746 citations · 989 across the 12 of their papers we have counts for
12 papers
SphereSR: 360° Image Super-Resolution with Arbitrary Projection via Continuous Spherical Image Representation
Youngho Yoon, Inchul Chung, Lin Wang +1
The 360°imaging has recently gained great attention; however, its angular resolution is relatively lower than that of a narrow field-of-view (FOV) perspective image as it is captur…
BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-aided Adversarial Learning
Changgyoon Oh, Wonjune Cho, Daehee Park +3
Providing omnidirectional depth along with RGB information is important for numerous applications, eg, VR/AR. However, as omnidirectional RGB-D data is not always available, synthe…
Event-guided Deblurring of Unknown Exposure Time Videos
Taewoo Kim, Jeongmin Lee, Lin Wang +1
Motion deblurring is a highly ill-posed problem due to the loss of motion information in the blur degradation process. Since event cameras can capture apparent motion with a high t…
EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation
Lin Wang, Yujeong Chae, Sung-Hoon Yoon +2
Event cameras sense per-pixel intensity changes and produce asynchronous event streams with high dynamic range and less motion blur, showing advantages over conventional cameras. A…
Deep Learning for HDR Imaging: State-of-the-Art and Future Trends
Lin Wang, Kuk-Jin Yoon
High dynamic range (HDR) imaging is a technique that allows an extensive dynamic range of exposures, which is important in image processing, computer graphics, and computer vision.…
SiamEvent: Event-based Object Tracking via Edge-aware Similarity Learning with Siamese Networks
Yujeong Chae, Lin Wang, Kuk-Jin Yoon
Event cameras are novel sensors that perceive the per-pixel intensity changes and output asynchronous event streams, showing lots of advantages over traditional cameras, such as hi…
Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation
Lin Wang, Yujeong Chae, Kuk-Jin Yoon
Event cameras are novel sensors that perceive the per-pixel intensity changes and output asynchronous event streams with high dynamic range and less motion blur. It has been shown…
Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks
Lin Wang, Kuk-Jin Yoon
Deep neural models in recent years have been successful in almost every field, including extremely complex problem statements. However, these models are huge in size, with millions…
EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning
Lin Wang, Tae-Kyun Kim, Kuk-Jin Yoon
Event cameras sense intensity changes and have many advantages over conventional cameras. To take advantage of event cameras, some methods have been proposed to reconstruct intensi…
Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations
Lin Wang, Wonjune Cho, Kuk-Jin Yoon
Deep neural networks (DNNs) have achieved impressive performance on handling computer vision problems, however, it has been found that DNNs are vulnerable to adversarial examples.…
CoAug-MR: An MR-based Interactive Office Workstation Design System via Augmented Multi-Person Collaboration
Lin Wang, Kuk-Jin Yoon
Digital prototyping and evaluation using 3D modeling and digital human models are becoming more practical for customizing products to the preference of a user. However, the 3D mode…
Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networks
S. Mohammad Mostafavi I., Lin Wang, Yo-Sung Ho +1
Event cameras have a lot of advantages over traditional cameras, such as low latency, high temporal resolution, and high dynamic range. However, since the outputs of event cameras…