Chunyu Lin
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View article: Advancing Real-World Parking Slot Detection with Large-Scale Dataset and Semi-Supervised Baseline
Advancing Real-World Parking Slot Detection with Large-Scale Dataset and Semi-Supervised Baseline Open
As automatic parking systems evolve, the accurate detection of parking slots has become increasingly critical. This study focuses on parking slot detection using surround-view cameras, which offer a comprehensive bird's-eye view of the par…
View article: Robust Image Stitching with Optimal Plane
Robust Image Stitching with Optimal Plane Open
We present \textit{RopStitch}, an unsupervised deep image stitching framework with both robustness and naturalness. To ensure the robustness of \textit{RopStitch}, we propose to incorporate the universal prior of content perception into th…
View article: TransVFC: A transformable video feature compression framework for machines
TransVFC: A transformable video feature compression framework for machines Open
View article: StabStitch++: Unsupervised Online Video Stitching with Spatiotemporal Bidirectional Warps
StabStitch++: Unsupervised Online Video Stitching with Spatiotemporal Bidirectional Warps Open
We retarget video stitching to an emerging issue, named warping shake, which unveils the temporal content shakes induced by sequentially unsmooth warps when extending image stitching to video stitching. Even if the input videos are stable,…
View article: You Need a Transition Plane: Bridging Continuous Panoramic 3D Reconstruction with Perspective Gaussian Splatting
You Need a Transition Plane: Bridging Continuous Panoramic 3D Reconstruction with Perspective Gaussian Splatting Open
Recently, reconstructing scenes from a single panoramic image using advanced 3D Gaussian Splatting (3DGS) techniques has attracted growing interest. Panoramic images offer a 360$\times$ 180 field of view (FoV), capturing the entire scene i…
View article: Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation
Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation Open
In this paper, we propose Jasmine, the first Stable Diffusion (SD)-based self-supervised framework for monocular depth estimation, which effectively harnesses SD's visual priors to enhance the sharpness and generalization of unsupervised p…
View article: Defect Detection in Freight Trains Using a Lightweight and Effective Multi-Scale Fusion Framework with Knowledge Distillation
Defect Detection in Freight Trains Using a Lightweight and Effective Multi-Scale Fusion Framework with Knowledge Distillation Open
The safe operation of freight train equipment is crucial to the stability of the transportation system. With the advancement of intelligent monitoring technology, vision-based anomaly detection methods have gradually become an essential ap…
View article: FishFormer: Annulus Slicing-based Transformer for Fisheye Rectification
FishFormer: Annulus Slicing-based Transformer for Fisheye Rectification Open
Numerous significant progress on fisheye image rectification has been achieved through CNN. Nevertheless, constrained by a fixed receptive field, the global distribution and the local symmetry of the distortion have not been fully exploite…
View article: What Really Matters for Learning-based LiDAR-Camera Calibration
What Really Matters for Learning-based LiDAR-Camera Calibration Open
Calibration is an essential prerequisite for the accurate data fusion of LiDAR and camera sensors. Traditional calibration techniques often require specific targets or suitable scenes to obtain reliable 2D-3D correspondences. To tackle the…
View article: Revisiting Monocular 3D Object Detection with Depth Thickness Field
Revisiting Monocular 3D Object Detection with Depth Thickness Field Open
Monocular 3D object detection is challenging due to the lack of accurate depth. However, existing depth-assisted solutions still exhibit inferior performance, whose reason is universally acknowledged as the unsatisfactory accuracy of monoc…
View article: CurrI2P: Inter- and Intra-Modality Similarity Curriculum Learning for Image-to-Point Cloud Registration
CurrI2P: Inter- and Intra-Modality Similarity Curriculum Learning for Image-to-Point Cloud Registration Open
Image-to-point cloud (I2P) registration aims to align 2D images and 3D point clouds within the same scene. However, existing methods neglect the differences in learning difficulties among different samples, failing to bridge the image-to-p…
View article: Toward Oriented Fisheye Object Detection: Dataset and Baseline
Toward Oriented Fisheye Object Detection: Dataset and Baseline Open
Fisheye object detection is challenging due to the fisheye distortion, which inclines objects to different extents and pushes extensive irrelevant pixels into the predicted horizontal bounding box (HBB). To address the problems above, we e…
View article: Digging into Contrastive Learning for Robust Depth Estimation with Diffusion Models
Digging into Contrastive Learning for Robust Depth Estimation with Diffusion Models Open
Recently, diffusion-based depth estimation methods have drawn widespread\nattention due to their elegant denoising patterns and promising performance.\nHowever, they are typically unreliable under adverse conditions prevalent in\nreal-worl…
View article: Remaining Useful Life Prediction of Rolling Bearings Based on Time-Frequency Enhanced Transformer Model
Remaining Useful Life Prediction of Rolling Bearings Based on Time-Frequency Enhanced Transformer Model Open
Deep learning has achieved a lot of progress in predicting Remaining Useful Life (RUL). However, contemporary deep learning frameworks face inherent limitations, including constrained receptive fields, difficulties in capturing long-term d…
View article: Validating Large-Scale Quantum Machine Learning: Efficient Simulation of Quantum Support Vector Machines Using Tensor Networks
