activity
20162022
most citedPrecise Recovery of Latent Vectors from Generative Adversarial Networks

93 citations · 97 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20222 cited

Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection

Kyle Min, Sourya Roy, Subarna Tripathi +2

Active speaker detection (ASD) in videos with multiple speakers is a challenging task as it requires learning effective audiovisual features and spatial-temporal correlations over…

cs.CV2021

Learning Spatial-Temporal Graphs for Active Speaker Detection

Sourya Roy, Kyle Min, Subarna Tripathi +2

We address the problem of active speaker detection through a new framework, called SPELL, that learns long-range multimodal graphs to encode the inter-modal relationship between au…

cs.LG201793 cited

Precise Recovery of Latent Vectors from Generative Adversarial Networks

Zachary C. Lipton, Subarna Tripathi

Generative adversarial networks (GANs) transform latent vectors into visually plausible images. It is generally thought that the original GAN formulation gives no out-of-the-box me…

cs.CV20161 cited

A Statistical Approach to Continuous Self-Calibrating Eye Gaze Tracking for Head-Mounted Virtual Reality Systems

Subarna Tripathi, Brian Guenter

We present a novel, automatic eye gaze tracking scheme inspired by smooth pursuit eye motion while playing mobile games or watching virtual reality contents. Our algorithm continuo…

cs.CV20161 cited

Context Matters: Refining Object Detection in Video with Recurrent Neural Networks

Subarna Tripathi, Zachary C. Lipton, Serge Belongie +1

Given the vast amounts of video available online, and recent breakthroughs in object detection with static images, object detection in video offers a promising new frontier. Howeve…