Infinite-Resolution Integral Noise Warping for Diffusion Models
Yitong Deng, Winnie Lin, Lingxiao Li, Dmitriy Smirnov, Ryan Burgert, Ning Yu, Vincent Dedun, Mohammad H. Taghavi arXiv 2024 |
Membership Inference Attack Against Masked Image Modeling
Zheng Li, Xinlei He, Ning Yu, Yang Zhang arXiv 2024 |
Jailbreaking Text-to-Image Models with LLM-Based Agents
Yingkai Dong, Zheng Li, Xiangtao Meng, Ning Yu, Shanqing Guo arXiv 2024 |
JigMark: A Black-Box Approach for Enhancing Image Watermarks against Diffusion Model Edits
Minzhou Pan*, Yi Zeng*, Ning Yu, Cho-Jui Hsieh, Peter Henderson, Ruoxi Jia, Xue Lin arXiv 2024 pdf code |
Detecting Adversarial Data via Perturbation Forgery
Qian Wang, Chen Li, Yuchen Luo, Hefei Ling, Ping Li, Jiazhong Chen, Shijuan Huang, Ning Yu arXiv 2024 |
Reference-Based 3D-Aware Image Editing with Triplane
Bahri Batuhan Bilecen, Yigit Yalin, Ning Yu, Aysegul Dundar arXiv 2024 pdf project code |
HaVTR: Improving Video-Text Retrieval Through Augmentation Using Large Foundation Models
Yimu Wang, Shuai Yuan, Xiangru Jian, Wei Pang, Mushi Wang, Ning Yu arXiv 2024 |
T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition
Chen Yeh*, You-Ming Chang*, Wei-Chen Chiu, Ning Yu NeurIPS 2024 pdf project code data card poster |
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 pdf project code |
DifFRelight: Diffusion-Based Facial Performance Relighting
Mingming He*, Pascal Clausen*, Ahmet Levent Tacsel*, Li Ma*, Oliver Pilarski*, Wenqi Xian, Laszlo Rikker, Xueming Yu, Ryan Burgert, Ning Yu, Paul Debevec SIGGRAPH Asia 2024 pdf project |
FastTrack: Fast and Accurate Fact Tracing for LLMs
Si Chen, Feiyang Kang, Ning Yu, Ruoxi Jia EMNLP 2024 pdf poster |
Inside the Black Box: Detecting Data Leakage in Pre-trained Language Encoders
Yuan Xin, Zheng Li, Ning Yu, Dingfan Chen, Mario Fritz, Michael Backes, Yang Zhang ECAI 2024 |
Integrating Vision-Language Models for Accelerated High-Throughput Nutrition Screening
Peihua Ma*, Yixin Wu*, Ning Yu, Xiaoxue Jia, Yiyang He, Yang Zhang, Michael Backes, Qin Wang, Cheng-I Wei Advanced Science 2024 |
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer
Ning Yu, Chia-Chih Chen, Zeyuan Chen, Rui Meng, Gang Wu, Paul Josel, Juan Carlos Niebles, Caiming Xiong, Ran Xu ECCV 2024 pdf project code BannerGen lib poster video blog |
X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning
Artemis Panagopoulou, Le Xue*, Ning Yu*, Junnan Li, Dongxu Li, Shafiq Joty, Ran Xu, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles ECCV 2024 pdf project code poster press |
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models
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 ECCV Workshop on EVAL-FoMo 2024 pdf project code model cards data cards |
RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content
Zhuowen Yuan, Zidi Xiong, Yi Zeng, Ning Yu, Ruoxi Jia, Dawn Song, Bo Li ICML 2024 |
C-RAG: Certified Conformal Risks for Retrieval-Augmented Language Models
Mintong Kang, Nezihe Merve Gürel, Ning Yu, Dawn Song, Bo Li ICML 2024 pdf code |
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 CVPR 2024 pdf project code poster |
ULIP-2: Towards Scalable Multimodal Pre-training For 3D Understanding
Le Xue, Ning Yu, Shu Zhang, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese CVPR 2024 pdf code poster blog press |
SimSCOOD: Systematic Analysis of Out-of-Distribution Behavior of Source Code Models
Hossein Hajipour, Ning Yu, Cristian-Alexandru Staicu, Mario Fritz NAACL 2024 pdf code poster slides |
Model-Agnostic Hierarchical Attention for 3D Object Detection
Manli Shu, Le Xue, Ning Yu, Roberto Martín-Martín, Juan Carlos Niebles, Caiming Xiong, Ran Xu ICRA 2024 pdf slides |
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 ICLR Workshop on PML4LRS 2024 pdf code |
Large Language Models in Food Science: Innovations, Applications, and Future
Peihua Ma, Shawn Tsai, Yiyang He, Xiaoxue Jia, Dongyang Zhen, Ning Yu, Qin Wang, Jaspreet Ahuja, Cheng-I Wei Trends in Food Science & Technology 2024 |
Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models
Minxing Zhang, Ning Yu, Rui Wen, Michael Backes, Yang Zhang WACV 2024 pdf code |
