activity
20192026
most citedDeep Rectangling for Image Stitching: A Learning Baseline

74 citations · 287 across the 43 of their papers we have counts for

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Showing 2023Show all

11 papers · 1 filter

cs.CV2023

Camera calibration for the surround-view system: a benchmark and dataset

L Qin, C Lin, S Huang +2

Surround-view system (SVS) is widely used in the Advanced Driver Assistance System (ADAS). SVS uses four fisheye lenses to monitor real-time scenes around the vehicle. However, acc…

cs.CV2023★ 3 cited

360 Layout Estimation via Orthogonal Planes Disentanglement and Multi-view Geometric Consistency Perception

Zhijie Shen, Chunyu Lin, Junsong Zhang +3

Existing panoramic layout estimation solutions tend to recover room boundaries from a vertically compressed sequence, yielding imprecise results as the compression process often mu…

cs.CV2023★ 1 cited

WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions

Jiyuan Wang, Chunyu Lin, Lang Nie +4

Depth estimation models have shown promising performance on clear scenes but fail to generalize to adverse weather conditions due to illumination variations, weather particles, etc…

eess.IV2023

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…

cs.CV2023

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…

cs.CV2023★ 27 cited

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…

cs.CV2023

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…

cs.CV2023

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…

cs.CV2023★ 10 cited

Parallax-Tolerant Unsupervised Deep Image Stitching

Lang Nie, Chunyu Lin, Kang Liao +2

Traditional image stitching approaches tend to leverage increasingly complex geometric features (point, line, edge, etc.) for better performance. However, these hand-crafted featur…

cs.CV2023★ 2 cited

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…

cs.CV2023★ 4 cited

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…