activity
20192024
most citedContrastive Registration for Unsupervised Medical Image Segmentation

12 citations · 31 across the 16 of their papers we have counts for

collaborators
Showing 2022Show all

6 papers · 1 filter

cs.CV2022★ 1 cited

TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation

Zhongying Deng, Yanqi Chen, Lihao Liu +4

Traffic flow analysis is revolutionising traffic management. Qualifying traffic flow data, traffic control bureaus could provide drivers with real-time alerts, advising the fastest…

cs.CV2022

SCOTCH and SODA: A Transformer Video Shadow Detection Framework

Lihao Liu, Jean Prost, Lei Zhu +4

Shadows in videos are difficult to detect because of the large shadow deformation between frames. In this work, we argue that accounting for shadow deformation is essential when de…

cs.CV2022

Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition through the Lens of Robustness

Yanqi Cheng, Lihao Liu, Shujun Wang +3

Surgical action triplet recognition provides a better understanding of the surgical scene. This task is of high relevance as it provides the surgeon with context-aware support and…

cs.CV2022

Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting

Lihao Liu, Chenyang Hong, Angelica I. Aviles-Rivero +1

We address the problem of automated nuclear segmentation, classification, and quantification from Haematoxylin and Eosin stained histology images, which is of great relevance for s…

cs.LG2022

LAMBDA: Covering the Solution Set of Black-Box Inequality by Search Space Quantization

Lihao Liu, Tianyue Feng, Xingyu Xing +1

Black-box functions are broadly used to model complex problems that provide no explicit information but the input and output. Despite existing studies of black-box function optimiz…

cs.CV2022★ 2 cited

PC-SwinMorph: Patch Representation for Unsupervised Medical Image Registration and Segmentation

Lihao Liu, Zhening Huang, Pietro Liò +2

Medical image registration and segmentation are critical tasks for several clinical procedures. Manual realisation of those tasks is time-consuming and the quality is highly depend…