105 citations · 144 across the 10 of their papers we have counts for
11 papers · 1 filter
Localizing Adverts in Outdoor Scenes
Soumyabrata Dev, Murhaf Hossari, Matthew Nicholson +6
Online videos have witnessed an unprecedented growth over the last decade, owing to wide range of content creation. This provides the advertisement and marketing agencies plethora…
The CASE Dataset of Candidate Spaces for Advert Implantation
Soumyabrata Dev, Murhaf Hossari, Matthew Nicholson +6
With the advent of faster internet services and growth of multimedia content, we observe a massive growth in the number of online videos. The users generate these video contents at…
The ALOS Dataset for Advert Localization in Outdoor Scenes
Soumyabrata Dev, Murhaf Hossari, Matthew Nicholson +6
The rapid increase in the number of online videos provides the marketing and advertising agents ample opportunities to reach out to their audience. One of the most widely used stra…
Joint Unsupervised Learning of Optical Flow and Depth by Watching Stereo Videos
Yang Wang, Zhenheng Yang, Peng Wang +3
Learning depth and optical flow via deep neural networks by watching videos has made significant progress recently. In this paper, we jointly solve the two tasks by exploiting the…
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding
Chenxu Luo, Zhenheng Yang, Peng Wang +4
Learning to estimate 3D geometry in a single frame and optical flow from consecutive frames by watching unlabeled videos via deep convolutional network has made significant progres…
Tracklet Association Tracker: An End-to-End Learning-based Association Approach for Multi-Object Tracking
Han Shen, Lichao Huang, Chang Huang +1
Traditional multiple object tracking methods divide the task into two parts: affinity learning and data association. The separation of the task requires to define a hand-crafted tr…