research
∙
09/10/2023
SC-NeRF: Self-Correcting Neural Radiance Field with Sparse Views
In recent studies, the generalization of neural radiance fields for nove...
share
research
∙
06/17/2023
Multi-scale Spatial-temporal Interaction Network for Video Anomaly Detection
Video anomaly detection (VAD) is an essential yet challenge task in sign...
research
∙
02/23/2023
A novel efficient Multi-view traffic-related object detection framework
With the rapid development of intelligent transportation system applicat...
research
∙
05/30/2022
Rethinking Saliency Map: An Context-aware Perturbation Method to Explain EEG-based Deep Learning Model
Deep learning is widely used to decode the electroencephalogram (EEG) si...
research
∙
03/11/2022
Learning from Attacks: Attacking Variational Autoencoder for Improving Image Classification
Adversarial attacks are often considered as threats to the robustness of...
research
∙
11/23/2020
BiOpt: Bi-Level Optimization for Few-Shot Segmentation
Few-shot segmentation is a challenging task that aims to segment objects...
research
∙
01/08/2020
Improving BLE Beacon Proximity Estimation Accuracy through Bayesian Filtering
The interconnectedness of all things is continuously expanding which has...
research
∙
11/25/2019
Fast and Generalized Adaptation for Few-Shot Learning
The ability of fast generalizing to novel tasks from a few examples is c...
research
∙
11/25/2019