24 citations · 39 across the 8 of their papers we have counts for
8 papers
CompTrack: Information Bottleneck-Guided Low-Rank Dynamic Token Compression for Point Cloud Tracking
Sifan Zhou, Yichao Cao, Jiahao Nie +4
3D single object tracking (SOT) in LiDAR point clouds is a critical task in computer vision and autonomous driving. Despite great success having been achieved, the inherent sparsit…
Attributes Grouping and Mining Hashing for Fine-Grained Image Retrieval
Xin Lu, Shikun Chen, Yichao Cao +2
In recent years, hashing methods have been popular in the large-scale media search for low storage and strong representation capabilities. To describe objects with similar overall…
Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models
Yichao Cao, Qingfei Tang, Xiu Su +4
Human-object interaction (HOI) detection aims to comprehend the intricate relationships between humans and objects, predicting triplets, and serving as th…
Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection
Yichao Cao, Qingfei Tang, Feng Yang +4
Human-Object Interaction (HOI) detection is a challenging computer vision task that requires visual models to address the complex interactive relationship between humans and object…
Contrastive Embedding Distribution Refinement and Entropy-Aware Attention for 3D Point Cloud Classification
Feng Yang, Yichao Cao, Qifan Xue +3
Learning a powerful representation from point clouds is a fundamental and challenging problem in the field of computer vision. Different from images where RGB pixels are stored in…
A SOM-based Gradient-Free Deep Learning Method with Convergence Analysis
Shaosheng Xu, Jinde Cao, Yichao Cao +1
As gradient descent method in deep learning causes a series of questions, this paper proposes a novel gradient-free deep learning structure. By adding a new module into traditional…
STCNet: Spatio-Temporal Cross Network for Industrial Smoke Detection
Yichao Cao, Qingfei Tang, Xiaobo Lu +2
Industrial smoke emissions present a serious threat to natural ecosystems and human health. Prior works have shown that using computer vision techniques to identify smoke is a low…
Memory Group Sampling Based Online Action Recognition Using Kinetic Skeleton Features
Guoliang Liu, Qinghui Zhang, Yichao Cao +3
Online action recognition is an important task for human centered intelligent services, which is still difficult to achieve due to the varieties and uncertainties of spatial and te…