activity
20162021
most citedUnsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency

105 citations · 161 across the 6 of their papers we have counts for

collaborators
Showing 2017Show all

7 papers · 1 filter

cs.CV2017★ 105 cited

Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency

Zhenheng Yang, Peng Wang, Wei Xu +2

Learning to reconstruct depths in a single image by watching unlabeled videos via deep convolutional network (DCN) is attracting significant attention in recent years. In this pape…

cs.CV2017

Occlusion Aware Unsupervised Learning of Optical Flow

Yang Wang, Yi Yang, Zhenheng Yang +3

It has been recently shown that a convolutional neural network can learn optical flow estimation with unsupervised learning. However, the performance of the unsupervised methods st…

cs.CV2017★ 15 cited

Spatio-Temporal Action Detection with Cascade Proposal and Location Anticipation

Zhenheng Yang, Jiyang Gao, Ram Nevatia

In this work, we address the problem of spatio-temporal action detection in temporally untrimmed videos. It is an important and challenging task as finding accurate human actions i…

cs.CV2017★ 23 cited

RED: Reinforced Encoder-Decoder Networks for Action Anticipation

Jiyang Gao, Zhenheng Yang, Ram Nevatia

Action anticipation aims to detect an action before it happens. Many real world applications in robotics and surveillance are related to this predictive capability. Current methods…

cs.CV2017

Cascaded Boundary Regression for Temporal Action Detection

Jiyang Gao, Zhenheng Yang, Ram Nevatia

Temporal action detection in long videos is an important problem. State-of-the-art methods address this problem by applying action classifiers on sliding windows. Although sliding…

cs.CV2017

TALL: Temporal Activity Localization via Language Query

Jiyang Gao, Chen Sun, Zhenheng Yang +1

This paper focuses on temporal localization of actions in untrimmed videos. Existing methods typically train classifiers for a pre-defined list of actions and apply them in a slidi…