Search Results for author:
Found 22 papers, 14 papers with code
Exposure Completing for Temporally Consistent Neural High Dynamic Range Video Rendering
Combining the interpolated and given LDR frames, the complete set of exposure information is available at each time stamp.
Pseudo-Labeling by Multi-Policy Viewfinder Network for Image Cropping
This idea can be implemented in a pseudo-labeling way: producing pseudo labels for unlabeled data by a teacher model and training a student model with these pseudo labels.
Camera-LiDAR Cross-modality Gait Recognition
In this work, we propose the first cross-modality gait recognition framework between Camera and LiDAR, namely CL-Gait.
Instance Consistency Regularization for Semi-Supervised 3D Instance Segmentation
To leverage unlabeled data, previous semi-supervised 3D instance segmentation approaches have explored self-training frameworks, which rely on high-quality pseudo labels for consistency regularization.
Robust Stable Spiking Neural Networks
We present that membrane potential perturbation dynamics can reliably convey the intensity of perturbation.
Joint Identity Verification and Pose Alignment for Partial Fingerprints
Currently, portable electronic devices are becoming more and more popular.
Latent Fingerprint Matching via Dense Minutia Descriptor
Latent fingerprint matching is a daunting task, primarily due to the poor quality of latent fingerprints.
Sports Analysis and VR Viewing System Based on Player Tracking and Pose Estimation with Multimodal and Multiview Sensors
The visualization results showcase the immense potential of our sports visualization system on the domain of watching games on VR/AR devices.
Converting High-Performance and Low-Latency SNNs through Explicit Modelling of Residual Error in ANNs
One of the mainstream approaches to implementing deep SNNs is the ANN-SNN conversion, which integrates the efficient training strategy of ANNs with the energy-saving potential and fast inference capability of SNNs.
Geometry-aware Reconstruction and Fusion-refined Rendering for Generalizable Neural Radiance Fields
We incorporate the above ACA, SVA, and CAF into a coarse-to-fine framework, termed Geometry-aware Reconstruction and Fusion-refined Rendering (GeFu).
Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations
To this end, we explore the feasibility of self-supervised motion prediction with only unlabeled LiDAR point clouds.
Semi-Supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMix
To improve the quality of pseudo labels, we propose a novel motion selection and re-generation module.
LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-frame 3D Human Pose Estimation
Several methods have been proposed to estimate 3D human pose from multi-view images, achieving satisfactory performance on public datasets collected under relatively simple conditions.
HumanReg: Self-supervised Non-rigid Registration of Human Point Cloud
In this paper, we present a novel registration framework, HumanReg, that learns a non-rigid transformation between two human point clouds end-to-end.
LiDAR-based Person Re-identification
Camera-based person re-identification (ReID) systems have been widely applied in the field of public security.
Fixed-length Dense Descriptor for Efficient Fingerprint Matching
In fingerprint matching, fixed-length descriptors generally offer greater efficiency compared to minutiae set, but the recognition accuracy is not as good as that of the latter.
When Epipolar Constraint Meets Non-local Operators in Multi-View Stereo
This constraint reduces the 2D search space into the epipolar line in stereo matching.
Ranked #4 on
3D Reconstruction
on DTU
Lens-to-lens bokeh effect transformation. NTIRE 2023 challenge report
We present the new Bokeh Effect Transformation Dataset (BETD), and review the proposed solutions for this novel task at the NTIRE 2023 Bokeh Effect Transformation Challenge.
Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression
Observing that similar composition patterns tend to be shared by the cropping boundaries annotated nearly, we argue to find the beauty of composition from the rare samples by clustering the samples with similar cropping boundary annotations, ie, similar composition patterns.
Design What You Desire: Icon Generation from Orthogonal Application and Theme Labels
Generative adversarial networks (GANs) have been trained to be professional artists able to create stunning artworks such as face generation and image style transfer.
Less is More: Consistent Video Depth Estimation with Masked Frames Modeling
Temporal consistency is the key challenge of video depth estimation.
TransView: Inside, Outside, and Across the Cropping View Boundaries
We show that relation modeling between visual elements matters in cropping view recommendation.