Validating Large-Scale Quantum Machine Learning: Efficient Simulation of Quantum Support Vector Machines Using Tensor Networks Open
We present an efficient tensor-network-based approach for simulating large-scale quantum circuits, demonstrated using Quantum Support Vector Machines (QSVMs). Our method effectively reduces exponential runtime growth to near-quadratic scal…
View article: Eliminating Warping Shakes for Unsupervised Online Video Stitching
Eliminating Warping Shakes for Unsupervised Online Video Stitching Open
In this paper, we retarget video stitching to an emerging issue, named warping shake, when extending image stitching to video stitching. It unveils the temporal instability of warped content in non-overlapping regions, despite image stitch…
View article: Deep-computer-generated holography with temporal-focusing and a digital propagation matrix for rapid 3D multiphoton stimulation
Deep-computer-generated holography with temporal-focusing and a digital propagation matrix for rapid 3D multiphoton stimulation Open
Deep learning-based computer-generated holography (DeepCGH) has the ability to generate three-dimensional multiphoton stimulation nearly 1,000 times faster than conventional CGH approaches such as the Gerchberg-Saxton (GS) iterative algori…
View article: Adapsyn: Anomaly Detection Based on Triplet Training with Adaptive Anomaly Synthesis (Chinamm2024)
Adapsyn: Anomaly Detection Based on Triplet Training with Adaptive Anomaly Synthesis (Chinamm2024) Open
View article: Clinical Outcomes of Laser Hemorrhoidoplasty with Feeding Vessels Suture Ligation. A Retrospective Study in a Single Center
Clinical Outcomes of Laser Hemorrhoidoplasty with Feeding Vessels Suture Ligation. A Retrospective Study in a Single Center Open
Background Laser hemorrhoidoplasty has demonstrated significant therapeutic effectiveness. In order to diminish postoperative bleeding and enhance overall outcomes, we have additionally adopted suture-ligating the feeding vessels. This stu…
View article: WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions
WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions Open
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. In this paper, we propose WeatherDepth, a self-supervised…
View article: Developing a Robotic Surgical Platform Is Beneficial to the Implementation of the ERAS Program for Colorectal Surgery: An Outcome and Learning Curve Analysis
Developing a Robotic Surgical Platform Is Beneficial to the Implementation of the ERAS Program for Colorectal Surgery: An Outcome and Learning Curve Analysis Open
Background: Robotic surgery and ERAS protocol care are both prominent developments and have each become global trends. However, the effects and learning curves of combining robotic surgery and ERAS care in colorectal resection have not yet…
View article: Freeform Graphene Oxide-Quantum Dot Microstructures via Multiphoton Crosslinking
Freeform Graphene Oxide-Quantum Dot Microstructures via Multiphoton Crosslinking Open
View article: Dual Diffusion Architecture for Fisheye Image Rectification: Synthetic-to-Real Generalization
Dual Diffusion Architecture for Fisheye Image Rectification: Synthetic-to-Real Generalization Open
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 unsatisfactory performance on the real-world fisheye image. To th…
View article: Dual-resonant scanning multiphoton microscope with ultrasound lens and resonant mirror for rapid volumetric imaging
Dual-resonant scanning multiphoton microscope with ultrasound lens and resonant mirror for rapid volumetric imaging Open
View article: Learning curve and surgical outcome of robotic assisted colorectal surgery with ERAS program
Learning curve and surgical outcome of robotic assisted colorectal surgery with ERAS program Open
View article: One-step metallization of weft-knitted fabrics for wearable biaxial strain sensors
One-step metallization of weft-knitted fabrics for wearable biaxial strain sensors Open
View article: Light-field microscopy with temporal focusing multiphoton illumination for scanless volumetric bioimaging
Light-field microscopy with temporal focusing multiphoton illumination for scanless volumetric bioimaging Open
A temporal focusing multiphoton illumination (TFMI) method is proposed for achieving selective volume illumination (SVI) (i.e., illuminating only the volume of interest) in light-field microscopy (LFM). The proposed method minimizes the ba…
View article: Dual-resonant scanning multiphoton microscope with ultrasound lens and resonant mirror for rapid volumetric imaging
Dual-resonant scanning multiphoton microscope with ultrasound lens and resonant mirror for rapid volumetric imaging Open
A dual-resonant scanning multiphoton (DRSM) microscope incorporating a tunable acoustic gradient index of refraction lens and a resonant mirror is developed for high-speed volumetric imaging. In the proposed microscope, the pulse train sig…
View article: Three-dimensional-generator U-net for dual-resonant scanning multiphoton microscopy image inpainting and denoising
Three-dimensional-generator U-net for dual-resonant scanning multiphoton microscopy image inpainting and denoising Open
A dual-resonant scanning multiphoton (DRSM) microscope incorporating a tunable acoustic gradient index of refraction lens and a resonant mirror is developed for rapid volumetric bioimaging. It is shown that the microscope achieves a volume…
View article: Temporal Consistency Learning of Inter-Frames for Video Super-Resolution
Temporal Consistency Learning of Inter-Frames for Video Super-Resolution Open
Video super-resolution (VSR) is a task that aims to reconstruct\nhigh-resolution (HR) frames from the low-resolution (LR) reference frame and\nmultiple neighboring frames. The vital operation is to utilize the relative\nmisaligned frames f…