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Yihao Lv

2 accepted papers

2024

3D Human Pose Estimation via Non-Causal Retentive Networks

ECCV 2024poster

"Temporal dependencies are essential in 3D human pose estimation to mitigate depth ambiguity. Previous methods typically use a fixed-length sliding window to capture these dependencies. However, they treat past and future frames equally, ignoring the fact that relying on too many future frames incre…

2020

The Dilemma of TriHard Loss and an Element-Weighted TriHard Loss for Person Re-Identification

NeurIPS 2020poster

Triplet loss with batch hard mining (TriHard loss) is an important variation of triplet loss inspired by the idea that hard triplets improve the performance of metric leaning networks. However, there is a dilemma in the training process. The hard negative samples contain various quite similar charac…