Noel Codella

According to our database, Noel Codella authored at least 56 papers between 2010 and 2024.

Collaborative distances:

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

2024

Generative Enhancement for 3D Medical Images.

Lingting Zhu, Noel Codella, Dongdong Chen, Zhenchao Jin, Lu Yuan, Lequan Yu

CoRR, 2024

RAD-DINO: Exploring Scalable Medical Image Encoders Beyond Text Supervision.

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

CoRR, 2024

2023

Fully Authentic Visual Question Answering Dataset from Online Communities.

Chongyan Chen, Mengchen Liu, Noel Codella, Yunsheng Li, Lu Yuan, Danna Gurari

CoRR, 2023

3D-MIR: A Benchmark and Empirical Study on 3D Medical Image Retrieval in Radiology.

Asma Ben Abacha, Alberto Santamaría-Pang, Ho Hin Lee, Jameson Merkow, Qin Cai, Surya Teja Devarakonda, Abdullah Islam, Julia Gong, Matthew P. Lungren, Thomas Lin, Noel C. F. Codella, Ivan Tarapov

CoRR, 2023

MAIRA-1: A specialised large multimodal model for radiology report generation.

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

CoRR, 2023

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data.

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

CoRR, 2023

Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond.

Zhecan Wang, Long Chen, Haoxuan You, Keyang Xu, Yicheng He, Wenhao Li, Noel Codella, Kai-Wei Chang, Shih-Fu Chang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Streaming Video Model.

Yucheng Zhao, Chong Luo, Chuanxin Tang, Dongdong Chen, Noel Codella, Zheng-Jun Zha

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

UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding.

Rui Sun, Zhecan Wang, Haoxuan You, Noel Codella, Kai-Wei Chang, Shih-Fu Chang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks.

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

CoRR, 2022

CLIP-TD: CLIP Targeted Distillation for Vision-Language Tasks.

Zhecan Wang, Noel Codella, Yen-Chun Chen, Luowei Zhou, Jianwei Yang, Xiyang Dai, Bin Xiao, Haoxuan You, Shih-Fu Chang, Lu Yuan

CoRR, 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

Proceedings of the Computer Vision - ECCV 2022, 2022

DaViT: Dual Attention Vision Transformers.

Mingyu Ding, Bin Xiao, Noel Codella, Ping Luo, Jingdong Wang, Lu Yuan

Proceedings of the Computer Vision, 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

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

2021

Florence: A New Foundation Model for Computer Vision.

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

CoRR, 2021

CvT: Introducing Convolutions to Vision Transformers.

Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, Lei Zhang

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

2020

A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context.

Veronica Rotemberg, Nicholas R. 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

CoRR, 2020

Fairness of Classifiers Across Skin Tones in Dermatology.

Newton M. Kinyanjui, Timothy Odonga, Celia Cintas, Noel C. F. Codella, Rameswar Panda, Prasanna Sattigeri, Kush R. Varshney

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A Broader Study of Cross-Domain Few-Shot Learning.

Yunhui Guo, Noel Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogério Feris

Proceedings of the Computer Vision - ECCV 2020, 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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Guest Editorial Skin Lesion Image Analysis for Melanoma Detection.

M. Emre Celebi, Noel Codella, Allan Halpern, Dinggang Shen

IEEE J. Biomed. Health Informatics, 2019

Dermoscopy Image Analysis: Overview and Future Directions.

M. Emre Celebi, Noel Codella, Allan Halpern

IEEE J. Biomed. Health Informatics, 2019

A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning.

Yunhui Guo, Noel C. F. Codella, Leonid Karlinsky, John R. Smith, Tajana Rosing, Rogério Schmidt Feris

CoRR, 2019

Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets.

Newton M. Kinyanjui, Timothy Odonga, Celia Cintas, Noel C. F. Codella, Rameswar Panda, Prasanna Sattigeri, Kush R. Varshney

CoRR, 2019

P2L: Predicting Transfer Learning for Images and Semantic Relations.

Bishwaranjan Bhattacharjee, Noel Codella, John R. Kender, Siyu Huo, Patrick Watson, Michael R. Glass, Parijat Dube, Matthew Hill, Brian M. Belgodere

CoRR, 2019

BCN20000: Dermoscopic Lesions in the Wild.

Marc Combalia, Noel C. F. Codella, Veronica Rotemberg, Brian Helba, Verónica Vilaplana, Ofer Reiter, Allan C. Halpern, Susana Puig, Josep Malvehy

CoRR, 2019

Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning.

Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic

CoRR, 2019

Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC).

Noel C. F. Codella, Veronica Rotemberg, Philipp Tschandl, M. Emre Celebi, Stephen W. Dusza, David A. Gutman, Brian Helba, Aadi Kalloo, Konstantinos Liopyris, Michael A. Marchetti, Harald Kittler, Allan Halpern

CoRR, 2019

TED: Teaching AI to Explain its Decisions.

Michael Hind, Dennis Wei, Murray Campbell, Noel C. F. Codella, Amit Dhurandhar, Aleksandra Mojsilovic, Karthikeyan Natesan Ramamurthy, Kush R. Varshney

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018

Teaching Meaningful Explanations.

Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic

CoRR, 2018

Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images.

Noel C. F. Codella, Chung-Ching Lin, Allan Halpern, Michael Hind, Rogério Schmidt Feris, John R. Smith

Proceedings of the Understanding and Interpreting Machine Learning in Medical Image Computing Applications, 2018

Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC).

