research
∙
06/05/2023
Classification of Edge-dependent Labels of Nodes in Hypergraphs
A hypergraph is a data structure composed of nodes and hyperedges, where...
share
research
∙
06/05/2023
User-friendly Image Editing with Minimal Text Input: Leveraging Captioning and Injection Techniques
Recent text-driven image editing in diffusion models has shown remarkabl...
research
∙
05/30/2023
DiffMatch: Diffusion Model for Dense Matching
The objective for establishing dense correspondence between paired image...
research
∙
03/10/2023
Semantic-Preserving Augmentation for Robust Image-Text Retrieval
Image text retrieval is a task to search for the proper textual descript...
research
∙
10/14/2022
Controllable Style Transfer via Test-time Training of Implicit Neural Representation
We propose a controllable style transfer framework based on Implicit Neu...
research
∙
06/18/2022
REVECA – Rich Encoder-decoder framework for Video Event CAptioner
We describe an approach used in the Generic Boundary Event Captioning ch...
research
∙
04/28/2022
Human Motion Control of Quadrupedal Robots using Deep Reinforcement Learning
A motion-based control interface promises flexible robot operations in d...
research
∙
12/12/2021
Deep Translation Prior: Test-time Training for Photorealistic Style Transfer
Recent techniques to solve photorealistic style transfer within deep con...
research
∙
11/17/2021
BLOOM-Net: Blockwise Optimization for Masking Networks Toward Scalable and Efficient Speech Enhancement
In this paper, we present a blockwise optimization method for masking-ba...
research
∙
05/08/2021
Test-Time Adaptation Toward Personalized Speech Enhancement: Zero-Shot Learning with Knowledge Distillation
In realistic speech enhancement settings for end-user devices, we often ...
research
∙
04/05/2021
Personalized Speech Enhancement through Self-Supervised Data Augmentation and Purification
Training personalized speech enhancement models is innately a no-shot le...
research
∙
03/31/2021
Blockwise Phase Rotation-Aided Analog Transmit Beamforming for 5G mmWave Systems
In this letter, we propose a blockwise phase rotation-aided analog trans...
research
∙
02/19/2021
Deep Learning-based Beam Tracking for Millimeter-wave Communications under Mobility
In this paper, we propose a deep learning-based beam tracking method for...
research
∙
12/09/2020
State-of-the-art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge
Accelerating MRI scans is one of the principal outstanding problems in t...
research
∙
11/18/2020
Online Exemplar Fine-Tuning for Image-to-Image Translation
Existing techniques to solve exemplar-based image-to-image translation w...
research
∙
07/29/2020
Transaction-level Model Simulator for Communication-Limited Accelerators
Rapid design space exploration in early design stage is critical to algo...
research
∙
02/14/2020
Boosted Locality Sensitive Hashing: Discriminative Binary Codes for Source Separation
Speech enhancement tasks have seen significant improvements with the adv...
research
∙
11/13/2019
Euclidean Matchings in Ultra-Dense Networks
In order to study the fundamental limits of network densification, we lo...
research
∙
10/29/2019
Meta Distribution of SIR in Ultra-Dense Networks with Bipartite Euclidean Matchings
Ultra-dense networks maximise spatial spectral efficiency through spatia...
research
∙
08/26/2019
Nearest Neighbor Search-Based Bitwise Source Separation Using Discriminant Winner-Take-All Hashing
We propose an iteration-free source separation algorithm based on Winner...
research
∙
08/23/2019
Incremental Binarization On Recurrent Neural Networks For Single-Channel Source Separation
This paper proposes a Bitwise Gated Recurrent Unit (BGRU) network for th...
research
∙
07/04/2019
