2 citations · 2 across the 4 of their papers we have counts for
5 papers
ESTANet: Efficient Online Error Detection in Procedural Videos via Prediction Inconsistency
Shih-Po Lee, Reza Ghoddoosian, Faizan Siddiqui +2
An efficient and accurate system for detecting errors in procedural tasks is crucial for supporting human needs in daily life, as it can provide instant notifications and guide peo…
EgoMAGIC- An Egocentric Video Field Medicine Dataset for Training Perception Algorithms
Brian VanVoorst, Nicholas Walczak, Christopher Gilleo +9
This paper introduces EgoMAGIC (Medical Assistance, Guidance, Instruction, and Correction), an egocentric medical activity dataset collected as part of DARPA's Perceptually-enabled…
HuPR: A Benchmark for Human Pose Estimation Using Millimeter Wave Radar
Shih-Po Lee, Niraj Prakash Kini, Wen-Hsiao Peng +2
This paper introduces a novel human pose estimation benchmark, Human Pose with Millimeter Wave Radar (HuPR), that includes synchronized vision and radio signal components. This dat…
Weakly-Supervised Image Semantic Segmentation Using Graph Convolutional Networks
Shun-Yi Pan, Cheng-You Lu, Shih-Po Lee +1
This work addresses weakly-supervised image semantic segmentation based on image-level class labels. One common approach to this task is to propagate the activation scores of Class…
GSVNet: Guided Spatially-Varying Convolution for Fast Semantic Segmentation on Video
Shih-Po Lee, Si-Cun Chen, Wen-Hsiao Peng
This paper addresses fast semantic segmentation on video.Video segmentation often calls for real-time, or even fasterthan real-time, processing. One common recipe for conserving co…