Ning Yu

110 papers A* 34A 4Journal 61Unranked 10
YearRankTypeTitle / Venue / Authors
2026 — conf
MAViS: A Multi-Agent Framework for Long-Sequence Video Storytelling.
EACL (Volume 1: Long Papers)
Qian Wang, Ziqi Huang, Ruoxi Jia, Paul Debevec, Ning Yu
2026 J jnl
VidLeaks: Membership Inference Attacks Against Text-to-Video Models.
CoRR
Li Wang, Wenyu Chen, Ning Yu, Zheng Li, Shanqing Guo
2025 — conf
BLIP-3: A Family of Open Large Multimodal Models.
ICCVW
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, Shao-Yen Tseng, Gustavo A. Lujan-Moreno, Matthew L. Olson, Musashi Hinck, David Cobbley, Vasudev Lal, 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
2025 J jnl
CineScale: Free Lunch in High-Resolution Cinematic Visual Generation.
CoRR
Haonan Qiu, Ning Yu, Ziqi Huang, Paul Debevec, Ziwei Liu
2025 J jnl
Detail Enhanced Gaussian Splatting for Large-Scale Volumetric Capture.
CoRR
Julien Philip, Li Ma, Pascal Clausen, Wenqi Xian, Ahmet Levent Tasel, Mingming He, Xueming Yu, David M. George, Ning Yu, Oliver Pilarski, Paul E. Debevec
2025 J jnl
Detail Enhanced Gaussian Splatting for Large-Scale Volumetric Capture.
ACM Trans. Graph.
Julien Philip, Li Ma, Pascal Clausen, Wenqi Xian, Ahmet Levent Tasel, Mingming He, Xueming Yu, David M. George, Ning Yu, Oliver Pilarski, Paul E. Debevec
2025 A* conf
Detecting Adversarial Data Using Perturbation Forgery.
CVPR
Qian Wang, Chen Li, Yuchen Luo, Hefei Ling, Shijuan Huang, Ruoxi Jia, Ning Yu
2025 J jnl
FlashDepth: Real-time Streaming Video Depth Estimation at 2K Resolution.
CoRR
Gene Chou, Wenqi Xian, Guandao Yang, Mohamed Abdelfattah, Bharath Hariharan, Noah Snavely, Ning Yu, Paul E. Debevec
2025 A* conf
From Meme to Threat: On the Hateful Meme Understanding and Induced Hateful Content Generation in Open-Source Vision Language Models.
USENIX Security Symposium
Yihan Ma, Xinyue Shen, Yiting Qu, Ning Yu, Michael Backes, Savvas Zannettou, Yang Zhang
2025 A* conf
Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-to-Image Generation Models.
SP
Yingkai Dong, Xiangtao Meng, Ning Yu, Zheng Li, Shanqing Guo
2025 A* conf
Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise.
CVPR
Ryan D. Burgert, Yuancheng Xu, Wenqi Xian, Oliver Pilarski, Pascal Clausen, Mingming He, Li Ma, Yitong Deng, Lingxiao Li, Mohsen Mousavi, Michael S. Ryoo, Paul E. Debevec, Ning Yu
2025 J jnl
Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise.
CoRR
Ryan D. Burgert, Yuancheng Xu, Wenqi Xian, Oliver Pilarski, Pascal Clausen, Mingming He, Li Ma, Yitong Deng, Lingxiao Li, Mohsen Mousavi, Michael S. Ryoo, Paul E. Debevec, Ning Yu
2025 A* conf
Infinite-Resolution Integral Noise Warping for Diffusion Models.
ICLR
Yitong Deng, Winnie Lin, Lingxiao Li, Dmitriy Smirnov, Ryan D. Burgert, Ning Yu, Vincent Dedun, Mohammad H. Taghavi
2025 A* conf
Lux Post Facto: Learning Portrait Performance Relighting with Conditional Video Diffusion and a Hybrid Dataset.
CVPR
Yiqun Mei, Mingming He, Li Ma, Julien Philip, Wenqi Xian, David M. George, Xueming Yu, Gabriel Dedic, Ahmet Levent Tasel, Ning Yu, Vishal M. Patel, Paul E. Debevec
2025 J jnl
Lux Post Facto: Learning Portrait Performance Relighting with Conditional Video Diffusion and a Hybrid Dataset.
