Codella, Noel

8 publications

AAAI 2023 I-Code: An Integrative and Composable Multimodal Learning Framework Ziyi Yang, Yuwei Fang, Chenguang Zhu, Reid Pryzant, Dongdong Chen, Yu Shi, Yichong Xu, Yao Qian, Mei Gao, Yi-Ling Chen, Liyang Lu, Yujia Xie, Robert Gmyr, Noel Codella, Naoyuki Kanda, Bin Xiao, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang

CVPR 2023 Streaming Video Model Yucheng Zhao, Chong Luo, Chuanxin Tang, Dongdong Chen, Noel Codella, Zheng-Jun Zha

ECCV 2022 DaViT: Dual Attention Vision Transformers Mingyu Ding, Bin Xiao, Noel Codella, Ping Luo, Jingdong Wang, Lu Yuan

ECCV 2022 Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-Training Haoxuan You, Luowei Zhou, Bin Xiao, Noel Codella, Yu Cheng, Ruochen Xu, Shih-Fu Chang, Lu Yuan

CVPR 2022 RegionCLIP: Region-Based Language-Image Pretraining Yiwu Zhong, Jianwei Yang, Pengchuan Zhang, Chunyuan Li, Noel Codella, Liunian Harold Li, Luowei Zhou, Xiyang Dai, Lu Yuan, Yin Li, Jianfeng Gao

ICCV 2021 CvT: Introducing Convolutions to Vision Transformers Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, Lei Zhang

CVPRW 2020 P2L: Predicting Transfer Learning for Images and Semantic Relations Bishwaranjan Bhattacharjee, John R. Kender, Matthew Hill, Parijat Dube, Siyu Huo, Michael R. Glass, Brian M. Belgodere, Sharath Pankanti, Noel Codella, Patrick Watson

ICLR 2016 Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks Pouya Bashivan, Irina Rish, Mohammed Yeasin, Noel Codella