Panoramic videos contain richer spatial information and have attracted
t...
Deep neural networks (DNNs) have been showed to be highly vulnerable to
...
We propose and study a new computer vision task named open-vocabulary vi...
Unrestricted adversarial attacks typically manipulate the semantic conte...
This work focuses on sign language retrieval-a recently proposed task fo...
Although Deep Neural Networks (DNNs) have demonstrated excellent perform...
Large-scale deep learning models have achieved great performance based o...
Photorealistic style transfer aims to transfer the artistic style of an ...
This paper introduces a new few-shot learning pipeline that casts releva...
Deep neural networks are vulnerable to adversarial examples, which attac...
Existing video object segmentation (VOS) benchmarks focus on short-term
...
Video salient object detection models trained on pixel-wise dense annota...
The query mechanism introduced in the DETR method is changing the paradi...
Although vision transformers (ViTs) have achieved great success in compu...
Studying the inherent symmetry of data is of great importance in machine...
In this paper, we propose a conceptually novel, efficient, and fully
con...
Current state-of-the-art saliency detection models rely heavily on large...
Current benchmarks for facial expression recognition (FER) mainly focus ...
This paper presents new hierarchically cascaded transformers that can im...
Patch attacks, one of the most threatening forms of physical attack in
a...
Affective computing plays a key role in human-computer interactions,
ent...
Recently, adversarial attacks have been applied in visual object trackin...
Realizing today's cloud-level artificial intelligence functionalities
di...
Domain adaptation for semantic segmentation enables to alleviate the nee...
Commit messages are natural language descriptions of code changes, which...
Nowadays, general object detectors like YOLO and Faster R-CNN as well as...
Sentiment analysis is the basis of intelligent human-computer interactio...
Human pose estimation from image and video is a vital task in many multi...
Underwater images play a key role in ocean exploration, but often suffer...
We propose a novel and flexible anchor mechanism named MetaAnchor for ob...