Search Results for author:
Found 29 papers, 4 papers with code
Rapid Reconstruction of Extremely Accelerated Liver 4D MRI via Chained Iterative Refinement
The inference time of CIRNet, CS, and Re-Con-GAN are 11s, 120s, and 0. 15s.
TomoGRAF: A Robust and Generalizable Reconstruction Network for Single-View Computed Tomography
Computed tomography (CT) provides high spatial resolution visualization of 3D structures for scientific and clinical applications.
EVLM: An Efficient Vision-Language Model for Visual Understanding
However, when dealing with long sequences of visual signals or inputs such as videos, the self-attention mechanism of language models can lead to significant computational overhead.
Topo4D: Topology-Preserving Gaussian Splatting for High-Fidelity 4D Head Capture
To simplify this process, we propose Topo4D, a novel framework for automatic geometry and texture generation, which optimizes densely aligned 4D heads and 8K texture maps directly from calibrated multi-view time-series images.
Paired Conditional Generative Adversarial Network for Highly Accelerated Liver 4D MRI
Re-Con-GAN processed the data (3D+t) as temporal slices (2D+t).
Block-wise LoRA: Revisiting Fine-grained LoRA for Effective Personalization and Stylization in Text-to-Image Generation
The objective of personalization and stylization in text-to-image is to instruct a pre-trained diffusion model to analyze new concepts introduced by users and incorporate them into expected styles.
Lumos : Empowering Multimodal LLMs with Scene Text Recognition
We introduce Lumos, the first end-to-end multimodal question-answering system with text understanding capabilities.
Nodule detection and generation on chest X-rays: NODE21 Challenge
To address this, we organized a public research challenge, NODE21, aimed at the detection and generation of lung nodules in chest X-rays.
3D-Aware Face Editing via Warping-Guided Latent Direction Learning
To address the problem of distortion caused by tri-plane warping we train a warp-aware encoder to project the warped face onto a standardized latent space.
DisControlFace: Adding Disentangled Control to Diffusion Autoencoder for One-shot Explicit Facial Image Editing
We identify the key challenge as the exploration of disentangled conditional control between high-level semantics and explicit parameters (e. g., 3DMM) in the generation process, and accordingly propose a novel diffusion-based editing framework, named DisControlFace.
HHAvatar: Gaussian Head Avatar with Dynamic Hairs
To address the problem of dynamic hair modeling, we introduce a hybrid head model into our avatar representation based Gaussian Head Avatar and a training method that considers timing information and an occlusion perception module to model the non-rigid motion of hair.
A Two-Step Framework for Multi-Material Decomposition of Dual Energy Computed Tomography from Projection Domain
Deep learning (DL) methods have shown promise to improve the MMD performance, but typical approaches of conducing DL-MMD in the image domain fail to fully utilize projection information or under iterative setup are computationally inefficient in both training and prediction.
PARF: Primitive-Aware Radiance Fusion for Indoor Scene Novel View Synthesis
This paper proposes a method for fast scene radiance field reconstruction with strong novel view synthesis performance and convenient scene editing functionality.
Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer
Dynamic magnetic resonance imaging (DMRI) is an effective imaging tool for diagnosis tasks that require motion tracking of a certain anatomy.
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation
In this paper, we summarize the winning solutions from the RoboDepth Challenge -- an academic competition designed to facilitate and advance robust OoD depth estimation.
Pink-Eggs Dataset V1: A Step Toward Invasive Species Management Using Deep Learning Embedded Solutions
We introduce a novel dataset consisting of images depicting pink eggs that have been identified as Pomacea canaliculata eggs, accompanied by corresponding bounding box annotations.
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition
Long-tailed multi-label visual recognition (LTML) task is a highly challenging task due to the label co-occurrence and imbalanced data distribution.
Ranked #1 on
Long-tail Learning
on COCO-MLT
(using extra training data)
A Survey on Deep Neural Network Partition over Cloud, Edge and End Devices
This paper provides a comprehensive survey on the recent advances and challenges in DNN partition approaches over the cloud, edge, and end devices based on a detailed literature collection.
An Efficient and Robust Method for Chest X-Ray Rib Suppression that Improves Pulmonary Abnormality Diagnosis
Suppression of thoracic bone shadows on chest X-rays (CXRs) has been indicated to improve the diagnosis of pulmonary disease.
Boosting Video-Text Retrieval with Explicit High-Level Semantics
Video-text retrieval (VTR) is an attractive yet challenging task for multi-modal understanding, which aims to search for relevant video (text) given a query (video).
SimViT: Exploring a Simple Vision Transformer with sliding windows
Although vision Transformers have achieved excellent performance as backbone models in many vision tasks, most of them intend to capture global relations of all tokens in an image or a window, which disrupts the inherent spatial and local correlations between patches in 2D structure.
In-plane selective area InSb-Al nanowire quantum networks
Strong spin-orbit semiconductor nanowires coupled to a superconductor are predicted to host Majorana zero modes.
Mesoscale and Nanoscale Physics
Large zero-bias peaks in InSb-Al hybrid semiconductor-superconductor nanowire devices
We report electron transport studies on InSb-Al hybrid semiconductor-superconductor nanowire devices.
Mesoscale and Nanoscale Physics
Sequential Deep Learning for Credit Risk Monitoring with Tabular Financial Data
Machine learning plays an essential role in preventing financial losses in the banking industry.
IllumiNet: Transferring Illumination from Planar Surfaces to Virtual Objects in Augmented Reality
This paper presents an illumination estimation method for virtual objects in real environment by learning.
Using generative adversarial networks to synthesize artificial financial datasets
Generative Adversarial Networks (GANs) became very popular for generation of realistically looking images.
LSTM-Assisted Evolutionary Self-Expressive Subspace Clustering
Massive volumes of high-dimensional data that evolves over time is continuously collected by contemporary information processing systems, which brings up the problem of organizing this data into clusters, i. e. achieve the purpose of dimensional deduction, and meanwhile learning its temporal evolution patterns.
Sparse Least Squares Low Rank Kernel Machines
A general framework of least squares support vector machine with low rank kernels, referred to as LR-LSSVM, is introduced in this paper.
Recovering Surface Details under General Unknown Illumination Using Shading and Coarse Multi-view Stereo
As a result, our approach is robust, stable and is able to efficiently recover high quality of surface details even starting with a coarse MVS.
