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Ferda Ofli
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Publications
- 2024
- [j22]Firoj Alam, Tanvirul Alam, Ferda Ofli, Muhammad Imran:
Robust Training of Social Media Image Classification Models. IEEE Trans. Comput. Soc. Syst. 11(1): 546-565 (2024) - [c43]Zainab Akhtar, Umair Qazi, Aya El-Sakka, Rizwan Sadiq, Ferda Ofli, Muhammad Imran:
Flood Insights: Integrating Remote and Social Sensing Data for Flood Exposure, Damage, and Urgent Needs Mapping. AAAI 2024: 22716-22724 - 2023
- [j21]Fevziye Irem Eyiokur, Alperen Kantarci, Mustafa Ekrem Erakin, Naser Damer, Ferda Ofli, Muhammad Imran, Janez Krizaj, Albert Ali Salah, Alexander Waibel, Vitomir Struc, Hazim Kemal Ekenel:
A survey on computer vision based human analysis in the COVID-19 era. Image Vis. Comput. 130: 104610 (2023) - [j20]Firoj Alam, Tanvirul Alam, Md. Arid Hasan, Abul Hasnat, Muhammad Imran, Ferda Ofli:
MEDIC: a multi-task learning dataset for disaster image classification. Neural Comput. Appl. 35(3): 2609-2632 (2023) - [j19]Ferda Ofli, Muhammad Imran, Umair Qazi, Julien Roch, Catherine Pennington, Vanessa J. Banks, Rémy Bossu:
Landslide detection in real-time social media image streams. Neural Comput. Appl. 35(24): 17809-17819 (2023) - [j18]Ethan Weber, Dim P. Papadopoulos, Àgata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba:
Incidents1M: A Large-Scale Dataset of Images With Natural Disasters, Damage, and Incidents. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4768-4781 (2023) - [c42]Zainab Akhtar, Umair Qazi, Rizwan Sadiq, Aya El-Sakka, Muhammad Sajjad, Ferda Ofli, Muhammad Imran:
Mapping Flood Exposure, Damage, and Population Needs Using Remote and Social Sensing: A Case Study of 2022 Pakistan Floods. WWW 2023: 4120-4128 - 2022
- [j17]Muhammad Imran, Umair Qazi, Ferda Ofli:
TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels. Data 7(1): 8 (2022) - [c41]Muhammad Imran, Umair Qazi, Ferda Ofli, Steve Peterson, Firoj Alam:
AI for Disaster Rapid Damage Assessment from Microblogs. AAAI 2022: 12517-12523 - [c39]Ferda Ofli, Umair Qazi, Muhammad Imran, Julien Roch, Catherine Pennington, Vanessa J. Banks, Rémy Bossu:
A Real-Time System for Detecting Landslide Reports on Social Media Using Artificial Intelligence. ICWE 2022: 49-65 - [c38]Seymanur Akti, Ferda Ofli, Muhammad Imran, Hazim Kemal Ekenel:
Fight Detection from Still Images in the Wild. WACV (Workshops) 2022: 550-559 - [i33]Ethan Weber, Dim P. Papadopoulos, Àgata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba:
Incidents1M: a large-scale dataset of images with natural disasters, damage, and incidents. CoRR abs/2201.04236 (2022) - [i32]Ferda Ofli, Umair Qazi, Muhammad Imran, Julien Roch, Catherine Pennington, Vanessa J. Banks, Rémy Bossu:
A Real-time System for Detecting Landslide Reports on Social Media using Artificial Intelligence. CoRR abs/2202.07475 (2022) - [i30]Alperen Kantarci, Ferda Ofli, Muhammad Imran, Hazim Kemal Ekenel:
Bias-Aware Face Mask Detection Dataset. CoRR abs/2211.01207 (2022) - [i29]Fevziye Irem Eyiokur, Alperen Kantarci, Mustafa Ekrem Erakin, Naser Damer, Ferda Ofli, Muhammad Imran, Janez Krizaj, Albert Ali Salah, Alexander Waibel, Vitomir Struc, Hazim Kemal Ekenel:
A Survey on Computer Vision based Human Analysis in the COVID-19 Era. CoRR abs/2211.03705 (2022) - [i28]Nando Metzger, John E. Vargas-Muñoz, Rodrigo Caye Daudt, Benjamin Kellenberger, Thao Ton-That Whelan, Ferda Ofli, Muhammad Imran, Konrad Schindler, Devis Tuia:
