Search
Search Results
-
Advances in deep concealed scene understanding
Concealed scene understanding (CSU) is a hot computer vision topic aiming to perceive objects exhibiting camouflage. The current boom in terms of...
-
Scene text understanding: recapitulating the past decade
Computational perception has indeed been dramatically modified and reformed from handcrafted feature-based techniques to the advent of deep learning....
-
Moving vehicle tracking and scene understanding: A hybrid approach
In this paper, we present a novel deep learning method for detecting and tracking vehicles within the context of autonomous driving, particularly...
-
Knowledge enhancement and scene understanding for knowledge-based visual question answering
Knowledge-based visual question answering calls for not only paying attention to the visual content of images but also the support of relevant...
-
Towards 3D Scene Understanding Using Differentiable Rendering
Deep learning methods have achieved significant results in many 2D computer vision tasks. To realize similar results in 3D tasks, equip** deep...
-
Application of Deep Neural Network Structures in Semantic Segmentation for Road Scene Understanding
AbstractSemantic segmentation is crucial for autonomous driving as the pixel-wise classification of the surrounding scene images is the main input in...
-
Analysis and design framework for the development of indoor scene understanding assistive solutions for the person with visual impairment/blindness
This paper discusses the challenges of the current state of computer vision-based indoor scene understanding assistive solutions for the person with...
-
A single-stream adaptive scene layout modeling method for scene recognition
Scene recognition has been the foundation of research in computer vision fields. Because scene images typically are composed of specific regions...
-
Semantic embedding: scene image classification using scene-specific objects
Visual scene understanding is a hot and challenging topic in image processing that aims to understand the general (global) concept of a scene image....
-
Learning depth-aware features for indoor scene understanding
Many methods have shown that jointly learning RGB image features and 3D information from RGB-D domain is favorable to the indoor scene semantic...
-
Semantic scene upgrades for trajectory prediction
Understanding pedestrian motion is critical for many real-world applications, e.g., autonomous driving and social robot navigation. It is a...
-
Overview of indoor scene recognition and representation methods based on multimodal knowledge graphs
This paper provides a comprehensive overview of multi-modal knowledge graph technology and a three-layer framework for scene recognition. Integrating...
-
Scene representation using a new two-branch neural network model
Scene classification and recognition have always been one of the most challenging tasks of scene understanding due to the inherent ambiguity in...
-
Towards Holistic Surgical Scene Understanding
Most benchmarks for studying surgical interventions focus on a specific challenge instead of leveraging the intrinsic complementarity among different...
-
Special perceptual parsing for Chinese landscape painting scene understanding: a semantic segmentation approach
The automatic and precise perceptual parsing of Chinese landscape paintings (CLP) significantly aids in the digitization and recreation of artworks....
-
Recent trends in computer vision-driven scene understanding for VI/blind users: a systematic map**
During the past years, the development of assistive technologies for visually impaired (VI)/blind people has helped address various challenges in...
-
Semantic-aware visual scene representation
Scene classification is a mature and active computer vision task, due to the inherent ambiguity. The scene classification task aims to classify the...
-
Adaptive local recalibration network for scene recognition
Scene recognition is a computer vision task that categorizes scenes from photographs. In this paper, we introuduce the Adaptive Local Recalibration...
-
Stereo-RSSF: stereo robust sparse scene-flow estimation
Scene-flow (SF) estimation is considered to be one of the most fundamental problems in scene understanding and autonomous control. The majority of...
-
Fuzzy-based indoor scene modeling with differentiated examples
Well-designed indoor scenes incorporate interior design knowledge, which has been an essential prior for most indoor scene modeling methods. However,...
