Chongjian Ge

According to our database, Chongjian Ge authored at least 25 papers between 2021 and 2024.

Collaborative distances:

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

2024

Rethinking Attentive Object Detection via Neural Attention Learning.

Chongjian Ge, Yibing Song, Chao Ma, Yuankai Qi, Ping Luo

IEEE Trans. Image Process., 2024

PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.

Junsong Chen, Chongjian Ge, Enze Xie, Yue Wu, Lewei Yao, Xiaozhe Ren, Zhongdao Wang, Ping Luo, Huchuan Lu, Zhenguo Li

CoRR, 2024

RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis.

Yao Mu, Junting Chen, Qinglong Zhang, Shoufa Chen, Qiaojun Yu, Chongjian Ge, Runjian Chen, Zhixuan Liang, Mengkang Hu, Chaofan Tao, Peize Sun, Haibao Yu, Chao Yang, Wenqi Shao, Wenhai Wang, Jifeng Dai, Yu Qiao, Mingyu Ding, Ping Luo

CoRR, 2024

DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving.

Tianqi Wang, Sukmin Kim, Wenxuan Ji, Enze Xie, Chongjian Ge, Junsong Chen, Zhenguo Li, Ping Luo

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

2023

CycleMLP: A MLP-Like Architecture for Dense Visual Predictions.

Shoufa Chen, Enze Xie, Chongjian Ge, Runjian Chen, Ding Liang, Ping Luo

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Advancing Vision Transformers with Group-Mix Attention.

Chongjian Ge, Xiaohan Ding, Zhan Tong, Li Yuan, Jiangliu Wang, Yibing Song, Ping Luo

CoRR, 2023

Large Language Models as Automated Aligners for benchmarking Vision-Language Models.

Yuanfeng Ji, Chongjian Ge, Weikai Kong, Enze Xie, Zhengying Liu, Zhengguo Li, Ping Luo

CoRR, 2023

InstructDET: Diversifying Referring Object Detection with Generalized Instructions.

Ronghao Dang, Jiangyan Feng, Haodong Zhang, Chongjian Ge, Lin Song, Lijun Gong, Chengju Liu, Qijun Chen, Feng Zhu, Rui Zhao, Yibing Song

CoRR, 2023

PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

Junsong Chen, Jincheng Yu, Chongjian Ge, Lewei Yao, Enze Xie, Yue Wu, Zhongdao Wang, James T. Kwok, Ping Luo, Huchuan Lu, Zhenguo Li

CoRR, 2023

Speed Co-Augmentation for Unsupervised Audio-Visual Pre-training.

Jiangliu Wang, Jianbo Jiao, Yibing Song, Stephen James, Zhan Tong, Chongjian Ge, Pieter Abbeel, Yunhui Liu

CoRR, 2023

MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation.

Chongjian Ge, Junsong Chen, Enze Xie, Zhongdao Wang, Lanqing Hong, Huchuan Lu, Zhenguo Li, Ping Luo

CoRR, 2023

DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving.

Tianqi Wang, Sukmin Kim, Wenxuan Ji, Enze Xie, Chongjian Ge, Junsong Chen, Zhenguo Li, Ping Luo

CoRR, 2023

Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning.

Chongjian Ge, Jiangliu Wang, Zhan Tong, Shoufa Chen, Yibing Song, Ping Luo

Proceedings of the Eleventh International Conference on Learning Representations, 2023

MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation.

Chongjian Ge, Junsong Chen, Enze Xie, Zhongdao Wang, Lanqing Hong, Huchuan Lu, Zhenguo Li, Ping Luo

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

2022

Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations.

Youwei Liang, Chongjian Ge, Zhan Tong, Yibing Song, Jue Wang, Pengtao Xie

CoRR, 2022

AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation.

Yuanfeng Ji, Haotian Bai, Chongjian Ge, Jie Yang, Ye Zhu, Ruimao Zhang, Zhen Li, Lingyan Zhang, Wanling Ma, Xiang Wan, Ping Luo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition.

Shoufa Chen, Chongjian Ge, Zhan Tong, Jiangliu Wang, Yibing Song, Jue Wang, Ping Luo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

EViT: Expediting Vision Transformers via Token Reorganizations.

Youwei Liang, Chongjian Ge, Zhan Tong, Yibing Song, Jue Wang, Pengtao Xie

Proceedings of the Tenth International Conference on Learning Representations, 2022

CycleMLP: A MLP-like Architecture for Dense Prediction.

Shoufa Chen, Enze Xie, Chongjian Ge, Runjian Chen, Ding Liang, Ping Luo

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning.

Chongjian Ge, Youwei Liang, Yibing Song, Jianbo Jiao, Jue Wang, Ping Luo

CoRR, 2021

CycleMLP: A MLP-like Architecture for Dense Prediction.

Shoufa Chen, Enze Xie, Chongjian Ge, Ding Liang, Ping Luo

CoRR, 2021

Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning.

Chongjian Ge, Youwei Liang, Yibing Song, Jianbo Jiao, Jue Wang, Ping Luo

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

Watch Only Once: An End-to-End Video Action Detection Framework.

Shoufa Chen, Peize Sun, Enze Xie, Chongjian Ge, Jiannan Wu, Lan Ma, Jiajun Shen, Ping Luo

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Parser-Free Virtual Try-On via Distilling Appearance Flows.

Yuying Ge, Yibing Song, Ruimao Zhang, Chongjian Ge, Wei Liu, Ping Luo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Disentangled Cycle Consistency for Highly-Realistic Virtual Try-On.

Chongjian Ge, Yibing Song, Yuying Ge, Han Yang, Wei Liu, Ping Luo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021