Noel Codella

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 31

Top Topics

Language Understanding

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Fernando Pérez-García, Harshita Sharma, Sam Bond-Taylor, Kenza Bouzid, Valentina Salvatelli, Maximilian Ilse, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Matthew P. Lungren, Maria Wetscherek, Noel Codella, Stephanie L. Hyland, Javier Alvarez-Valle, Ozan Oktay
RAD-DINO: Exploring Scalable Medical Image Encoders Beyond Text Supervision. CoRR (2024)
Lingting Zhu, Noel Codella, Dongdong Chen, Zhenchao Jin, Lu Yuan, Lequan Yu
Generative Enhancement for 3D Medical Images. CoRR (2024)
Rui Sun, Zhecan Wang, Haoxuan You, Noel Codella, Kai-Wei Chang, Shih-Fu Chang
UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding. ACL (Findings) (2023)
Chongyan Chen, Mengchen Liu, Noel Codella, Yunsheng Li, Lu Yuan, Danna Gurari
Fully Authentic Visual Question Answering Dataset from Online Communities. CoRR (2023)
Yucheng Zhao, Chong Luo, Chuanxin Tang, Dongdong Chen, Noel Codella, Zheng-Jun Zha
Streaming Video Model. CVPR (2023)
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
i-Code: An Integrative and Composable Multimodal Learning Framework. AAAI (2023)
Ziyi Yang, Mahmoud Khademi, Yichong Xu, Reid Pryzant, Yuwei Fang, Chenguang Zhu, Dongdong Chen, Yao Qian, Mei Gao, Yi-Ling Chen, Robert Gmyr, Naoyuki Kanda, Noel Codella, Bin Xiao, Yu Shi, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang
i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. CoRR (2023)
Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Mercy Ranjit, Anton Schwaighofer, Fernando Pérez-García, Valentina Salvatelli, Shaury Srivastav, Anja Thieme, Noel Codella, Matthew P. Lungren, Maria Teodora Wetscherek, Ozan Oktay, Javier Alvarez-Valle
MAIRA-1: A specialised large multimodal model for radiology report generation. CoRR (2023)
Zhecan Wang, Long Chen, Haoxuan You, Keyang Xu, Yicheng He, Wenhao Li, Noel Codella, Kai-Wei Chang, Shih-Fu Chang
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond. EMNLP (Findings) (2023)
Zhecan Wang, Long Chen, Haoxuan You, Keyang Xu, Yicheng He, Wenhao Li, Noel Codella, Kai-Wei Chang, Shih-Fu Chang
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond. CoRR (2023)
Yucheng Zhao, Chong Luo, Chuanxin Tang, Dongdong Chen, Noel Codella, Zheng-Jun Zha
Streaming Video Model. CoRR (2023)
Rui Sun, Zhecan Wang, Haoxuan You, Noel Codella, Kai-Wei Chang, Shih-Fu Chang
UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding. CoRR (2023)
Mingyu Ding, Bin Xiao, Noel Codella, Ping Luo, Jingdong Wang, Lu Yuan
DaViT: Dual Attention Vision Transformers. CoRR (2022)
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
i-Code: An Integrative and Composable Multimodal Learning Framework. CoRR (2022)
Yiwu Zhong, Jianwei Yang, Pengchuan Zhang, Chunyuan Li, Noel Codella, Liunian Harold Li, Luowei Zhou, Xiyang Dai, Lu Yuan, Yin Li, Jianfeng Gao
RegionCLIP: Region-based Language-Image Pretraining. CVPR (2022)
Haoxuan You, Luowei Zhou, Bin Xiao, Noel Codella, Yu Cheng, Ruochen Xu, Shih-Fu Chang, Lu Yuan
Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training. ECCV (27) (2022)
Zhecan Wang, Noel Codella, Yen-Chun Chen, Luowei Zhou, Jianwei Yang, Xiyang Dai, Bin Xiao, Haoxuan You, Shih-Fu Chang, Lu Yuan
CLIP-TD: CLIP Targeted Distillation for Vision-Language Tasks. CoRR (2022)
Haoxuan You, Luowei Zhou, Bin Xiao, Noel Codella, Yu Cheng, Ruochen Xu, Shih-Fu Chang, Lu Yuan
Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training. CoRR (2022)
Mingyu Ding, Bin Xiao, Noel Codella, Ping Luo, Jingdong Wang, Lu Yuan
DaViT: Dual Attention Vision Transformers. ECCV (24) (2022)
