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2020 – today
- 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 - [i34]Abdul Wahab Ziaullah, Ferda Ofli, Muhammad Imran:
Monitoring Critical Infrastructure Facilities During Disasters Using Large Language Models. CoRR abs/2404.14432 (2024) - 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 - [c40]Dim P. Papadopoulos, Enrique Mora, Nadiia Chepurko, Kuan Wei Huang, Ferda Ofli, Antonio Torralba:
Learning Program Representations for Food Images and Cooking Recipes. CVPR 2022: 16538-16548 - [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) - [i31]Dim P. Papadopoulos, Enrique Mora, Nadiia Chepurko, Kuan Wei Huang, Ferda Ofli, Antonio Torralba:
Learning Program Representations for Food Images and Cooking Recipes. CoRR abs/2203.16071 (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) - [j15]Javier Marín, Aritro Biswas, Ferda Ofli, Nicholas Hynes, Amaia Salvador, Yusuf Aytar, Ingmar Weber, Antonio Torralba:
Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 187-203 (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 - [c32]Masoomali Fatehkia, Benjamin Coles, Ferda Ofli, Ingmar Weber:
The Relative Value of Facebook Advertising Data for Poverty Mapping. ICWSM 2020: 934-938 - [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)
2010 – 2019
- 2019
- [c29]Dim P. Papadopoulos, Youssef Tamaazousti, Ferda Ofli, Ingmar Weber, Antonio Torralba:
How to Make a Pizza: Learning a Compositional Layer-Based GAN Model. CVPR 2019: 8002-8011 - [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 - [i14]Dim P. Papadopoulos, Youssef Tamaazousti, Ferda Ofli, Ingmar Weber, Antonio Torralba:
How to make a pizza: Learning a compositional layer-based GAN model. CoRR abs/1906.02839 (2019) - 2018
- [j10]Mohamed Ilyes Lakhal, Hakan Çevikalp, Sergio Escalera, Ferda Ofli:
Recurrent neural networks for remote sensing image classification. IET Comput. Vis. 12(7): 1040-1045 (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 - [c24]Enes Kocabey, Ferda Ofli, Javier Marín, Antonio Torralba, Ingmar Weber:
Using Computer Vision to Study the Effects of BMI on Online Popularity and Weight-Based Homophily. SocInfo (2) 2018: 129-138 - [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) - [i11]Javier Marín, Aritro Biswas, Ferda Ofli, Nicholas Hynes, Amaia Salvador, Yusuf Aytar, Ingmar Weber, Antonio Torralba:
Recipe1M: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. CoRR abs/1810.06553 (2018) - 2017
- [j8]Luis Fernández-Luque, Meghna Singh, Ferda Ofli, Yelena Mejova, Ingmar Weber, Michaël Aupetit, Sahar Karim Jreige, Ahmed K. Elmagarmid, Jaideep Srivastava, Mohamed Ahmedna:
Implementing 360° Quantified Self for childhood obesity: feasibility study and experiences from a weight loss camp in Qatar. BMC Medical Informatics Decis. Mak. 17(1): 37:1-37:13 (2017) - [j7]Luis Fernández-Luque, Meghna Singh, Ferda Ofli, Yelena Mejova, Ingmar Weber, Michaël Aupetit, Sahar Karim Jreige, Ahmed K. Elmagarmid, Jaideep Srivastava, Mohamed Ahmedna:
Erratum to: Implementing 360° Quantified Self for childhood obesity: feasibility study and experiences from a weight loss camp in Qatar. BMC Medical Informatics Decis. Mak. 17(1): 62:1-62:2 (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 - [c21]Amaia Salvador, Nicholas Hynes, Yusuf Aytar, Javier Marín, Ferda Ofli, Ingmar Weber, Antonio Torralba:
Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. CVPR 2017: 3068-3076 - [c20]Nazia Attari, Ferda Ofli, Mohammad Awad, Ji Lucas, Sanjay Chawla:
Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage Assessment. DSAA 2017: 50-59 - [c19]Enes Kocabey, Mustafa Camurcu, Ferda Ofli, Yusuf Aytar, Javier Marín, Antonio Torralba, Ingmar Weber:
Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media. ICWSM 2017: 572-575 - [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 - [c17]Ferda Ofli, Yusuf Aytar, Ingmar Weber, Raggi al Hammouri, Antonio Torralba:
Is Saki #delicious?: The Food Perception Gap on Instagram and Its Relation to Health. WWW 2017: 509-518 - [i10]Ferda Ofli, Yusuf Aytar, Ingmar Weber, Raggi al Hammouri, Antonio Torralba:
Is Saki #delicious? The Food Perception Gap on Instagram and Its Relation to Health. CoRR abs/1702.06318 (2017) - [i9]Enes Kocabey, Mustafa Camurcu, Ferda Ofli, Yusuf Aytar, Javier Marín, Antonio Torralba, Ingmar Weber:
Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media. CoRR abs/1703.03156 (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) - [j5]Ferda Ofli, Gregorij Kurillo, Stepán Obdrzálek, Ruzena Bajcsy, Holly Brügge Jimison, Misha Pavel:
Design and Evaluation of an Interactive Exercise Coaching System for Older Adults: Lessons Learned. IEEE J. Biomed. Health Informatics 20(1): 201-212 (2016) - [c16]Aarti Sathyanarayana, Ferda Ofli, Luis Fernández-Luque, Jaideep Srivastava, Ahmed K. Elmagarmid, Teresa Arora, Shahrad Taheri:
Robust Automated Human Activity Recognition and Its Application to Sleep Research. ICDM Workshops 2016: 495-502 - [i7]Aarti Sathyanarayana, Ferda Ofli, Luis Fernández-Luque, Jaideep Srivastava, Ahmed K. Elmagarmid, Teresa Arora, Shahrad Taheri:
Robust Automated Human Activity Recognition and its Application to Sleep Research. CoRR abs/1607.04867 (2016) - [i6]Aarti Sathyanarayana, Shafiq R. Joty, Luis Fernández-Luque, Ferda Ofli, Jaideep Srivastava, Ahmed K. Elmagarmid, Shahrad Taheri, Teresa Arora:
Impact of Physical Activity on Sleep: A Deep Learning Based Exploration. CoRR abs/1607.07034 (2016) - [i5]Nazia Attari, Ferda Ofli, Mohammad Awad, Ji Lucas, Sanjay Chawla:
Nazr-CNN: Object Detection and Fine-Grained Classification in Crowdsourced UAV Images. CoRR abs/1611.06474 (2016) - 2015
- [c15]Qifei Wang, Gregorij Kurillo, Ferda Ofli, Ruzena Bajcsy:
Unsupervised Temporal Segmentation of Repetitive Human Actions Based on Kinematic Modeling and Frequency Analysis. 3DV 2015: 562-570 - [c14]Gregorij Kurillo, Ferda Ofli, Jennifer Marcoe, Paul N. Gorman, Holly B. Jimison, Misha Pavel, Ruzena Bajcsy:
Multi-disciplinary Design and In-Home Evaluation of Kinect-Based Exercise Coaching System for Elderly. HCI (26) 2015: 101-113 - [c13]Qifei Wang, Gregorij Kurillo, Ferda Ofli, Ruzena Bajcsy:
Evaluation of Pose Tracking Accuracy in the First and Second Generations of Microsoft Kinect. ICHI 2015: 380-389 - [c12]Hamed Haddadi, Ferda Ofli, Yelena Mejova, Ingmar Weber, Jaideep Srivastava:
360-degree Quantified Self. ICHI 2015: 587-592 - [i4]Hamed Haddadi, Ferda Ofli, Yelena Mejova, Ingmar Weber, Jaideep Srivastava:
360 Quantified Self. CoRR abs/1508.00375 (2015) - [i3]Qifei Wang, Gregorij Kurillo, Ferda Ofli, Ruzena Bajcsy:
Unsupervised Temporal Segmentation of Repetitive Human Actions Based on Kinematic Modeling and Frequency Analysis. CoRR abs/1512.04115 (2015) - [i2]Qifei Wang, Gregorij Kurillo, Ferda Ofli, Ruzena Bajcsy:
Evaluation of Pose Tracking Accuracy in the First and Second Generations of Microsoft Kinect. CoRR abs/1512.04134 (2015) - [i1]Qifei Wang, Gregorij Kurillo, Ferda Ofli, Ruzena Bajcsy:
Remote Health Coaching System and Human Motion Data Analysis for Physical Therapy with Microsoft Kinect. CoRR abs/1512.06492 (2015) - 2014
- [j4]Ferda Ofli, Rizwan Chaudhry, Gregorij Kurillo, René Vidal, Ruzena Bajcsy:
