Comprehensive modeling of the surrounding 3D world is key to the success...
With the advent of the big model era, the demand for data has become mor...
Data association is a knotty problem for 2D Multiple Object Tracking due...
Computer end users have spent billions of hours completing daily tasks l...
The captivating realm of Minecraft has attracted substantial research
in...
Data and model are the undoubtable two supporting pillars for LiDAR obje...
This paper aims for high-performance offline LiDAR-based 3D object detec...
We explore long-term temporal visual correspondence-based optimization f...
The transformation of features from 2D perspective space to 3D space is
...
We present a novel bird's-eye-view (BEV) detector with perspective
super...
Object discovery is a core task in computer vision. While fast progresse...
Estimating accurate 3D locations of objects from monocular images is a
c...
Previous online 3D Multi-Object Tracking(3DMOT) methods terminate a trac...
Despite the importance of unsupervised object detection, to the best of ...
Recently, one-stage object detectors gain much attention due to their
si...
Video objection detection (VID) has been a rising research direction in
...
Object detection and instance recognition play a central role in many AI...
Scale variation is one of the key challenges in object detection. In thi...
With the surge of deep learning techniques, the field of person
re-ident...
We have witnessed rapid evolution of deep neural network architecture de...