activity
20172023
most citedDeep generative-contrastive networks for facial expression recognition

75 citations · 87 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023★ 2 cited

BackTrack: Robust template update via Backward Tracking of candidate template

Dongwook Lee, Wonjun Choi, Seohyung Lee +3

Variations of target appearance such as deformations, illumination variance, occlusion, etc., are the major challenges of visual object tracking that negatively impact the performa…

cs.CV2023

Object-Centric Multi-Task Learning for Human Instances

Hyeongseok Son, Sangil Jung, Solae Lee +3

Human is one of the most essential classes in visual recognition tasks such as detection, segmentation, and pose estimation. Although much effort has been put into individual tasks…

cs.CV2021★ 3 cited

Slot-VPS: Object-centric Representation Learning for Video Panoptic Segmentation

Yi Zhou, Hui Zhang, Hana Lee +6

Video Panoptic Segmentation (VPS) aims at assigning a class label to each pixel, uniquely segmenting and identifying all object instances consistently across all frames. Classic so…

cs.CV2019★ 3 cited

Joint Learning of Generative Translator and Classifier for Visually Similar Classes

ByungIn Yoo, Tristan Sylvain, Yoshua Bengio +1

In this paper, we propose a Generative Translation Classification Network (GTCN) for improving visual classification accuracy in settings where classes are visually similar and dat…

cs.CV2019★ 4 cited

A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone

Tianchu Guo, Yongchao Liu, Hui Zhang +5

Gaze estimation for ordinary smart phone, e.g. estimating where the user is looking at on the phone screen, can be applied in various applications. However, the widely used appeara…

cs.CV2017★ 75 cited

Deep generative-contrastive networks for facial expression recognition

Youngsung Kim, ByungIn Yoo, Youngjun Kwak +2

As the expressive depth of an emotional face differs with individuals or expressions, recognizing an expression using a single facial image at a moment is difficult. A relative exp…