46 citations · 125 across the 33 of their papers we have counts for
4 papers · 1 filter
Unlocking the Full Potential of Small Data with Diverse Supervision
Ziqi Pang, Zhiyuan Hu, Pavel Tokmakov +2
Virtually all of deep learning literature relies on the assumption of large amounts of available training data. Indeed, even the majority of few-shot learning methods rely on a lar…
Learning to Track Any Object
Achal Dave, Pavel Tokmakov, Cordelia Schmid +1
Object tracking can be formulated as "finding the right object in a video". We observe that recent approaches for class-agnostic tracking tend to focus on the "finding" part, but l…
A Study on Action Detection in the Wild
Yubo Zhang, Pavel Tokmakov, Martial Hebert +1
The recent introduction of the AVA dataset for action detection has caused a renewed interest to this problem. Several approaches have been recently proposed that improved the perf…
Towards Segmenting Anything That Moves
Achal Dave, Pavel Tokmakov, Deva Ramanan
Detecting and segmenting individual objects, regardless of their category, is crucial for many applications such as action detection or robotic interaction. While this problem has…