Weakly supervised object localization and detection: A survey

D Zhang, J Han, G Cheng… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
As an emerging and challenging problem in the computer vision community, weakly
supervised object localization and detection plays an important role for developing new …

Multiple-instance learning for medical image and video analysis

G Quellec, G Cazuguel, B Cochener… - IEEE reviews in …, 2017 - ieeexplore.ieee.org
Multiple-instance learning (MIL) is a recent machine-learning paradigm that is particularly
well suited to medical image and video analysis (MIVA) tasks. Based solely on class labels …

Deep pain: Exploiting long short-term memory networks for facial expression classification

P Rodriguez, G Cucurull, J Gonzàlez… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Pain is an unpleasant feeling that has been shown to be an important factor for the recovery
of patients. Since this is costly in human resources and difficult to do objectively, there is the …

Emotion recognition in the wild challenge 2014: Baseline, data and protocol

A Dhall, R Goecke, J Joshi, K Sikka… - Proceedings of the 16th …, 2014 - dl.acm.org
The Second Emotion Recognition In The Wild Challenge (EmotiW) 2014 consists of an
audio-video based emotion classification challenge, which mimics the real-world conditions …

Prediction and localization of student engagement in the wild

A Kaur, A Mustafa, L Mehta… - 2018 Digital Image …, 2018 - ieeexplore.ieee.org
Digital revolution has transformed the traditional teaching procedures, students are going
online to access study materials. It is realised that analysis of student engagement in an e …

Automatic detection of pain from facial expressions: a survey

T Hassan, D Seuß, J Wollenberg… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Pain sensation is essential for survival, since it draws attention to physical threat to the body.
Pain assessment is usually done through self-reports. However, self-assessment of pain is …

Heterogeneous knowledge transfer in video emotion recognition, attribution and summarization

B Xu, Y Fu, YG Jiang, B Li… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Emotion is a key element in user-generated video. However, it is difficult to understand
emotions conveyed in such videos due to the complex and unstructured nature of user …

Diagnosis of depression by behavioural signals: a multimodal approach

N Cummins, J Joshi, A Dhall, V Sethu… - Proceedings of the 3rd …, 2013 - dl.acm.org
Quantifying behavioural changes in depression using affective computing techniques is the
first step in developing an objective diagnostic aid, with clinical utility, for clinical depression …

We are not all equal: Personalizing models for facial expression analysis with transductive parameter transfer

E Sangineto, G Zen, E Ricci, N Sebe - Proceedings of the 22nd ACM …, 2014 - dl.acm.org
Previous works on facial expression analysis have shown that person specific models are
advantageous with respect to generic ones for recognizing facial expressions of new users …

A review of automated pain assessment in infants: features, classification tasks, and databases

G Zamzmi, R Kasturi, D Goldgof, R Zhi… - IEEE reviews in …, 2017 - ieeexplore.ieee.org
Bedside caregivers assess infants' pain at constant intervals by observing specific
behavioral and physiological signs of pain. This standard has two main limitations. The first …