Generalized video anomaly event detection: Systematic taxonomy and comparison of deep models
Video Anomaly Detection (VAD) serves as a pivotal technology in the intelligent surveillance
systems, enabling the temporal or spatial identification of anomalous events within videos …
systems, enabling the temporal or spatial identification of anomalous events within videos …
Aide: A vision-driven multi-view, multi-modal, multi-tasking dataset for assistive driving perception
Driver distraction has become a significant cause of severe traffic accidents over the past
decade. Despite the growing development of vision-driven driver monitoring systems, the …
decade. Despite the growing development of vision-driven driver monitoring systems, the …
Spatio-temporal domain awareness for multi-agent collaborative perception
Multi-agent collaborative perception as a potential application for vehicle-to-everything
communication could significantly improve the perception performance of autonomous …
communication could significantly improve the perception performance of autonomous …
Context de-confounded emotion recognition
Abstract Context-Aware Emotion Recognition (CAER) is a crucial and challenging task that
aims to perceive the emotional states of the target person with contextual information …
aims to perceive the emotional states of the target person with contextual information …
How2comm: Communication-efficient and collaboration-pragmatic multi-agent perception
Multi-agent collaborative perception has recently received widespread attention as an
emerging application in driving scenarios. Despite the advancements in previous efforts …
emerging application in driving scenarios. Despite the advancements in previous efforts …
Emoset: A large-scale visual emotion dataset with rich attributes
Abstract Visual Emotion Analysis (VEA) aims at predicting people's emotional responses to
visual stimuli. This is a promising, yet challenging, task in affective computing, which has …
visual stimuli. This is a promising, yet challenging, task in affective computing, which has …
Target and source modality co-reinforcement for emotion understanding from asynchronous multimodal sequences
Perceiving human emotions from a multimodal perspective has received significant attention
in knowledge engineering communities. Due to the variable receiving frequency for …
in knowledge engineering communities. Due to the variable receiving frequency for …
Improving generalization in visual reinforcement learning via conflict-aware gradient agreement augmentation
Learning a policy with great generalization to unseen environments remains challenging but
critical in visual reinforcement learning. Despite the success of augmentation combination in …
critical in visual reinforcement learning. Despite the success of augmentation combination in …
Robust emotion recognition in context debiasing
Context-aware emotion recognition (CAER) has recently boosted the practical applications
of affective computing techniques in unconstrained environments. Mainstream CAER …
of affective computing techniques in unconstrained environments. Mainstream CAER …
What2comm: Towards communication-efficient collaborative perception via feature decoupling
Multi-agent collaborative perception has received increasing attention recently as an
emerging application in driving scenarios. Despite advancements in previous approaches …
emerging application in driving scenarios. Despite advancements in previous approaches …