Search Results for author:
Found 7 papers, 1 papers with code
VIXEN: Visual Text Comparison Network for Image Difference Captioning
We present VIXEN - a technique that succinctly summarizes in text the visual differences between a pair of images in order to highlight any content manipulation present.
ALADIN-NST: Self-supervised disentangled representation learning of artistic style through Neural Style Transfer
Representation learning aims to discover individual salient features of a domain in a compact and descriptive form that strongly identifies the unique characteristics of a given sample respective to its domain.
VADER: Video Alignment Differencing and Retrieval
We propose VADER, a spatio-temporal matching, alignment, and change summarization method to help fight misinformation spread via manipulated videos.
Audio-Visual Contrastive Learning with Temporal Self-Supervision
We propose a self-supervised learning approach for videos that learns representations of both the RGB frames and the accompanying audio without human supervision.
SImProv: Scalable Image Provenance Framework for Robust Content Attribution
We present SImProv - a scalable image provenance framework to match a query image back to a trusted database of originals and identify possible manipulations on the query.
VPN: Video Provenance Network for Robust Content Attribution
We present VPN - a content attribution method for recovering provenance information from videos shared online.
Compositional Sketch Search
We present an algorithm for searching image collections using free-hand sketches that describe the appearance and relative positions of multiple objects.
