456 citations · 1.1k across the 26 of their papers we have counts for
8 papers · 1 filter
Improving Semantic Segmentation via Video Propagation and Label Relaxation
Yi Zhu, Karan Sapra, Fitsum A. Reda +4
Semantic segmentation requires large amounts of pixel-wise annotations to learn accurate models. In this paper, we present a video prediction-based methodology to scale up training…
Random Temporal Skipping for Multirate Video Analysis
Yi Zhu, Shawn Newsam
Current state-of-the-art approaches to video understanding adopt temporal jittering to simulate analyzing the video at varying frame rates. However, this does not work well for mul…
Gated Transfer Network for Transfer Learning
Yi Zhu, Jia Xue, Shawn Newsam
Deep neural networks have led to a series of breakthroughs in computer vision given sufficient annotated training datasets. For novel tasks with limited labeled data, the prevalent…
What Is It Like Down There? Generating Dense Ground-Level Views and Image Features From Overhead Imagery Using Conditional Generative Adversarial Networks
Xueqing Deng, Yi Zhu, Shawn Newsam
This paper investigates conditional generative adversarial networks (cGANs) to overcome a fundamental limitation of using geotagged media for geographic discovery, namely its spars…
Learning Optical Flow via Dilated Networks and Occlusion Reasoning
Yi Zhu, Shawn Newsam
Despite the significant progress that has been made on estimating optical flow recently, most estimation methods, including classical and deep learning approaches, still have diffi…
Towards Universal Representation for Unseen Action Recognition
Yi Zhu, Yang Long, Yu Guan +2
Unseen Action Recognition (UAR) aims to recognise novel action categories without training examples. While previous methods focus on inner-dataset seen/unseen splits, this paper pr…
Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images
Yi Zhu, Xueqing Deng, Shawn Newsam
We perform fine-grained land use mapping at the city scale using ground-level images. Mapping land use is considerably more difficult than mapping land cover and is generally not p…
Spatial Morphing Kernel Regression For Feature Interpolation
Xueqing Deng, Yi Zhu, Shawn Newsam
In recent years, geotagged social media has become popular as a novel source for geographic knowledge discovery. Ground-level images and videos provide a different perspective than…