849 citations · 2k across the 67 of their papers we have counts for
6 papers · 1 filter
Multi-level Multimodal Common Semantic Space for Image-Phrase Grounding
Hassan Akbari, Svebor Karaman, Surabhi Bhargava +3
We address the problem of phrase grounding by lear ing a multi-level common semantic space shared by the textual and visual modalities. We exploit multiple levels of feature maps o…
DeepBase: Deep Inspection of Neural Networks
Thibault Sellam, Kevin Lin, Ian Yiran Huang +4
Although deep learning models perform remarkably well across a range of tasks such as language translation and object recognition, it remains unclear what high-level logic, if any,…
Actor-Centric Relation Network
Chen Sun, Abhinav Shrivastava, Carl Vondrick +3
Current state-of-the-art approaches for spatio-temporal action localization rely on detections at the frame level and model temporal context with 3D ConvNets. Here, we go one step…
Tracking Emerges by Colorizing Videos
Carl Vondrick, Abhinav Shrivastava, Alireza Fathi +2
We use large amounts of unlabeled video to learn models for visual tracking without manual human supervision. We leverage the natural temporal coherency of color to create a model…
The Sound of Pixels
Hang Zhao, Chuang Gan, Andrew Rouditchenko +3
We introduce PixelPlayer, a system that, by leveraging large amounts of unlabeled videos, learns to locate image regions which produce sounds and separate the input sounds into a s…
Moments in Time Dataset: one million videos for event understanding
Mathew Monfort, Alex Andonian, Bolei Zhou +8
We present the Moments in Time Dataset, a large-scale human-annotated collection of one million short videos corresponding to dynamic events unfolding within three seconds. Modelin…