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ORCIDMartha A. Larson
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- affiliation: Radboud University Nijmegen, The Netherlands
- affiliation (former): Delft University of Technology, The Netherlands
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2020 – today
- 2024
[c198]Mingliang Liang, Zhouran Liu, Martha A. Larson:
Mutant Texts: A Technique for Uncovering Unexpected Inconsistencies in Large-Scale Vision-Language Models. MMM (4) 2024: 219-233- [c197]Mingliang Liang, Martha A. Larson:
Centered Masking for Language-Image Pre-training. ECML/PKDD (8) 2024: 90-106 - [e27]Steven Hicks, Andreas Lommatzsch, Ali Hürriyetoglu, Romain Vuillemot, Mihai Gabriel Constantin, Vajira Thambawita, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2023 Workshop, Amsterdam, The Netherlands and Online, 1-2 February 2024. CEUR Workshop Proceedings 3658, CEUR-WS.org 2024 [contents] - [i33]Mingliang Liang, Martha A. Larson:
Centered Masking for Language-Image Pre-Training. CoRR abs/2403.15837 (2024) - 2023
- [j36]Zhengyu Zhao
, Zhuoran Liu, Martha A. Larson:
Adversarial Image Color Transformations in Explicit Color Filter Space. IEEE Trans. Inf. Forensics Secur. 18: 3185-3197 (2023) - [c196]Javier Martinez Rodriguez, Martha A. Larson, Louis ten Bosch:
Exploring the Importance of Sign Language Phonology for a Deep Neural Network. ESANN 2023 - [c195]Loes van Bemmel, Zhuoran Liu, Nik Vaessen, Martha A. Larson:
Beyond Neural-on-Neural Approaches to Speaker Gender Protection. ICASSP 2023: 1-5 - [c194]Natalie Hollain, Martha A. Larson, Floris Roelofsen:
Distractor-Based Evaluation of Sign Spotting. ICASSP Workshops 2023: 1-5 - [c193]Zhuoran Liu, Zhengyu Zhao, Martha A. Larson:
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression. ICML 2023: 22473-22487 - [c192]Manel Slokom, Peter-Paul de Wolf, Martha A. Larson:
Exploring Privacy-Preserving Techniques on Synthetic Data as a Defense Against Model Inversion Attacks. ISC 2023: 3-23 - [c191]Mingliang Liang, Martha A. Larson:
Subsampling of Frequent Words in Text for Pre-training a Vision-Language Model. LGM3A@MM 2023: 61-67 - [c190]Xiaomeng Wang, Mingliang Liang, Martha A. Larson:
Investigating the Performance of the CLIP Model and Concept Matching in Text-Image Retrieval Systems. MediaEval 2023 - [c189]Mingliang Liang, Zhuoran Liu, Martha A. Larson:
Textual Concept Expansion with Commonsense Knowledge to Improve Dual-Stream Image-Text Matching. MMM (1) 2023: 421-433 - [c188]Zhengyu Zhao, Nga Dang, Martha A. Larson:
The Importance of Image Interpretation: Patterns of Semantic Misclassification in Real-World Adversarial Images. MMM (2) 2023: 718-725 - [e26]Steven Hicks, Alba García Seco de Herrera, Johannes Langguth, Andreas Lommatzsch, Stelios Andreadis, Minh-Son Dao, Pierre-Etienne Martin, Ali Hürriyetoglu, Vajira Thambawita, Tor-Arne S. Nordmo, Romain Vuillemot, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2022 Workshop, Bergen, Norway and Online, 12-13 January 2023. CEUR Workshop Proceedings 3583, CEUR-WS.org 2023 [contents] - [e25]Duc-Tien Dang-Nguyen, Cathal Gurrin, Martha A. Larson, Alan F. Smeaton, Stevan Rudinac, Minh-Son Dao, Christoph Trattner, Phoebe Chen:
