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Shenxiao Mei

2 accepted papers

2022

OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images

ECCV 2022poster

"Enhancing the robustness of vision algorithms in real-world scenarios is challenging. One reason is that existing robustness benchmarks are limited, as they either rely on synthetic data or ignore the effects of individual nuisance factors. We introduce ROBIN, a benchmark dataset that includes out-…

2021

Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose

NeurIPS 2021poster

We study the problem of learning to estimate the 3D object pose from a few labelled examples and a collection of unlabelled data. Our main contribution is a learning framework, neural view synthesis and matching, that can transfer the 3D pose annotation from the labelled to unlabelled images reliabl…