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Found 14 papers, 7 papers with code
WiDistill: Distilling Large-scale Wi-Fi Datasets with Trajectory Matching
Wi-Fi based human activity recognition is a technology with immense potential in home automation, advanced caregiving, and enhanced security systems.
Towards 4D Human Video Stylization
To overcome these limitations, we leverage Neural Radiance Fields (NeRFs) to represent videos, conducting stylization in the rendered feature space.
AMC-Net: An Effective Network for Automatic Modulation Classification
Automatic modulation classification (AMC) is a crucial stage in the spectrum management, signal monitoring, and control of wireless communication systems.
Pixel2ISDF: Implicit Signed Distance Fields based Human Body Model from Multi-view and Multi-pose Images
The integrated features acting as the latent code are anchored to the SMPLX mesh in the canonical space.
Neural Rendering of Humans in Novel View and Pose from Monocular Video
We accomplish this by utilizing both the human pose that models the body shape as well as point clouds that partially cover the human as input.
Video Matting via Consistency-Regularized Graph Neural Networks
In this paper, we propose to enhance the temporal coherence by Consistency-Regularized Graph Neural Networks (CRGNN) with the aid of a synthesized video matting dataset.
Referring Expression Object Segmentation with Caption-Aware Consistency
To this end, we propose an end-to-end trainable comprehension network that consists of the language and visual encoders to extract feature representations from both domains.
Deep Learning for Light Field Saliency Detection
Recent research in 4D saliency detection is limited by the deficiency of a large-scale 4D light field dataset.
Accelerating convolutional neural network by exploiting sparsity on GPUs
Multiplications and additions for zero values in the feature map are useless for convolution results.
Distributed, Parallel, and Cluster Computing
Beetle Swarm Optimization Algorithm:Theory and Application
In this paper, a new meta-heuristic algorithm, called beetle swarm optimization algorithm, is proposed by enhancing the performance of swarm optimization through beetle foraging principles.
Progressive Attention Guided Recurrent Network for Salient Object Detection
In this paper, we propose a novel attention guided network which selectively integrates multi-level contextual information in a progressive manner.
Ranked #13 on
RGB Salient Object Detection
on DUTS-TE
(max F-measure metric)
Detect Globally, Refine Locally: A Novel Approach to Saliency Detection
Moreover, to effectively recover object boundaries, we propose a local Boundary Refinement Network (BRN) to adaptively learn the local contextual information for each spatial position.
Ranked #14 on
RGB Salient Object Detection
on DUTS-TE
PingAn: An Insurance Scheme for Job Acceleration in Geo-distributed Big Data Analytics System
Geo-distributed data analysis in a cloud-edge system is emerging as a daily demand.
Distributed, Parallel, and Cluster Computing
A Stagewise Refinement Model for Detecting Salient Objects in Images
To remedy this problem, here we propose to augment feedforward neural networks with a novel pyramid pooling module and a multi-stage refinement mechanism for saliency detection.
Ranked #15 on
RGB Salient Object Detection
on DUTS-TE
(max F-measure metric)