MultiMedia Modeling - 29th International Conference, MMM 2023, Bergen, Norway, January 9-12, 2023, Proceedings, Part I. Lecture Notes in Computer Science 13833, Springer 2023, ISBN 978-3-031-27076-5 [contents] - [e24]Duc-Tien Dang-Nguyen, Cathal Gurrin, Martha A. Larson, Alan F. Smeaton, Stevan Rudinac, Minh-Son Dao, Christoph Trattner, Phoebe Chen:
MultiMedia Modeling - 29th International Conference, MMM 2023, Bergen, Norway, January 9-12, 2023, Proceedings, Part II. Lecture Notes in Computer Science 13834, Springer 2023, ISBN 978-3-031-27817-4 [contents] - [i32]Zhuoran Liu, Zhengyu Zhao, Martha A. Larson:
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression. CoRR abs/2301.13838 (2023) - [i31]Loes van Bemmel, Zhuoran Liu, Nik Vaessen, Martha A. Larson:
Beyond Neural-on-Neural Approaches to Speaker Gender Protection. CoRR abs/2306.17700 (2023) - [i30]Manel Slokom, Peter-Paul de Wolf, Martha A. Larson:
When Machine Learning Models Leak: An Exploration of Synthetic Training Data. CoRR abs/2310.08775 (2023) - [i29]Bart Pleiter, Behrad Tajalli, Stefanos Koffas, Gorka Abad, Jing Xu, Martha A. Larson, Stjepan Picek:
Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks for Tabular Data. CoRR abs/2311.07550 (2023) - 2022
- [c187]Anna Pillar, Kyrill Poelmans, Martha A. Larson:
Regex in a Time of Deep Learning: The Role of an Old Technology in Age Discrimination Detection in Job Advertisements. LT-EDI 2022: 13-18 - [c186]Jetske Adams, Kyrill Poelmans, Iris Hendrickx, Martha A. Larson:
Doing not Being: Concrete Language as a Bridge from Language Technology to Ethnically Inclusive Job Ads. LT-EDI 2022: 19-25 - [c185]Jane Arleth Dela Cruz, Iris Hendrickx, Martha A. Larson:
Understanding Fine-tuned BERT Models for Flood Location Extraction on Twitter Data. MediaEval 2022 - [c184]Mingliang Liang, Martha A. Larson:
Textual Concept Expansion for Text-Image Matching within Online News Content. MediaEval 2022 - [c183]Yana van de Sande, Martha A. Larson:
Color the Word: Leveraging Web Images for Machine Translation of Untranslatable Words. MMM (1) 2022: 131-138 - [c182]Andreas Lommatzsch, Benjamin Kille, Özlem Özgöbek, Yuxiao Zhou, Jelena Tesic, Cláudio Bartolomeu, David Semedo, Lidia Pivovarova, Mingliang Liang, Martha A. Larson:
NewsImages: addressing the depiction gap with an online news dataset for text-image rematching. MMSys 2022: 227-233 - [c181]Manel Slokom, Peter-Paul de Wolf, Martha A. Larson:
When Machine Learning Models Leak: An Exploration of Synthetic Training Data. PSD 2022: 283-296 - [p4]Giuseppe Garofalo, Manel Slokom, Davy Preuveneers, Wouter Joosen, Martha A. Larson:
Machine Learning Meets Data Modification - The Potential of Pre-processing for Privacy Enchancement. Security and Artificial Intelligence 2022: 130-155 - [e23]Steven Hicks, Konstantin Pogorelov, Andreas Lommatzsch, Alba García Seco de Herrera, Pierre-Etienne Martin, Syed Zohaib Hassan, Alastair Porter, Asem Kasem, Stelios Andreadis, Mathias Lux, Marc Gallofré Ocaña, Alex Liu, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2021 Workshop, Online, 13-15 December 2021. CEUR Workshop Proceedings 3181, CEUR-WS.org 2022 [contents] - [i28]Anna Pillar, Kyrill Poelmans, Martha A. Larson:
