Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Costea, Dragos"'
Face-to-face communication modeling in computer vision is an area of research focusing on developing algorithms that can recognize and analyze non-verbal cues and behaviors during face-to-face interactions. We propose an alternative to text chats for
Externí odkaz:
http://arxiv.org/abs/2402.06385
Autor:
Marcu, Alina, Pirvu, Mihai, Costea, Dragos, Haller, Emanuela, Slusanschi, Emil, Belbachir, Ahmed Nabil, Sukthankar, Rahul, Leordeanu, Marius
We present a method for learning multiple scene representations given a small labeled set, by exploiting the relationships between such representations in the form of a multi-task hypergraph. We also show how we can use the hypergraph to improve a po
Externí odkaz:
http://arxiv.org/abs/2308.07615
The task of generating novel views of real scenes is increasingly important nowadays when AI models become able to create realistic new worlds. In many practical applications, it is important for novel view synthesis methods to stay grounded in the p
Externí odkaz:
http://arxiv.org/abs/2306.14709
Semantic segmentation is a crucial task for robot navigation and safety. However, current supervised methods require a large amount of pixelwise annotations to yield accurate results. Labeling is a tedious and time consuming process that has hampered
Externí odkaz:
http://arxiv.org/abs/2010.01910
Autor:
Leordeanu, Marius, Pirvu, Mihai, Costea, Dragos, Marcu, Alina, Slusanschi, Emil, Sukthankar, Rahul
We address the challenging problem of semi-supervised learning in the context of multiple visual interpretations of the world by finding consensus in a graph of neural networks. Each graph node is a scene interpretation layer, while each edge is a de
Externí odkaz:
http://arxiv.org/abs/2010.01086
Semantic segmentation is a crucial task for robot navigation and safety. However, it requires huge amounts of pixelwise annotations to yield accurate results. While recent progress in computer vision algorithms has been heavily boosted by large groun
Externí odkaz:
http://arxiv.org/abs/1910.10026
Semantic segmentation and vision-based geolocalization in aerial images are challenging tasks in computer vision. Due to the advent of deep convolutional nets and the availability of relatively low cost UAVs, they are currently generating a growing a
Externí odkaz:
http://arxiv.org/abs/1804.01322
Autor:
Costea, Dragos, Leordeanu, Marius
Aerial image analysis at a semantic level is important in many applications with strong potential impact in industry and consumer use, such as automated mapping, urban planning, real estate and environment monitoring, or disaster relief. The problem
Externí odkaz:
http://arxiv.org/abs/1605.08323