Zhecan Wang, Noel Codella, Yen-Chun Chen, Luowei Zhou, Xiyang Dai, Bin Xiao, Jianwei Yang, Haoxuan You, Kai-Wei Chang, Shih-Fu Chang, Lu Yuan
Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks. CoRR (2022)
Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, Lei Zhang
CvT: Introducing Convolutions to Vision Transformers. ICCV (2021)
Yiwu Zhong, Jianwei Yang, Pengchuan Zhang, Chunyuan Li, Noel Codella, Liunian Harold Li, Luowei Zhou, Xiyang Dai, Lu Yuan, Yin Li, Jianfeng Gao
RegionCLIP: Region-based Language-Image Pretraining. CoRR (2021)
Lu Yuan, Dongdong Chen, Yi-Ling Chen, Noel Codella, Xiyang Dai, Jianfeng Gao, Houdong Hu, Xuedong Huang, Boxin Li, Chunyuan Li, Ce Liu, Mengchen Liu, Zicheng Liu, Yumao Lu, Yu Shi, Lijuan Wang, Jianfeng Wang, Bin Xiao, Zhen Xiao, Jianwei Yang, Michael Zeng, Luowei Zhou, Pengchuan Zhang
Florence: A New Foundation Model for Computer Vision. CoRR (2021)
Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, Lei Zhang
CvT: Introducing Convolutions to Vision Transformers. CoRR (2021)
Bishwaranjan Bhattacharjee, John R. Kender, Matthew Hill, Parijat Dube, Siyu Huo, Michael R. Glass, Brian M. Belgodere, Sharath Pankanti, Noel Codella, Patrick Watson
P2L: Predicting Transfer Learning for Images and Semantic Relations. CVPR Workshops (2020)
Yunhui Guo, Noel Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogério Feris
A Broader Study of Cross-Domain Few-Shot Learning. ECCV (27) (2020)
Veronica Rotemberg, Nicholas Kurtansky, Brigid Betz-Stablein, Liam J. Caffery, Emmanouil Chousakos, Noel Codella, Marc Combalia, Stephen W. Dusza, Pascale Guitera, David A. Gutman, Allan Halpern, Harald Kittler, Kivanç Köse, Steve Langer, Konstantinos Liopryis, Josep Malvehy, Shenara Musthaq, Jabpani Nanda, Ofer Reiter, George Shih, Alexander Stratigos, Philipp Tschandl, Jochen Weber, H. Peter Soyer
A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context. CoRR (2020)
Bishwaranjan Bhattacharjee, Noel Codella, John R. Kender, Siyu Huo, Patrick Watson, Michael R. Glass, Parijat Dube, Matthew Hill, Brian M. Belgodere
P2L: Predicting Transfer Learning for Images and Semantic Relations. CoRR (2019)
M. Emre Celebi, Noel Codella, Allan Halpern, Dinggang Shen
Guest Editorial Skin Lesion Image Analysis for Melanoma Detection. IEEE J. Biomed. Health Informatics 23 (2) (2019)
M. Emre Celebi, Noel Codella, Allan Halpern
Dermoscopy Image Analysis: Overview and Future Directions. IEEE J. Biomed. Health Informatics 23 (2) (2019)
Pouya Bashivan, Irina Rish, Mohammed Yeasin, Noel Codella
Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks. ICLR (Poster) (2016)
Noel Codella, Junjie Cai, Mani Abedini, Rahil Garnavi, Alan Halpern, John R. Smith
Deep Learning, Sparse Coding, and SVM for Melanoma Recognition in Dermoscopy Images. MLMI (2015)
Lisa M. Brown, Liangliang Cao, Chih-Fu Chang, Yu Cheng, Alok N. Choudhary, Noel Codella, Courtenay V. Cotton, Dan Ellis, Quanfu Fan, Rogério Schmidt Feris, Leiguang Gong, Matthew L. Hill, Gang Hua, John R. Kender, Michele Merler, Yadong Mu, Sharath Pankanti, John R. Smith, Felix X. Yu
IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic Indexing (SIN) Systems. TRECVID (2013)
Liangliang Cao, Shih-Fu Chang, Noel Codella, Courtenay V. Cotton, Dan Ellis, Leiguang Gong, Matthew L. Hill, Gang Hua, John R. Kender, Michele Merler, Yadong Mu, John R. Smith, Felix X. Yu
IBM Research and Columbia University TRECVID-2012 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), and Semantic Indexing (SIN) Systems. TRECVID (2012)
Liangliang Cao, Shih-Fu Chang, Noel Codella, Courtenay V. Cotton, Dan Ellis, Leiguang Gong, Matthew L. Hill, Gang Hua, John R. Kender, Michele Merler, Yadong Mu, Apostol Natsev, John R. Smith
IBM Research and Columbia University TRECVID-2011 Multimedia Event Detection (MED) System. TRECVID (2011)