Sequence of the most informative joints (SMIJ): A new representation for human skeletal action recognition. J. Vis. Commun. Image Represent. 25(1): 24-38 (2014) - 2013
- [c11]Rizwan Chaudhry, Ferda Ofli, Gregorij Kurillo, Ruzena Bajcsy, René Vidal:
Bio-inspired Dynamic 3D Discriminative Skeletal Features for Human Action Recognition. CVPR Workshops 2013: 471-478 - [c10]Ferda Ofli, Rizwan Chaudhry, Gregorij Kurillo, René Vidal, Ruzena Bajcsy:
Berkeley MHAD: A comprehensive Multimodal Human Action Database. WACV 2013: 53-60 - 2012
- [j3]Ferda Ofli, Engin Erzin, Yücel Yemez, A. Murat Tekalp:
Learn2Dance: Learning Statistical Music-to-Dance Mappings for Choreography Synthesis. IEEE Trans. Multim. 14(3-2): 747-759 (2012) - [j2]Ferda Ofli, Engin Erzin, Yücel Yemez, A. Murat Tekalp:
Correction to "Learn2Dance: Learning Statistical Music-to-Dance Mappings for Choreography Synthesis". IEEE Trans. Multim. 14(4): 1376 (2012) - [c9]Ferda Ofli, Rizwan Chaudhry, Gregorij Kurillo, René Vidal, Ruzena Bajcsy:
Sequence of the Most Informative Joints (SMIJ): A new representation for human skeletal action recognition. CVPR Workshops 2012: 8-13 - [c8]Stepán Obdrzálek, Gregorij Kurillo, Ferda Ofli, Ruzena Bajcsy, Edmund Y. W. Seto, Holly B. Jimison, Michael Pavel:
Accuracy and robustness of Kinect pose estimation in the context of coaching of elderly population. EMBC 2012: 1188-1193 - 2010
- [b1]Ferda Ofli:
Audiovisual analysis for learning and synthesis of dance performances (Dans performanlarının öğrenme ve sentez amaçlı işitsel-görsel analizi). Koç University, Turkey, 2010 - [c7]Ferda Ofli, Engin Erzin, Yucel Yemez, A. Murat Tekalp:
Multi-modal analysis of dance performances for music-driven choreography synthesis. ICASSP 2010: 2466-2469
2000 – 2009
- 2008
- [j1]Ferda Ofli, Yasemin Demir, Yücel Yemez, Engin Erzin, A. Murat Tekalp, Koray Balci, Idil Kizoglu, Lale Akarun, Cristian Canton-Ferrer, Joëlle Tilmanne, Elif Bozkurt, A. Tanju Erdem:
An audio-driven dancing avatar. J. Multimodal User Interfaces 2(2): 93-103 (2008) - [c6]Ferda Ofli, Cristian Canton-Ferrer, Joëlle Tilmanne, Yasemin Demir, Elif Bozkurt, Yucel Yemez, Engin Erzin, A. Murat Tekalp:
Audio-driven human body motion analysis and synthesis. ICASSP 2008: 2233-2236 - [c5]Ferda Ofli, Engin Erzin, Yücel Yemez, A. Murat Tekalp, Çigdem Eroglu Erdem, A. Tanju Erdem, Tolga Abaci, Mehmet K. Özkan:
Unsupervised dance figure analysis from video for dancing Avatar animation. ICIP 2008: 1484-1487 - 2007
- [c4]Ferda Ofli, Yasemin Demir, Engin Erzin, Yücel Yemez, A. Murat Tekalp:
Multicamera audio-visual analysis of dance figures using segmented body model. EUSIPCO 2007: 2115-2119 - [c3]Ferda Ofli, Engin Erzin, Yucel Yemez, A. Murat Tekalp:
Estimation and Analysis of Facial Animation Parameter Patterns. ICIP (4) 2007: 293-296 - [c2]Ferda Ofli, Yasemin Demir, Engin Erzin, Yücel Yemez, A. Murat Tekalp:
Multicamera Audio-Visual Analysis of Dance Figures. ICME 2007: 1703-1706 - 2006
- [c1]Mehmet Emre Sargin, Oya Aran, Alexey Karpov, Ferda Ofli, Yelena Yasinnik, Stephen Wilson, Engin Erzin, Yücel Yemez, A. Murat Tekalp:
Combined Gesture-Speech Analysis and Speech Driven Gesture Synthesis. ICME 2006: 893-896
Coauthor Index
[j22] [c43] [i34] [j21] [j20] [j19] [j18] [c42] [j17] [c41] [c39] [c38] [i33] [i32] [i30] [i29] [i28] [j16] [c37] [c36] [c35] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [j14] [j13] [j12] [j11] [c34] [c33] [c31] [c30] [d1] [i20] [i19] [i18] [i17] [i16] [i15] [c28] [c27] [j9] [c26] [c25] [i13] [i12] [c23] [c22] [c18] [i8] [j6]
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