CoRR
Yiqun Mei, Mingming He, Li Ma, Julien Philip, Wenqi Xian, David M. George, Xueming Yu, Gabriel Dedic, Ahmet Levent Tasel, Ning Yu, Vishal M. Patel, Paul E. Debevec
2025 J jnl
MAViS: A Multi-Agent Framework for Long-Sequence Video Storytelling.
CoRR
Qian Wang, Ziqi Huang, Ruoxi Jia, Paul Debevec, Ning Yu
2025 A* conf
On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts.
USENIX Security Symposium
Yixin Wu, Ning Yu, Michael Backes, Yun Shen, Yang Zhang
2025 A* conf
Reference-Based 3D-Aware Image Editing with Triplanes.
CVPR
Bahri Batuhan Bilecen, Yigit Yalin, Ning Yu, Aysegul Dundar
2025 J jnl
Safe-Control: A Safety Patch for Mitigating Unsafe Content in Text-to-Image Generation Models.
CoRR
Xiangtao Meng, Yingkai Dong, Ning Yu, Li Wang, Zheng Li, Shanqing Guo
2025 J jnl
Survey of Video Diffusion Models: Foundations, Implementations, and Applications.
CoRR
Yimu Wang, Xuye Liu, Wei Pang, Li Ma, Shuai Yuan, Paul E. Debevec, Ning Yu
2025 J jnl
Survey of Video Diffusion Models: Foundations, Implementations, and Applications.
Trans. Mach. Learn. Res.
Yimu Wang, Xuye Liu, Wei Pang, Li Ma, Shuai Yuan, Paul E. Debevec, Ning Yu
2025 A* conf
Text2Data: Low-Resource Data Generation with Textual Control.
AAAI
Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese
2025 J jnl
VChain: Chain-of-Visual-Thought for Reasoning in Video Generation.
CoRR
Ziqi Huang, Ning Yu, Gordon Chen, Haonan Qiu, Paul Debevec, Ziwei Liu
2025 J jnl
Video4Spatial: Towards Visuospatial Intelligence with Context-Guided Video Generation.
CoRR
Zeqi Xiao, Yiwei Zhao, Lingxiao Li, Yushi Lan, Ning Yu, Rahul Garg, Roshni Cooper, Mohammad H. Taghavi, Xingang Pan
2025 J jnl
Virtually Being: Customizing Camera-Controllable Video Diffusion Models with Multi-View Performance Captures.
CoRR
Yuancheng Xu, Wenqi Xian, Li Ma, Julien Philip, Ahmet Levent Tasel, Yiwei Zhao, Ryan D. Burgert, Mingming He, Oliver Hermann, Oliver Pilarski, Rahul Garg, Paul E. Debevec, Ning Yu
2025 A* conf
Virtually Being: Customizing Camera-Controllable Video Diffusion Models with Volumetric Performance Captures.
SIGGRAPH Asia
Yuancheng Xu, Wenqi Xian, Li Ma, Julien Philip, Ahmet Levent Tasel, Yiwei Zhao, Ryan D. Burgert, Mingming He, Oliver Hermann, Oliver Pilarski, Rahul Garg, Paul E. Debevec, Ning Yu
2024 A* conf
C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models.
ICML
Mintong Kang, Nezihe Merve Gürel, Ning Yu, Dawn Song, Bo Li
2024 J jnl
C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models.
CoRR
Mintong Kang, Nezihe Merve Gürel, Ning Yu, Dawn Song, Bo Li
2024 A* conf
DifFRelight: Diffusion-Based Facial Performance Relighting.
SIGGRAPH Asia
Mingming He, Pascal Clausen, Ahmet Levent Tasel, Li Ma, Oliver Pilarski, Wenqi Xian, Laszlo Rikker, Xueming Yu, Ryan D. Burgert, Ning Yu, Paul E. Debevec
2024 J jnl
DifFRelight: Diffusion-Based Facial Performance Relighting.
CoRR
Mingming He, Pascal Clausen, Ahmet Levent Tasel, Li Ma, Oliver Pilarski, Wenqi Xian, Laszlo Rikker, Xueming Yu, Ryan D. Burgert, Ning Yu, Paul E. Debevec
2024 J jnl
FASTTRACK: Fast and Accurate Fact Tracing for LLMs.
