Online learners participate in various educational activities including reading, writing,
watching video tutorials, online exams, and online meetings. During the participation in …

Facial expressions are an important way through which humans interact socially. Building a
system capable of automatically recognizing facial expressions from images and video has …

We present a novel model for Tracking Any Point (TAP) that effectively tracks any queried
point on any physical surface throughout a video sequence. Our approach employs two …

Automated Facial Expression Recognition (FER) has remained a challenging and
interesting problem in computer vision. Despite efforts made in developing various methods …

We report our image based static facial expression recognition method for the Emotion
Recognition in the Wild Challenge (EmotiW) 2015. We focus on the sub-challenge of the …

Micro-facial expressions are spontaneous, involuntary movements of the face when a
person experiences an emotion but attempts to hide their facial expression, most likely in a …

Automatic affect analysis has attracted great interest in various contexts including the
recognition of action units and basic or non-basic emotions. In spite of major efforts, there …

Research has begun to explore the use of virtual humans (VHs) in clinical interviews
(Bickmore, Gruber, & Picard, 2005). When designed as supportive and “safe” interaction …

Emotion is expressed in multiple modalities, yet most research has considered at most one
or two. This stems in part from the lack of large, diverse, well-annotated, multimodal …

Many computer vision problems (eg, camera calibration, image alignment, structure from
motion) are solved through a nonlinear optimization method. It is generally accepted that 2 …