research
∙
08/17/2023
Automated and Context-Aware Repair of Color-Related Accessibility Issues for Android Apps
Approximately 15 disabilities or impairments. However, many mobile UX de...
share
research
∙
07/29/2023
Ultrasound Image Reconstruction with Denoising Diffusion Restoration Models
Ultrasound image reconstruction can be approximately cast as a linear in...
research
∙
06/15/2023
Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation
Zero-shot NL2SQL is crucial in achieving natural language to SQL that is...
research
∙
06/09/2023
Spatial Re-parameterization for N:M Sparsity
This paper presents a Spatial Re-parameterization (SpRe) method for the ...
research
∙
05/25/2023
ProSpect: Expanded Conditioning for the Personalization of Attribute-aware Image Generation
Personalizing generative models offers a way to guide image generation w...
research
∙
05/14/2023
MultiQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization
Arbitrary bit-width network quantization has received significant attent...
research
∙
05/10/2023
Distribution-Flexible Subset Quantization for Post-Quantizing Super-Resolution Networks
This paper introduces Distribution-Flexible Subset Quantization (DFSQ), ...
research
∙
05/09/2023
Style-A-Video: Agile Diffusion for Arbitrary Text-based Video Style Transfer
Large-scale text-to-video diffusion models have demonstrated an exceptio...
research
∙
03/26/2023
The Application of Driver Models in the Safety Assessment of Autonomous Vehicles: A Survey
Driver models play a vital role in developing and verifying autonomous v...
research
∙
03/09/2023
A Unified Arbitrary Style Transfer Framework via Adaptive Contrastive Learning
We present Unified Contrastive Arbitrary Style Transfer (UCAST), a novel...
research
∙
02/13/2023
Bi-directional Masks for Efficient N:M Sparse Training
We focus on addressing the dense backward propagation issue for training...
research
∙
12/26/2022
SMMix: Self-Motivated Image Mixing for Vision Transformers
CutMix is a vital augmentation strategy that determines the performance ...
research
∙
12/08/2022
Shadow Removal by High-Quality Shadow Synthesis
Most shadow removal methods rely on the invasion of training images asso...
research
∙
11/23/2022
Inversion-Based Style Transfer with Diffusion Models
The artistic style within a painting is the means of expression, which i...
research
∙
11/19/2022
DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization
Despite the impressive results of arbitrary image-guided style transfer ...
research
∙
11/12/2022
Exploiting the Partly Scratch-off Lottery Ticket for Quantization-Aware Training
Quantization-aware training (QAT) receives extensive popularity as it we...
research
∙
06/14/2022
Learning Best Combination for Efficient N:M Sparsity
By forcing at most N out of M consecutive weights to be non-zero, the re...
research
∙
05/23/2022
Super Vision Transformer
We attempt to reduce the computational costs in vision transformers (ViT...
research
∙
05/19/2022
Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning
In this work, we tackle the challenging problem of arbitrary image style...
research
∙
05/03/2022
A Survey of Deep Learning Models for Structural Code Understanding
In recent years, the rise of deep learning and automation requirements i...
research
∙
02/15/2022
Pruning Networks with Cross-Layer Ranking k-Reciprocal Nearest Filters
This paper focuses on filter-level network pruning. A novel pruning meth...
research
∙
01/30/2022
Optimizing Gradient-driven Criteria in Network Sparsity: Gradient is All You Need
Network sparsity receives popularity mostly due to its capability to red...
research
∙
01/03/2022
Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection
Unsupervised anomaly detection aims to build models to effectively detec...
research
∙
09/23/2021
End-to-End AI-based MRI Reconstruction and Lesion Detection Pipeline for Evaluation of Deep Learning Image Reconstruction
Deep learning techniques have emerged as a promising approach to highly ...
research
∙
09/08/2021
fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data
Improving speed and image quality of Magnetic Resonance Imaging (MRI) vi...
research
∙
07/27/2021
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals
Nowadays, multi-sensor technologies are applied in many fields, e.g., He...
research
∙
05/31/2021
1×N Block Pattern for Network Sparsity
Though network sparsity emerges as a promising direction to overcome the...
research
∙
04/24/2021
Carrying out CNN Channel Pruning in a White Box
Channel Pruning has been long adopted for compressing CNNs, which signif...
research
∙
04/18/2021
Lottery Jackpots Exist in Pre-trained Models
Network pruning is an effective approach to reduce network complexity wi...
research
∙
03/07/2020
Super Resolution Using Segmentation-Prior Self-Attention Generative Adversarial Network
Convolutional Neural Network (CNN) is intensively implemented to solve s...
research
∙
01/23/2020
Channel Pruning via Automatic Structure Search
Channel pruning is among the predominant approaches to compress deep neu...
research
∙
11/19/2018