Insight DCU at TRECVid 2015. - Kevin McGuinness; Eva Mohedano; Amaia Salvador; Zhenxing Zhang; Mark Marsden; Peng Wang 012; Iveel Jargalsaikhan; Joseph Antony; Xavier Giró-i-Nieto; Shin'ichi Satoh 001; Noel E. O'Connor; Alan F. Smeaton (TRECVID, 2015)

Holistic features for real-time crowd behaviour anomaly detection. - Mark Marsden; Kevin McGuinness; Suzanne Little; Noel E. O'Connor (ICIP, 2016)

Smart Stadium for Smarter Living: Enriching the Fan Experience. - Sethuraman Panchanathan; Shayok Chakraborty; Troy McDaniel; Matt Bunch; Noel E. O'Connor; Suzanne Little; Kevin McGuinness; Mark Marsden (ISM, 2016)

Dublin City University and Partners' Participation in the INS and VTT Tracks at TRECVid 2016. - Mark Marsden; Eva Mohedano; Kevin McGuinness; Andrea Calafell; Xavier Giró-i-Nieto; Noel E. O'Connor; Jiang Zhou; Lucas Azevedo; Tobias Daudert; Brian Davis 001; Manuela Hürlimann; Haithem Afli; et al. (TRECVID, 2016)

ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification. - Mark Marsden; Kevin McGuinness; Suzanne Little; Noel E. O'Connor (AVSS, 2017)

Fully Convolutional Crowd Counting on Highly Congested Scenes. - Mark Marsden; Kevin McGuinness; Suzanne Little; Noel E. O'Connor (VISIGRAPP (5: VISAPP), 2017)

Enriching the Fan Experience in a Smart Stadium Using Internet of Things Technologies. - Sethuraman Panchanathan; Shayok Chakraborty; Troy McDaniel; Ramin Tadayon; Bijan Fakhri; Noel E. O'Connor; Mark Marsden; Suzanne Little; Kevin McGuinness; David S. Monaghan (Int. J. Semantic Comput., 2017)

People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting. - Mark Marsden; Kevin McGuinness; Suzanne Little; Ciara E. Keogh; Noel E. O'Connor (CVPR, 2018)

Performance of video processing at the edge for crowd-monitoring applications. - Camille Ballas; Mark Marsden; Dian Zhang; Noel E. O'Connor; Suzanne Little (WF-IoT, 2018)

Investigating Class-Level Difficulty Factors In Multi-Label Classification Problems. - Mark Marsden; Kevin McGuinness; Joseph Antony; Haolin Wei; Milan D. Redzic; Jian Tang; Zhilan Hu; Alan F. Smeaton; Noel E. O'Connor (ICME, 2020)

Intraoperative Margin Assessment in Oral and Oropharyngeal Cancer Using Label-Free Fluorescence Lifetime Imaging and Machine Learning. - Mark Marsden; Brent W. Weyers; Julien Bec; Tianchen Sun; Regina F. Gandour-Edwards; Andrew C. Birkeland; Marianne Abouyared; Arnaud F. Bewley; D. Gregory Farwell; Laura Marcu (IEEE Trans. Biomed. Eng., 2021)

NICE: CVPR 2023 Challenge on Zero-shot Image Captioning. - Taehoon Kim; Pyunghwan Ahn; Sangyun Kim; Sihaeng Lee; Mark Marsden; Alessandra Sala; Seung Hwan Kim; Bohyung Han; Kyoung Mu Lee; Honglak Lee; Kyounghoon Bae; Xiangyu Wu; et al. (CVPR Workshops, 2024)

Large-Scale Bidirectional Training for Zero-Shot Image Captioning. - Taehoon Kim; Mark Marsden; Pyunghwan Ahn; Sangyun Kim; Sihaeng Lee; Alessandra Sala; Seung Hwan Kim (CVPR Workshops, 2024)