Editing conditional radiance fields
A neural radiance field (NeRF) is a scene model supporting high-quality view synthesis,
optimized per scene. In this paper, we explore enabling user editing of a category-level NeRF …
optimized per scene. In this paper, we explore enabling user editing of a category-level NeRF …
A variance-constrained approach to recursive state estimation for time-varying complex networks with missing measurements
In this paper, the recursive state estimation problem is investigated for an array of discrete
time-varying coupled stochastic complex networks with missing measurements. A set of …
time-varying coupled stochastic complex networks with missing measurements. A set of …
Energy management for smart grids with electric vehicles based on hierarchical MPC
This paper presents an energy management system for smart grids with electric vehicles
based on hierarchical model predictive control (HiMPC). The energy management system …
based on hierarchical model predictive control (HiMPC). The energy management system …
Integrated current control, energy control and energy balancing of modular multilevel converters
Modular Multilevel Converters (MMCs) are a new circuit topology to realize multilevel
converters. Major advantages of MMCs in comparison to other multilevel converters or standard …
converters. Major advantages of MMCs in comparison to other multilevel converters or standard …
A review of multilevel converters with parallel connectivity
Cascaded-bridge converters (CBCs) and modular multilevel converters (MMCs) enjoy
growing popularity mostly due to modularity and scalability. Conventionally, their submodules …
growing popularity mostly due to modularity and scalability. Conventionally, their submodules …
Follow-up of relapsed B-cell lymphoma patients treated with iodine-131-labeled anti-CD20 antibody and autologous stem-cell rescue.
SY Liu, JF Eary, SH Petersdorf, PJ Martin… - Journal of Clinical …, 1998 - ascopubs.org
PURPOSE Radioimmunotherapy (RIT) is a promising treatment approach for B-cell lymphomas.
This is our first opportunity to report long-term follow-up data and late toxicities in 29 …
This is our first opportunity to report long-term follow-up data and late toxicities in 29 …
Rewriting a deep generative model
A deep generative model such as a GAN learns to model a rich set of semantic and physical
rules about the target distribution, but up to now, it has been obscure how such rules are …
rules about the target distribution, but up to now, it has been obscure how such rules are …
Diverse image generation via self-conditioned gans
We introduce a simple but effective unsupervised method for generating diverse images. We
train a class-conditional GAN model without using manually annotated class labels. Instead…
train a class-conditional GAN model without using manually annotated class labels. Instead…
New results on stabilization of networked control systems with packet disordering
In this paper, the stabilization problem is studied for a class of networked control systems (NCSs)
with delays, packet disordering and packet dropouts. A new packet reordering method …
with delays, packet disordering and packet dropouts. A new packet reordering method …
An on-line reference-trajectory generator for smooth motion of impulse-controlled industrial manipulators
S Liu - 7th International Workshop on Advanced Motion …, 2002 - ieeexplore.ieee.org
Industrial manipulators driven by impulse-controlled servo motors commonly follow prescribed
reference-trajectories which enable smooth movements (no discontinuity in acceleration …
reference-trajectories which enable smooth movements (no discontinuity in acceleration …