12 citations · 21 across the 5 of their papers we have counts for
5 papers
Enabling Visual Recognition at Radio Frequency
Haowen Lai, Gaoxiang Luo, Yifei Liu +1
This paper introduces PanoRadar, a novel RF imaging system that brings RF resolution close to that of LiDAR, while providing resilience against conditions challenging for optical s…
Seeing Through Clouds in Satellite Images
Mingmin Zhao, Peder A. Olsen, Ranveer Chandra
This paper presents a neural-network-based solution to recover pixels occluded by clouds in satellite images. We leverage radio frequency (RF) signals in the ultra/super-high frequ…
Making the Invisible Visible: Action Recognition Through Walls and Occlusions
Tianhong Li, Lijie Fan, Mingmin Zhao +2
Understanding people's actions and interactions typically depends on seeing them. Automating the process of action recognition from visual data has been the topic of much research…
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling
Hao Wang, Chengzhi Mao, Hao He +3
We consider the problem of inferring the values of an arbitrary set of variables (e.g., risk of diseases) given other observed variables (e.g., symptoms and diagnosed diseases) and…
Predictive Encoding of Contextual Relationships for Perceptual Inference, Interpolation and Prediction
Mingmin Zhao, Chengxu Zhuang, Yizhou Wang +1
We propose a new neurally-inspired model that can learn to encode the global relationship context of visual events across time and space and to use the contextual information to mo…