activity
20172021
most citedWhat can human minimal videos tell us about dynamic recognition models?

5 citations · 13 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV20211 cited

Parallel mesh reconstruction streams for pose estimation of interacting hands

Uri Wollner, Guy Ben-Yosef

We present a new multi-stream 3D mesh reconstruction network (MSMR-Net) for hand pose estimation from a single RGB image. Our model consists of an image encoder followed by a mesh-…

cs.CV20215 cited

What can human minimal videos tell us about dynamic recognition models?

Guy Ben-Yosef, Gabriel Kreiman, Shimon Ullman

In human vision objects and their parts can be visually recognized from purely spatial or purely temporal information but the mechanisms integrating space and time are poorly under…

cs.CV20194 cited

Minimal Images in Deep Neural Networks: Fragile Object Recognition in Natural Images

Sanjana Srivastava, Guy Ben-Yosef, Xavier Boix

The human ability to recognize objects is impaired when the object is not shown in full. "Minimal images" are the smallest regions of an image that remain recognizable for humans.…

cs.CV2018

Complex Relations in a Deep Structured Prediction Model for Fine Image Segmentation

Cristina Mata, Guy Ben-Yosef, Boris Katz

Many deep learning architectures for semantic segmentation involve a Fully Convolutional Neural Network (FCN) followed by a Conditional Random Field (CRF) to carry out inference ov…

cs.CV20173 cited

A model for interpreting social interactions in local image regions

Guy Ben-Yosef, Alon Yachin, Shimon Ullman

Understanding social interactions (such as 'hug' or 'fight') is a basic and important capacity of the human visual system, but a challenging and still open problem for modeling. In…