Search Results for author:
Found 16 papers, 5 papers with code
Cascade Transformers for End-to-End Person Search
In this paper, we propose the Cascade Occluded Attention Transformer (COAT) for end-to-end person search.
Deep-Person: Learning Discriminative Deep Features for Person Re-Identification
Recently, many methods of person re-identification (Re-ID) rely on part-based feature representation to learn a discriminative pedestrian descriptor.
Hard-Aware Point-to-Set Deep Metric for Person Re-identification
Person re-identification (re-ID) is a highly challenging task due to large variations of pose, viewpoint, illumination, and occlusion.
Tri-Attention: Explicit Context-Aware Attention Mechanism for Natural Language Processing
In natural language processing (NLP), the context of a word or sentence plays an essential role.
Divide and Fuse: A Re-ranking Approach for Person Re-identification
Finally, the new features from the same image are fused into one vector for re-ranking.
Better Together: Joint Reasoning for Non-rigid 3D Reconstruction with Specularities and Shading
We demonstrate the use of shape-from-shading (SfS) to improve both the quality and the robustness of 3D reconstruction of dynamic objects captured by a single camera.
Solving Jigsaw Puzzles with Linear Programming
We propose a novel Linear Program (LP) based formula- tion for solving jigsaw puzzles.
Direct, Dense, and Deformable: Template-Based Non-Rigid 3D Reconstruction From RGB Video
In contrast, our method makes use of a single RGB video as input; it can capture the deformations of generic shapes; and the depth estimation is dense, per-pixel and direct.
Data-Driven Distributed State Estimation and Behavior Modeling in Sensor Networks
Nowadays, the prevalence of sensor networks has enabled tracking of the states of dynamic objects for a wide spectrum of applications from autonomous driving to environmental monitoring and urban planning.
Hidden-symmetry-enforced nexus points of nodal lines in layer-stacked dielectric photonic crystals
It was recently demonstrated that the connectivities of bands emerging from zero frequency in dielectric photonic crystals are distinct from their electronic counterparts with the same space groups.
Optics Mesoscale and Nanoscale Physics
Towards Robust Human Trajectory Prediction in Raw Videos
Human trajectory prediction has received increased attention lately due to its importance in applications such as autonomous vehicles and indoor robots.
Word Sense Disambiguation with Knowledge-Enhanced and Local Self-Attention-based Extractive Sense Comprehension
Word sense disambiguation (WSD), identifying the most suitable meaning of ambiguous words in the given contexts according to a predefined sense inventory, is one of the most classical and challenging tasks in natural language processing.
NeRF-Enhanced Outpainting for Faithful Field-of-View Extrapolation
In various applications, such as robotic navigation and remote visual assistance, expanding the field of view (FOV) of the camera proves beneficial for enhancing environmental perception.
Progressive Feature Fusion Network for Enhancing Image Quality Assessment
To capture the subtle differences, a fine-grained network is adopted to acquire multi-scale features.
MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation
The task of single-source domain generalization (SDG) in medical image segmentation is crucial due to frequent domain shifts in clinical image datasets.
WIA-LD2ND: Wavelet-based Image Alignment for Self-supervised Low-Dose CT Denoising
Second, to better capture high-frequency components and detailed information, Frequency-Aware Multi-scale Loss (FAM) is proposed by effectively utilizing multi-scale feature space.
