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08/19/2023
3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation
Regression-based methods for 3D human pose estimation directly predict t...
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06/15/2022
Waymo Open Dataset: Panoramic Video Panoptic Segmentation
Panoptic image segmentation is the computer vision task of finding group...
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05/03/2022
In Defense of Image Pre-Training for Spatiotemporal Recognition
Image pre-training, the current de-facto paradigm for a wide range of vi...
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04/21/2022
Fast AdvProp
Adversarial Propagation (AdvProp) is an effective way to improve recogni...
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11/10/2021
Are Transformers More Robust Than CNNs?
Transformer emerges as a powerful tool for visual recognition. In additi...
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11/28/2020
Batch Normalization with Enhanced Linear Transformation
Batch normalization (BN) is a fundamental unit in modern deep networks, ...
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10/12/2020
Shape-Texture Debiased Neural Network Training
Shape and texture are two prominent and complementary cues for recognizi...
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04/04/2020
Neural Architecture Search for Lightweight Non-Local Networks
Non-Local (NL) blocks have been widely studied in various vision tasks. ...
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03/28/2020
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network
3D Convolution Neural Networks (CNNs) have been widely applied to 3D sce...
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12/20/2019