Continual Adversarial Defense
Qian Wang, Yaoyao Liu, Hefei Ling, Yingwei Li, Qihao Liu, Ping Li, Jiazhong Chen, Alan Yuille, Ning Yu arXiv 2023 pdf code |
AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors
You-Ming Chang*, Chen Yeh*, Wei-Chen Chiu, Ning Yu arXiv 2023 pdf code |
On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts
Yixin Wu, Ning Yu, Michael Backes, Yun Shen, Yang Zhang arXiv 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 NeurIPS 2023 pdf project code Huggingface space poster blog press |
AnchMark: Anchor-contrastive Watermarking against Generative Image Modifications
Minzhou Pan*, Yi Zeng*, Xue Lin, Ning Yu, Cho-Jui Hsieh, Ruoxi Jia NeurIPS Workshop on Regulatable ML 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 ICCV 2023 pdf project code poster blog |
DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Diffusion Models
Zeyang Sha, Zheng Li, Ning Yu, Yang Zhang CCS 2023 CSAW Europe best paper finalist pdf code |
Generated Graph Detection
Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang ICML 2023 pdf code |
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 IJCAI 2023 pdf code slides video |
Learning Prototype Classifiers for Long-Tailed Recognition
Saurabh Sharma, Yongqin Xian, Ning Yu, Ambuj Singh IJCAI 2023 pdf code slides video |
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 Patel, Ran Xu CVPR 2023 pdf project code poster blog |
Can’t Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders
Zeyang Sha, Xinlei He, Ning Yu, Michael Backes, Yang Zhang CVPR 2023 pdf code poster video slides |
RoSteALS: Robust Steganography using Autoencoder Latent Space
Tu Bui, Shruti Agarwal, Ning Yu, John Collomosse CVPR Workshop on Media Forensics 2023 pdf code Huggingface space poster |
UnGANable: Defending Against GAN-based Face Manipulation
Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang USENIX 2023 pdf code poster press |
Keys to Better Image Inpainting: Structure and Texture Go Hand in Hand
Jitesh Jain*, Yuqian Zhou*, Ning Yu, Humphrey Shi WACV 2023 pdf project code demo Huggingface space poster slides tech transfer: Photoshop 24.5 Remove Tool |
Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation
Rui Meng, Ye Liu, Semih Yavuz, Divyansh Agarwal, Lifu Tu, Ning Yu, Jianguo Zhang, Meghana Bhat, Yingbo Zhou arXiv 2022 |
Membership Inference Attacks Against Text-to-image Generation Models
Yixin Wu, Ning Yu, Zheng Li, Michael Backes, Yang Zhang arXiv 2022 |
Auditing Membership Leakages of Multi-Exit Networks
Zheng Li, Yiyong Liu, Xinlei He, Ning Yu, Michael Backes, Yang Zhang CCS 2022 pdf code slides |
RepMix: Representation Mixing for Robust Attribution of Synthesized Images
Tu Bui, Ning Yu, John Collomosse ECCV 2022 pdf code poster video |
Deep Learning Accurately Predicts Food Categories and Nutrients Based on Ingredient Statements
Peihua Ma, Zhikun Zhang, Ying Li, Ning Yu, Jiping Sheng, Hande Küçük McGinty, Qin Wang, Jaspreet Ahuja Food Chemistry 2022 |
Responsible Disclosure of Generative Models Using Scalable Fingerprinting
Ning Yu*, Vladislav Skripniuk*, Dingfan Chen, Larry Davis, Mario Fritz ICLR 2022 Spotlight pdf project code poster video press |
RelaxLoss: Defending Membership Inference Attacks without Losing Utility
Dingfan Chen, Ning Yu, Mario Fritz ICLR 2022 Spotlight pdf code poster video press |
Human-Centric Deep Generative Models: The Blessing and The Curse
Ning Yu Ph.D. Dissertation 2021, University of Maryland and Max Planck Institute for Informatics |
Deep Video Inpainting Detection
Peng Zhou, Ning Yu, Zuxuan Wu, Larry Davis, Abhinav Shrivastava, Ser-Nam Lim BMVC 2021 pdf code video |
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
Ning Yu*, Vladislav Skripniuk*, Sahar Abdelnabi, Mario Fritz ICCV 2021 Oral pdf project code poster video press |
Dual Contrastive Loss and Attention for GANs
Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz ICCV 2021 pdf project code poster video press |
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
Yang He, Ning Yu, Margret Keuper, Mario Fritz IJCAI 2021 pdf project code video press |