CoRR
Si Chen, Feiyang Kang, Ning Yu, Ruoxi Jia
2024 — conf
FASTTRACK: Reliable Fact Tracing via Clustering and LLM-Powered Evidence Validation.
EMNLP (Findings)
Si Chen, Feiyang Kang, Ning Yu, Ruoxi Jia
2024 A conf
Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models.
WACV
Minxing Zhang, Ning Yu, Rui Wen, Michael Backes, Yang Zhang
2024 A* conf
HIVE: Harnessing Human Feedback for Instructional Visual Editing.
CVPR
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
2024 A* conf
Hierarchical Point Attention for Indoor 3D Object Detection.
ICRA
Manli Shu, Le Xue, Ning Yu, Roberto Martín-Martín, Caiming Xiong, Tom Goldstein, Juan Carlos Niebles, Ran Xu
2024 J jnl
Infinite-Resolution Integral Noise Warping for Diffusion Models.
CoRR
Yitong Deng, Winnie Lin, Lingxiao Li, Dmitriy Smirnov, Ryan D. Burgert, Ning Yu, Vincent Dedun, Mohammad H. Taghavi
2024 A conf
Inside the Black Box: Detecting Data Leakage in Pre-Trained Language Encoders.
ECAI
Yuan Xin, Zheng Li, Ning Yu, Dingfan Chen, Mario Fritz, Michael Backes, Yang Zhang
2024 J jnl
Inside the Black Box: Detecting Data Leakage in Pre-trained Language Encoders.
CoRR
Yuan Xin, Zheng Li, Ning Yu, Dingfan Chen, Mario Fritz, Michael Backes, Yang Zhang
2024 J jnl
JIGMARK: A Black-Box Approach for Enhancing Image Watermarks against Diffusion Model Edits.
CoRR
Minzhou Pan, Yi Zeng, Xue Lin, Ning Yu, Cho-Jui Hsieh, Peter Henderson, Ruoxi Jia
2024 J jnl
Jailbreaking Text-to-Image Models with LLM-Based Agents.
CoRR
Yingkai Dong, Zheng Li, Xiangtao Meng, Ning Yu, Shanqing Guo
2024 — conf
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer.
ECCV (20)
Ning Yu, Chia-Chih Chen, Zeyuan Chen, Rui Meng, Gang Wu, Paul Josel, Juan Carlos Niebles, Caiming Xiong, Ran Xu
2024 J jnl
Membership Inference Attack Against Masked Image Modeling.
CoRR
Zheng Li, Xinlei He, Ning Yu, Yang Zhang
2024 J jnl
Reference-Based 3D-Aware Image Editing with Triplane.
CoRR
Bahri Batuhan Bilecen, Yigit Yalin, Ning Yu, Aysegul Dundar
2024 A* conf
RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content.
ICML
Zhuowen Yuan, Zidi Xiong, Yi Zeng, Ning Yu, Ruoxi Jia, Dawn Song, Bo Li
2024 J jnl
RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content.
CoRR
Zhuowen Yuan, Zidi Xiong, Yi Zeng, Ning Yu, Ruoxi Jia, Dawn Song, Bo Li
2024 A* conf
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models.
NeurIPS
Yuancheng Xu, Jiarui Yao, Manli Shu, Yanchao Sun, Zichu Wu, Ning Yu, Tom Goldstein, Furong Huang
2024 J jnl
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models.
CoRR
Yuancheng Xu, Jiarui Yao, Manli Shu, Yanchao Sun, Zichu Wu, Ning Yu, Tom Goldstein, Furong Huang
2024 — conf
SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models.
NAACL-HLT (Findings)
Hossein Hajipour, Ning Yu, Cristian-Alexandru Staicu, Mario Fritz
2024 J jnl
Text2Data: Low-Resource Data Generation with Textual Control.
CoRR
Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese
2024 A* conf
ULIP-2: Towards Scalable Multimodal Pre-Training for 3D Understanding.
CVPR
Le Xue, Ning Yu, Shu Zhang, Artemis Panagopoulou, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese
2024 — conf
X-InstructBLIP: A Framework for Aligning Image, 3D, Audio, Video to LLMs and its Emergent Cross-Modal Reasoning.
