Neural Radiance Fields (NeRF) employ multi-view images for 3D scene
repr...
We consider the symmetric difference of two graphs on the same vertex se...
The goal of this study is to implement diffusion models for speech
enhan...
This work investigates conditions for quantitative image reconstruction ...
Fisheye cameras suffer from image distortion while having a large field ...
Modern object detectors take advantage of rectangular bounding boxes as ...
Object detection and pose estimation are difficult tasks in robotics and...
Since 2021, the term "Metaverse" has been the most popular one, garnerin...
Point cloud video transmission is challenging due to high encoding/decod...
We present a nearly-linear time algorithm for finding a minimum-cost flo...
Quantum computing promises to enhance machine learning and artificial
in...
We make several advances broadly related to the maintenance of electrica...
In this paper, we prove that over finite fields modulo primes, solving
g...
One-stage object detection is commonly implemented by optimizing two
sub...
We give an algorithm for computing exact maximum flows on graphs with m
...
We investigate the problem of efficiently computing optimal transport (O...
Fine-grained image categorization is challenging due to the subtle
inter...
We consider the classical Minimum Balanced Cut problem: given a graph G,...
We study deterministic algorithms for computing graph cuts, with focus o...
We propose a simple and computationally efficient method for dense subgr...
We study dynamic algorithms for maintaining spectral vertex
sparsifiers ...
We give an algorithm to compute a one-dimensional shape-constrained func...
We develop a framework for graph sparsification and sketching, based on ...
In this paper we consider the fully-dynamic All-Pairs Effective
Resistan...