Boxi Wu

papers

585

total citations

papers (13)

CLIP Is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation

CVPR 2023arXiv

189

citations

PersonalVideo: High ID-Fidelity Video Customization without Dynamic and Semantic Degradation

ICCV 2025arXiv

citations

TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation

CVPR 2024arXiv

citations

Local Conditional Controlling for Text-to-Image Diffusion Models

AAAI 2025arXiv

citations

MagicID: Hybrid Preference Optimization for ID-Consistent and Dynamic-Preserved Video Customization

ICCV 2025arXiv

citations

Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection

CVPR 2024arXiv

citations

Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing

AAAI 2024

citations

Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization

CVPR 2023

citations

Boxi Wu

papers (13)

CLIP Is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation

Do Wider Neural Networks Really Help Adversarial Robustness?

GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds

One-shot Implicit Animatable Avatars with Model-based Priors

Towards Efficient Adversarial Training on Vision Transformers

Learning Occupancy for Monocular 3D Object Detection

PersonalVideo: High ID-Fidelity Video Customization without Dynamic and Semantic Degradation

TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation

Local Conditional Controlling for Text-to-Image Diffusion Models

MagicID: Hybrid Preference Optimization for ID-Consistent and Dynamic-Preserved Video Customization

Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection

Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing

Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization

papers (13)

CLIP Is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation

Do Wider Neural Networks Really Help Adversarial Robustness?

GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds

One-shot Implicit Animatable Avatars with Model-based Priors

Towards Efficient Adversarial Training on Vision Transformers

Learning Occupancy for Monocular 3D Object Detection

PersonalVideo: High ID-Fidelity Video Customization without Dynamic and Semantic Degradation

TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation

Local Conditional Controlling for Text-to-Image Diffusion Models

MagicID: Hybrid Preference Optimization for ID-Consistent and Dynamic-Preserved Video Customization

Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection

Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing

Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization