2 citations · 3 across the 11 of their papers we have counts for
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Relation-Guided Adversarial Learning for Data-free Knowledge Transfer
Yingping Liang, Ying Fu
Data-free knowledge distillation transfers knowledge by recovering training data from a pre-trained model. Despite the recent success of seeking global data diversity, the diversit…
Deep Learning Models for Colloidal Nanocrystal Synthesis
Kai Gu, Yingping Liang, Jiaming Su +7
Colloidal synthesis of nanocrystals usually includes complex chemical reactions and multi-step crystallization processes. Despite the great success in the past 30 years, it remains…
Mono2Stereo: Monocular Knowledge Transfer for Enhanced Stereo Matching
Yuran Wang, Yingping Liang, Hesong Li +1
The generalization and performance of stereo matching networks are limited due to the domain gap of the existing synthetic datasets and the sparseness of GT labels in the real data…
CascadeV-Det: Cascade Point Voting for 3D Object Detection
Yingping Liang, Ying Fu
Anchor-free object detectors are highly efficient in performing point-based prediction without the need for extra post-processing of anchors. However, different from the 2D grids,…