Search Results for author:
Found 4 papers, 2 papers with code
Visual Representation Learning with Self-Supervised Attention for Low-Label High-data Regime
For few-shot image classification we train SSL-ViTs without any supervision, on external data, and use this trained embedder to adapt quickly to novel classes with limited number of labels.
TrackNet: Simultaneous Object Detection and Tracking and Its Application in Traffic Video Analysis
We propose a novel network structure named trackNet that can directly detect a 3D tube enclosing a moving object in a video segment by extending the faster R-CNN framework.
Very Long Term Field of View Prediction for 360-degree Video Streaming
In this work, we treat the FoV prediction as a sequence learning problem, and propose to predict the target user's future FoV not only based on the user's own past FoV center trajectory but also other users' future FoV locations.
Pixel-wise object tracking
In this paper, we propose a novel pixel-wise visual object tracking framework that can track any anonymous object in a noisy background.