Regex in a Time of Deep Learning: The Role of an Old Technology in Age Discrimination Detection in Job Advertisements. CoRR abs/2205.08813 (2022) - [i27]Zhengyu Zhao, Nga Dang, Martha A. Larson:
Evaluating Transfer-based Targeted Adversarial Perturbations against Real-World Computer Vision Systems based on Human Judgments. CoRR abs/2206.01467 (2022) - [i26]Manel Slokom, Özlem Özgöbek, Martha A. Larson:
Gender In Gender Out: A Closer Look at User Attributes in Context-Aware Recommendation. CoRR abs/2207.14218 (2022) - [i25]Danny Stax, Manel Slokom, Martha A. Larson:
Minimizing Mindless Mentions: Recommendation with Minimal Necessary User Reviews. CoRR abs/2208.03242 (2022) - [i24]Dirren van Vlijmen, Alex Kolmus, Zhuoran Liu, Zhengyu Zhao, Martha A. Larson:
Generative Poisoning Using Random Discriminators. CoRR abs/2211.01086 (2022) - 2021
- [j35]Manel Slokom, Alan Hanjalic, Martha A. Larson:
Towards user-oriented privacy for recommender system data: A personalization-based approach to gender obfuscation for user profiles. Inf. Process. Manag. 58(6): 102722 (2021) - [c180]Mingliang Liang, Martha A. Larson:
Exploring a Pre-trained Model for Re-Matching News Texts and Images. MediaEval 2021 - [c179]Hayley Hung, Cathal Gurrin, Martha A. Larson, Hatice Gunes, Fabien Ringeval, Elisabeth André, Louis-Philippe Morency:
Social Signals and Multimedia: Past, Present, Future. ACM Multimedia 2021: 4610-4612 - [c178]Zhuoran Liu, Niels Samwel, Leo Weissbart, Zhengyu Zhao, Dirk Lauret, Lejla Batina, Martha A. Larson:
Screen Gleaning: A Screen Reading TEMPEST Attack on Mobile Devices Exploiting an Electromagnetic Side Channel. NDSS 2021 - [c177]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
On Success and Simplicity: A Second Look at Transferable Targeted Attacks. NeurIPS 2021: 6115-6128 - [c176]Zhuoran Liu, Zhengyu Zhao, Martha A. Larson:
Pivoting Image-based Profiles Toward Privacy: Inhibiting Malicious Profiling with Adversarial Additions. UMAP 2021: 267-273 - [c175]Martha A. Larson, Nelleke Oostdijk, Frederik J. Zuiderveen Borgesius:
Not Directly Stated, Not Explicitly Stored: : Conversational Agents and the Privacy Threat of Implicit Information. UMAP (Adjunct Publication) 2021: 388-391 - [c174]Zhuoran Liu, Martha A. Larson:
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start. WWW 2021: 3590-3602 - [e22]Steven Hicks, Debesh Jha, Konstantin Pogorelov, Alba García Seco de Herrera, Dmitry Bogdanov, Pierre-Etienne Martin, Stelios Andreadis, Minh-Son Dao, Zhuoran Liu, José Vargas Quiros, Benjamin Kille, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2020 Workshop, Online, 14-15 December 2020. CEUR Workshop Proceedings 2882, CEUR-WS.org 2021 [contents] - [e21]Humberto Jesús Corona Pampín, Martha A. Larson, Martijn C. Willemsen, Joseph A. Konstan, Julian J. McAuley, Jean Garcia-Gathright, Bouke Huurnink, Even Oldridge:
RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021 - 1 October 2021. ACM 2021, ISBN 978-1-4503-8458-2 [contents] - [i23]Manel Slokom, Martha A. Larson:
Doing Data Right: How Lessons Learned Working with Conventional Data should Inform the Future of Synthetic Data for Recommender Systems. CoRR abs/2110.03275 (2021) - [i22]Zhuoran Liu, Zhengyu Zhao, Alex Kolmus, Tijn Berns, Twan van Laarhoven, Tom Heskes, Martha A. Larson:
