41 citations · 82 across the 16 of their papers we have counts for
16 papers
TransVFC: A Transformable Video Feature Compression Framework for Machines
Yuxiao Sun, Yao Zhao, Meiqin Liu +4
Nowadays, more and more video transmissions primarily aim at downstream machine vision tasks rather than humans. While widely deployed Human Visual System (HVS) oriented video codi…
SigVIC: Spatial Importance Guided Variable-Rate Image Compression
Jiaming Liang, Meiqin Liu, Chao Yao +2
Variable-rate mechanism has improved the flexibility and efficiency of learning-based image compression that trains multiple models for different rate-distortion tradeoffs. One of…
Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation with Cross-Scale Distortion Awareness
Zhijie Shen, Zishuo Zheng, Chunyu Lin +4
Based on the Manhattan World assumption, most existing indoor layout estimation schemes focus on recovering layouts from vertically compressed 1D sequences. However, the compressio…
Deep Learning for Camera Calibration and Beyond: A Survey
Kang Liao, Lang Nie, Shujuan Huang +5
Camera calibration involves estimating camera parameters to infer geometric features from captured sequences, which is crucial for computer vision and robotics. However, convention…
Unsupervised OmniMVS: Efficient Omnidirectional Depth Inference via Establishing Pseudo-Stereo Supervision
Zisong Chen, Chunyu Lin, Lang Nie +2
Omnidirectional multi-view stereo (MVS) vision is attractive for its ultra-wide field-of-view (FoV), enabling machines to perceive 360° 3D surroundings. However, the existing solut…
Spatiotemporal Deformation Perception for Fisheye Video Rectification
Shangrong Yang, Chunyu Lin, Kang Liao +1
Although the distortion correction of fisheye images has been extensively studied, the correction of fisheye videos is still an elusive challenge. For different frames of the fishe…
Dual Diffusion Architecture for Fisheye Image Rectification: Synthetic-to-Real Generalization
Shangrong Yang, Chunyu Lin, Kang Liao +1
Fisheye image rectification has a long-term unresolved issue with synthetic-to-real generalization. In most previous works, the model trained on the synthetic images obtains unsati…
RecRecNet: Rectangling Rectified Wide-Angle Images by Thin-Plate Spline Model and DoF-based Curriculum Learning
Kang Liao, Lang Nie, Chunyu Lin +2
The wide-angle lens shows appealing applications in VR technologies, but it introduces severe radial distortion into its captured image. To recover the realistic scene, previous wo…
Temporal Consistency Learning of inter-frames for Video Super-Resolution
Meiqin Liu, Shuo Jin, Chao Yao +2
Video super-resolution (VSR) is a task that aims to reconstruct high-resolution (HR) frames from the low-resolution (LR) reference frame and multiple neighboring frames. The vital…
An Inductive Construction for Many-Valued Coalgebraic Modal Logic
Chun-Yu Lin, Churn-Jung Liau
In this paper, we present an abstract framework of many-valued modal logic with the interpretation of atomic propositions and modal operators as predicate lifting over coalgebras f…
JNMR: Joint Non-linear Motion Regression for Video Frame Interpolation
Meiqin Liu, Chenming Xu, Chao Yao +2
Video frame interpolation (VFI) aims to generate predictive frames by warping learnable motions from the bidirectional historical references. Most existing works utilize spatio-tem…
Many-Valued Coalgebraic Modal Logic: One-step Completeness and Finite Model Property
Chun-Yu Lin, Churn-Jung Liau
In this paper, we investigate the many-valued version of coalgebraic modal logic through predicate lifting approach. Coalgebras, understood as generic transition systems, can serve…
A Deep Ordinal Distortion Estimation Approach for Distortion Rectification
Kang Liao, Chunyu Lin, Yao Zhao
Distortion is widely existed in the images captured by popular wide-angle cameras and fisheye cameras. Despite the long history of distortion rectification, accurately estimating t…
Pseudo-LiDAR Point Cloud Interpolation Based on 3D Motion Representation and Spatial Supervision
Haojie Liu, Kang Liao, Chunyu Lin +2
Pseudo-LiDAR point cloud interpolation is a novel and challenging task in the field of autonomous driving, which aims to address the frequency mismatching problem between camera an…
PLIN: A Network for Pseudo-LiDAR Point Cloud Interpolation
Haojie Liu, Kang Liao, Chunyu Lin +2
LiDAR sensors can provide dependable 3D spatial information at a low frequency (around 10Hz) and have been widely applied in the field of autonomous driving and UAV. However, the c…
Adaptive Streaming in Interactive Multiview Video Systems
Xue Zhang, Laura Toni, Pascal Frossard +2
Multiview applications endow final users with the possibility to freely navigate within 3D scenes with minimum-delay. A real feeling of scene navigation is enabled by transmitting…