27 citations · 50 across the 13 of their papers we have counts for
19 papers
Robust Time Series Chain Discovery with Incremental Nearest Neighbors
Li Zhang, Yan Zhu, Yifeng Gao +1
Time series motif discovery has been a fundamental task to identify meaningful repeated patterns in time series. Recently, time series chains were introduced as an expansion of tim…
Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation
Hexin Dong, Zifan Chen, Mingze Yuan +5
As one of the most challenging and practical segmentation tasks, open-world semantic segmentation requires the model to segment the anomaly regions in the images and incrementally…
In Defense of Subspace Tracker: Orthogonal Embedding for Visual Tracking
Yao Sui, Guanghui Wang, Li Zhang
The paper focuses on a classical tracking model, subspace learning, grounded on the fact that the targets in successive frames are considered to reside in a low-dimensional subspac…
Failure Prediction in Production Line Based on Federated Learning: An Empirical Study
Ning Ge, Guanghao Li, Li Zhang +1
Data protection across organizations is limiting the application of centralized learning (CL) techniques. Federated learning (FL) enables multiple participants to build a learning…
Few-shot Action Recognition with Prototype-centered Attentive Learning
Xiatian Zhu, Antoine Toisoul, Juan-Manuel Perez-Rua +3
Few-shot action recognition aims to recognize action classes with few training samples. Most existing methods adopt a meta-learning approach with episodic training. In each episode…
Direct Classification of Emotional Intensity
Jacob Ouyang, Isaac R Galatzer-Levy, Vidya Koesmahargyo +1
In this paper, we present a model that can directly predict emotion intensity score from video inputs, instead of deriving from action units. Using a 3d DNN incorporated with dynam…