Latest Computer Vision and Pattern Recognition research
Follow Computer Vision and Pattern Recognition in Scollr to keep up with new research papers as they are published, then save the studies worth reading and map how they connect.
Latest Computer Vision and Pattern Recognition papers
The most relevant recent papers Scollr indexed in this topic, ranked by topic relevance, citations, and recency.
Comparative analysis of user interface quality of mobile operator applications
Assessing Distribution Shift in Human Activity Recognition for Domain Generalization
Research and Implementation of YOLOv8+Transformer in Human Fall Detection Image Recognition
COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition
Improved fall detection via oversampled time-series data and deep recurrent models
DeM-FCN: an ultra-lightweight and purely convolutional framework for edge-native human activity recognition in wearable fitness tracking
Room-Specialized Mixture-of-Experts for In-Home ADL Recognition with Ambient Sensors
Adaptive Latent Motion Intelligence for Multi-Gait Behavioral Understanding in Sensor-Embedded Wearable Ecosystems
A low-cost edge-AI smart floor mat using multi-point force sensors for real-time fall detection and elderly safety
WAD-YOLO: A Lightweight Fall Detection Algorithm for Visual Sensor Systems Based on Wavelet Transform and Dynamic Convolution
From controlled benchmarks to unconstrained environments: a pipeline-oriented survey of models, domains, and emerging trends on human activity recognition
WHAR Arena: Benchmarking the State of the Art in Efficient Wearable Human Activity Recognition
Impact of Gyroscope Integration, Sensor Placement, and Activity Granularity on Human Activity Recognition Performance
What is changing in Computer Vision and Pattern Recognition
Daily publication volume across the last 30 days, drawn from Scollr's indexed literature.
Keeping up with Computer Vision and Pattern Recognition research
How do I keep up with new Computer Vision and Pattern Recognition research?
Follow Computer Vision and Pattern Recognition in Scollr. New papers in the topic flow into a personalized feed, and you can save the studies worth reading without setting up email alerts. This page also lists the most relevant recent papers so you can scan what changed at a glance.
What are the latest Computer Vision and Pattern Recognition papers?
The recent papers section above is rebuilt continuously from Scollr's indexed literature, ranked by topic relevance, citations, and recency. Each links to its full record so you can read the abstract and follow the authors and sources behind it.
How do I find related work in Computer Vision and Pattern Recognition?
Open any paper and build a literature map to see its references, citing papers, and related research in one workspace. The related topics list on this page also routes you into adjacent research areas Scollr tracks.
