1.3k citations · 1.8k across the 13 of their papers we have counts for
5 papers · 1 filter
Deep Mixture Density Network for Probabilistic Object Detection
Yihui He, Jianren Wang
Mistakes/uncertainties in object detection could lead to catastrophes when deploying robots in the real world. In this paper, we measure the uncertainties of object localization to…
Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks
Yihui He, Jianing Qian, Jianren Wang +5
Very deep convolutional neural networks (CNNs) have been firmly established as the primary methods for many computer vision tasks. However, most state-of-the-art CNNs are large, wh…
MoBiNet: A Mobile Binary Network for Image Classification
Hai Phan, Dang Huynh, Yihui He +2
MobileNet and Binary Neural Networks are two among the most widely used techniques to construct deep learning models for performing a variety of tasks on mobile and embedded platfo…
Prediction-Tracking-Segmentation
Jianren Wang, Yihui He, Xiaobo Wang +2
We introduce a prediction driven method for visual tracking and segmentation in videos. Instead of solely relying on matching with appearance cues for tracking, we build a predicti…
Feature Selective Anchor-Free Module for Single-Shot Object Detection
Chenchen Zhu, Yihui He, Marios Savvides
We motivate and present feature selective anchor-free (FSAF) module, a simple and effective building block for single-shot object detectors. It can be plugged into single-shot dete…