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A comprehensive survey of scene graphs: Generation and application
Scene graph is a structured representation of a scene that can clearly express the objects,
attributes, and relationships between objects in the scene. As computer vision technology …
attributes, and relationships between objects in the scene. As computer vision technology …
Expansion-squeeze-excitation fusion network for elderly activity recognition
This work focuses on the task of elderly activity recognition, which is a challenging task due
to the existence of individual actions and human-object interactions in elderly activities …
to the existence of individual actions and human-object interactions in elderly activities …
Tcgl: Temporal contrastive graph for self-supervised video representation learning
Video self-supervised learning is a challenging task, which requires significant expressive
power from the model to leverage rich spatial-temporal knowledge and generate effective …
power from the model to leverage rich spatial-temporal knowledge and generate effective …
Advancements in perception system with multi-sensor fusion for embodied agents
The multi-sensor data fusion perception technology, as a pivotal technique for achieving
complex environmental perception and decision-making, has been garnering extensive …
complex environmental perception and decision-making, has been garnering extensive …
SRAI-LSTM: A social relation attention-based interaction-aware LSTM for human trajectory prediction
Pedestrian trajectory prediction is one of the important research topics in the field of
computer vision and a key technology of autonomous driving system. Walking in groups is a …
computer vision and a key technology of autonomous driving system. Walking in groups is a …
Multimodal emotion classification with multi-level semantic reasoning network
Nowadays, people are accustomed to posting images and associated text for expressing
their emotions on social networks. Accordingly, multimodal sentiment analysis has drawn …
their emotions on social networks. Accordingly, multimodal sentiment analysis has drawn …
Graph-based social relation reasoning
Human beings are fundamentally sociable—that we generally organize our social lives in
terms of relations with other people. Understanding social relations from an image has great …
terms of relations with other people. Understanding social relations from an image has great …
Bilateral cross-modality graph matching attention for feature fusion in visual question answering
Answering semantically complicated questions according to an image is challenging in a
visual question answering (VQA) task. Although the image can be well represented by deep …
visual question answering (VQA) task. Although the image can be well represented by deep …
[PDF][PDF] Scene graphs: A survey of generations and applications
Scene graph is a structured representation of a scene that can clearly express the objects,
attributes, and relationships between objects in the scene. As computer vision technology …
attributes, and relationships between objects in the scene. As computer vision technology …
SocialGPT: Prompting LLMs for Social Relation Reasoning via Greedy Segment Optimization
Social relation reasoning aims to identify relation categories such as friends, spouses, and
colleagues from images. While current methods adopt the paradigm of training a dedicated …
colleagues from images. While current methods adopt the paradigm of training a dedicated …