Going Grayscale: The Road to Understanding and Improving Unlearnable Examples. CoRR abs/2111.13244 (2021) - 2020
- [c173]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter. BMVC 2020 - [c172]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance. CVPR 2020: 1036-1045 - [c171]Klaus-Michael Lux, Maya Sappelli, Martha A. Larson:
Truth or Error? Towards systematic analysis of factual errors in abstractive summaries. Eval4NLP 2020: 1-10 - [c170]Nelleke Oostdijk, Hans van Halteren, Erkan Basar, Martha A. Larson:
The Connection between the Text and Images of News Articles: New Insights for Multimedia Analysis. LREC 2020: 4343-4351 - [c169]Zhuoran Liu, Zhengyu Zhao, Martha A. Larson, Laurent Amsaleg:
Pixel Privacy: Quality Camouflage for Social Images. MediaEval 2020 - [c168]Susanne Boll, Hari Sundaram, Svetha Venkatesh, Martha A. Larson, Mohan S. Kankanhalli:
The World has Changed - The World Needs to Change. What Multimedia has to Offer for Our Common Digital Future. ACM Multimedia 2020: 4796-4798 - [c167]Martha A. Larson:
Moderation Meets Recommendation: Perspectives on the Role of Policies in Harm-Aware Recommender Ecosystems - Abstract. OHARS@RecSys 2020: 3 - [e20]Martha A. Larson, Steven Alexander Hicks, Mihai Gabriel Constantin, Benjamin Bischke, Alastair Porter, Peijian Zhao, Mathias Lux, Laura Cabrera Quiros, Jordan Calandre, Gareth Jones:
Working Notes Proceedings of the MediaEval 2019 Workshop, Sophia Antipolis, France, 27-30 October 2019. CEUR Workshop Proceedings 2670, CEUR-WS.org 2020 [contents] - [i21]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
A Differentiable Color Filter for Generating Unrestricted Adversarial Images. CoRR abs/2002.01008 (2020) - [i20]Zhuoran Liu, Martha A. Larson:
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start. CoRR abs/2006.01888 (2020) - [i19]Manel Slokom, Martha A. Larson, Alan Hanjalic:
Partially Synthetic Data for Recommender Systems: Prediction Performance and Preference Hiding. CoRR abs/2008.03797 (2020) - [i18]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
Adversarial Robustness Against Image Color Transformation within Parametric Filter Space. CoRR abs/2011.06690 (2020) - [i17]Zhuoran Liu, Niels Samwel, Leo Weissbart, Zhengyu Zhao, Dirk Lauret, Lejla Batina, Martha A. Larson:
Screen Gleaning: A Screen Reading TEMPEST Attack on Mobile Devices Exploiting an Electromagnetic Side Channel. CoRR abs/2011.09877 (2020) - [i16]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
On Success and Simplicity: A Second Look at Transferable Targeted Attacks. CoRR abs/2012.11207 (2020)
2010 – 2019
- 2019
- [j34]Xavier Bost, Serigne Gueye, Vincent Labatut, Martha A. Larson, Georges Linarès, Damien Malinas, Raphaël Roth:
Remembering winter was coming - Character-oriented video summaries of TV series. Multim. Tools Appl. 78(24): 35373-35399 (2019) - [j33]Babak Loni, Roberto Pagano, Martha A. Larson, Alan Hanjalic:
Top-N Recommendation with Multi-Channel Positive Feedback using Factorization Machines. ACM Trans. Inf. Syst. 37(2): 15:1-15:23 (2019) - [c166]Jaeyoung Choi, Martha A. Larson, Gerald Friedland, Alan Hanjalic:
