36 citations · 69 across the 6 of their papers we have counts for
4 papers · 1 filter
Parameter Efficient Multimodal Transformers for Video Representation Learning
Sangho Lee, Youngjae Yu, Gunhee Kim +3
The recent success of Transformers in the language domain has motivated adapting it to a multimodal setting, where a new visual model is trained in tandem with an already pretraine…
Displacement-Invariant Cost Computation for Efficient Stereo Matching
Yiran Zhong, Charles Loop, Wonmin Byeon +7
Although deep learning-based methods have dominated stereo matching leaderboards by yielding unprecedented disparity accuracy, their inference time is typically slow, on the order…
Discovering Nonlinear Relations with Minimum Predictive Information Regularization
Tailin Wu, Thomas Breuel, Michael Skuhersky +1
Identifying the underlying directional relations from observational time series with nonlinear interactions and complex relational structures is key to a wide range of applications…
High Performance I/O For Large Scale Deep Learning
Alex Aizman, Gavin Maltby, Thomas Breuel
Training deep learning (DL) models on petascale datasets is essential for achieving competitive and state-of-the-art performance in applications such as speech, video analytics, an…