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Hi there 👋

I am a researcher in computer vision and machine learning. My current interests are in transfer learning and data-efficient learning (particularly domain adaptation, active learning) and self-supervised learning across visual tasks and domains.

See my HomePage or Google Scholar for more about me and my research. :)

Binhui Xie (谢斌辉)'s Projects

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[AAAI 2021] Code release for "Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation" https://arxiv.org/abs/2012.06995

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[TKDE 2022] A Collaborative Alignment Framework of Transferable Knowledge Extraction for Unsupervised Domain Adaptation

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Contrastive Language-Image Pretraining

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Code release for "Domain Conditioned Adaptation Network" (AAAI 2020)

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[AAAI 2022] Code release for "Active Learning for Domain Adaptation: An Energy-based Approach". https://arxiv.org/abs/2112.01406

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[TPAMI] Code release for "Generalized Domain Conditioned Adaptation Network" https://arxiv.org/abs/2103.12339

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[ACM MM 2019] Code release for "Joint Adversarial Domain Adaptation" https://dl.acm.org/doi/10.1145/3343031.3351070

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[CVPR 2022] Official Implementation of Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation https://arxiv.org/abs/2111.12940

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Scenic: A Jax Library for Computer Vision Research and Beyond

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Semantic Distribution-aware Contrastive Adaptation for Semantic Segmentation https://arxiv.org/abs/2105.05013

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Official Implementation of "SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation" https://arxiv.org/abs/2204.08808

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SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive Learning https://arxiv.org/abs/2111.12358

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Code release for "Simultaneous Semantic Alignment Network for Heterogenous Domain Adaptation" (ACMMM 2020)

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A method to increase the speed and lower the memory footprint of existing vision transformers.

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