1 citations · 1 across the 4 of their papers we have counts for
4 papers
Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train
Haojun Jiang, Meng Li, Zhenguo Sun +5
The complex structure of the heart leads to significant challenges in echocardiography, especially in acquisition cardiac ultrasound images. Successful echocardiography requires a…
LocalGCL: Local-aware Contrastive Learning for Graphs
Haojun Jiang, Jiawei Sun, Jie Li +1
Graph representation learning (GRL) makes considerable progress recently, which encodes graphs with topological structures into low-dimensional embeddings. Meanwhile, the time-cons…
Joint Representation Learning for Text and 3D Point Cloud
Rui Huang, Xuran Pan, Henry Zheng +4
Recent advancements in vision-language pre-training (e.g. CLIP) have shown that vision models can benefit from language supervision. While many models using language modality have…
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition
Yulin Wang, Yang Yue, Yuanze Lin +6
Recent works have shown that the computational efficiency of video recognition can be significantly improved by reducing the spatial redundancy. As a representative work, the adapt…