28 citations · 72 across the 8 of their papers we have counts for
3 papers
cs.CV2022
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding
Stephen Su, Samuel Kwong, Qingyu Zhao +3
There has been an increasing interest in multi-task learning for video understanding in recent years. In this work, we propose a generalized notion of multi-task learning by incorp…
cs.CV2022★ 28 cited
MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training
De-An Huang, Zhiding Yu, Anima Anandkumar
We propose MinVIS, a minimal video instance segmentation (VIS) framework that achieves state-of-the-art VIS performance with neither video-based architectures nor training procedur…
cs.CV2016★ 27 cited
Connectionist Temporal Modeling for Weakly Supervised Action Labeling
De-An Huang, Li Fei-Fei, Juan Carlos Niebles
We propose a weakly-supervised framework for action labeling in video, where only the order of occurring actions is required during training time. The key challenge is that the per…