From Intra-Modal to Inter-Modal Space: Multi-task Learning of Shared Representations for Cross-Modal Retrieval. BigMM 2019: 1-10 - [c165]Benjamin Bischke, Patrick Helber, Simon Brugman, Erkan Basar, Zhengyu Zhao, Martha A. Larson, Konstantin Pogorelov:
The Multimedia Satellite Task at MediaEval 2019. MediaEval 2019 - [c164]Simon Brugman, Martha A. Larson:
Scene Change Task: Take me to Paris. MediaEval 2019 - [c163]Zhuoran Liu, Zhengyu Zhao, Martha A. Larson:
Pixel Privacy 2019: Protecting Sensitive Scene Information in Images. MediaEval 2019 - [c162]Sam Sweere, Zhuoran Liu, Martha A. Larson:
Maintaining Perceptual Faithfulness of Adversarial Image Examples by Leveraging Color Variance. MediaEval 2019 - [c161]Zhuoran Liu, Zhengyu Zhao, Martha A. Larson:
Who's Afraid of Adversarial Queries?: The Impact of Image Modifications on Content-based Image Retrieval. ICMR 2019: 306-314 - [c160]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson, Ahmet Iscen, Naoko Nitta:
Reproducible Experiments on Adaptive Discriminative Region Discovery for Scene Recognition. ACM Multimedia 2019: 1076-1079 - [c159]Odette Scharenborg, Nikki van der Gouw, Martha A. Larson, Elena Marchiori:
The Representation of Speech in Deep Neural Networks. MMM (2) 2019: 194-205 - [c158]Martha A. Larson, Manel Slokom:
Up Close, but not too Personal: Hypotargeting for Recommender Systems. ImpactRS@RecSys 2019 - [c157]Manel Slokom, Martha A. Larson, Alan Hanjalic:
Data Masking for Recommender Systems: Prediction Performance and Rating Hiding. RecSys (Late-Breaking Results) 2019: 21-25 - [c156]Christopher Strucks, Manel Slokom, Martha A. Larson:
BlurM(or)e: Revisiting Gender Obfuscation in the User-Item Matrix. RMSE@RecSys 2019 - [p3]Frank Hopfgartner, Krisztian Balog, Andreas Lommatzsch, Liadh Kelly, Benjamin Kille, Anne Schuth, Martha A. Larson:
Continuous Evaluation of Large-Scale Information Access Systems: A Case for Living Labs. Information Retrieval Evaluation in a Changing World 2019: 511-543 - [e19]Laurent Amsaleg, Benoit Huet, Martha A. Larson, Guillaume Gravier, Hayley Hung, Chong-Wah Ngo, Wei Tsang Ooi:
Proceedings of the 27th ACM International Conference on Multimedia, MM 2019, Nice, France, October 21-25, 2019. ACM 2019, ISBN 978-1-4503-6889-6 [contents] - [i15]Zhuoran Liu, Zhengyu Zhao, Martha A. Larson:
Who's Afraid of Adversarial Queries? The Impact of Image Modifications on Content-based Image Retrieval. CoRR abs/1901.10332 (2019) - [i14]Xavier Bost, Serigne Gueye, Vincent Labatut, Martha A. Larson, Georges Linarès, Damien Malinas, Raphaël Roth:
Remembering winter was coming. CoRR abs/1909.02423 (2019) - [i13]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance. CoRR abs/1911.02466 (2019) - 2018
- [j32]Xinchao Li, Martha A. Larson, Alan Hanjalic:
Geo-Distinctive Visual Element Matching for Location Estimation of Images. IEEE Trans. Multim. 20(5): 1179-1194 (2018) - [j31]Karthik Yadati, Martha A. Larson, Cynthia C. S. Liem, Alan Hanjalic:
Detecting Socially Significant Music Events Using Temporally Noisy Labels. IEEE Trans. Multim. 20(9): 2526-2540 (2018) - [c155]Özlem Özgöbek, Benjamin Kille, Jon Atle Gulla, Martha A. Larson, Andreas Lommatzsch:
