25 citations · 70 across the 8 of their papers we have counts for
8 papers
Decentralized Bayesian Learning over Graphs
Anusha Lalitha, Xinghan Wang, Osman Kilinc +3
We propose a decentralized learning algorithm over a general social network. The algorithm leaves the training data distributed on the mobile devices while utilizing a peer to peer…
Implicit Label Augmentation on Partially Annotated Clips via Temporally-Adaptive Features Learning
Yongxi Lu, Ziyao Tang, Tara Javidi
Partially annotated clips contain rich temporal contexts that can complement the sparse key frame annotations in providing supervision for model training. We present a novel paradi…
SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception
Yue Meng, Yongxi Lu, Aman Raj +5
Unsupervised learning for geometric perception (depth, optical flow, etc.) is of great interest to autonomous systems. Recent works on unsupervised learning have made considerable…
Efficient Video Understanding via Layered Multi Frame-Rate Analysis
Ziyao Tang, Yongxi Lu, Tara Javidi
One of the greatest challenges in the design of a real-time perception system for autonomous driving vehicles and drones is the conflicting requirement of safety (high prediction a…
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
Yongxi Lu, Abhishek Kumar, Shuangfei Zhai +3
Multi-task learning aims to improve generalization performance of multiple prediction tasks by appropriately sharing relevant information across them. In the context of deep neural…
S3Pool: Pooling with Stochastic Spatial Sampling
Shuangfei Zhai, Hui Wu, Abhishek Kumar +4
Feature pooling layers (e.g., max pooling) in convolutional neural networks (CNNs) serve the dual purpose of providing increasingly abstract representations as well as yielding com…