3 citations · 7 across the 4 of their papers we have counts for
5 papers · 1 filter
A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction
Moitreya Chatterjee, Narendra Ahuja, Anoop Cherian
Predicting the future frames of a video is a challenging task, in part due to the underlying stochastic real-world phenomena. Prior approaches to solve this task typically estimate…
Visual Scene Graphs for Audio Source Separation
Moitreya Chatterjee, Jonathan Le Roux, Narendra Ahuja +1
State-of-the-art approaches for visually-guided audio source separation typically assume sources that have characteristic sounds, such as musical instruments. These approaches ofte…
Sound2Sight: Generating Visual Dynamics from Sound and Context
Anoop Cherian, Moitreya Chatterjee, Narendra Ahuja
Learning associations across modalities is critical for robust multimodal reasoning, especially when a modality may be missing during inference. In this paper, we study this proble…
Diverse and Coherent Paragraph Generation from Images
Moitreya Chatterjee, Alexander G. Schwing
Paragraph generation from images, which has gained popularity recently, is an important task for video summarization, editing, and support of the disabled. Traditional image captio…
Coreset-Based Neural Network Compression
Abhimanyu Dubey, Moitreya Chatterjee, Narendra Ahuja
We propose a novel Convolutional Neural Network (CNN) compression algorithm based on coreset representations of filters. We exploit the redundancies extant in the space of CNN weig…