Fine-grained Population Mapping from Coarse Census Counts and Open Geodata. CoRR abs/2211.04039 (2022) - 2021
- [j16]Ingmar Weber, Muhammad Imran, Ferda Ofli, Fouad Mrad, Jennifer Colville, Mehdi Fathallah, Alissar Chaker, Wigdan Seed Ahmed:
Non-traditional data sources: providing insights into sustainable development. Commun. ACM 64(4): 88-95 (2021) - [c37]Firoj Alam, Hassan Sajjad, Muhammad Imran, Ferda Ofli:
CrisisBench: Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing. ICWSM 2021: 923-932 - [c36]Firoj Alam, Umair Qazi, Muhammad Imran, Ferda Ofli:
HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks. ICWSM 2021: 933-942 - [c35]Zainab Akhtar, Ferda Ofli, Muhammad Imran:
Towards Using Remote Sensing and Social Media Data for Flood Mapping. ISCRAM 2021: 536-551 - [i27]Firoj Alam, Umair Qazi, Muhammad Imran, Ferda Ofli:
HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks. CoRR abs/2104.03090 (2021) - [i26]Firoj Alam, Tanvirul Alam, Ferda Ofli, Muhammad Imran:
Social Media Images Classification Models for Real-time Disaster Response. CoRR abs/2104.04184 (2021) - [i25]Benjamin Kellenberger, John E. Vargas-Muñoz, Devis Tuia, Rodrigo Caye Daudt, Konrad Schindler, Thao T.-T. Whelan, Brenda Ayo, Ferda Ofli, Muhammad Imran:
Mapping Vulnerable Populations with AI. CoRR abs/2107.14123 (2021) - [i24]Firoj Alam, Tanvirul Alam, Md. Arid Hasan, Abul Hasnat, Muhammad Imran, Ferda Ofli:
MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification. CoRR abs/2108.12828 (2021) - [i23]Muhammad Imran, Umair Qazi, Ferda Ofli:
TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels. CoRR abs/2110.03664 (2021) - [i22]Ferda Ofli, Muhammad Imran, Umair Qazi, Julien Roch, Catherine Pennington, Vanessa J. Banks, Rémy Bossu:
Landslide Detection in Real-Time Social Media Image Streams. CoRR abs/2110.04080 (2021) - [i21]Seymanur Akti, Ferda Ofli, Muhammad Imran, Hazim Kemal Ekenel:
Fight Detection from Still Images in the Wild. CoRR abs/2111.08370 (2021) - 2020
- [j14]Firoj Alam, Ferda Ofli, Muhammad Imran:
Descriptive and visual summaries of disaster events using artificial intelligence techniques: case studies of Hurricanes Harvey, Irma, and Maria. Behav. Inf. Technol. 39(3): 288-318 (2020) - [j13]Muhammad Imran, Ferda Ofli, Doina Caragea, Antonio Torralba:
Using AI and Social Media Multimodal Content for Disaster Response and Management: Opportunities, Challenges, and Future Directions. Inf. Process. Manag. 57(5): 102261 (2020) - [j12]Pakhee Kumar, Ferda Ofli, Muhammad Imran, Carlos Castillo:
Detection of Disaster-Affected Cultural Heritage Sites from Social Media Images Using Deep Learning Techniques. ACM Journal on Computing and Cultural Heritage 13(3): 23:1-23:31 (2020) - [j11]Umair Qazi, Muhammad Imran, Ferda Ofli:
GeoCoV19: a dataset of hundreds of millions of multilingual COVID-19 tweets with location information. ACM SIGSPATIAL Special 12(1): 6-15 (2020) - [c34]Firoj Alam, Ferda Ofli, Muhammad Imran, Tanvirul Alam, Umair Qazi:
Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response. ASONAM 2020: 151-158 - [c33]Ethan Weber, Nuria Marzo, Dim P. Papadopoulos, Aritro Biswas, Àgata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba:
Detecting Natural Disasters, Damage, and Incidents in the Wild. ECCV (19) 2020: 331-350 - [c31]Muhammad Imran, Firoj Alam, Umair Qazi, Steve Peterson, Ferda Ofli:
Rapid Damage Assessment Using Social Media Images by Combining Human and Machine Intelligence. ISCRAM 2020: 761-773 - [c30]Ferda Ofli, Firoj Alam, Muhammad Imran:
