12 citations · 41 across the 34 of their papers we have counts for
9 papers · 1 filter
Beyond the Field-of-View: Enhancing Scene Visibility and Perception with Clip-Recurrent Transformer
Hao Shi, Qi Jiang, Kailun Yang +3
Vision sensors are widely applied in vehicles, robots, and roadside infrastructure. However, due to limitations in hardware cost and system size, camera Field-of-View (FoV) is ofte…
Computational Imaging for Machine Perception: Transferring Semantic Segmentation beyond Aberrations
Qi Jiang, Hao Shi, Shaohua Gao +5
Semantic scene understanding with Minimalist Optical Systems (MOS) in mobile and wearable applications remains a challenge due to the corrupted imaging quality induced by optical a…
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation
Jiaming Zhang, Kailun Yang, Hao Shi +7
In this paper, we address panoramic semantic segmentation which is under-explored due to two critical challenges: (1) image distortions and object deformations on panoramas; (2) la…
Annular Computational Imaging: Capture Clear Panoramic Images through Simple Lens
Qi Jiang, Hao Shi, Lei Sun +3
Panoramic Annular Lens (PAL) composed of few lenses has great potential in panoramic surrounding sensing tasks for mobile and wearable devices because of its tiny size and large Fi…
Efficient Human Pose Estimation via 3D Event Point Cloud
Jiaan Chen, Hao Shi, Yaozu Ye +3
Human Pose Estimation (HPE) based on RGB images has experienced a rapid development benefiting from deep learning. However, event-based HPE has not been fully studied, which remain…
Review on Panoramic Imaging and Its Applications in Scene Understanding
Shaohua Gao, Kailun Yang, Hao Shi +2
With the rapid development of high-speed communication and artificial intelligence technologies, human perception of real-world scenes is no longer limited to the use of small Fiel…
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous Driving
Hao Shi, Yifan Zhou, Kailun Yang +2
Optical flow estimation is an essential task in self-driving systems, which helps autonomous vehicles perceive temporal continuity information of surrounding scenes. The calculatio…
PanoFlow: Learning 360° Optical Flow for Surrounding Temporal Understanding
Hao Shi, Yifan Zhou, Kailun Yang +7
Optical flow estimation is a basic task in self-driving and robotics systems, which enables to temporally interpret traffic scenes. Autonomous vehicles clearly benefit from the ult…
LF-VIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras with Negative Plane
Ze Wang, Kailun Yang, Hao Shi +3
Visual-inertial-odometry has attracted extensive attention in the field of autonomous driving and robotics. The size of Field of View (FoV) plays an important role in Visual-Odomet…