4 citations · 9 across the 6 of their papers we have counts for
6 papers
Towards Accurate Facial Landmark Detection via Cascaded Transformers
Hui Li, Zidong Guo, Seon-Min Rhee +2
Accurate facial landmarks are essential prerequisites for many tasks related to human faces. In this paper, an accurate facial landmark detector is proposed based on cascaded trans…
Pushing the Performance Limit of Scene Text Recognizer without Human Annotation
Caiyuan Zheng, Hui Li, Seon-Min Rhee +3
Scene text recognition (STR) attracts much attention over the years because of its wide application. Most methods train STR model in a fully supervised manner which requires large…
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…
Self-Reorganizing and Rejuvenating CNNs for Increasing Model Capacity Utilization
Wissam J. Baddar, Seungju Han, Seonmin Rhee +1
In this paper, we propose self-reorganizing and rejuvenating convolutional neural networks; a biologically inspired method for improving the computational resource utilization of n…
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…
Learning to Quantize Deep Networks by Optimizing Quantization Intervals with Task Loss
Sangil Jung, Changyong Son, Seohyung Lee +5
Reducing bit-widths of activations and weights of deep networks makes it efficient to compute and store them in memory, which is crucial in their deployments to resource-limited de…