1 citations · 2 across the 4 of their papers we have counts for
4 papers
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition
Yinghao Li, Pranav Shetty, Lucas Liu +2
We study the problem of learning a named entity recognition (NER) tagger using noisy labels from multiple weak supervision sources. Though cheap to obtain, the labels from weak sup…
Human Object Interaction Detection using Two-Direction Spatial Enhancement and Exclusive Object Prior
Lu Liu, Robby T. Tan
Human-Object Interaction (HOI) detection aims to detect visual relations between human and objects in images. One significant problem of HOI detection is that non-interactive human…
Certainty Driven Consistency Loss on Multi-Teacher Networks for Semi-Supervised Learning
Lu Liu, Robby T. Tan
One of the successful approaches in semi-supervised learning is based on the consistency regularization. Typically, a student model is trained to be consistent with teacher predict…
Loss Guided Activation for Action Recognition in Still Images
Lu Liu, Robby T. Tan, Shaodi You
One significant problem of deep-learning based human action recognition is that it can be easily misled by the presence of irrelevant objects or backgrounds. Existing methods commo…