87 citations · 110 across the 7 of their papers we have counts for
7 papers
STRAP: Structured Object Affordance Segmentation with Point Supervision
Leiyao Cui, Xiaoxue Chen, Hao Zhao +2
With significant annotation savings, point supervision has been proven effective for numerous 2D and 3D scene understanding problems. This success is primarily attributed to the st…
Neighbor Regularized Bayesian Optimization for Hyperparameter Optimization
Lei Cui, Yangguang Li, Xin Lu +2
Bayesian Optimization (BO) is a common solution to search optimal hyperparameters based on sample observations of a machine learning model. Existing BO algorithms could converge sl…
ADTR: Anomaly Detection Transformer with Feature Reconstruction
Zhiyuan You, Kai Yang, Wenhan Luo +3
Anomaly detection with only prior knowledge from normal samples attracts more attention because of the lack of anomaly samples. Existing CNN-based pixel reconstruction approaches s…
A Unified Model for Multi-class Anomaly Detection
Zhiyuan You, Lei Cui, Yujun Shen +4
Despite the rapid advance of unsupervised anomaly detection, existing methods require to train separate models for different objects. In this work, we present UniAD that accomplish…
Few-shot Object Counting with Similarity-Aware Feature Enhancement
Zhiyuan You, Kai Yang, Wenhan Luo +3
This work studies the problem of few-shot object counting, which counts the number of exemplar objects (i.e., described by one or several support images) occurring in the query ima…
AutoSampling: Search for Effective Data Sampling Schedules
Ming Sun, Haoxuan Dou, Baopu Li +3
Data sampling acts as a pivotal role in training deep learning models. However, an effective sampling schedule is difficult to learn due to the inherently high dimension of paramet…