A5011295470- Semiconductor materials and devices
- Metal and Thin Film Mechanics
- Ferroelectric and Piezoelectric Materials
- Plasma Diagnostics and Applications
- ZnO doping and properties
- Electronic and Structural Properties of Oxides
- Acoustic Wave Resonator Technologies
- Copper Interconnects and Reliability
- Advanced Vision and Imaging
- Computer Graphics and Visualization Techniques
- Gas Sensing Nanomaterials and Sensors
- SARS-CoV-2 and COVID-19 Research
- Advancements in Semiconductor Devices and Circuit Design
- Microwave Dielectric Ceramics Synthesis
- Multiferroics and related materials
- Thin-Film Transistor Technologies
- Innovative Energy Harvesting Technologies
- Advanced Topology and Set Theory
- Advanced Image Processing Techniques
- Advanced Sensor and Energy Harvesting Materials
- Rings, Modules, and Algebras
- Energy Harvesting in Wireless Networks
- Generative Adversarial Networks and Image Synthesis
- COVID-19 Clinical Research Studies
- Image Enhancement Techniques
Chung-Ang University
2013-2024
Karolinska Institutet
2020-2024
University Medical Center Utrecht
2024
Alpha Omega Alpha Medical Honor Society
2024
Menlo School
2024
META Health
2022-2024
Korea Electronics Technology Institute
2022-2023
Korean Academy of Science and Technology
2017-2023
Chungbuk National University
2022
Massachusetts Institute of Technology
2018-2021
The ability to present three-dimensional (3D) scenes with continuous depth sensation has a profound impact on virtual and augmented reality, human–computer interaction, education training. Computer-generated holography (CGH) enables high-spatio-angular-resolution 3D projection via numerical simulation of diffraction interference1. Yet, existing physically based methods fail produce holograms both per-pixel focal control accurate occlusion2,3. computationally taxing Fresnel further places an...
This paper describes a method for scene reconstruction of complex, detailed environments from 3D light fields. Densely sampled fields in the order 10 9 rays allow us to capture real world unparalleled detail, but efficiently processing this amount data generate an equally represents significant challenge existing algorithms. We propose algorithm that leverages coherence massive by breaking with number established practices image-based reconstruction. Our first computes reliable depth...
We present a method that learns spatiotemporal neural irradiance field for dynamic scenes from single video. Our learned representation enables free-viewpoint rendering of the input builds upon recent advances in implicit representations. Learning video poses significant challenges because contains only one observation scene at any point time. The 3D geometry can be legitimately represented numerous ways since varying (motion) explained with appearance and vice versa. address this ambiguity...
We propose a novel approach for 3D video synthesis that is able to represent multi-view recordings of dynamic real-world scene in compact, yet expressive representation enables high-quality view and motion interpolation. Our takes the high quality compactness static neural radiance fields new direction: model-free, setting. At core our time-conditioned field represents dynamics using set compact latent codes. are significantly boost training speed perceptual generated imagery by hierarchical...
How much can we infer about a person's looks from the way they speak? In this paper, study task of reconstructing facial image person short audio recording that speaking. We design and train deep neural network to perform using millions natural Internet/Youtube videos people During training, our model learns voice-face correlations allow it produce images capture various physical attributes speakers such as age, gender ethnicity. This is done in self-supervised manner, by utilizing...
Antibodies binding to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike have therapeutic promise, but emerging variants show potential for virus escape. This emphasizes need molecules with distinct and novel neutralization mechanisms. Here we describe isolation of a nanobody that interacts simultaneously two RBDs from different trimers SARS-CoV-2, rapidly inducing formation trimer-dimers leading loss their ability attach host cell receptor, ACE2. We this potently...
Dynamic radiance field reconstruction methods aim to model the time-varying structure and appearance of a dynamic scene. Existing methods, however, assume that accurate camera poses can be reliably estimated by Structure from Motion (SfM) algorithms. These thus, are unreliable as SfM algorithms often fail or produce erroneous on challenging videos with highly objects, poorly textured surfaces, rotating motion. We address this robustness issue jointly estimating static fields along parameters...
