A review of vision-based traffic semantic understanding in ITSs
J Chen, Q Wang, HH Cheng, W Peng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A semantic understanding of road traffic can help people understand road traffic flow
situations and emergencies more accurately and provide a more accurate basis for anomaly …
situations and emergencies more accurately and provide a more accurate basis for anomaly …
Anticipative video transformer
Abstract We propose Anticipative Video Transformer (AVT), an end-to-end attention-based
video modeling architecture that attends to the previously observed video in order to …
video modeling architecture that attends to the previously observed video in order to …
Region attention networks for pose and occlusion robust facial expression recognition
Occlusion and pose variations, which can change facial appearance significantly, are two
major obstacles for automatic Facial Expression Recognition (FER). Though automatic FER …
major obstacles for automatic Facial Expression Recognition (FER). Though automatic FER …
Tsm: Temporal shift module for efficient video understanding
The explosive growth in video streaming gives rise to challenges on performing video
understanding at high accuracy and low computation cost. Conventional 2D CNNs are …
understanding at high accuracy and low computation cost. Conventional 2D CNNs are …
Group-aware label transfer for domain adaptive person re-identification
Abstract Unsupervised Domain Adaptive (UDA) person re-identification (ReID) aims at
adapting the model trained on a labeled source-domain dataset to a target-domain dataset …
adapting the model trained on a labeled source-domain dataset to a target-domain dataset …
Video action transformer network
Abstract We introduce the Action Transformer model for recognizing and localizing human
actions in video clips. We repurpose a Transformer-style architecture to aggregate features …
actions in video clips. We repurpose a Transformer-style architecture to aggregate features …
Attention, please! A survey of neural attention models in deep learning
A de Santana Correia, EL Colombini - Artificial Intelligence Review, 2022 - Springer
In humans, Attention is a core property of all perceptual and cognitive operations. Given our
limited ability to process competing sources, attention mechanisms select, modulate, and …
limited ability to process competing sources, attention mechanisms select, modulate, and …
Epic-fusion: Audio-visual temporal binding for egocentric action recognition
We focus on multi-modal fusion for egocentric action recognition, and propose a novel
architecture for multi-modal temporal-binding, ie the combination of modalities within a …
architecture for multi-modal temporal-binding, ie the combination of modalities within a …
Listen to look: Action recognition by previewing audio
In the face of the video data deluge, today's expensive clip-level classifiers are increasingly
impractical. We propose a framework for efficient action recognition in untrimmed video that …
impractical. We propose a framework for efficient action recognition in untrimmed video that …
Audiovisual slowfast networks for video recognition
We present Audiovisual SlowFast Networks, an architecture for integrated audiovisual
perception. AVSlowFast has Slow and Fast visual pathways that are deeply integrated with a …
perception. AVSlowFast has Slow and Fast visual pathways that are deeply integrated with a …