Detecting deception from Donald Trump’s tweets

Our paper “A Personal Model of Trumpery: Linguistic Deception Detection in a Real-World High-Stakes Setting” on deception detection from Donald Trump’s tweets is published in Psychological Science. Authors are Sophie van der Zee, Alice Havrileck, AurĂ©lien Baillon and me. It’s the first (linguistic) deception model that is tailored to an individual. We achieved a 74% accuracy by considering only the use of word types (not content), obtained using LIWC. Moreover, by extensive comparisons, we demonstrate that a personal approach outperforms all known (to us) empirical and theoretical prediction models based on LIWC that have been proposed previously in literature. Our website provides a nice, interactive read:

Publicly available dataset for 4K video interpolation: Inter4K

Alex Stergiou has compiled a dataset of public web videos that can be obtained from GitHub. The dataset features a range of recording settings, resolutions and frame rates. As such, it can be used to benchmark frame and video interpolation techniques, as well as up- and down-sampling operators. It’s first use is in our novel pooling operator adaPool.

SoftPool: A low-cost, better-performing pooling operator

With Alex Stergiou and Grigorios Kalliatakis, we’ve proposed and evaluated a novel pooling operator that adds a couple of percentage points to your classification (and detection) performance with negligible computational overhead. The pooling operator, SoftPool, can easily replace MaxPool or Average Pool in any CNN. Moreover, the operation is invertible so it can also be used for image upsampling. The paper was presented at ICCV 2021 and is available on GitHub.

New dr. in town: Alex Stergiou

Already on September 27, Alex Stergiou earned his “dr.” title. Congratulations! With an impressive thesis (Efficient Modelling Across Time of Human Actions and Interactions) and a solid defense, it’s no wonder he immediately secured a research position in Prof. Dima Damen‘s lab at the University of Bristol. We’re looking forward to more great research. All the best!

Dr. Kapidis’ successful thesis defense

On June 10, Georgios Kapidis successfully defended his thesis “A Modular Approach for the Detection and Interconnection of Objects, Hands, Locations, and Actions for Egocentric Video Understanding“. Congratulations to the young dr.! Thanks to all committee members. It was my pleasure to supervise Georgios with prof. Remco Veltkamp over the past years!

Multi-dataset multitask learning accepted for PAMI

Georgios Kapidis‘ work on multi-dataset multitask learning has been accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence! Congratulations! We propose a method to improve egocentric action recognition using additional datasets with potentially different label sets, and different classification and regression tasks. We can thus learn by considering only weakly related data and tasks.

The paper will be available soon. A preliminary version of the research was presented at the EPIC workshop at ICCV 2019.

Learn to cycle paper in Pattern Recognition Letters

Alex Stergiou‘s paper “Learn to cycle: Time-consistent feature discovery for action recognition” now appears in Pattern Recognition Letters. We present a new method that can flexibly extract spatio-temporal patterns with varying temporal scales. We show state-of-the-art performance on benchmark datasets, including Kinetics-700, Moments in Time and HACS. The code is available!

Nominated for Klokhuis science award 2020, vote now!

Our lie detection research with Sophie van der Zee has been nominated for the Klokhuis science award. Klokhuis was that kids program that made you become curious about science. We are honored that our research on lying in families has been nominated for their 2020 science award. Everyone can vote for any of the 10 finalists. An episode about the topic of the winner will be made and aired. Cast your vote here! (We are “Kun jij beter liegen dan je ouders?”)

Thanks to Daan van Alkemade for the 8-second teaser video!

Article on measuring the effectiveness of group play therapy

Group play appears to have a positive effect on the physical and mental development of children. However, it is unclear what the effective elements of a group play intervention are. With colleagues from the Wilhelmina Children’s Hospital in Utrecht, we set out to thoroughly evaluate their “This is Me” sports- and play-based cognitive behavior therapy program. Major challenge was to systematically measure those aspects that measure play and wellbeing. The preprint of our article in Clinical Child Psychology and Psychiatryfigure_x(b) is now online. We are looking forward to hear from other groups that focus on measuring the process of group-based play therapy.