The availability of real-time semantics greatly improves the core geomet...
We present Co-SLAM, a neural RGB-D SLAM system based on a hybrid
represe...
The machine learning approach is vital in Internet of Things (IoT) malwa...
Surgery is the only viable treatment for cataract patients with visual a...
With the tremendously increasing number of videos, there is a great dema...
We present GO-Surf, a direct feature grid optimization method for accura...
Radiation encephalopathy (REP) is the most common complication for
nasop...
In the management of lung nodules, we are desirable to predict nodule
ev...
In this paper, we investigate a novel and challenging task, namely
contr...
We propose DSP-SLAM, an object-oriented SLAM system that builds a rich a...
With the need of fast retrieval speed and small memory footprint, docume...
Face detection from low-light images is challenging due to limited photo...
Low-light images, i.e. the images captured in low-light conditions, suff...
Effective and Efficient spatio-temporal modeling is essential for action...
The task of temporally grounding textual queries in videos is to localiz...
Cancer diagnosis, prognosis and therapeutic response predictions are bas...
Temporal sentence grounding in videos aims to detect and localize one ta...
Histology-based grade classification is clinically important for many ca...
Convolutional neural networks can be trained to perform histology slide
...
The task of temporally grounding language queries in videos is to tempor...
In this paper, we propose to guide the video caption generation with
Par...
Informatization grows rapidly in all walks of life, going with the
enhan...
This paper describes our solution for the 2^nd YouTube-8M video
understa...
Dense video captioning is a newly emerging task that aims at both locali...