruoxi Jia, Ning Yu

ICCV 2025 FlashDepth: Real-Time Streaming Video Depth Estimation at 2k Resolution Gene Chou, Wenqi Xian, Guandao Yang, Mohamed Abdelfattah, Bharath Hariharan, Noah Snavely, Ning Yu, Paul Debevec

CVPR 2025 Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise Ryan Burgert, Yuancheng Xu, Wenqi Xian, Oliver Pilarski, Pascal Clausen, Mingming He, Li Ma, Yitong Deng, Lingxiao Li, Mohsen Mousavi, Michael Ryoo, Paul Debevec, Ning Yu

ICLR 2025 Infinite-Resolution Integral Noise Warping for Diffusion Models Yitong Deng, Winnie Lin, Lingxiao Li, Dmitriy Smirnov, Ryan D Burgert, Ning Yu, Vincent Dedun, Mohammad H. Taghavi

CVPR 2025 Lux Post Facto: Learning Portrait Performance Relighting with Conditional Video Diffusion and a Hybrid Dataset Yiqun Mei, Mingming He, Li Ma, Julien Philip, Wenqi Xian, David M George, Xueming Yu, Gabriel Dedic, Ahmet Levent Taşel, Ning Yu, Vishal M. Patel, Paul Debevec

CVPR 2025 Reference-Based 3D-Aware Image Editing with Triplanes Bahri Batuhan Bilecen, Yigit Yalin, Ning Yu, Aysegul Dundar

TMLR 2025 Survey of Video Diffusion Models: Foundations, Implementations, and Applications Yimu Wang, Xuye Liu, Wei Pang, Li Ma, Shuai Yuan, Paul Debevec, Ning Yu

AAAI 2025 Text2Data: Low-Resource Data Generation with Textual Control Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese

ICML 2024 C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models Mintong Kang, Nezihe Merve Gürel, Ning Yu, Dawn Song, Bo Li

WACV 2024 Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models Minxing Zhang, Ning Yu, Rui Wen, Michael Backes, Yang Zhang

CVPR 2024 HIVE: Harnessing Human Feedback for Instructional Visual Editing 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

ECCV 2024 LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer Ning Yu, Chia-chih Chen, Zeyuan Chen, Rui Meng, Gang Wu, Paul W Josel, Juan Carlos Niebles, Caiming Xiong, Ran Xu

ICML 2024 RigorLLM: Resilient Guardrails for Large Language Models Against Undesired Content Zhuowen Yuan, Zidi Xiong, Yi Zeng, Ning Yu, Ruoxi Jia, Dawn Song, Bo Li

NeurIPS 2024 Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models Yuancheng Xu, Jiarui Yao, Manli Shu, Yanchao Sun, Zichu Wu, Ning Yu, Tom Goldstein, Furong Huang

ICLRW 2024 Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models Yuancheng Xu, Jiarui Yao, Manli Shu, Yanchao Sun, Zichu Wu, Ning Yu, Tom Goldstein, Furong Huang

NeurIPS 2024 T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition Chen Yeh, You-Ming Chang, Wei-Chen Chiu, Ning Yu

ICLRW 2024 Text2Data: Low-Resource Data Generation with Textual Control Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese

CVPR 2024 ULIP-2: Towards Scalable Multimodal Pre-Training for 3D Understanding Le Xue, Ning Yu, Shu Zhang, Artemis Panagopoulou, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese

ECCV 2024 X-InstructBLIP: A Framework for Aligning Image, 3D, Audio, Video to LLMs and Its Emergent Cross-Modal Reasoning Artemis Panagopoulou, Le Xue, Ning Yu, Li Junnan, Dongxu Li, Shafiq Joty, Ran Xu, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles

NeurIPSW 2023 AnchMark: Anchor-Contrastive Watermarking vs GenAI-Based Image Modifications Minzhou Pan, Yi Zeng, Xue Lin, Ning Yu, Cho-Jui Hsieh, Ruoxi Jia

CVPR 2023 Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders Zeyang Sha, Xinlei He, Ning Yu, Michael Backes, Yang Zhang

IJCAI 2023 Detecting Adversarial Faces Using Only Real Face Self-Perturbations Qian Wang, Yongqin Xian, Hefei Ling, Jinyuan Zhang, Xiaorui Lin, Ping Li, Jiazhong Chen, Ning Yu

ICML 2023 Generated Graph Detection Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang

ICCV 2023 GlueGen: Plug and Play Multi-Modal Encoders for X-to-Image Generation Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu

WACV 2023 Keys to Better Image Inpainting: Structure and Texture Go Hand in Hand Jitesh Jain, Yuqian Zhou, Ning Yu, Humphrey Shi

IJCAI 2023 Learning Prototype Classifiers for Long-Tailed Recognition Saurabh Sharma, Yongqin Xian, Ning Yu, Ambuj K. Singh

CVPR 2023 Mask-Free OVIS: Open-Vocabulary Instance Segmentation Without Manual Mask Annotations Vibashan Vs, Ning Yu, Chen Xing, Can Qin, Mingfei Gao, Juan Carlos Niebles, Vishal M. Patel, Ran Xu

CVPRW 2023 RoSteALS: Robust Steganography Using Autoencoder Latent Space Tu Bui, Shruti Agarwal, Ning Yu, John P. Collomosse

NeurIPS 2023 UniControl: A Unified Diffusion Model for Controllable Visual Generation in the Wild 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

ICLR 2022 RelaxLoss: Defending Membership Inference Attacks Without Losing Utility Dingfan Chen, Ning Yu, Mario Fritz

ECCV 2022 RepMix: Representation Mixing for Robust Attribution of Synthesized Images Tu Bui, Ning Yu, John Collomosse

ICLR 2022 Responsible Disclosure of Generative Models Using Scalable Fingerprinting Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry S. Davis, Mario Fritz

ICCV 2021 Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data Ning Yu, Vladislav Skripniuk, Sahar Abdelnabi, Mario Fritz

IJCAI 2021 Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis Yang He, Ning Yu, Margret Keuper, Mario Fritz

ICCV 2021 Dual Contrastive Loss and Attention for GANs Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry S. Davis, Mario Fritz

CVPR 2021 Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs Hui-Po Wang, Ning Yu, Mario Fritz

ECCV 2020 Inclusive GAN: Improving Data and Minority Coverage in Generative Models Ning Yu, Ke Li, Peng Zhou Jitendra Malik, Larry Davis, Mario Fritz

WACV 2018 Learning to Detect Multiple Photographic Defects Ning Yu, Xiaohui Shen, Zhe Lin, Radomír Mech, Connelly Barnes