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Found 12 papers, 5 papers with code
UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation
In response to this, we introduce UCMCTrack, a novel motion model-based tracker robust to camera movements.
Ranked #1 on
Multiple Object Tracking
on KITTI Tracking test
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
This paper reviews the first NTIRE challenge on quality enhancement of compressed video, with a focus on the proposed methods and results.
Probabilistic models of genetic variation in structured populations applied to global human studies
Modern population genetics studies typically involve genome-wide genotyping of individuals from a diverse network of ancestries.
A Tale of Two Models: Constructing Evasive Attacks on Edge Models
In this paper, we introduce a new evasive attack, DIVA, that exploits these differences in edge adaptation, by adding adversarial noise to input data that maximizes the output difference between the original and adapted model.
Serving DNNs like Clockwork: Performance Predictability from the Bottom Up
Machine learning inference is becoming a core building block for interactive web applications.
The resonances $X(4140)$, $X(4160)$, and $P_{cs}(4459)$ in the decay of $Λ_b\to J/ψΛφ$
We study the decay of $\Lambda_b\to J/\psi\Lambda\phi$ by taking into account the intermediate resonances $X(4140)$, $X(4160)$, and $P_{cs}(4459)$.
High Energy Physics - Phenomenology
Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks
SNALS captures the joint interactions of a hyperedge by its local environment, which is retrieved by collecting the spectrum information of their connections.
Multi defect detection and analysis of electron microscopy images with deep learning
Electron microscopy is widely used to explore defects in crystal structures, but human detecting of defects is often time-consuming, error-prone, and unreliable, and is not scalable to large numbers of images or real-time analysis.
Performance, Successes and Limitations of Deep Learning Semantic Segmentation of Multiple Defects in Transmission Electron Micrographs
In this work, we perform semantic segmentation of multiple defect types in electron microscopy images of irradiated FeCrAl alloys using a deep learning Mask Regional Convolutional Neural Network (Mask R-CNN) model.
Monitoring and Adapting ML Models on Mobile Devices
ML models are increasingly being pushed to mobile devices, for low-latency inference and offline operation.
MGit: A Model Versioning and Management System
MGit introduces a lineage graph that records provenance and versioning information between models, optimizations to efficiently store model parameters, as well as abstractions over this lineage graph that facilitate relevant testing, updating and collaboration functionality.
NTIRE 2024 Challenge on Image Super-Resolution ($\times$4): Methods and Results
This paper reviews the NTIRE 2024 challenge on image super-resolution ($\times$4), highlighting the solutions proposed and the outcomes obtained.
