In this paper, we focus on developing knowledge distillation (KD) for co...
Neural architecture search (NAS) proves to be among the effective approa...
Vision transformers (ViTs) quantization offers a promising prospect to
f...
Deep learning-based approaches, such as AlphaFold2 (AF2), have significa...
The recent detection transformer (DETR) has advanced object detection, b...
Image super-resolution (SR) has attracted increasing attention due to it...
Identification of fossil species is crucial to evolutionary studies. Rec...
Binary neural networks (BNNs) have received ever-increasing popularity f...
The large pre-trained vision transformers (ViTs) have demonstrated remar...
In this work, we propose to explicitly use the landmarks of prostate to ...
Knowledge distillation (KD) has been proven to be useful for training co...
Binary Neural Networks (BNNs) show great promise for real-world embedded...
Coronavirus 2019 has brought severe challenges to social stability and p...
Transparent objects are common in our daily life and frequently handled ...
Vision transformers (ViTs) have demonstrated great potential in various
...
The problem of poster generation for scientific papers is under-investig...
Real-time point cloud processing is fundamental for lots of computer vis...
With the characteristics of vertical take-off and landing and long endur...
Strong demands for efficient deployment of Deep Learning (DL) applicatio...
Fusing intra-operative 2D transrectal ultrasound (TRUS) image with
pre-o...
Prostate cancer biopsy benefits from accurate fusion of transrectal
ultr...
Motivated by applications to single-particle cryo-electron microscopy
(c...
General object grasping is an important yet unsolved problem in the fiel...
Interactive response time is important in analytical pipelines for users...
The recent outbreak of COVID-19 has led to urgent needs for reliable
dia...
Reconstructed 3D ultrasound volume provides more context information com...
We prove that the reproducing kernel Hilbert spaces (RKHS) of a deep neu...
The 1st Tiny Object Detection (TOD) Challenge aims toencourage research ...
Transrectal ultrasound (US) is the most commonly used imaging modality t...
We study estimation of a gradient-sparse parameter vector
θ^* ∈ℝ^p, havi...
Automatic medical image segmentation, an essential component of medical ...
We consider estimating a piecewise-constant image, or a gradient-sparse
...
Purpose: The fusion of transrectal ultrasound (TRUS) and magnetic resona...
Robust and accurate alignment of multimodal medical images is a very
cha...
This paper proposes a hierarchical clustering approach for the segmentat...
Automatic extraction of road curbs from uneven, unorganized, noisy and
m...