Haoyue Bai | DeepAI

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∙ 07/23/2023

Improving Out-of-Distribution Robustness of Classifiers via Generative Interpolation

Deep neural networks achieve superior performance for learning from inde...

0 Haoyue Bai, et al. ∙

∙ 06/15/2023

Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection

Modern machine learning models deployed in the wild can encounter both c...

0 Haoyue Bai, et al. ∙

∙ 09/06/2021

Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection

We present a flexible and high-performance framework, named Pyramid R-CN...

0 Jiageng Mao, et al. ∙

∙ 09/06/2021

Voxel Transformer for 3D Object Detection

We present Voxel Transformer (VoTr), a novel and effective voxel-based T...

0 Jiageng Mao, et al. ∙

∙ 09/05/2021

NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization

Recent advances on Out-of-Distribution (OoD) generalization reveal the r...

0 Haoyue Bai, et al. ∙

∙ 06/07/2021

OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms

Deep learning has achieved tremendous success with independent and ident...

0 Nanyang Ye, et al. ∙

∙ 05/20/2021

Crowd Counting by Self-supervised Transfer Colorization Learning and Global Prior Classification

Labeled crowd scene images are expensive and scarce. To significantly re...

0 Haoyue Bai, et al. ∙

∙ 04/28/2021

Motion-guided Non-local Spatial-Temporal Network for Video Crowd Counting

We study video crowd counting, which is to estimate the number of object...

0 Haoyue Bai, et al. ∙

∙ 12/31/2020

CNN-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory Signal

Single image crowd counting is a challenging computer vision problem wit...

38 Haoyue Bai, et al. ∙

∙ 12/17/2020

DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation

While deep learning demonstrates its strong ability to handle independen...

0 Haoyue Bai, et al. ∙

∙ 09/09/2019

Crowd Counting on Images with Scale Variation and Isolated Clusters

Crowd counting is to estimate the number of objects (e.g., people or veh...

0 Haoyue Bai, et al. ∙

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