Search Results for author: Beibei Lin

Found 10 papers, 3 papers with code

NightHaze: Nighttime Image Dehazing via Self-Prior Learning

no code implementations12 Mar 2024 Beibei Lin, Yeying Jin, Wending Yan, Wei Ye, Yuan Yuan, Robby T. Tan

By increasing the noise values to approach as high as the pixel intensity values of the glow and light effect blended images, our augmentation becomes severe, resulting in stronger priors.

Image Dehazing Image Enhancement

NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction

no code implementations1 Jan 2024 Beibei Lin, Yeying Jin, Wending Yan, Wei Ye, Yuan Yuan, Shunli Zhang, Robby Tan

However, the intricacies of the real world, particularly with the presence of light effects and low-light regions affected by noise, create significant domain gaps, hampering synthetic-trained models in removing rain streaks properly and leading to over-saturation and color shifts.

Rain Removal

Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution

1 code implementation3 Aug 2023 Yeying Jin, Beibei Lin, Wending Yan, Yuan Yuan, Wei Ye, Robby T. Tan

In this paper, we enhance the visibility from a single nighttime haze image by suppressing glow and enhancing low-light regions.

Uncertainty-aware Gait Recognition via Learning from Dirichlet Distribution-based Evidence

no code implementations15 Nov 2022 Beibei Lin, Chen Liu, Ming Wang, Lincheng Li, Shunli Zhang, Robby T. Tan, Xin Yu

Existing gait recognition frameworks retrieve an identity in the gallery based on the distance between a probe sample and the identities in the gallery.

Gait Recognition Retrieval

GaitGL: Learning Discriminative Global-Local Feature Representations for Gait Recognition

2 code implementations2 Aug 2022 Beibei Lin, Shunli Zhang, Ming Wang, Lincheng Li, Xin Yu

GFR extractor aims to extract contextual information, e. g., the relationship among various body parts, and the mask-based LFR extractor is presented to exploit the detailed posture changes of local regions.

Gait Recognition

GaitStrip: Gait Recognition via Effective Strip-based Feature Representations and Multi-Level Framework

1 code implementation8 Mar 2022 Ming Wang, Beibei Lin, Xianda Guo, Lincheng Li, Zheng Zhu, Jiande Sun, Shunli Zhang, Xin Yu

ECM consists of the Spatial-Temporal feature extractor (ST), the Frame-Level feature extractor (FL) and SPB, and has two obvious advantages: First, each branch focuses on a specific representation, which can be used to improve the robustness of the network.

Gait Recognition

Gait Recognition with Mask-based Regularization

no code implementations8 Mar 2022 Chuanfu Shen, Beibei Lin, Shunli Zhang, George Q. Huang, Shiqi Yu, Xin Yu

Also, we design an Inception-like ReverseMask Block, which has three branches composed of a global branch, a feature dropping branch, and a feature scaling branch.

Multiview Gait Recognition

Gait Recognition via Effective Global-Local Feature Representation and Local Temporal Aggregation

no code implementations ICCV 2021 Beibei Lin, Shunli Zhang, Xin Yu

Towards this goal, we take advantage of both global visual information and local region details and develop a Global and Local Feature Extractor (GLFE).

Gait Recognition

Cannot find the paper you are looking for? You can Submit a new open access paper.