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Found 7 papers, 4 papers with code
A Survey on Computer Vision based Human Analysis in the COVID-19 Era
The emergence of COVID-19 has had a global and profound impact, not only on society as a whole, but also on the lives of individuals.
Bias-Aware Face Mask Detection Dataset
In this work, we present a novel face mask detection dataset that contains images posted on Twitter during the pandemic from around the world.
Face-Dubbing++: Lip-Synchronous, Voice Preserving Translation of Videos
The system is designed to combine multiple component models and produces a video of the original speaker speaking in the target language that is lip-synchronous with the target speech, yet maintains emphases in speech, voice characteristics, face video of the original speaker.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+6
Shuffled Patch-Wise Supervision for Presentation Attack Detection
We tested the proposed method both on the standard benchmark datasets -- Replay-Mobile, OULU-NPU -- and on a real-world dataset.
MOCCA: Multi-Layer One-Class ClassificAtion for Anomaly Detection
Indeed, differently from commonly used approaches that consider a neural network as a single computational block, i. e., using the output of the last layer only, MOCCA explicitly leverages the multi-layer structure of deep architectures.
Ranked #80 on
Anomaly Detection
on MVTec AD
Offline Signature Verification on Real-World Documents
Research on offline signature verification has explored a large variety of methods on multiple signature datasets, which are collected under controlled conditions.
Thermal to Visible Face Recognition Using Deep Autoencoders
Also, we assess the impact of alignment in thermal to visible face recognition.
Ranked #1 on
Face Recognition
on Carl
