209 citations · 917 across the 34 of their papers we have counts for
6 papers · 1 filter
Online Model Distillation for Efficient Video Inference
Ravi Teja Mullapudi, Steven Chen, Keyi Zhang +2
High-quality computer vision models typically address the problem of understanding the general distribution of real-world images. However, most cameras observe only a very small fr…
Recycle-GAN: Unsupervised Video Retargeting
Aayush Bansal, Shugao Ma, Deva Ramanan +1
We introduce a data-driven approach for unsupervised video retargeting that translates content from one domain to another while preserving the style native to a domain, i.e., if co…
Active Testing: An Efficient and Robust Framework for Estimating Accuracy
Phuc Nguyen, Deva Ramanan, Charless Fowlkes
Much recent work on visual recognition aims to scale up learning to massive, noisily-annotated datasets. We address the problem of scaling- up the evaluation of such models to larg…
Cross-Domain Image Matching with Deep Feature Maps
Bailey Kong, James Supancic, Deva Ramanan +1
We investigate the problem of automatically determining what type of shoe left an impression found at a crime scene. This recognition problem is made difficult by the variability i…
Brute-Force Facial Landmark Analysis With A 140,000-Way Classifier
Mengtian Li, Laszlo Jeni, Deva Ramanan
We propose a simple approach to visual alignment, focusing on the illustrative task of facial landmark estimation. While most prior work treats this as a regression problem, we ins…
Active Learning with Partial Feedback
Peiyun Hu, Zachary C. Lipton, Anima Anandkumar +1
While many active learning papers assume that the learner can simply ask for a label and receive it, real annotation often presents a mismatch between the form of a label (say, one…