Jiahao Li

papers

1,949

total citations

papers (25)

Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation

CVPR 2023arXiv

648

citations

Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community

AAAI 2025arXiv

citations

CAD-Llama: Leveraging Large Language Models for Computer-Aided Design Parametric 3D Model Generation

CVPR 2025arXiv

citations

Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning

CVPR 2024arXiv

citations

JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery

ICCV 2023arXiv

citations

FireEdit: Fine-grained Instruction-based Image Editing via Region-aware Vision Language Model

CVPR 2025arXiv

citations

Long-term Temporal Context Gathering for Neural Video Compression

ECCV 2024

citations

Implicit Motion Function

CVPR 2024

citations

PICD: Versatile Perceptual Image Compression with Diffusion Rendering

CVPR 2025arXiv

citations

DLF: Extreme Image Compression with Dual-generative Latent Fusion

ICCV 2025arXiv

citations

BSDB-Net: Band-Split Dual-Branch Network with Selective State Spaces Mechanism for Monaural Speech Enhancement

AAAI 2025arXiv

citations

Iterative Distance-Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration

ECCV 2020arXiv

citations

Motion Information Propagation for Neural Video Compression

CVPR 2023

citations

Hierarchical Intra-modal Correlation Learning for Label-free 3D Semantic Segmentation

CVPR 2024

citations

MaskViM: Domain Generalized Semantic Segmentation with State Space Models

AAAI 2025

citations

Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks

AAAI 2024

citations

Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data

CVPR 2025arXiv

citations

VideoTrack: Learning To Track Objects via Video Transformer

CVPR 2023

citations

Jiahao Li

papers (25)

Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation

Deep Contextual Video Compression

Neural Video Compression With Diverse Contexts

DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model

Neural Video Compression with Feature Modulation

Generative Latent Coding for Ultra-Low Bitrate Image Compression

Towards Practical Real-Time Neural Video Compression

Neural Compression-Based Feature Learning for Video Restoration

Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community

CAD-Llama: Leveraging Large Language Models for Computer-Aided Design Parametric 3D Model Generation

Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning

JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery

FireEdit: Fine-grained Instruction-based Image Editing via Region-aware Vision Language Model

Long-term Temporal Context Gathering for Neural Video Compression

Implicit Motion Function

PICD: Versatile Perceptual Image Compression with Diffusion Rendering

DLF: Extreme Image Compression with Dual-generative Latent Fusion

BSDB-Net: Band-Split Dual-Branch Network with Selective State Spaces Mechanism for Monaural Speech Enhancement

Iterative Distance-Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration

Motion Information Propagation for Neural Video Compression

Hierarchical Intra-modal Correlation Learning for Label-free 3D Semantic Segmentation

MaskViM: Domain Generalized Semantic Segmentation with State Space Models

Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks

Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data

VideoTrack: Learning To Track Objects via Video Transformer

papers (25)

Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation

Deep Contextual Video Compression

Neural Video Compression With Diverse Contexts

DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model

Neural Video Compression with Feature Modulation

Generative Latent Coding for Ultra-Low Bitrate Image Compression

Towards Practical Real-Time Neural Video Compression

Neural Compression-Based Feature Learning for Video Restoration

Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community

CAD-Llama: Leveraging Large Language Models for Computer-Aided Design Parametric 3D Model Generation

Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning

JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery

FireEdit: Fine-grained Instruction-based Image Editing via Region-aware Vision Language Model

Long-term Temporal Context Gathering for Neural Video Compression

Implicit Motion Function

PICD: Versatile Perceptual Image Compression with Diffusion Rendering

DLF: Extreme Image Compression with Dual-generative Latent Fusion

BSDB-Net: Band-Split Dual-Branch Network with Selective State Spaces Mechanism for Monaural Speech Enhancement

Iterative Distance-Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration

Motion Information Propagation for Neural Video Compression

Hierarchical Intra-modal Correlation Learning for Label-free 3D Semantic Segmentation

MaskViM: Domain Generalized Semantic Segmentation with State Space Models

Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks

Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data

VideoTrack: Learning To Track Objects via Video Transformer