activity
20182020
most citedHierarchical Contrastive Motion Learning for Video Action Recognition

12 citations · 26 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2020

A Generic Visualization Approach for Convolutional Neural Networks

Ahmed Taha, Xitong Yang, Abhinav Shrivastava +1

Retrieval networks are essential for searching and indexing. Compared to classification networks, attention visualization for retrieval networks is hardly studied. We formulate att…

cs.CV2020★ 12 cited

Hierarchical Contrastive Motion Learning for Video Action Recognition

Xitong Yang, Xiaodong Yang, Sifei Liu +3

One central question for video action recognition is how to model motion. In this paper, we present hierarchical contrastive motion learning, a new self-supervised learning framewo…

cs.CV2019★ 4 cited

STEP: Spatio-Temporal Progressive Learning for Video Action Detection

Xitong Yang, Xiaodong Yang, Ming-Yu Liu +3

In this paper, we propose Spatio-TEmporal Progressive (STEP) action detector---a progressive learning framework for spatio-temporal action detection in videos. Starting from a hand…

cs.CV2019★ 4 cited

Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems

Ahmed Taha, Yi-Ting Chen, Xitong Yang +2

We cast visual retrieval as a regression problem by posing triplet loss as a regression loss. This enables epistemic uncertainty estimation using dropout as a Bayesian approximatio…

cs.CV2018★ 6 cited

Two Stream Self-Supervised Learning for Action Recognition

Ahmed Taha, Moustafa Meshry, Xitong Yang +2

We present a self-supervised approach using spatio-temporal signals between video frames for action recognition. A two-stream architecture is leveraged to tangle spatial and tempor…