Jie Zhou

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

Jifeng Dai, Y. Qiao, Xizhou Zhu, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

Jifeng Dai, Zhaoxiang Zhang, Yuntao Chen, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks

Jiannan Wu, Ping Luo, Jifeng Dai, 2023, 2305.11175.

VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks

Jiannan Wu, Ping Luo, Jifeng Dai, 2023, NeurIPS.

Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft

Jifeng Dai, Xue Yang, Xizhou Zhu, 2023, ArXiv.

Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications

Jifeng Dai, Xizhou Zhu, Zhiqi Li, 2024, arXiv.org.

MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer

Jifeng Dai, Xizhou Zhu, Zhe Chen, 2024, ArXiv.

Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning

Xizhou Zhu, Jinguo Zhu, Lewei Lu, 2024, 2406.07543.