Every video has a better visual identity and is more clearly told with camera movement. Movement is used to show ...

Animals don't experience the world passively. A hawk tilts its head to track prey. A person leans forward to read a sign.

While rodents are the cornerstone of modern neuroscience research, it has remained an open question whether they possess the ...

If you have any problems with our work, please issue me. We will promptly reply it. Thanks for your attention! If you are interested in our work, please give us a star ⭐️. Abstract: Referring ...

Visual object tracking comprises the problem of locating and following the trajectory of a specified target across an image sequence, given only an initial annotation. Techniques have evolved from ...

Abstract: Multi-modal object tracking leverages the complementary attributes of different modalities, such as visible+ thermal (RGBT) or visible+depth (RGBD) data, to enhance tracking performance.

A Comprehensive Survey: Awesome Multi-modal Object Tracking. Chunhui Zhang, Li Liu, Hao Wen, Xi Zhou, Yanfeng Wang. [paper] [homepage][中文解读] Abstract: Multi-modal object tracking (MMOT) is an emerging ...

Abstract: Visual object tracking and segmentation in omnidirectional videos are challenging due to the wide field-of-view and large spherical distortion brought by 360 $^{\circ }$ images. To alleviate ...

Often we want to know more about the things we encounter on our trips, so Visual Intelligence on my iPhone has come in handy. With it, I just aim my phone's camera at a mysterious object, then ask AI ...

While humans concentrate on the meaning of objects, artificial intelligence focuses on visual characteristics. "These dimensions represent various properties of objects, ranging from purely visual ...