Noel C. F. Codella, David A. Gutman, M. Emre Celebi, Brian Helba, Michael A. Marchetti, Stephen W. Dusza, Aadi Kalloo, Konstantinos Liopyris, Nabin K. Mishra, Harald Kittler, Allan Halpern

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Segmentation of Both Diseased and Healthy Skin From Clinical Photographs in a Primary Care Setting.

Noel C. F. Codella, Daren Anderson, Tyler Philips, Anthony Porto, Kevin Massey, Jane Snowdon, Rogério Schmidt Feris, John R. Smith

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Leveraging multiple cues for recognizing family photos.

Xiaolong Wang, Guodong Guo, Michele Merler, Noel C. F. Codella, M. V. Rohith, John R. Smith, Chandra Kambhamettu

Image Vis. Comput., 2017

Deep learning ensembles for melanoma recognition in dermoscopy images.

Noel C. F. Codella, Quoc-Bao Nguyen, Sharath Pankanti, David A. Gutman, Brian Helba, Alan Halpern, John R. Smith

IBM J. Res. Dev., 2017

2016

Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC).

David A. Gutman, Noel C. F. Codella, M. Emre Celebi, Brian Helba, Michael A. Marchetti, Nabin K. Mishra, Allan Halpern

CoRR, 2016

Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks.

Pouya Bashivan, Irina Rish, Mohammed Yeasin, Noel Codella

Proceedings of the 4th International Conference on Learning Representations, 2016

Lymphoma diagnosis in histopathology using a multi-stage visual learning approach.

Noel C. F. Codella, Mehdi Moradi, Matt Matasar, Tanveer F. Syeda-Mahmood, John R. Smith

Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016

Multi-scale classification based lesion segmentation for dermoscopic images.

Mani Abedini, Noel C. F. Codella, Rajib Chakravorty, Rahil Garnavi, David A. Gutman, Brian Helba, John R. Smith

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

Massive-scale learning of image and video semantic concepts.

John R. Smith, Liangliang Cao, Noel C. F. Codella, Matthew L. Hill, Michele Merler, Quoc-Bao Nguyen, E. Pring, Rosario A. Uceda-Sosa

IBM J. Res. Dev., 2015

A generalized framework for medical image classification and recognition.

Mani Abedini, Noel C. F. Codella, Jonathan H. Connell, Rahil Garnavi, Michele Merler, Sharath Pankanti, John R. Smith, Tanveer F. Syeda-Mahmood

IBM J. Res. Dev., 2015

Deep Learning, Sparse Coding, and SVM for Melanoma Recognition in Dermoscopy Images.

Noel Codella, Junjie Cai, Mani Abedini, Rahil Garnavi, Alan Halpern, John R. Smith

Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Viewpoint Recognition in Cardiac CT Images.

Mehdi Moradi, Noel C. F. Codella, Tanveer F. Syeda-Mahmood

Proceedings of the Functional Imaging and Modeling of the Heart, 2015

2014

Modeling Attributes from Category-Attribute Proportions.

Felix X. Yu, Liangliang Cao, Michele Merler, Noel C. F. Codella, Tao Chen, John R. Smith, Shih-Fu Chang

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Automated Medical Image Modality Recognition by Fusion of Visual and Text Information.

Noel C. F. Codella, Jonathan H. Connell, Sharath Pankanti, Michele Merler, John R. Smith

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013

IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic Indexing (SIN) Systems.

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

Proceedings of the 2013 TREC Video Retrieval Evaluation, 2013

Learning by focusing: A new framework for concept recognition and feature selection.

Liangliang Cao, Leiguang Gong, John R. Kender, Noel C. F. Codella, John R. Smith

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

Large-scale video event classification using dynamic temporal pyramid matching of visual semantics.

Noel C. F. Codella, Gang Hua, Liangliang Cao, Michele Merler, Leiguang Gong, Matthew L. Hill, John R. Smith

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

IBM Research and Columbia University TRECVID-2012 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), and Semantic Indexing (SIN) Systems.

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

Proceedings of the 2012 TREC Video Retrieval Evaluation, 2012

Video Event Detection Using Temporal Pyramids of Visual Semantics with Kernel Optimization and Model Subspace Boosting.

Noel C. F. Codella, Apostol Natsev, Gang Hua, Matthew L. Hill, Liangliang Cao, Leiguang Gong, John R. Smith

Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012

Cardiac anatomy as a biometric.

Noel C. F. Codella, Jonathan Connell, Nalini K. Ratha, Jonathan W. Weinsaft

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

IBM T.J. Watson Research Center, Multimedia Analytics: Modality Classification and Case-Based Retrieval Tasks of ImageCLEF2012.

Liangliang Cao, Yuan-Chi Chang, Noel C. F. Codella, Michele Merler, Quoc-Bao Nguyen, John R. Smith

Proceedings of the CLEF 2012 Evaluation Labs and Workshop, 2012

2011

IBM Research and Columbia University TRECVID-2011 Multimedia Event Detection (MED) System.

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

Proceedings of the 2011 TREC Video Retrieval Evaluation, 2011

Towards large scale land-cover recognition of satellite images.

Noel C. F. Codella, Gang Hua, Apostol Natsev, John R. Smith

Proceedings of the 8th International Conference on Information, 2011

2010

Automatic Left Ventricle Segmentation Using Iterative Thresholding and an Active Contour Model With Adaptation on Short-Axis Cardiac MRI.

Hae-Yeoun Lee, Noel C. F. Codella, Matthew D. Cham, Jonathan W. Weinsaft, Yi Wang

IEEE Trans. Biomed. Eng., 2010