Regression-based methods for 3D human pose estimation directly predict t...
Panoptic image segmentation is the computer vision task of finding group...
Image pre-training, the current de-facto paradigm for a wide range of vi...
Adversarial Propagation (AdvProp) is an effective way to improve recogni...
Transformer emerges as a powerful tool for visual recognition. In additi...
Batch normalization (BN) is a fundamental unit in modern deep networks, ...
Shape and texture are two prominent and complementary cues for recognizi...
Non-Local (NL) blocks have been widely studied in various vision tasks.
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3D Convolution Neural Networks (CNNs) have been widely applied to 3D sce...
Designing of search space is a critical problem for neural architecture
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