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A Optical Flow-Based Fight Behavior Detection Method for Campus Scene
Campuses contain a large number of facilities that must all be monitored to ensure security. However, most of the existing video surveillance needs...
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Multi-perspective convolutional neural networks for citywide crowd flow prediction
Crowd flow prediction is an important problem of urban computing with many applications, such as public security. Inspired by the success of deep...
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A Survey of Micro-expression Recognition Methods Based on LBP, Optical Flow and Deep Learning
Micro-expressions typically reflect suppressed feelings and they can provide an accurate indication of the real feelings and motivations of a person....
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A Binary Water Flow Optimizer Applied to Feature Selection
In this work, a binary version of the Water Flow Optimizer (WFO) algorithm, called Binary Water Flow Optimizer (BWFO), is introduced addressing the...
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AndroEvolve: automated Android API update with data flow analysis and variable denormalization
The Android operating system is frequently updated, with each version bringing a new set of APIs. New versions may involve API deprecation; Android...
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Deep 360 \(^\circ \) Optical Flow Estimation Based on Multi-projection Fusion
Optical flow computation is essential in the early stages of the video processing pipeline. This paper focuses on a less explored problem in this...
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Subspace-PnP: A Geometric Constraint Loss for Mutual Assistance of Depth and Optical Flow Estimation
Unsupervised optical flow and stereo depth estimation are two fundamental tasks in computer vision. Current studies (Tosi et al., in: Proceedings of...
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Automated Optic Disc Finder and Segmentation Using Deep Learning for Blood Flow Studies in the Eye
In-vivo imaging with laser speckle flowgraphy (LSFG) enables optical measurement of an index of blood flow in the retina. LSFG can help observe blood...
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Identifying Critical Congested Roads Based on Traffic Flow-Aware Road Network Embedding
Traffic congestion occurs frequently and concurrently on urban road networks, and may cause widespread traffic paralysis if not controlled promptly....
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Multi-objective coyote optimization algorithm based on hybrid elite framework and Meta-Lamarckian learning strategy for optimal power flow problem
A multi-objective coyote optimization algorithm based on hybrid elite framework and Meta-Lamarckian learning strategy (MOCOA-ML) was proposed to...
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Deep learning method for efficient cloud IDS utilizing combined behavior and flow-based features
The Intrusion Detection System (IDS) distinguishes the harmful entries from the normal ones in network traffic data and aids in network security. Due...
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GraphFlow+: Exploiting Conversation Flow in Conversational Machine Comprehension with Graph Neural Networks
The conversation machine comprehension (MC) task aims to answer questions in the multi-turn conversation for a single passage. However, recent...
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Flow-pose Net: an effective two-stream network for fall detection
Aging society gives rise to the need of fall detection for the elderly. The interference of the environmental noise and the loss of motion...
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Genetic-A* Algorithm-Based Routing for Continuous-Flow Microfluidic Biochip in Intelligent Digital Healthcare
In the field of intelligent digital healthcare, Continuous-flow microfluidic biochip (CFMB) has become a research direction of widespread concern....
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Optical flow algorithms optimized for speed, energy and accuracy on embedded GPUs
Embedded computer vision is a hot field of research that requires trade-offs in order to balance execution time, power consumption and accuracy. In...
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A time-dependent attention convolutional LSTM method for traffic flow prediction
With traffic network becoming increasingly complicated, traffic flow prediction has important practical significance for the management of traffic...
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MTMGNN: Multi-time multi-graph neural network for metro passenger flow prediction
The passenger flow prediction of the public metro system is a core and critical part of the intelligent transportation system, and is essential for...
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Flow-Based Models
So far, we have discussed a class of deep generative models that model the distribution p(x) directly in an autoregressive manner. The main advantage...
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Automatic Infant Respiration Estimation from Video: A Deep Flow-Based Algorithm and a Novel Public Benchmark
Respiration is a critical vital sign for infants, and continuous respiratory monitoring is particularly important for newborns. However, neonates are...
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MemFlowNet: A Network for Detecting Subtle Surface Anomalies with Memory Bank and Normalizing Flow
Detection of subtle surface anomalies in the presence of strong noise is a challenging vision task. This paper presents a new neural network called...