Analysis of Social Media Data using Multimodal Deep Learning for Disaster Response. ISCRAM 2020: 802-811 - [d1]Umair Qazi, Muhammad Imran, Ferda Ofli:
GeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information. IEEE DataPort, 2020 - [i20]Muhammad Imran, Firoj Alam, Umair Qazi, Steve Peterson, Ferda Ofli:
Rapid Damage Assessment Using Social Media Images by Combining Human and Machine Intelligence. CoRR abs/2004.06675 (2020) - [i19]Firoj Alam, Hassan Sajjad, Muhammad Imran, Ferda Ofli:
Standardizing and Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing. CoRR abs/2004.06774 (2020) - [i18]Ferda Ofli, Firoj Alam, Muhammad Imran:
Analysis of Social Media Data using Multimodal Deep Learning for Disaster Response. CoRR abs/2004.11838 (2020) - [i17]Umair Qazi, Muhammad Imran, Ferda Ofli:
GeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information. CoRR abs/2005.11177 (2020) - [i16]Ethan Weber, Nuria Marzo, Dim P. Papadopoulos, Aritro Biswas, Àgata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba:
Detecting natural disasters, damage, and incidents in the wild. CoRR abs/2008.09188 (2020) - [i15]Firoj Alam, Ferda Ofli, Muhammad Imran, Tanvirul Alam, Umair Qazi:
Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response. CoRR abs/2011.08916 (2020) - 2019
- [c28]Firoj Alam, Ferda Ofli, Muhammad Imran:
CrisisDPS: Crisis Data Processing Services. ISCRAM 2019 - [c27]Xukun Li, Doina Caragea, Cornelia Caragea, Muhammad Imran, Ferda Ofli:
Identifying Disaster Damage Images Using a Domain Adaptation Approach. ISCRAM 2019 - 2018
- [j9]Firoj Alam, Ferda Ofli, Muhammad Imran:
Processing Social Media Images by Combining Human and Machine Computing during Crises. Int. J. Hum. Comput. Interact. 34(4): 311-327 (2018) - [c26]Firoj Alam, Ferda Ofli, Muhammad Imran:
CrisisMMD: Multimodal Twitter Datasets from Natural Disasters. ICWSM 2018: 465-473 - [c25]Firoj Alam, Ferda Ofli, Muhammad Imran, Michaël Aupetit:
A Twitter Tale of Three Hurricanes: Harvey, Irma, and Maria. ISCRAM 2018 - [i13]Firoj Alam, Ferda Ofli, Muhammad Imran:
CrisisMMD: Multimodal Twitter Datasets from Natural Disasters. CoRR abs/1805.00713 (2018) - [i12]Firoj Alam, Ferda Ofli, Muhammad Imran, Michaël Aupetit:
A Twitter Tale of Three Hurricanes: Harvey, Irma, and Maria. CoRR abs/1805.05144 (2018) - 2017
- [c23]Dat Tien Nguyen, Ferda Ofli, Muhammad Imran, Prasenjit Mitra:
Damage Assessment from Social Media Imagery Data During Disasters. ASONAM 2017: 569-576 - [c22]Firoj Alam, Muhammad Imran, Ferda Ofli:
Image4Act: Online Social Media Image Processing for Disaster Response. ASONAM 2017: 601-604 - [c18]Dat Tien Nguyen, Firoj Alam, Ferda Ofli, Muhammad Imran:
Automatic Image Filtering on Social Networks Using Deep Learning and Perceptual Hashing During Crises. ISCRAM 2017 - [i8]Dat Tien Nguyen, Firoj Alam, Ferda Ofli, Muhammad Imran:
Automatic Image Filtering on Social Networks Using Deep Learning and Perceptual Hashing During Crises. CoRR abs/1704.02602 (2017) - 2016
- [j6]Ferda Ofli, Patrick Meier, Muhammad Imran, Carlos Castillo, Devis Tuia, Rey Nicolas, Julien Briant, Pauline M. Rudd, Friedrich Reinhard, Matthew Parkan, Stéphane Joost:
Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response. Big Data 4(1): 47-59 (2016)
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last updated on 2024-04-25 01:53 CEST by the dblp team
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