6th International Workshop on News Recommendation and Analytics (INRA 2018). CIKM Workshops 2018 - [c154]Gabriela Ramírez-de-la-Rosa, Esaú Villatoro, Bogdan Ionescu, Hugo Jair Escalante, Sergio Escalera, Martha A. Larson, Henning Müller, Isabelle Guyon:
Overview of the Multimedia Information Processing for Personality & Social Networks Analysis Contest. CVAUI/IWCF/MIPPSNA@ICPR 2018: 127-139 - [c153]Odette Scharenborg, Martha A. Larson:
The Conversation Continues: the Effect of Lyrics and Music Complexity of Background Music on Spoken-Word Recognition. INTERSPEECH 2018: 2280-2284 - [c152]Simon Brugman, Maciej Wysokinski, Martha A. Larson:
Exploring Three Views on Image Enhancement for Pixel Privacy. MediaEval 2018 - [c151]Martha A. Larson, Zhuoran Liu, Simon Brugman, Zhengyu Zhao:
Pixel Privacy: Increasing Image Appeal while Blocking Automatic Inference of Sensitive Scene Information. MediaEval 2018 - [c150]Zhengyu Zhao, Martha A. Larson, Nelleke Oostdijk:
Exploiting Local Semantic Concepts for Flooding-related Social Image Classification. MediaEval 2018 - [c149]Zhengyu Zhao, Martha A. Larson:
From Volcano to Toyshop: Adaptive Discriminative Region Discovery for Scene Recognition. ACM Multimedia 2018: 1760-1768 - [e18]Martha A. Larson, Piyush Arora, Claire-Hélène Demarty, Michael Riegler, Benjamin Bischke, Emmanuel Dellandréa, Mathias Lux, Alastair Porter, Gareth J. F. Jones:
Working Notes Proceedings of the MediaEval 2018 Workshop, Sophia Antipolis, France, 29-31 October 2018. CEUR Workshop Proceedings 2283, CEUR-WS.org 2018 [contents] - [i12]Odette Scharenborg, Martha A. Larson:
Investigating the Effect of Music and Lyrics on Spoken-Word Recognition. CoRR abs/1803.05058 (2018) - [i11]Emilia Gómez, Carlos Castillo, Vicky Charisi, Verónica Dahl, Gustavo Deco, Blagoj Delipetrev, Nicole Dewandre, Miguel Ángel González Ballester, Fabien Gouyon, José Hernández-Orallo, Perfecto Herrera, Anders Jonsson, Ansgar Koene, Martha A. Larson, Ramón López de Mántaras, Bertin Martens, Marius Miron, Rubén Moreno-Bote, Nuria Oliver, Antonio Puertas Gallardo, Heike Schweitzer, Núria Sebastián, Xavier Serra, Joan Serrà, Songül Tolan, Karina Vold:
Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour. CoRR abs/1806.03192 (2018) - [i10]Zhengyu Zhao, Martha A. Larson:
From Volcano to Toyshop: Adaptive Discriminative Region Discovery for Scene Recognition. CoRR abs/1807.08624 (2018) - [i9]Babak Loni, Martha A. Larson, Alan Hanjalic:
Factorization Machines for Data with Implicit Feedback. CoRR abs/1812.08254 (2018) - 2017
- [j30]Martha A. Larson, Mohammad Soleymani, Guillaume Gravier, Bogdan Ionescu, Gareth J. F. Jones:
The Benchmarking Initiative for Multimedia Evaluation: MediaEval 2016. IEEE Multim. 24(1): 93-96 (2017) - [c148]Benjamin Kille, Andreas Lommatzsch, Frank Hopfgartner, Martha A. Larson, Torben Brodt:
CLEF 2017 NewsREEL Overview: Offline and Online Evaluation of Stream-based News Recommender Systems. CLEF (Working Notes) 2017 - [c147]Yu Liang, Babak Loni, Martha A. Larson:
CLEF NewsREEL 2017: Contextual Bandit News Recommendation. CLEF (Working Notes) 2017 - [c146]Andreas Lommatzsch, Benjamin Kille, Frank Hopfgartner, Martha A. Larson, Torben Brodt, Jonas Seiler, Özlem Özgöbek:
