178 citations · 569 across the 193 of their papers we have counts for
18 papers · 1 filter
Exploring Event-driven Dynamic Context for Accident Scene Segmentation
Jiaming Zhang, Kailun Yang, Rainer Stiefelhagen
The robustness of semantic segmentation on edge cases of traffic scene is a vital factor for the safety of intelligent transportation. However, most of the critical scenes of traff…
Event-Based Fusion for Motion Deblurring with Cross-modal Attention
Lei Sun, Christos Sakaridis, Jingyun Liang +6
Traditional frame-based cameras inevitably suffer from motion blur due to long exposure times. As a kind of bio-inspired camera, the event camera records the intensity changes in a…
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…
Panoramic Depth Estimation via Supervised and Unsupervised Learning in Indoor Scenes
Keyang Zhou, Kailun Yang, Kaiwei Wang
Depth estimation, as a necessary clue to convert 2D images into the 3D space, has been applied in many machine vision areas. However, to achieve an entire surrounding 360-degree ge…
Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation
Haobin Tan, Chang Chen, Xinyu Luo +4
Lacking the ability to sense ambient environments effectively, blind and visually impaired people (BVIP) face difficulty in walking outdoors, especially in urban areas. Therefore,…
DensePASS: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation with Attention-Augmented Context Exchange
Chaoxiang Ma, Jiaming Zhang, Kailun Yang +2
Intelligent vehicles clearly benefit from the expanded Field of View (FoV) of the 360-degree sensors, but the vast majority of available semantic segmentation training images are c…
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…
Aerial-PASS: Panoramic Annular Scene Segmentation in Drone Videos
Lei Sun, Jia Wang, Kailun Yang +4
Aerial pixel-wise scene perception of the surrounding environment is an important task for UAVs (Unmanned Aerial Vehicles). Previous research works mainly adopt conventional pinhol…
Capturing Omni-Range Context for Omnidirectional Segmentation
Kailun Yang, Jiaming Zhang, Simon Reiß +2
Convolutional Networks (ConvNets) excel at semantic segmentation and have become a vital component for perception in autonomous driving. Enabling an all-encompassing view of street…
Perception Framework through Real-Time Semantic Segmentation and Scene Recognition on a Wearable System for the Visually Impaired
Yingzhi Zhang, Haoye Chen, Kailun Yang +2
As the scene information, including objectness and scene type, are important for people with visual impairment, in this work we present a multi-task efficient perception system for…
Panoptic Lintention Network: Towards Efficient Navigational Perception for the Visually Impaired
Wei Mao, Jiaming Zhang, Kailun Yang +1
Classic computer vision algorithms, instance segmentation, and semantic segmentation can not provide a holistic understanding of the surroundings for the visually impaired. In this…
DR-TANet: Dynamic Receptive Temporal Attention Network for Street Scene Change Detection
Shuo Chen, Kailun Yang, Rainer Stiefelhagen
Street scene change detection continues to capture researchers' interests in the computer vision community. It aims to identify the changed regions of the paired street-view images…
Panoramic Panoptic Segmentation: Towards Complete Surrounding Understanding via Unsupervised Contrastive Learning
Alexander Jaus, Kailun Yang, Rainer Stiefelhagen
In this work, we introduce panoramic panoptic segmentation as the most holistic scene understanding both in terms of field of view and image level understanding for standard camera…
Panoramic annular SLAM with loop closure and global optimization
Hao Chen, Weijian Hu, Kailun Yang +2
In this paper, we propose panoramic annular simultaneous localization and mapping (PA-SLAM), a visual SLAM system based on panoramic annular lens. A hybrid point selection strategy…