Shifeng Zhang

papers

2,520

total citations

papers (21)

Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection

CVPR 2020arXiv

1,940

citations

Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models

NEURIPS 2023arXiv

200

citations

SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models

NEURIPS 2023arXiv

citations

VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection

CVPR 2025arXiv

citations

Accelerating Diffusion Sampling with Optimized Time Steps

CVPR 2024arXiv

citations

iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression

CVPR 2021arXiv

citations

iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder

NEURIPS 2021arXiv

citations

MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation

CVPR 2024arXiv

citations

PILC: Practical Image Lossless Compression With an End-to-End GPU Oriented Neural Framework

CVPR 2022arXiv

citations

FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities

NEURIPS 2025arXiv

citations

OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression

NEURIPS 2021arXiv

citations

Rethinking Correspondence-based Category-Level Object Pose Estimation

CVPR 2025

citations

Generative Map Priors for Collaborative BEV Semantic Segmentation

CVPR 2025

citations

Revisiting Audio-Visual Segmentation with Vision-Centric Transformer

CVPR 2025arXiv

citations

TurboVSR: Fantastic Video Upscalers and Where to Find Them

ICCV 2025arXiv

citations

Understanding and Exploring the Network with Stochastic Architectures

NEURIPS 2020

citations

Structure-Aware Correspondence Learning for Relative Pose Estimation

CVPR 2025arXiv

citations

Shifeng Zhang

papers (21)

Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection

Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models

SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models

VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection

Accelerating Diffusion Sampling with Optimized Time Steps

iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression

iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder

MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation

PILC: Practical Image Lossless Compression With an End-to-End GPU Oriented Neural Framework

FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities

Split Hierarchical Variational Compression

Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis

LiT: Delving into a Simple Linear Diffusion Transformer for Image Generation

Pamba: Enhancing Global Interaction in Point Clouds via State Space Model

OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression

Rethinking Correspondence-based Category-Level Object Pose Estimation

Generative Map Priors for Collaborative BEV Semantic Segmentation

Revisiting Audio-Visual Segmentation with Vision-Centric Transformer

TurboVSR: Fantastic Video Upscalers and Where to Find Them

Understanding and Exploring the Network with Stochastic Architectures

Structure-Aware Correspondence Learning for Relative Pose Estimation

papers (21)

Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection

Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models

SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models

VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection

Accelerating Diffusion Sampling with Optimized Time Steps

iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression

iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder

MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation

PILC: Practical Image Lossless Compression With an End-to-End GPU Oriented Neural Framework

FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities

Split Hierarchical Variational Compression

Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis

LiT: Delving into a Simple Linear Diffusion Transformer for Image Generation

Pamba: Enhancing Global Interaction in Point Clouds via State Space Model

OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression

Rethinking Correspondence-based Category-Level Object Pose Estimation

Generative Map Priors for Collaborative BEV Semantic Segmentation

Revisiting Audio-Visual Segmentation with Vision-Centric Transformer

TurboVSR: Fantastic Video Upscalers and Where to Find Them

Understanding and Exploring the Network with Stochastic Architectures

Structure-Aware Correspondence Learning for Relative Pose Estimation