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs
Hui-Po Wang, Ning Yu, Mario Fritz CVPR 2021 pdf project code poster video press |
Application of Deep Learning for Image-based Chinese Market Food Nutrients Estimation
Peihua Ma, Chun Pong Lau, Ning Yu, An Li, Jiping Sheng Food Chemistry 2021 |
Image-based Nutrient Estimation for Chinese Dishes Using Deep Learning
Peihua Ma, Chun Pong Lau, Ning Yu, An Li, Ping Liu, Qin Wang, Jiping Sheng Food Research International 2021 pdf press |
Application of Machine Learning for Predicting Label Nutrients Using USDA Global Branded Food Products Database (BFPD)
Peihua Ma, An Li, Ning Yu, Ying Li, Rahul Bahadur, Qin Wang, Jaspreet Ahuja Journal of Food Composition and Analysis 2021 pdf press |
Long-Tailed Recognition Using Class-Balanced Experts
Saurabh Sharma, Ning Yu, Mario Fritz, Bernt Schiele GCPR 2020 pdf code video |
GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs
Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz CCS 2020 pdf code poster video (short) video (full) |
Inclusive GAN: Improving Data and Minority Coverage in Generative Models
Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz ECCV 2020 pdf project code video (short) video (full) press |
Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints
Ning Yu, Larry Davis, Mario Fritz ICCV 2019 pdf project code poster press |
Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture
Ning Yu, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi, Michal Lukáč CVPR 2019 pdf project code poster press |
Learning to Detect Multiple Photographic Defects
Ning Yu, Xiaohui Shen, Zhe Lin, Radomír Měch, Connelly Barnes WACV 2018 pdf supp project code poster slides |
Supervoxel-Based Hierarchical Markov Random Field Framework for Multi-Atlas Segmentation
Ning Yu, Hongzhi Wang, Paul Yushkevich MICCAI Workshop on Patch MI 2016 pdf project slides |
A Superpixel-Based Framework for Automatic Tumor Segmentation on Breast DCE-MRI
Ning Yu, Jia Wu, Susan Weinstein, Bilwaj Gaonkar, Brad Keller, Ahmed Ashraf, YunQing Jiang, Christos Davatzikos, Emily Conant, Despina Kontos SPIE Medical Imaging 2015 Oral, best student paper finalist pdf project slides press |
Quantification of Tumor Changes during Neoadjuvant Chemotherapy with Longitudinal Breast DCE-MRI Registration
Jia Wu, Yangming Ou, Susan Weinstein, Emily Conant, Ning Yu, Vahid Hoshmand, Brad Keller, Ahmed Ashraf, Mark Rosen, Angela DeMichele, Christos Davatzikos, Despina Kontos SPIE Medical Imaging 2015 pdf 、 |
Tumor Heterogeneity Patterns of DCE-MRI Parametric Response Maps May Augment Early Assessment of Neoadjuvant Chemotherapy: A Pilot Study of ACRIN 6657/I-SPY 1
Jia Wu, Susan Weinstein, Andrew Oustimov, Lauren Pantalone, Ning Yu, Yangming Ou, Mark Rosen, Angela DeMichele, Christos Davatzikos, Despina Kontos RSNA 2015 |
A Feasibility Study Investigating the Use of Quantitative Measures of Spatio-Temporal Tumor Heterogeneity Derived from 4D Breast DCE-MRI Registration as a Biomarker of Response to Neoadjuvant Chemotherapy
Jia Wu, Yangming Ou, Susan Weinstein, Emily Conant, Ning Yu, Vahid Hoshmand, Brad Keller, Ahmed Ashraf, Mark Rosen, Angela DeMichele, Christos Davatzikos, Despina Kontos ISMRM 2014 |
Robust Feature Points Correspondences for Visual Object Tracking
Ning Yu Undergraduate Thesis 2013, Huazhong University of Science and Technology pdf project slides |
CVPR Lead Area Chair | since 2025 |
CVPR Area Chair | since 2023 |
ICCV Area Chair | since 2023 |
ECCV Area Chair | since 2024 |
NeurIPS Area Chair | since 2023 |
ICLR Area Chair | since 2024 |
ICML Session Chair | 2022 |
AAAI Senior Program Committee | since 2023 |
AISTATS Area Chair | since 2023 |
BMVC Area Chair | since 2022 |
WACV Area Chair | since 2023 |
CVPR | since 2020 |
ICCV | since 2019 |
ECCV | since 2020 |
NeurIPS | since 2021 |
ICML | since 2021 |
ICLR | since 2022 |
AAAI | since 2020 |
IJCAI | since 2020 |
SIGGRAPH | since 2021 |
Eurographics | since 2020 |
ICRA | since 2020 |
TPAMI | since 2019 |
IJCV | since 2021 |
TOG | since 2020 |
PR Letters | since 2020 |
Neurocomputing | since 2019 |
TVCJ | since 2018 |