CLEF 2017 NewsREEL Overview: A Stream-Based Recommender Task for Evaluation and Education. CLEF 2017: 239-254 - [c145]Bo Wang, Martha A. Larson:
Exploiting Visual-based Intent Classification for Diverse Social Image Retrieval. MediaEval 2017 - [c144]Zhengyu Zhao, Martha A. Larson:
Retrieving Social Flooding Images Based on Multimodal Information. MediaEval 2017 - [c143]Jaeyoung Choi, Martha A. Larson, Xinchao Li, Kevin Li, Gerald Friedland, Alan Hanjalic:
The Geo-Privacy Bonus of Popular Photo Enhancements. ICMR 2017: 84-92 - [c142]Karthik Yadati, Cynthia C. S. Liem, Martha A. Larson, Alan Hanjalic:
On the Automatic Identification of Music for Common Activities. ICMR 2017: 192-200 - [c141]Bo Wang, Martha A. Larson:
Beyond Concept Detection: The Potential of User Intent for Image Retrieval. MUSA2@MM 2017: 11-19 - [c140]Maria Eskevich, Martha A. Larson, Robin Aly, Serwah Sabetghadam, Gareth J. F. Jones, Roeland Ordelman, Benoit Huet:
Multimodal Video-to-Video Linking: Turning to the Crowd for Insight and Evaluation. MMM (2) 2017: 280-292 - [c139]Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang, Martha A. Larson:
CitRec 2017: International Workshop on Recommender Systems for Citizens. RecSys 2017: 388-389 - [c138]Benjamin Kille, Andreas Lommatzsch, Frank Hopfgartner, Martha A. Larson, Arjen P. de Vries:
A Stream-based Resource for Multi-Dimensional Evaluation of Recommender Algorithms. SIGIR 2017: 1257-1260 - [e17]Guillaume Gravier, Benjamin Bischke, Claire-Hélène Demarty, Maia Zaharieva, Michael Riegler, Emmanuel Dellandréa, Dmitry Bogdanov, Richard F. E. Sutcliffe, Gareth J. F. Jones, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), Dublin, Ireland, September 13-15, 2017. CEUR Workshop Proceedings 1984, CEUR-WS.org 2017 [contents] - [e16]Bogdan Ionescu, Nicu Sebe, Jiashi Feng, Martha A. Larson, Rainer Lienhart, Cees Snoek:
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, ICMR 2017, Bucharest, Romania, June 6-9, 2017. ACM 2017, ISBN 978-1-4503-4701-3 [contents] - [e15]Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang, Martha A. Larson:
Proceedings of International Workshop on Citizens for Recommender Systems, CitRec@RecSys 2017, 31 August 2017, Como, Italy. ACM 2017 [contents] - 2016
- [j29]Christoph Kofler, Martha A. Larson, Alan Hanjalic:
User Intent in Multimedia Search: A Survey of the State of the Art and Future Challenges. ACM Comput. Surv. 49(2): 36:1-36:37 (2016) - [j28]Kuan-Ta Chen, Omar Alonso, Martha A. Larson, Irwin King:
Introduction to the Special Issue on Crowd in Intelligent Systems. ACM Trans. Intell. Syst. Technol. 7(4): 44:1-44:2 (2016) - [c137]Xinchao Li, Peng Xu, Yue Shi, Martha A. Larson, Alan Hanjalic:
Simple tag-based subclass representations for visually-varied image classes. CBMI 2016: 1-6 - [c136]Michael Riegler, Vamsidhar Reddy Gaddam, Martha A. Larson, Ragnhild Eg, Pål Halvorsen, Carsten Griwodz:
Crowdsourcing as self-fulfilling prophecy: Influence of discarding workers in subjective assessment tasks. CBMI 2016: 1-6 - [c135]Benjamin Kille, Andreas Lommatzsch, Gebrekirstos G. Gebremeskel, Frank Hopfgartner, Martha A. Larson, Jonas Seiler, Davide Malagoli, András Serény, Torben Brodt,