Search Results for author:
Found 14 papers, 3 papers with code
Weighted Bilinear Coding over Salient Body Parts for Person Re-identification
Meanwhile, a weighting scheme is applied on the bilinear coding to adaptively adjust the weights of local features at different locations based on their importance in recognition, further improving the discriminability of feature aggregation.
Graph Correspondence Transfer for Person Re-identification
In this paper, we propose a graph correspondence transfer (GCT) approach for person re-identification.
Robust and Efficient Graph Correspondence Transfer for Person Re-identification
To address this problem, in this paper, we present a robust and efficient graph correspondence transfer (REGCT) approach for explicit spatial alignment in Re-ID.
Learning to Self-Train for Semi-Supervised Few-Shot Classification
On each task, we train a few-shot model to predict pseudo labels for unlabeled data, and then iterate the self-training steps on labeled and pseudo-labeled data with each step followed by fine-tuning.
Distribution Context Aware Loss for Person Re-identification
To learn the optimal similarity function between probe and gallery images in Person re-identification, effective deep metric learning methods have been extensively explored to obtain discriminative feature embedding.
Signature of multilayer graphene strain-controlled domain walls in quantum Hall effect
Reversible and controlled uniaxial strain triggers these topological defects, manifested as new quantum Hall effect plateaus as well as a discrete and reversible modulation of the current across the device.
Mesoscale and Nanoscale Physics
Analysis of a discretization of a distributed control problem with a stochastic evolution equation
This paper analyzes a discretization of a stochastic parabolic optimal control problem, where the diffusion term contains the control variable.
Numerical Analysis Numerical Analysis Optimization and Control
Random vector functional link neural network based ensemble deep learning for short-term load forecasting
Electricity load forecasting is crucial for the power systems' planning and maintenance.
Making Person Search Enjoy the Merits of Person Re-identification
In the proposed TDN, for better knowledge transfer from the Re-ID teacher model to the one-step person search model, we design a strong one-step person search base framework by partially disentangling the two subtasks.
Subtask-dominated Transfer Learning for Long-tail Person Search
One major challenge comes from the imbalanced long-tail person identity distributions, which prevents the one-step person search model from learning discriminative person features for the final re-identification.
Seq-Masks: Bridging the gap between appearance and gait modeling for video-based person re-identification
Validations on the gait recognition metric CASIA-B dataset further demonstrated the capability of our hybrid model.
KiPA22 Report: U-Net with Contour Regularization for Renal Structures Segmentation
Three-dimensional (3D) integrated renal structures (IRS) segmentation is important in clinical practice.
Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter
The pre-trained text-image discriminative models, such as CLIP, has been explored for open-vocabulary semantic segmentation with unsatisfactory results due to the loss of crucial localization information and awareness of object shapes.
Attention Calibration for Disentangled Text-to-Image Personalization
However, an intriguing problem persists: Is it possible to capture multiple, novel concepts from one single reference image?
