Accurately recovering the dense 3D mesh of both hands from monocular ima...
Despite the promising results of multi-view reconstruction, the recent n...
With the growing popularity of neural rendering, there has been an incre...
Deep learning-based multi-view stereo has emerged as a powerful paradigm...
Semantic map construction under bird's-eye view (BEV) plays an essential...
Human beings have rich ways of emotional expressions, including facial
a...
In contrast to fully supervised methods using pixel-wise mask labels,
bo...
Human reconstruction from multi-view images plays an important role in m...
In contrast to the fully supervised methods using pixel-wise mask labels...
Semantic segmentation on driving-scene images is vital for autonomous
dr...
Solid-state LiDARs are more compact and cheaper than the conventional
me...
Despite of the promising results on shape and color recovery using
self-...
Synthesizing free-view photo-realistic images is an important task in
mu...
In this paper, we consider the challenging task of simultaneously locati...
LiDAR sensor is essential to the perception system in autonomous vehicle...
Learning from multimodal data is an important research topic in machine
...
Though deep learning-based object detection methods have achieved promis...
Box-supervised instance segmentation has recently attracted lots of rese...
Recent deep generative models have achieved promising performance in ima...
It is challenging to directly estimate the geometry of human from a sing...
Effectively parsing the facade is essential to 3D building reconstructio...
In contrast to the oriented bounding boxes, point set representation has...
LiDAR odometry plays an important role in self-localization and mapping ...
Alongside the prevalence of mobile videos, the general public leans towa...
3D face reconstruction plays a very important role in many real-world
mu...
In this paper, we propose to investigate the problem of out-of-domain
vi...
Click-through rate (CTR) prediction is an essential task in industrial
a...
Pedestrian detection in a crowd is very challenging due to vastly differ...
Traditional control and task automation have been successfully demonstra...
The recently proposed adversarial training methods show the robustness t...
Correlation filter-based trackers heavily suffer from the problem of mul...
Recent years have witnessed many exciting achievements for object detect...
Most of existing correlation filter-based tracking approaches only estim...
Recent years have witnessed promising results of face detection using de...
Generating high fidelity identity-preserving faces has a wide range of
a...
Fast Approximate Nearest Neighbor (ANN) search technique for high-dimens...