Learning to capture human motion is essential to 3D human pose and shape...
We present a pose adaptive few-shot learning procedure and a two-stage d...
Contrastive learning (CL) is one of the most successful paradigms for
se...
This paper presents a novel method for instance segmentation of 3D point...
Delineation of cancerous regions in gigapixel whole slide images (WSIs) ...
How to avoid a second wave of COVID-19 after reopening the economy is a
...
We introduce a comprehensive screening platform for the COVID-19 (a.k.a....
This paper aims to tackle the challenging problem of one-shot object
det...
We introduce a regularization concept based on the proposed Batch Confus...
This paper describes a channel-selection approach for simplifying deep n...
This paper presents a "learning to learn" approach to figure-ground imag...
We present a generic and flexible module that encodes region proposals b...
We introduce the concept of Non-Local RoI (NL-RoI) Block as a generic an...
Automatic saliency prediction in 360 videos is critical for viewpoint
gu...
In many real-world applications, we have access to multiple views of the...
We address the problem of converting large-scale high-dimensional image ...
We address the problem of contour detection via per-pixel classification...
We address the problem of contour detection via per-pixel classification...