LiDAR-based semantic perception tasks are critical yet challenging for
a...
3D instance segmentation methods often require fully-annotated dense lab...
With the rise of Extended Reality (XR) technology, there is a growing ne...
Image-based multi-person reconstruction in wide-field large scenes is
cr...
In this paper, we present a Geometry-aware Neural Interpolation (Geo-NI)...
Cross-resolution image alignment is a key problem in multiscale gigapixe...
Learning pyramidal feature representations is crucial for recognizing ob...
High-quality 4D reconstruction of human performance with complex interac...
The light field (LF) reconstruction is mainly confronted with two challe...
In this paper, we delve into semi-supervised object detection where unla...
In this paper, a novel convolutional neural network (CNN)-based framewor...
3D perception using sensors under vehicle industrial standard is the rig...
Application-specific optical processors have been considered disruptive
...
Learning-based light field reconstruction methods demand in constructing...
Presenting high-resolution (HR) human appearance is always critical for ...
Multi-view stereopsis (MVS) tries to recover the 3D model from 2D images...
We introduce MulayCap, a novel human performance capture method using a
...
3D instance segmentation, with a variety of applications in robotics and...
We present PANDA, the first gigaPixel-level humAN-centric viDeo dAtaset,...
Deep learning frameworks have often focused on either usability or speed...
The high frame rate is a critical requirement for capturing fast human
m...
For dense sampled light field (LF) reconstruction problem, existing
appr...
To overcome the oscillation problem in the classical momentum-based
opti...
Direct image-to-image alignment that relies on the optimization of
photo...
The Reference-based Super-resolution (RefSR) super-resolves a low-resolu...
In this paper a binary feature based Loop Closure Detection (LCD) method...
This paper proposes an end-to-end learning framework for multiview
stere...
In this paper, we carry out a performance analysis from a probabilistic
...
Loop Closure Detection (LCD) has been proved to be extremely useful in g...
Aiming at automatic, convenient and non-instrusive motion capture, this ...
Towards robust and convenient indoor shopping mall navigation, we propos...
When a user scratches a hand-held rigid tool across an object surface, a...