8 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 2 cited
Joint Spatial-Temporal and Appearance Modeling with Transformer for Multiple Object Tracking
Peng Dai, Yiqiang Feng, Renliang Weng +1
The recent trend in multiple object tracking (MOT) is heading towards leveraging deep learning to boost the tracking performance. In this paper, we propose a novel solution named T…
cs.CV2022★ 3 cited
3SD: Self-Supervised Saliency Detection With No Labels
Rajeev Yasarla, Renliang Weng, Wongun Choi +2
We present a conceptually simple self-supervised method for saliency detection. Our method generates and uses pseudo-ground truth labels for training. The generated pseudo-GT label…
cs.CV2021★ 8 cited
Learning a Proposal Classifier for Multiple Object Tracking
Peng Dai, Renliang Weng, Wongun Choi +3
The recent trend in multiple object tracking (MOT) is heading towards leveraging deep learning to boost the tracking performance. However, it is not trivial to solve the data-assoc…