1 citations · 1 across the 4 of their papers we have counts for
4 papers
Privacy-Preserving Student Learning with Differentially Private Data-Free Distillation
Bochao Liu, Jianghu Lu, Pengju Wang +4
Deep learning models can achieve high inference accuracy by extracting rich knowledge from massive well-annotated data, but may pose the risk of data privacy leakage in practical d…
3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset
Junjie Zhang, Tianci Hu, Xiaoshui Huang +2
Evaluating the performance of Multi-modal Large Language Models (MLLMs), integrating both point cloud and language, presents significant challenges. The lack of a comprehensive ass…
DPIT: Dual-Pipeline Integrated Transformer for Human Pose Estimation
Shuaitao Zhao, Kun Liu, Yuhang Huang +3
Human pose estimation aims to figure out the keypoints of all people in different scenes. Current approaches still face some challenges despite promising results. Existing top-down…
CaCo: Both Positive and Negative Samples are Directly Learnable via Cooperative-adversarial Contrastive Learning
Xiao Wang, Yuhang Huang, Dan Zeng +1
As a representative self-supervised method, contrastive learning has achieved great successes in unsupervised training of representations. It trains an encoder by distinguishing po…