The task of 3D single object tracking (SOT) with LiDAR point clouds is
c...
3D object detection with surround-view images is an essential task for
a...
Multi-scale features have been proven highly effective for object detect...
With the prevalence of LiDAR sensors in autonomous driving, 3D object
tr...
3D object detection using point clouds has attracted increasing attentio...
Few-shot object detection has been extensively investigated by incorpora...
The recently proposed DEtection TRansformer (DETR) has established a ful...
The recently developed DEtection TRansformer (DETR) establishes a new ob...
In a point cloud sequence, 3D object tracking aims to predict the locati...
Training effective Generative Adversarial Networks (GANs) requires large...
Temporal relational data, perhaps the most commonly used data type in
in...
Neural relation extraction models have shown promising results in recent...
Deep learning-based 3D object detection has achieved unprecedented succe...
Crowd counting on the drone platform is an interesting topic in computer...
Deep learning-based multi-source unsupervised domain adaptation (MUDA) h...
The prevalent approach in domain adaptive object detection adopts a two-...
Acronym disambiguation (AD) task aims to find the correct expansions of ...
Recently, methods based on Convolutional Neural Networks (CNN) achieved
...
This paper presents a Convolutional Neural Network (CNN) approach for
co...
This paper introduces the real image Super-Resolution (SR) challenge tha...
Image classification has always been a hot and challenging task. This pa...
This paper is a brief report to our submission to the VIPriors Action
Re...
This paper is a brief report to our submission to the VIPriors Object
De...
Continual learning with neural networks is an important learning framewo...
This paper is a brief report to our submission to the Recognizing Famili...
Middle-echo, which covers one or a few corresponding points, is a specif...
This paper proposes a novel training scheme for fast matching models in
...