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Found 6 papers, 4 papers with code
An Adversarial Attack Analysis on Malicious Advertisement URL Detection Framework
In this study, we extract a novel set of lexical and web-scrapped features and employ machine learning technique to set up system for fraudulent advertisement URLs detection.
Cross-Modal learning for Audio-Visual Video Parsing
In this paper, we present a novel approach to the audio-visual video parsing (AVVP) task that demarcates events from a video separately for audio and visual modalities.
Ranked #1 on
Event Detection
on Audio Set
Rudder: A Cross Lingual Video and Text Retrieval Dataset
Video retrieval using natural language queries requires learning semantically meaningful joint embeddings between the text and the audio-visual input.
Ranked #1 on
Video Retrieval
on Charades-STA
Parzen Window Approximation on Riemannian Manifold
In this paper, the bias due to uneven data sampling on the Riemannian manifold is catered to by a variable Parzen window determined as a function of neighborhood size, ambient dimension, flatness range, etc.
Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings
Fine-grained entity type classification (FETC) is the task of classifying an entity mention to a broad set of types.
Deep iris representation with applications in iris recognition and cross-sensor iris recognition
Experimental analysis reveal that proposed DeepIrisNet can model the micro-structures of iris very effectively and provides robust, discriminative, compact, and very easy-to-implement iris representation that obtains state-of-the-art accuracy.
