27 citations · 80 across the 96 of their papers we have counts for
7 papers · 1 filter
Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning
Kunyu Peng, Alina Roitberg, David Schneider +3
Human affect recognition is a well-established research area with numerous applications, e.g., in psychological care, but existing methods assume that all emotions-of-interest are…
Transfer beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation
Jiaming Zhang, Chaoxiang Ma, Kailun Yang +3
Autonomous vehicles clearly benefit from the expanded Field of View (FoV) of 360-degree sensors, but modern semantic segmentation approaches rely heavily on annotated training data…
Trans4Trans: Efficient Transformer for Transparent Object and Semantic Scene Segmentation in Real-World Navigation Assistance
Jiaming Zhang, Kailun Yang, Angela Constantinescu +3
Transparent objects, such as glass walls and doors, constitute architectural obstacles hindering the mobility of people with low vision or blindness. For instance, the open space b…
Trans4Trans: Efficient Transformer for Transparent Object Segmentation to Help Visually Impaired People Navigate in the Real World
Jiaming Zhang, Kailun Yang, Angela Constantinescu +3
Common fully glazed facades and transparent objects present architectural barriers and impede the mobility of people with low vision or blindness, for instance, a path detected beh…
HIDA: Towards Holistic Indoor Understanding for the Visually Impaired via Semantic Instance Segmentation with a Wearable Solid-State LiDAR Sensor
Huayao Liu, Ruiping Liu, Kailun Yang +3
Independently exploring unknown spaces or finding objects in an indoor environment is a daily but challenging task for visually impaired people. However, common 2D assistive system…
MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding
Kunyu Peng, Juncong Fei, Kailun Yang +6
At the heart of all automated driving systems is the ability to sense the surroundings, e.g., through semantic segmentation of LiDAR sequences, which experienced a remarkable progr…
PillarSegNet: Pillar-based Semantic Grid Map Estimation using Sparse LiDAR Data
Juncong Fei, Kunyu Peng, Philipp Heidenreich +2
Semantic understanding of the surrounding environment is essential for automated vehicles. The recent publication of the SemanticKITTI dataset stimulates the research on semantic s…