10 citations · 23 across the 10 of their papers we have counts for
12 papers
VADER: Video Alignment Differencing and Retrieval
Alexander Black, Simon Jenni, Tu Bui +5
We propose VADER, a spatio-temporal matching, alignment, and change summarization method to help fight misinformation spread via manipulated videos. VADER matches and coarsely alig…
Anytime-Valid Confidence Sequences in an Enterprise A/B Testing Platform
Akash V. Maharaj, Ritwik Sinha, David Arbour +7
A/B tests are the gold standard for evaluating digital experiences on the web. However, traditional "fixed-horizon" statistical methods are often incompatible with the needs of mod…
Privacy Aware Experiments without Cookies
Shiv Shankar, Ritwik Sinha, Saayan Mitra +3
Consider two brands that want to jointly test alternate web experiences for their customers with an A/B test. Such collaborative tests are today enabled using \textit{third-party c…
Video Manipulations Beyond Faces: A Dataset with Human-Machine Analysis
Trisha Mittal, Ritwik Sinha, Viswanathan Swaminathan +2
As tools for content editing mature, and artificial intelligence (AI) based algorithms for synthesizing media grow, the presence of manipulated content across online media is incre…
Show Me What I Like: Detecting User-Specific Video Highlights Using Content-Based Multi-Head Attention
Uttaran Bhattacharya, Gang Wu, Stefano Petrangeli +2
We propose a method to detect individualized highlights for users on given target videos based on their preferred highlight clips marked on previous videos they have watched. Our m…
HighlightMe: Detecting Highlights from Human-Centric Videos
Uttaran Bhattacharya, Gang Wu, Stefano Petrangeli +2
We present a domain- and user-preference-agnostic approach to detect highlightable excerpts from human-centric videos. Our method works on the graph-based representation of multipl…
Optimal Bidding Strategy without Exploration in Real-time Bidding
Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel +1
Maximizing utility with a budget constraint is the primary goal for advertisers in real-time bidding (RTB) systems. The policy maximizing the utility is referred to as the optimal…
Scalable Bid Landscape Forecasting in Real-time Bidding
Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel +3
In programmatic advertising, ad slots are usually sold using second-price (SP) auctions in real-time. The highest bidding advertiser wins but pays only the second-highest bid (know…
From Thumbnails to Summaries - A single Deep Neural Network to Rule Them All
Hongxiang Gu, Viswanathan Swaminathan
Video summaries come in many forms, from traditional single-image thumbnails, animated thumbnails, storyboards, to trailer-like video summaries. Content creators use the summaries…
Viewport-Driven Rate-Distortion Optimized 360° Video Streaming
Jacob Chakareski, Ridvan Aksu, Xavier Corbillon +2
The growing popularity of virtual and augmented reality communications and 360° video streaming is moving video communication systems into much more dynamic and resource-limited op…
Adaptive 360 VR Video Streaming based on MPEG-DASH SRD
Mohammad Hosseini, Viswanathan Swaminathan
We demonstrate an adaptive bandwidth-efficient 360 VR video streaming system based on MPEG-DASH SRD. We extend MPEG-DASH SRD to the 3D space of 360 VR videos, and showcase a dynami…
Adaptive 360 VR Video Streaming: Divide and Conquer!
Mohammad Hosseini, Viswanathan Swaminathan
While traditional multimedia applications such as games and videos are still popular, there has been a significant interest in the recent years towards new 3D media such as 3D imme…