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CasOmniMVS: Cascade Omnidirectional Depth Estimation with Dynamic Spherical Sweeping
Estimating 360° depth from multiple cameras has been a challenging problem. However, existing methods often adopt a fixed-step …
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GPTSee: Enhancing Moment Retrieval and Highlight Detection via Description-Based Similarity Features
Moment retrieval (MR) and highlight detection (HD) aim to identify relevant moments and highlights in video from corresponding natural …
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A Monocular Depth Estimation Method for Indoor-Outdoor Scenes Based on Vision Transformer
In the field of computer vision, monocular depth estimation has garnered significant attention as a research direction. However, …
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3D Associative Embedding: Multi-View 3D Human Pose Estimation in Crowded Scenes
Most of the existing multi-view multi-person 3D human pose estimation methods predict the location of each joint of one target person …
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GazeFollowTR: A Method of Gaze Following with Reborn Mechanism
Most existing 3D pose representations cannot completely decouple the overlapping two or more human joints of the same type. In this …
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MMDA: Multi-person Marginal Distribution Awareness for Monocular 3D Pose Estimation
Most existing 3D pose representations cannot completely decouple the overlapping two or more human joints of the same type. In this …
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The multi-learning for food analyses in computer vision: a survey
With the rapid development of food production and health management, analyses of food samples have been essential for preventing …
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MODE: Multi-view Omnidirectional Depth Estimation with 360° Cameras
In this paper, we propose a two-stage omnidirectional depth estimation framework with multi-view 360◦ cameras. The framework first …
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MODE: Multi-view Omnidirectional Depth Estimation with 360° Cameras
Online human action detection and anticipation in videos: A survey
To meet the demand for powerful models for practical applications in real time, the focus of research on human actions has shifted from …
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A Discussion of Optimization about Stereo Image Depth Estimation Based on Multi-baseline Trinocular Camera Model
The huge computational complexity and occlusion problems make stereo matching a major challenge. In this work, we use multi-baseline …
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