activity
20182022
most citedThe Eighth Dialog System Technology Challenge

53 citations · 94 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

6 papers · 1 filter

cs.CV20221 cited

(2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering

Anoop Cherian, Chiori Hori, Tim K. Marks +1

Spatio-temporal scene-graph approaches to video-based reasoning tasks, such as video question-answering (QA), typically construct such graphs for every video frame. These approache…

cs.CV2021

MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation

Safa C. Medin, Bernhard Egger, Anoop Cherian +4

Recent advances in generative adversarial networks (GANs) have led to remarkable achievements in face image synthesis. While methods that use style-based GANs can generate striking…

cs.CV202013 cited

LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood

Abhinav Kumar, Tim K. Marks, Wenxuan Mou +6

Modern face alignment methods have become quite accurate at predicting the locations of facial landmarks, but they do not typically estimate the uncertainty of their predicted loca…

cs.CV2020

Spatio-Temporal Ranked-Attention Networks for Video Captioning

Anoop Cherian, Jue Wang, Chiori Hori +1

Generating video descriptions automatically is a challenging task that involves a complex interplay between spatio-temporal visual features and language models. Given that videos c…

cs.CV2019

Audio-Visual Scene-Aware Dialog

Huda Alamri, Vincent Cartillier, Abhishek Das +9

We introduce the task of scene-aware dialog. Our goal is to generate a complete and natural response to a question about a scene, given video and audio of the scene and the history…

cs.CV2018

Class Subset Selection for Transfer Learning using Submodularity

Varun Manjunatha, Srikumar Ramalingam, Tim K. Marks +1

In recent years, it is common practice to extract fully-connected layer (fc) features that were learned while performing image classification on a source dataset, such as ImageNet,…