Results 31 to 40 of about 183,416 (165)
Multi-view Convolutional Neural Networks for 3D Shape Recognition [PDF]
, 2015 A longstanding question in computer vision concerns the representation of 3D shapes for recognition: should 3D shapes be represented with descriptors operating on their native 3D formats, such as voxel grid or polygon mesh, or can they be effectively ...
Kalogerakis, Evangelos +3 more
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Heterogeneous face detection based on multi‐task cascaded convolutional neural network
IET Image Processing, 2022 Facial target detection is an important task in computer vision. Because heterogeneous face detection shows broad prospects, it has attracted extensive attention from the academic community.
XianBen Yang, Wei Zhang
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Sharing Experiences in Infancy: From Primary Intersubjectivity to Shared Intentionality
Frontiers in Psychology, 2021 We contrast two theses that make different assumptions about the developmental onset of human-unique sociality. The primary intersubjectivity thesis (PIT) argues that humans relate to each other in distinct ways from the beginning of life, as is shown by
Henrike Moll +3 more
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Face Sketch Matching via Coupled Deep Transform Learning
, 2017 Face sketch to digital image matching is an important challenge of face recognition that involves matching across different domains. Current research efforts have primarily focused on extracting domain invariant representations or learning a mapping from
Majumdar, Angshul +5 more
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End-to-End Photo-Sketch Generation via Fully Convolutional Representation Learning
, 2015 Sketch-based face recognition is an interesting task in vision and multimedia research, yet it is quite challenging due to the great difference between face photos and sketches.
Ding, Shengyong +4 more
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SP-Net: A Novel Framework to Identify Composite Sketch
IEEE Access, 2019 Identifying composite sketches with digital face photos is an important and challenging task for law enforcement agencies. It has attracted a wide research interest in the face recognition area. In this paper, we present a novel framework that identifies
Hamid Cheraghi, Hyo Jong Lee
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Non-Visual to Visual Translation for Cross-Domain Face Recognition
IEEE Access, 2020 Reducing the cross-modality gap between two different domains is a challenging problem for heterogeneous face recognition (HFR). The current visual domain face recognition system is not easy to solve the discrepancy of cross-modality when two comparing ...
Han Byeol Bae +4 more
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Deep Sketch-Photo Face Recognition Assisted by Facial Attributes
, 2018 In this paper, we present a deep coupled framework to address the problem of matching sketch image against a gallery of mugshots. Face sketches have the essential in- formation about the spatial topology and geometric details of faces while missing some ...
Dabouei, Ali +4 more
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An Improved Siamese Network for Face Sketch Recognition [PDF]
2019 International Conference on Machine Learning and Cybernetics (ICMLC), 2019 Face sketch recognition identifies the face photo from a large face sketch dataset. Some traditional methods are typically used to reduce the modality gap between face photos and sketches and gain excellent recognition rate based on a pseudo image which is synthesized using the corresponded face photo.
Fan, Liang, Liu, Han, Hou, Yuxuan
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High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks
, 2018 Synthesizing face sketches from real photos and its inverse have many applications. However, photo/sketch synthesis remains a challenging problem due to the fact that photo and sketch have different characteristics. In this work, we consider this task as
Patel, Vishal M. +2 more
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