118 citations · 665 across the 50 of their papers we have counts for
13 papers · 2 filters
Pano2Vid: Automatic Cinematography for Watching 360 Videos
Yu-Chuan Su, Dinesh Jayaraman, Kristen Grauman
We introduce the novel task of Pano2Vid automatic cinematography in panoramic 360 videos. Given a 360 video, the goal is to direct an imaginary camera to vi…
Semantic Jitter: Dense Supervision for Visual Comparisons via Synthetic Images
Aron Yu, Kristen Grauman
Distinguishing subtle differences in attributes is valuable, yet learning to make visual comparisons remains non-trivial. Not only is the number of possible comparisons quadratic i…
On-Demand Learning for Deep Image Restoration
Ruohan Gao, Kristen Grauman
While machine learning approaches to image restoration offer great promise, current methods risk training models fixated on performing well only for image corruption of a particula…
Object-Centric Representation Learning from Unlabeled Videos
Ruohan Gao, Dinesh Jayaraman, Kristen Grauman
Supervised (pre-)training currently yields state-of-the-art performance for representation learning for visual recognition, yet it comes at the cost of (1) intensive manual annotat…
Crowdsourcing in Computer Vision
Adriana Kovashka, Olga Russakovsky, Li Fei-Fei +1
Computer vision systems require large amounts of manually annotated data to properly learn challenging visual concepts. Crowdsourcing platforms offer an inexpensive method to captu…
Efficient Activity Detection in Untrimmed Video with Max-Subgraph Search
Chao-Yeh Chen, Kristen Grauman
We propose an efficient approach for activity detection in video that unifies activity categorization with space-time localization. The main idea is to pose activity detection as a…