3D point cloud visual grounding plays a critical role in 3D scene
compre...
Multi-camera 3D object detection for autonomous driving is a challenging...
Interactive image segmentation enables annotators to efficiently perform...
In this paper, we propose YOSO, a real-time panoptic segmentation framew...
In this paper, we study teacher-student learning from the perspective of...
In shilling attacks, an adversarial party injects a few fake user profil...
Unsupervised domain adaptation person re-identification (Re-ID) aims to
...
GAN inversion aims to invert an input image into the latent space of a
p...
Face recognition technology has been used in many fields due to its high...
Knowledge Distillation (KD) transfers the knowledge from a high-capacity...
Despite the exciting performance, Transformer is criticized for its exce...
In this paper, we propose a simple yet universal network termed SeqTR fo...
This paper proposes an Any-time super-Resolution Method (ARM) to tackle ...
This paper focuses on filter-level network pruning. A novel pruning meth...
Weakly supervised object localization (WSOL) aims to learn object locali...
A resource-adaptive supernet adjusts its subnets for inference to fit th...
End-to-end paradigms significantly improve the accuracy of various
deep-...
In recent years, Face Image Quality Assessment (FIQA) has become an
indi...
Recently, image-to-image translation has made significant progress in
ac...
This paper reports methods and results in the DeeperForensics Challenge ...
Descriptive region features extracted by object detection networks have
...
Referring expression comprehension (REC) and segmentation (RES) are two
...
As an approximate nearest neighbor search technique, hashing has been wi...
Image deblurring has achieved exciting progress in recent years. However...
Online hashing has attracted extensive research attention when facing
st...
Structured pruning of filters or neurons has received increased focus fo...
In this technical report, we review related works and recent trends in v...