Wu, Boxi

16 publications

AAAI 2025 Local Conditional Controlling for Text-to-Image Diffusion Models Yibo Zhao, Liang Peng, Yang Yang, Zekai Luo, Hengjia Li, Yao Chen, Zheng Yang, Xiaofei He, Wei Zhao, Qinglin Lu, Wei Liu, Boxi Wu

ICCV 2025 MagicID: Hybrid Preference Optimization for ID-Consistent and Dynamic-Preserved Video Customization Hengjia Li, Lifan Jiang, Xi Xiao, Tianyang Wang, Hongwei Yi, Boxi Wu, Deng Cai

ICCV 2025 PersonalVideo: High ID-Fidelity Video Customization Without Dynamic and Semantic Degradation Hengjia Li, Haonan Qiu, Shiwei Zhang, Xiang Wang, Yujie Wei, Zekun Li, Yingya Zhang, Boxi Wu, Deng Cai

NeurIPS 2025 Self-Supervised Direct Preference Optimization for Text-to-Image Diffusion Models Liang Peng, Boxi Wu, Haoran Cheng, Yibo Zhao, Xiaofei He

CVPR 2024 Learning Occupancy for Monocular 3D Object Detection Liang Peng, Junkai Xu, Haoran Cheng, Zheng Yang, Xiaopei Wu, Wei Qian, Wenxiao Wang, Boxi Wu, Deng Cai

CVPR 2024 Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-Dataset 3D Object Detection Zhanwei Zhang, Minghao Chen, Shuai Xiao, Liang Peng, Hengjia Li, Binbin Lin, Ping Li, Wenxiao Wang, Boxi Wu, Deng Cai

CVPR 2024 TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation Xiaopei Wu, Yuenan Hou, Xiaoshui Huang, Binbin Lin, Tong He, Xinge Zhu, Yuexin Ma, Boxi Wu, Haifeng Liu, Deng Cai, Wanli Ouyang

AAAI 2024 Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing Ruisi Zhao, Mingming Li, Zheng Yang, Binbin Lin, Xiaohui Zhong, Xiaobo Ren, Deng Cai, Boxi Wu

CVPR 2023 CLIP Is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation Yuqi Lin, Minghao Chen, Wenxiao Wang, Boxi Wu, Ke Li, Binbin Lin, Haifeng Liu, Xiaofei He

CVPR 2023 Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization Aishan Liu, Shiyu Tang, Siyuan Liang, Ruihao Gong, Boxi Wu, Xianglong Liu, Dacheng Tao

CVPR 2023 GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds Honghui Yang, Tong He, Jiaheng Liu, Hua Chen, Boxi Wu, Binbin Lin, Xiaofei He, Wanli Ouyang

ICCV 2023 One-Shot Implicit Animatable Avatars with Model-Based Priors Yangyi Huang, Hongwei Yi, Weiyang Liu, Haofan Wang, Boxi Wu, Wenxiao Wang, Binbin Lin, Debing Zhang, Deng Cai

AAAI 2023 Towards In-Distribution Compatible Out-of-Distribution Detection Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu

ECCV 2022 Towards Efficient Adversarial Training on Vision Transformers Boxi Wu, Jindong Gu, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu

ICLR 2022 WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection Liang Peng, Senbo Yan, Boxi Wu, Zheng Yang, Xiaofei He, Deng Cai

NeurIPS 2021 Do Wider Neural Networks Really Help Adversarial Robustness? Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu