25 citations · 33 across the 9 of their papers we have counts for
9 papers
BPKD: Boundary Privileged Knowledge Distillation For Semantic Segmentation
Liyang Liu, Zihan Wang, Minh Hieu Phan +3
Current knowledge distillation approaches in semantic segmentation tend to adopt a holistic approach that treats all spatial locations equally. However, for dense prediction, stude…
SegViTv2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers
Bowen Zhang, Liyang Liu, Minh Hieu Phan +3
This paper investigates the capability of plain Vision Transformers (ViTs) for semantic segmentation using the encoder-decoder framework and introduces \textbf{SegViTv2}. In this s…
Group R-CNN for Weakly Semi-supervised Object Detection with Points
Shilong Zhang, Zhuoran Yu, Liyang Liu +3
We study the problem of weakly semi-supervised object detection with points (WSSOD-P), where the training data is combined by a small set of fully annotated images with bounding bo…
Object-Aware Self-supervised Multi-Label Learning
Xu Kaixin, Liu Liyang, Zhao Ziyuan +2
Multi-label Learning on Image data has been widely exploited with deep learning models. However, supervised training on deep CNN models often cannot discover sufficient discriminat…
Pseudo-mask Matters in Weakly-supervised Semantic Segmentation
Yi Li, Zhanghui Kuang, Liyang Liu +2
Most weakly supervised semantic segmentation (WSSS) methods follow the pipeline that generates pseudo-masks initially and trains the segmentation model with the pseudo-masks in ful…
Group Fisher Pruning for Practical Network Compression
Liyang Liu, Shilong Zhang, Zhanghui Kuang +7
Network compression has been widely studied since it is able to reduce the memory and computation cost during inference. However, previous methods seldom deal with complicated stru…
Active and Interactive Mapping with Dynamic Gaussian Process Implicit Surfaces for Mobile Manipulators
Liyang Liu, Simon Fryc, Lan Wu +3
In this letter, we present an interactive probabilistic mapping framework for a mobile manipulator picking objects from a pile. The aim is to map the scene, actively decide where t…
Faithful Euclidean Distance Field from Log-Gaussian Process Implicit Surfaces
Lan Wu, Ki Myung Brian Lee, Liyang Liu +1
In this letter, we introduce the Log-Gaussian Process Implicit Surface (Log-GPIS), a novel continuous and probabilistic mapping representation suitable for surface reconstruction a…
Parallax Bundle Adjustment on Manifold with Convexified Initialization
Liyang Liu, Teng Zhang, Yi Liu +4
Bundle adjustment (BA) with parallax angle based feature parameterization has been shown to have superior performance over BA using inverse depth or XYZ feature forms. In this pape…