59 citations · 71 across the 5 of their papers we have counts for
5 papers
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation
Lingdong Kong, Yaru Niu, Shaoyuan Xie +39
Accurate depth estimation under out-of-distribution (OoD) scenarios, such as adverse weather conditions, sensor failure, and noise contamination, is desirable for safety-critical a…
You Only Train Once: Learning a General Anomaly Enhancement Network with Random Masks for Hyperspectral Anomaly Detection
Zhaoxu Li, Yingqian Wang, Chao Xiao +3
In this paper, we introduce a new approach to address the challenge of generalization in hyperspectral anomaly detection (AD). Our method eliminates the need for adjusting paramete…
Ranking-Based Siamese Visual Tracking
Feng Tang, Qiang Ling
Current Siamese-based trackers mainly formulate the visual tracking into two independent subtasks, including classification and localization. They learn the classification subnetwo…
Multi-model Ensemble Learning Method for Human Expression Recognition
Jun Yu, Zhongpeng Cai, Peng He +2
Analysis of human affect plays a vital role in human-computer interaction (HCI) systems. Due to the difficulty in capturing large amounts of real-life data, most of the current met…
Cognitive Diagnosis with Explicit Student Vector Estimation and Unsupervised Question Matrix Learning
Lu Dong, Zhenhua Ling, Qiang Ling +1
Cognitive diagnosis is an essential task in many educational applications. Many solutions have been designed in the literature. The deterministic input, noisy "and" gate (DINA) mod…