149 citations · 152 across the 5 of their papers we have counts for
5 papers
IC3: Image Captioning by Committee Consensus
David M. Chan, Austin Myers, Sudheendra Vijayanarasimhan +2
If you ask a human to describe an image, they might do so in a thousand different ways. Traditionally, image captioning models are trained to generate a single "best" (most like a…
Open-Vocabulary Temporal Action Detection with Off-the-Shelf Image-Text Features
Vivek Rathod, Bryan Seybold, Sudheendra Vijayanarasimhan +4
Detecting actions in untrimmed videos should not be limited to a small, closed set of classes. We present a simple, yet effective strategy for open-vocabulary temporal action detec…
Distribution Aware Metrics for Conditional Natural Language Generation
David M Chan, Yiming Ni, David A Ross +3
Traditional automated metrics for evaluating conditional natural language generation use pairwise comparisons between a single generated text and the best-matching gold-standard gr…
What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics
David M. Chan, Austin Myers, Sudheendra Vijayanarasimhan +3
While there have been significant gains in the field of automated video description, the generalization performance of automated description models to novel domains remains a major…
VideoBERT: A Joint Model for Video and Language Representation Learning
Chen Sun, Austin Myers, Carl Vondrick +2
Self-supervised learning has become increasingly important to leverage the abundance of unlabeled data available on platforms like YouTube. Whereas most existing approaches learn l…