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20152026
most citedMobile phone data and COVID-19: Missing an opportunity?

106 citations · 328 across the 22 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CV2024

DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space

Mang Ning, Mingxiao Li, Jianlin Su +6

This paper explores image modeling from the frequency space and introduces DCTdiff, an end-to-end diffusion generative paradigm that efficiently models images in the discrete cosin…

cs.CV2024

Representation Learning and Identity Adversarial Training for Facial Behavior Understanding

Mang Ning, Albert Ali Salah, Itir Onal Ertugrul

Facial Action Unit (AU) detection has gained significant attention as it enables the breakdown of complex facial expressions into individual muscle movements. In this paper, we rev…

cs.CV2024

Snakes and Ladders: Two Steps Up for VideoMamba

Hui Lu, Albert Ali Salah, Ronald Poppe

Video understanding requires the extraction of rich spatio-temporal representations, which transformer models achieve through self-attention. Unfortunately, self-attention poses a…

cs.SI2024

Combining Twitter and Mobile Phone Data to Observe Border-Rush: The Turkish-European Border Opening

Carlos Arcila Calderón, Bilgeçağ Aydoğdu, Tuba Bircan +4

Following Turkey's 2020 decision to revoke border controls, many individuals journeyed towards the Greek, Bulgarian, and Turkish borders. However, the lack of verifiable statistics…

cs.CV2024★ 1 cited

Enhancing Video Transformers for Action Understanding with VLM-aided Training

Hui Lu, Hu Jian, Ronald Poppe +1

Owing to their ability to extract relevant spatio-temporal video embeddings, Vision Transformers (ViTs) are currently the best performing models in video action understanding. Howe…

cs.CV2024★ 1 cited

TCNet: Continuous Sign Language Recognition from Trajectories and Correlated Regions

Hui Lu, Albert Ali Salah, Ronald Poppe

A key challenge in continuous sign language recognition (CSLR) is to efficiently capture long-range spatial interactions over time from the video input. To address this challenge,…

cs.HC2024

Wrist movement classification for adaptive mobile phone based rehabilitation of children with motor skill impairments

Kayleigh Schoorl, Tamara Pinos Cisneros, Albert Ali Salah +1

Rehabilitation exercises performed by children with cerebral palsy are tedious and repetitive. To make them more engaging, we propose to use an exergame approach, where an adaptive…