ECCV (45)
Artemis Panagopoulou, Le Xue, Ning Yu, Junnan Li, Dongxu Li, Shafiq Joty, Ran Xu, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles
2024 J jnl
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models.
CoRR
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
2023 A* conf
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders.
CVPR
Zeyang Sha, Xinlei He, Ning Yu, Michael Backes, Yang Zhang
2023 A* conf
DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models.
CCS
Zeyang Sha, Zheng Li, Ning Yu, Yang Zhang
2023 J jnl
Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models.
CoRR
Minxing Zhang, Ning Yu, Rui Wen, Michael Backes, Yang Zhang
2023 A* conf
Generated Graph Detection.
ICML
Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang
2023 J jnl
Generated Graph Detection.
CoRR
Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang
2023 A* conf
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation.
ICCV
Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu
2023 J jnl
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation.
CoRR
Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu
2023 J jnl
HIVE: Harnessing Human Feedback for Instructional Visual Editing.
CoRR
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
2023 A* conf
Mask-Free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations.
CVPR
Vibashan VS, Ning Yu, Chen Xing, Can Qin, Mingfei Gao, Juan Carlos Niebles, Vishal M. Patel, Ran Xu
2023 J jnl
Mask-free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations.
CoRR
Vibashan VS, Ning Yu, Chen Xing, Can Qin, Mingfei Gao, Juan Carlos Niebles, Vishal M. Patel, Ran Xu
2023 J jnl
Model-Agnostic Hierarchical Attention for 3D Object Detection.
CoRR
Manli Shu, Le Xue, Ning Yu, Roberto Martín-Martín, Juan Carlos Niebles, Caiming Xiong, Ran Xu
2023 J jnl
On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts.
CoRR
Yixin Wu, Ning Yu, Michael Backes, Yun Shen, Yang Zhang
2023 — conf
RoSteALS: Robust Steganography using Autoencoder Latent Space.
CVPR Workshops
Tu Bui, Shruti Agarwal, Ning Yu, John P. Collomosse
2023 J jnl
RoSteALS: Robust Steganography using Autoencoder Latent Space.
CoRR
Tu Bui, Shruti Agarwal, Ning Yu, John P. Collomosse
2023 J jnl
ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding.
CoRR
Le Xue, Ning Yu, Shu Zhang, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese
2023 A* conf
UnGANable: Defending Against GAN-based Face Manipulation.
USENIX Security Symposium
Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang
2023 A* conf
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild.
NeurIPS
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
2023 J jnl
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild.
CoRR
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
2023 J jnl
Vision-language models boost food composition compilation.
CoRR
Peihua Ma, Yixin Wu, Ning Yu, Yang Zhang, Michael Backes, Qin Wang, Cheng-I Wei
2023 J jnl
X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning.
CoRR
Artemis Panagopoulou, Le Xue, Ning Yu, Junnan Li, Dongxu Li, Shafiq Joty, Ran Xu, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles
2022 A* conf
Auditing Membership Leakages of Multi-Exit Networks.
CCS
Zheng Li, Yiyong Liu, Xinlei He, Ning Yu, Michael Backes, Yang Zhang
2022 J jnl
Auditing Membership Leakages of Multi-Exit Networks.
CoRR
Zheng Li, Yiyong Liu, Xinlei He, Ning Yu, Michael Backes, Yang Zhang
2022 J jnl
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders.
CoRR
Zeyang Sha, Xinlei He, Ning Yu, Michael Backes, Yang Zhang
2022 J jnl
DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Diffusion Models.
CoRR
Zeyang Sha, Zheng Li, Ning Yu, Yang Zhang
2022 J jnl
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer.
CoRR
Ning Yu, Chia-Chih Chen, Zeyuan Chen, Rui Meng, Gang Wu, Paul Josel, Juan Carlos Niebles, Caiming Xiong, Ran Xu
2022 J jnl
Membership Inference Attacks Against Text-to-image Generation Models.
CoRR
Yixin Wu, Ning Yu, Zheng Li, Michael Backes, Yang Zhang
2022 A* conf
RelaxLoss: Defending Membership Inference Attacks without Losing Utility.
ICLR
Dingfan Chen, Ning Yu, Mario Fritz
2022 J jnl
RelaxLoss: Defending Membership Inference Attacks without Losing Utility.
