Overcoming occlusions in light field (LF) imaging is a challenging yet complex task crucial for scene understanding, image quality enhancement, and restoring visual details in obstructed scenes. This
To simulate various pod occlusion scenes and facilitate experiments under several occlusion conditions, the position of the pods was manually adjusted during placement. As for the
To address the issues of low model perception and decreased detection accuracy caused by low-light image characteristics, we designed a low-light enhancement module.
However, synthesizing novel views from new positions is challenging since occlusion in real-world scenes is complex and ubiquitous. In this paper, we describe a method for synthesizing a
This work introduces a novel Global and Local Attention Mechanism (GAL), providing an in-depth modeling method for input images, and develops a multi-head prediction module that
The occlusion estimation module detects hidden surfaces in visual scenes using specialized representations, deep architectures, and tailored loss functions for precise depth and
In gait identification, partial occlusion sometimes occurs and leads to missed identification. This paper proposes a gait identification method for partial occlusion case by using six modules and
We propose an occlusion compensation method for optical see-through head-mounted displays (OST-HMDs) equipped with a singlelayer transmissive spatial light modulator (SLM), in
Object detection algorithms can be roughly divided into two categories, two-stage detectors like Fast RCNN and one-stage detectors like YOLO. We propose an obje.
Occlusion removal in light-field images remains a significant challenge, particularly when dealing with large occlusions. An architecture based
- The framework implements realistic rendering of 3D objects, handles with geometry occlusions, matches the lighting of the environment, casts shadows, and provides physics interaction with real
The densely-connected block is a combination of the channel attention module and the global attention module. The channel attention module weights each channel according to the
In occlusion removal, the ability to capture light from various angles allows us to better understand hidden struc-tures and depth differences that traditional imaging methods might miss.
The Occlusion.esp is flagged as light plugin (ESL) automatically if possible. In case of questions or feedback, check the Skyrim TVDT - Occlusion Culling Data thread
Object detection algorithms can be roughly divided into two categories, two-stage detectors like Fast RCNN and one-stage detectors like YOLO. We propose an object detection model that works well in
We address this challenge by setting the occlusion-free center-view SAI as groundtruth, and train our DeOccNet in an end-to-end man-ner. In this way, our network can recognize occlusions from
To address these challenges, we propose an improved neck structure, SRB-FPN, to achieve fine-grained cross-level semantic alignment and feature fusion, while also optimizing the regression loss
Propose a novel EPI-based light field depth estimation method, PCRD, that simultaneously employs the online consistency and region difference information in EPIs. PCRD is highly robust
In this work, first, we propose an attention mechanism named De-occlusion attention module (DOAM), to deal with the problem of detecting prohibited items with some parts occluded in X-ray images. DOAM
However, most light field depth estimation methods rely predominantly on detecting pixel consistency across different viewpoints, which often performs poorly in complex occlusion scenarios.
Factored Occlusion: Single Spatial Light Modulator Occlusion-capable Optical See-through Augmented Reality Display IEEE Transactions on Visualization and
First, we introduce a Lighting-Occlusion Attention Module (LAM) at the output layer of the backbone network and bottleneck. This module integrates channel attention and self-attention
Description Occludes light cast by a Light2D, casting shadows. The LightOccluder2D must be provided with an OccluderPolygon2D in order for the shadow to be computed. Tutorials 2D lights and
Ambient occlusion is related to accessibility shading, which determines appearance based on how easy it is for a surface to be touched by various elements (e.g.,
A liquid crystal on silicon device is introduced as the spatial light modulator for imaging a bright see-through view and rendering sharp occlusion
To enhance driving safety under such conditions, we propose POP-YOLOv8, a customized object detection model designed specifically for detecting partially occluded pedestrian
To address these challenges, we propose LAM-YOLO, an object detection model specifically designed for drone-based. First, we introduce a light-occlusion attention mechanism to
Therefore, this research proposes a lightweight enhancement of YOLOv8m by considering two lightweight attention modules: the Learnable Occlusion-Aware Module (LOAM) and
In this paper, we ex-plore the multi-occluder occlusion model in light eld, and derive the occluder-consistency between the spatial and angular space which is used as a guidance to select the un
+34 910 257 483
Calle de la Innovación 22, 28043 Madrid, Spain
