Boxi Wu

According to our database, Boxi Wu authored at least 36 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CrossFormer++: A Versatile Vision Transformer Hinging on Cross-Scale Attention.

Wenxiao Wang, Wei Chen, Qibo Qiu, Long Chen, Boxi Wu, Binbin Lin, Xiaofei He, Wei Liu

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Temporal Feature Fusion for 3D Detection in Monocular Video.

Haoran Cheng, Liang Peng, Zheng Yang, Binbin Lin, Xiaofei He, Boxi Wu

IEEE Trans. Image Process., 2024

ConsistencyTrack: A Robust Multi-Object Tracker with a Generation Strategy of Consistency Model.

Lifan Jiang, Zhihui Wang, Siqi Yin, Guangxiao Ma, Peng Zhang, Boxi Wu

CoRR, 2024

Searching Priors Makes Text-to-Video Synthesis Better.

Haoran Cheng, Liang Peng, Linxuan Xia, Yuepeng Hu, Hengjia Li, Qinglin Lu, Xiaofei He, Boxi Wu

CoRR, 2024

Object Detectors in the Open Environment: Challenges, Solutions, and Outlook.

Siyuan Liang, Wei Wang, Ruoyu Chen, Aishan Liu, Boxi Wu, Ee-Chien Chang, Xiaochun Cao, Dacheng Tao

CoRR, 2024

LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in Training-Free Diffusion Models.

Yang Yang, Wen Wang, Liang Peng, Chaotian Song, Yao Chen, Hengjia Li, Xiaolong Yang, Qinglin Lu, Deng Cai, Boxi Wu, Wei Liu

CoRR, 2024

UniHDA: Towards Universal Hybrid Domain Adaptation of Image Generators.

Hengjia Li, Yang Liu, Yuqi Lin, Zhanwei Zhang, Yibo Zhao, weihang Pan, Tu Zheng, Zheng Yang, Yuchun Jiang, Boxi Wu, Deng Cai

CoRR, 2024

A typology of artificial intelligence data work.

James Muldoon, Callum Cant, Boxi Wu, Mark Graham

Big Data Soc., 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Local Conditional Controlling for Text-to-Image Diffusion Models.

Yibo Zhao, Liang Peng, Yang Yang, Zekai Luo, Hengjia Li, Yao Chen, Wei Zhao, Qinglin Lu, Wei Liu, Boxi Wu

CoRR, 2023

Smooth Video Synthesis with Noise Constraints on Diffusion Models for One-shot Video Tuning.

Liang Peng, Haoran Cheng, Zheng Yang, Ruisi Zhao, Linxuan Xia, Chaotian Song, Qinglin Lu, Wei Liu, Boxi Wu

CoRR, 2023

NormKD: Normalized Logits for Knowledge Distillation.

Zhihao Chi, Tu Zheng, Hengjia Li, Zheng Yang, Boxi Wu, Binbin Lin, Deng Cai

CoRR, 2023

APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud Understanding.

Hengjia Li, Tu Zheng, Zhihao Chi, Zheng Yang, Wenxiao Wang, Boxi Wu, Binbin Lin, Deng Cai

CoRR, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Representation in AI Evaluations.

A. Stevie Bergman, Lisa Anne Hendricks, Maribeth Rauh, Boxi Wu, William Agnew, Markus Kunesch, Isabella Duan, Iason Gabriel, William Isaac

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Improving alignment of dialogue agents via targeted human judgements.

Amelia Glaese, Nat McAleese, Maja Trebacz, John Aslanides, Vlad Firoiu, Timo Ewalds, Maribeth Rauh, Laura Weidinger, Martin J. Chadwick, Phoebe Thacker, Lucy Campbell-Gillingham, Jonathan Uesato, Po-Sen Huang, Ramona Comanescu, Fan Yang, Abigail See, Sumanth Dathathri, Rory Greig, Charlie Chen, Doug Fritz, Jaume Sanchez Elias, Richard Green, Sona Mokrá, Nicholas Fernando, Boxi Wu, Rachel Foley, Susannah Young, Iason Gabriel, William Isaac, John Mellor, Demis Hassabis, Koray Kavukcuoglu, Lisa Anne Hendricks, Geoffrey Irving

CoRR, 2022

Towards In-distribution Compatibility in Out-of-distribution Detection.

Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu

CoRR, 2022

WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection.

Liang Peng, Senbo Yan, Boxi Wu, Zheng Yang, Xiaofei He, Deng Cai

Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Efficient Adversarial Training on Vision Transformers.

Boxi Wu, Jindong Gu, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Attacking Adversarial Attacks as A Defense.

Boxi Wu, Heng Pan, Li Shen, Jindong Gu, Shuai Zhao, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu

CoRR, 2021

Do Wider Neural Networks Really Help Adversarial Robustness?

Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Accelerate Your CNN from Three Dimensions: A Comprehensive Pruning Framework.

Wenxiao Wang, Minghao Chen, Shuai Zhao, Jinming Hu, Boxi Wu, Zhengxu Yu, Deng Cai, Haifeng Liu

CoRR, 2020

Does Network Width Really Help Adversarial Robustness?

Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu

CoRR, 2020

2019

Correlation Maximized Structural Similarity Loss for Semantic Segmentation.

Shuai Zhao, Boxi Wu, Wenqing Chu, Yao Hu, Deng Cai

CoRR, 2019

Improving Semantic Segmentation via Dilated Affinity.

Boxi Wu, Shuai Zhao, Wenqing Chu, Zheng Yang, Deng Cai

CoRR, 2019

2006

TCP Performance Improvement through Inter-layer Enhancement with Mobile IPv6.

Deguang Le, Donghui Guo, Boxi Wu

Proceedings of the Global Telecommunications Conference, 2006. GLOBECOM '06, San Francisco, CA, USA, 27 November, 2006

2003

Mobile IPv6 in WLAN mobile networks and its implementation.

Deguang Le, Donghui Guo, Boxi Wu, Gerard Parr

Proceedings of the IEEE 14th International Symposium on Personal, 2003

1999

The animal tests of chaotic signal therapy for epilepsy (CSTE).

Shenchu Xu, Zhenxiang Chen, Jinshui Zhong, Boxi Wu, Guoqiang Gao, Hang Xiao, Jianping Wu, Yun Shi, Jian Chen, Xiaofan Yang

Proceedings of the International Joint Conference Neural Networks, 1999

Pattern grouping strategy makes BP algorithm less sensitive to learning rate.

Yingyang Lu, Shenchu Xu, Boxi Wu, Zhenxiang Chen

Proceedings of the International Joint Conference Neural Networks, 1999