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Hao Lu's Projects

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(ECCV'22) FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling

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(TIP'18) An Embarrassingly Simple Approach to Visual Domain Adaptation

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(ECCV'20) Weighing Counts: Sequential Crowd Counting by Reinforcement Learning

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(PLME'17) TasselNet: counting maize tassels in the wild via local counts regression network

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(TGRS'22) TasselNetV3: Explainable Plant Counting With Guided Upsampling and Background Suppression

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(PLME'20) Maize tassels detection: a benchmark of the state of the art

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(NeurIPS'22) SAPA: Similarity-Aware Point Affiliation for Feature Upsampling

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(PP'20) High-Throughput Rice Density Estimation from Transplantation to Tillering Stages Using Deep Networks

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(ICCV'17) When Unsupervised Domain Adaptation Meets Tensor Representations

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(Front Plant Sci'20) TasselNetv2+: A Fast Implementation for High-Throughput Plant Counting from High-Resolution RGB Imagery

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