36 citations · 69 across the 6 of their papers we have counts for
7 papers
Investigating the Nature of 3D Generalization in Deep Neural Networks
Shoaib Ahmed Siddiqui, David Krueger, Thomas Breuel
Visual object recognition systems need to generalize from a set of 2D training views to novel views. The question of how the human visual system can generalize to novel views has b…
GroupViT: Semantic Segmentation Emerges from Text Supervision
Jiarui Xu, Shalini De Mello, Sifei Liu +4
Grouping and recognition are important components of visual scene understanding, e.g., for object detection and semantic segmentation. With end-to-end deep learning systems, groupi…
ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning
Sangho Lee, Jiwan Chung, Youngjae Yu +4
The natural association between visual observations and their corresponding sound provides powerful self-supervisory signals for learning video representations, which makes the eve…
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…