Ning Yu

papers

1,349

total citations

papers (20)

Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data

ICCV 2021arXiv

277

citations

UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild

NEURIPS 2023arXiv

202

citations

RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content

ICML 2024arXiv

citations

Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise

CVPR 2025arXiv

citations

Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders

CVPR 2023arXiv

citations

RepMix: Representation Mixing for Robust Attribution of Synthesized Images

ECCV 2022arXiv

citations

C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models

ICML 2024arXiv

citations

Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs

CVPR 2021arXiv

citations

GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation

ICCV 2023arXiv

citations

Mask-Free OVIS: Open-Vocabulary Instance Segmentation Without Manual Mask Annotations

CVPR 2023arXiv

citations

Lux Post Facto: Learning Portrait Performance Relighting with Conditional Video Diffusion and a Hybrid Dataset

CVPR 2025arXiv

citations

Reference-Based 3D-Aware Image Editing with Triplanes

CVPR 2025arXiv

citations

X-InstructBLIP: A Framework for Aligning Image, 3D, Audio, Video to LLMs and its Emergent Cross-modal Reasoning

ECCV 2024

citations

FlashDepth: Real-time Streaming Video Depth Estimation at 2K Resolution

ICCV 2025arXiv

citations

Detecting Adversarial Data Using Perturbation Forgery

CVPR 2025arXiv

citations

Text2Data: Low-Resource Data Generation with Textual Control

AAAI 2025arXiv

citations

Ning Yu

papers (20)

Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data

UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild

ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding

HIVE: Harnessing Human Feedback for Instructional Visual Editing

Dual Contrastive Loss and Attention for GANs

Inclusive GAN: Improving Data and Minority Coverage in Generative Models

RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content

Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise

Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders

RepMix: Representation Mixing for Robust Attribution of Synthesized Images

C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models

Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs

GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation

Mask-Free OVIS: Open-Vocabulary Instance Segmentation Without Manual Mask Annotations

Lux Post Facto: Learning Portrait Performance Relighting with Conditional Video Diffusion and a Hybrid Dataset

Reference-Based 3D-Aware Image Editing with Triplanes

X-InstructBLIP: A Framework for Aligning Image, 3D, Audio, Video to LLMs and its Emergent Cross-modal Reasoning

FlashDepth: Real-time Streaming Video Depth Estimation at 2K Resolution

Detecting Adversarial Data Using Perturbation Forgery

Text2Data: Low-Resource Data Generation with Textual Control

papers (20)

Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data

UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild

ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding

HIVE: Harnessing Human Feedback for Instructional Visual Editing

Dual Contrastive Loss and Attention for GANs

Inclusive GAN: Improving Data and Minority Coverage in Generative Models

RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content

Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise

Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders

RepMix: Representation Mixing for Robust Attribution of Synthesized Images

C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models

Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs

GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation

Mask-Free OVIS: Open-Vocabulary Instance Segmentation Without Manual Mask Annotations

Lux Post Facto: Learning Portrait Performance Relighting with Conditional Video Diffusion and a Hybrid Dataset

Reference-Based 3D-Aware Image Editing with Triplanes

X-InstructBLIP: A Framework for Aligning Image, 3D, Audio, Video to LLMs and its Emergent Cross-modal Reasoning

FlashDepth: Real-time Streaming Video Depth Estimation at 2K Resolution

Detecting Adversarial Data Using Perturbation Forgery

Text2Data: Low-Resource Data Generation with Textual Control