CoRR
Dingfan Chen, Ning Yu, Mario Fritz
2022 — conf
RepMix: Representation Mixing for Robust Attribution of Synthesized Images.
ECCV (14)
Tu Bui, Ning Yu, John P. Collomosse
2022 J jnl
RepMix: Representation Mixing for Robust Attribution of Synthesized Images.
CoRR
Tu Bui, Ning Yu, John P. Collomosse
2022 A* conf
Responsible Disclosure of Generative Models Using Scalable Fingerprinting.
ICLR
Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry S. Davis, Mario Fritz
2022 J jnl
SimSCOOD: Systematic Analysis of Out-of-Distribution Behavior of Source Code Models.
CoRR
Hossein Hajipour, Ning Yu, Cristian-Alexandru Staicu, Mario Fritz
2022 J jnl
UnGANable: Defending Against GAN-based Face Manipulation.
CoRR
Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang
2022 J jnl
Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation.
CoRR
Rui Meng, Ye Liu, Semih Yavuz, Divyansh Agarwal, Lifu Tu, Ning Yu, Jianguo Zhang, Meghana Bhat, Yingbo Zhou
2021 A* conf
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data.
ICCV
Ning Yu, Vladislav Skripniuk, Sahar Abdelnabi, Mario Fritz
2021 A* conf
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis.
IJCAI
Yang He, Ning Yu, Margret Keuper, Mario Fritz
2021 J jnl
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis.
CoRR
Yang He, Ning Yu, Margret Keuper, Mario Fritz
2021 A conf
Deep Video Inpainting Detection.
BMVC
Peng Zhou, Ning Yu, Zuxuan Wu, Larry Davis, Abhinav Shrivastava, Ser-Nam Lim
2021 J jnl
Deep Video Inpainting Detection.
CoRR
Peng Zhou, Ning Yu, Zuxuan Wu, Larry S. Davis, Abhinav Shrivastava, Ser-Nam Lim
2021 A* conf
Dual Contrastive Loss and Attention for GANs.
ICCV
Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz
2021 J jnl
Dual Contrastive Loss and Attention for GANs.
CoRR
Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz
2021 A* conf
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs.
CVPR
Hui-Po Wang, Ning Yu, Mario Fritz
2021 — —
Human-Centric Deep Generative Models: The Blessing and The Curse.
Ning Yu
2020 J jnl
Black-Box Watermarking for Generative Adversarial Networks.
CoRR
Vladislav Skripniuk, Ning Yu, Sahar Abdelnabi, Mario Fritz
2020 A* conf
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models.
CCS
Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz
2020 J jnl
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs.
CoRR
Hui-Po Wang, Ning Yu, Mario Fritz
2020 — conf
Inclusive GAN: Improving Data and Minority Coverage in Generative Models.
ECCV (22)
Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz
2020 J jnl
Inclusive GAN: Improving Data and Minority Coverage in Generative Models.
CoRR
Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz
2020 — conf
Long-Tailed Recognition Using Class-Balanced Experts.
GCPR
Saurabh Sharma, Ning Yu, Mario Fritz, Bernt Schiele
2020 J jnl
Long-Tailed Recognition Using Class-Balanced Experts.
CoRR
Saurabh Sharma, Ning Yu, Mario Fritz, Bernt Schiele
2020 J jnl
Responsible Disclosure of Generative Models Using Scalable Fingerprinting.
CoRR
Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry Davis, Mario Fritz
2019 A* conf
Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints.
ICCV
Ning Yu, Larry Davis, Mario Fritz
2019 J jnl
GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs.
CoRR
Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz
2019 A* conf
Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture.
CVPR
Ning Yu, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi, Michal Lukác
2019 J jnl
Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture.
CoRR
Ning Yu, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi, Michal Lukác
2018 J jnl
Attributing Fake Images to GANs: Analyzing Fingerprints in Generated Images.
CoRR
Ning Yu, Larry Davis, Mario Fritz
2018 A conf
Learning to Detect Multiple Photographic Defects.
WACV
Ning Yu, Xiaohui Shen, Zhe Lin, Radomír Mech, Connelly Barnes
2016 J jnl
Automatic Image Defect Diagnosis.
CoRR
Ning Yu, Xiaohui Shen, Zhe Lin, Radomír Mech, Connelly Barnes