32 citations · 48 across the 7 of their papers we have counts for
9 papers
P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision
He Zhao, Isma Hadji, Nikita Dvornik +3
In this paper, we study the problem of procedure planning in instructional videos. Here, an agent must produce a plausible sequence of actions that can transform the environment fr…
Review of Video Predictive Understanding: Early Action Recognition and Future Action Prediction
He Zhao, Richard P. Wildes
Video predictive understanding encompasses a wide range of efforts that are concerned with the anticipation of the unobserved future from the current as well as historical video ob…
Interpretable Deep Feature Propagation for Early Action Recognition
He Zhao, Richard P. Wildes
Early action recognition (action prediction) from limited preliminary observations plays a critical role for streaming vision systems that demand real-time inference, as video acti…
Detecting Biological Locomotion in Video: A Computational Approach
Soo Min Kang, Richard P. Wildes
Animals locomote for various reasons: to search for food, find suitable habitat, pursue prey, escape from predators, or seek a mate. The grand scale of biodiversity contributes to…
Why Convolutional Networks Learn Oriented Bandpass Filters: Theory and Empirical Support
Isma Hadji, Richard P. Wildes
It has been repeatedly observed that convolutional architectures when applied to image understanding tasks learn oriented bandpass filters. A standard explanation of this result is…
Graph Neural Net using Analytical Graph Filters and Topology Optimization for Image Denoising
Weng-tai Su, Gene Cheung, Richard Wildes +1
While convolutional neural nets (CNNs) have achieved remarkable performance for a wide range of inverse imaging applications, the filter coefficients are computed in a purely data-…