Chenxin Tao

According to our database, Chenxin Tao authored at least 13 papers between 2019 and 2025.

Collaborative distances:

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

2025

CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning.

Yang Yue, Yulin Wang, Chenxin Tao, Pan Liu, Shiji Song, Gao Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding.

Chenxin Tao, Shiqian Su, Xizhou Zhu, Chenyu Zhang, Zhe Chen, Jiawen Liu, Wenhai Wang, Lewei Lu, Gao Huang, Yu Qiao, Jifeng Dai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Learning 1D Causal Visual Representation with De-focus Attention Networks.

Chenxin Tao, Xizhou Zhu, Shiqian Su, Lewei Lu, Changyao Tian, Xuan Luo, Gao Huang, Hongsheng Li, Yu Qiao, Jie Zhou, Jifeng Dai

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process.

Changyao Tian, Chenxin Tao, Jifeng Dai, Hao Li, Ziheng Li, Lewei Lu, Xiaogang Wang, Hongsheng Li, Gao Huang, Xizhou Zhu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory.

Xizhou Zhu, Yuntao Chen, Hao Tian, Chenxin Tao, Weijie Su, Chenyu Yang, Gao Huang, Bin Li, Lewei Lu, Xiaogang Wang, Yu Qiao, Zhaoxiang Zhang, Jifeng Dai

CoRR, 2023

BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision.

Chenyu Yang, Yuntao Chen, Hao Tian, Chenxin Tao, Xizhou Zhu, Zhaoxiang Zhang, Gao Huang, Hongyang Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Siamese Image Modeling for Self-Supervised Vision Representation Learning.

Chenxin Tao, Xizhou Zhu, Weijie Su, Gao Huang, Bin Li, Jie Zhou, Yu Qiao, Xiaogang Wang, Jifeng Dai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information.

Weijie Su, Xizhou Zhu, Chenxin Tao, Lewei Lu, Bin Li, Gao Huang, Yu Qiao, Xiaogang Wang, Jie Zhou, Jifeng Dai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Siamese Image Modeling for Self-Supervised Vision Representation Learning.

Chenxin Tao, Xizhou Zhu, Gao Huang, Yu Qiao, Xiaogang Wang, Jifeng Dai

CoRR, 2022

Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework.

Chenxin Tao, Honghui Wang, Xizhou Zhu, Jiahua Dong, Shiji Song, Gao Huang, Jifeng Dai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Searching Parameterized AP Loss for Object Detection.

Chenxin Tao, Zizhang Li, Xizhou Zhu, Gao Huang, Yong Liu, Jifeng Dai

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

Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation.

Hao Li, Chenxin Tao, Xizhou Zhu, Xiaogang Wang, Gao Huang, Jifeng Dai

Proceedings of the 9th International Conference on Learning Representations, 2021

2019

Learning Channel-Wise Interactions for Binary Convolutional Neural Networks.

Ziwei Wang, Jiwen Lu, Chenxin Tao, Jie Zhou, Qi Tian

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019