Volumetric scene representations enable photorealistic view synthesis for static scenes and form the basis of several existing 6-DoF video techniques. However, volume rendering procedures that drive these necessitate careful trade-offs in terms quality, speed, memory efficiency. In particular, methods fail to simultaneously achieve real-time performance, small footprint, high-quality challenging real-world scenes. To address issues, we present HyperReel―a novel representation. The two core...
We present an algorithm for reconstructing the radiance field of a large-scale scene from single casually captured video. The task poses two core challenges. First, most existing reconstruction approaches rely on accurate pre-estimated camera Structure-from-Motion algorithms, which frequently fail in-the-wild videos. Second, using single, global with finite representational capacity does not scale to longer trajectories in unbounded scene. For handling unknown poses, we jointly estimate...
Descendants of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant now account for almost all SARS-CoV-2 infections. The and its sublineages have spike glycoproteins that are highly diverged from pandemic founder first-generation vaccine strain, resulting in significant evasion monoclonal antibody therapeutics vaccines. Understanding how commonly elicited antibodies can broaden to cross-neutralize escape variants is crucial. We isolate IGHV3-53, using "public"...
Point sets generated by image-based 3D reconstruction techniques are often much noisier than those obtained using active like laser scanning. Therefore, they pose greater challenges to the subsequent surface (meshing) stage. We present a simple and effective method for removing noise outliers from such point sets. Our algorithm uses input images corresponding depth maps remove pixels which geometrically or photometrically inconsistent with colored implied input. This allows standard methods...
Neural radiance fields (NeRFs) produce state-of-the-art view synthesis results, but are slow to render, requiring hundreds of network evaluations per pixel approximate a volume rendering integral. Baking NeRFs into explicit data structures enables efficient rendering, results in large memory footprints and, some cases, quality reduction. Additionally, volumetric representations for often struggle represent challenging dependent effects such as distorted reflections and refractions. We...
Novel view synthesis from a single image has been cornerstone problem for many Virtual Reality applications that provide immersive experiences. However, most existing techniques can only synthesize novel views within limited range of camera motion or fail to generate consistent and high-quality under significant movement. In this work, we propose pose-guided diffusion model long-term video image. We design an attention layer uses epipolar lines as constraints facilitate the association...
Abstract The immune responses to Novavax’s licensed NVX-CoV2373 nanoparticle Spike protein vaccine against SARS-CoV-2 remain incompletely understood. Here, we show in rhesus macaques that immunization with Matrix-M TM adjuvanted vaccines predominantly elicits events local tissues little spillover the periphery. A third dose of an updated based on Gamma (P.1) variant 7 months after two immunizations resulted significant enhancement anti-spike antibody titers and breadth including...
The outbreak and spread of SARS-CoV-2 (severe acute respiratory syndrome-coronavirus-2) is a current global health emergency, effective prophylactic vaccines are needed urgently. spike glycoprotein mediates entry into host cells, thus the target neutralizing antibodies. Here, we show that adjuvanted protein immunization with soluble trimers, stabilized in prefusion conformation, results potent antibody responses mice rhesus macaques, titers exceeding those typically measured seropositive...
The SARS-CoV-2 Omicron 1 Variant of Concern (B.1.1.529) has spread rapidly in many countries. With a spike that is highly diverged from the pandemic founder, it escapes most available monoclonal antibody therapeutics 2,3 and erodes vaccine protection 4 . A public class IGHV3-53-using neutralizing antibodies 5,6 typically fails to neutralize variants carrying mutations receptor-binding motif 7–11 , including Omicron. As this are likely elicited people following infection or vaccination, their...
Conventional approaches to isolate and characterize nanobodies are laborious. We combine phage display, multivariate enrichment, next-generation sequencing, a streamlined screening strategy identify numerous anti–severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nanobodies. their potency specificity using neutralization assays hydrogen/deuterium exchange mass spectrometry (HDX-MS). The most potent bind the receptor binding motif of domain (RBD), we two exceptionally members this...