Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directions
Human activity recognition (HAR) is one of the most important and challenging problems in
the computer vision. It has critical application in wide variety of tasks including gaming …
the computer vision. It has critical application in wide variety of tasks including gaming …
Temporal action segmentation: An analysis of modern techniques
Temporal action segmentation (TAS) in videos aims at densely identifying video frames in
minutes-long videos with multiple action classes. As a long-range video understanding task …
minutes-long videos with multiple action classes. As a long-range video understanding task …
Embodiedgpt: Vision-language pre-training via embodied chain of thought
Embodied AI is a crucial frontier in robotics, capable of planning and executing action
sequences for robots to accomplish long-horizon tasks in physical environments. In this …
sequences for robots to accomplish long-horizon tasks in physical environments. In this …
Affordances from human videos as a versatile representation for robotics
Building a robot that can understand and learn to interact by watching humans has inspired
several vision problems. However, despite some successful results on static datasets, it …
several vision problems. However, despite some successful results on static datasets, it …
Ego4d: Around the world in 3,000 hours of egocentric video
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It
offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household …
offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household …
Egocentric video-language pretraining
Abstract Video-Language Pretraining (VLP), which aims to learn transferable representation
to advance a wide range of video-text downstream tasks, has recently received increasing …
to advance a wide range of video-text downstream tasks, has recently received increasing …
Anticipative video transformer
Abstract We propose Anticipative Video Transformer (AVT), an end-to-end attention-based
video modeling architecture that attends to the previously observed video in order to …
video modeling architecture that attends to the previously observed video in order to …
Future transformer for long-term action anticipation
The task of predicting future actions from a video is crucial for a real-world agent interacting
with others. When anticipating actions in the distant future, we humans typically consider …
with others. When anticipating actions in the distant future, we humans typically consider …
Learning video representations using contrastive bidirectional transformer
This paper proposes a self-supervised learning approach for video features that results in
significantly improved performance on downstream tasks (such as video classification …
significantly improved performance on downstream tasks (such as video classification …
Can't make an Omelette without Breaking some Eggs: Plausible Action Anticipation using Large Video-Language Models
We introduce PlausiVL a large video-language model for anticipating action sequences that
are plausible in the real-world. While significant efforts have been made towards anticipating …
are plausible in the real-world. While significant efforts have been made towards anticipating …