DGPose: Deep Generative Models for Human Body Analysis

DGPose: Deep Generative Models for Human Body Analysis

Deep generative modelling for human body analysis is an emerging problem with many interesting applications. However, the latent space learned by such approaches is typically not interpretable, resulting in less flexibility. In this work, we present deep generative models for human body analysis in...

書目詳細資料
Main Authors:	de Bem, R, Ghosh, A, Ajanthan, T, Miksik, O, Boukhayma, A, Siddharth, N, Torr, P
格式:	Journal article
出版:	Springer 2020

相似書籍

A semi-supervised deep generative model for human body analysis
由: De Bem, R, et al.
出版: (2019)

A conditional deep generative model of people in natural images
由: De Bem, R, et al.
出版: (2019)

3D hand shape and pose from images in the wild
由: Boukhayma, A, et al.
出版: (2020)

Cross-modal deep face normals with deactivable skip connections
由: Abrevaya, VF, et al.
出版: (2020)

Variational mixture-of-experts autoencoders for multi-modal deep generative models
由: Shi, Y, et al.
出版: (2019)

On the robustness of semantic segmentation models to adversarial attacks
由: Arnab, A, et al.
出版: (2018)

Deep fully-connected part-based models for human pose estimation
由: De Bem, R, et al.
出版: (2018)

On the robustness of semantic segmentation models to adversarial attacks
由: Arnab, A, et al.
出版: (2019)

SNIP: single-shot network pruning based on connection sensitivity
由: Lee, N, et al.
出版: (2019)

Learning disentangled representations with semi-supervised deep generative models
由: Siddharth, N, et al.
出版: (2018)

Looking deep at people: towards understanding and generating humans in images with deep learning
由: de Bem, RA
出版: (2018)

Riemannian walk for incremental learning: Understanding forgetting and intransigence
由: Chaudhry, A, et al.
出版: (2018)

A signal propagation perspective for pruning neural networks at initialization
由: Lee, N, et al.
出版: (2019)

ROAM: a rich object appearance model with application to rotoscoping
由: Miksik, O, et al.
出版: (2017)

Proximal mean-field for neural network quantization
由: Ajanthan, T, et al.
出版: (2020)

Understanding the effects of data parallelism and sparsity on neural network training
由: Lee, N, et al.
出版: (2020)

Data parallelism in training sparse neural networks
由: Lee, N, et al.
出版: (2020)

Similarity learning for dense label transfer
由: Najafi, M, et al.
出版: (2018)

Coarse-to-fine planar regularization for dense monocular depth estimation
由: Liwicki, S, et al.
出版: (2016)

Real-time dense stereo matching with ELAS on FPGA accelerated embedded devices
由: Rahnama, O, et al.
出版: (2018)

Distributed non-convex ADMM-based inference in large-scale random fields
由: Miksik, O, et al.
出版: (2014)

Learning to adapt for stereo
由: Tonioni, A, et al.
出版: (2020)

Staple: Complementary learners for real-time tracking
由: Bertinetto, L, et al.
出版: (2016)

Efficient linear programming for dense CRFs
由: Mudigonda, P, et al.
出版: (2017)

ROAM: a rich object appearance model with application to rotoscoping
由: Pérez-Rúa, J-M, et al.
出版: (2019)

Selected representations of fauna (insects, birds, whale) and the human as a “human animal” in the poetry of Ivan Laučík
由: Matúš Mikšík
出版: (2023-03-01)

Mirror Descent view for Neural Network quantization
由: Ajanthan, T, et al.
出版: (2021)

Incremental dense multi-modal 3D scene reconstruction
由: Miksik, O, et al.
出版: (2015)

Hierarchical part-based human body pose estimation
由: Navaratnam, R, et al.
出版: (2005)

Joint object-material category segmentation from audio-visual cues
由: Arnab, A, et al.
出版: (2015)

Continual learning with tiny episodic memories
由: Chaudhry, A, et al.
出版: (2019)

Multi-agent diverse generative adversarial networks
由: Ghosh, A, et al.
出版: (2018)

Efficient relaxations for dense CRFs with sparse higher-order potentials
由: Joy, T, et al.
出版: (2019)

Activated Oxygen-Containing Metabolites of the Human Body in Respiratory Diseases. Generators and Generation (Part 2)
由: A.Ye. Abaturov, et al.
出版: (2015-03-01)

Activated Nitrogen-Containing Metabolites of the Human Body in Respiratory Diseases. Generators and Generation (Part 2)
由: O.Ye. Abaturov, et al.
出版: (2015-10-01)

Válek’s Raven. The poem of Miroslav Válek “Večer [Evening]” as a subversion of traditional symbolist model of the lyric
由: Matúš Mikšík
出版: (2022-09-01)

Living in a dynamic world: semantic segmentation of large scale 3D environments
由: Miksik, O
出版: (2017)

Comparison of Two in Pixel Source Follower Schemes for Deep Subelectron Noise CMOS Image Sensors
由: Assim Boukhayma, et al.
出版: (2022-01-01)

On scaling of human body models
由: Hynčík L., et al.
出版: (2007-10-01)

Volumetric Imitation Generative Adversarial Networks for Anatomical Human Body Modeling
由: Jion Kim, et al.
出版: (2024-02-01)