Yihui He | DeepAI

AI Chat

Featured Co-authors

Jian Sun
183 publications
Xiangyu Zhang
153 publications
Kai Zhang
131 publications
Nanning Zheng
97 publications
Song Han
83 publications
Bo An
62 publications
Xiapu Luo
59 publications
Zhiqiang Shen
54 publications
Kris Kitani
52 publications
Marios Savvides
50 publications
Rui Yan
45 publications

∙ 11/14/2022

Pruning Very Deep Neural Network Channels for Efficient Inference

In this paper, we introduce a new channel pruning method to accelerate v...

0 Yihui He, et al. ∙

∙ 07/01/2020

Motion Prediction in Visual Object Tracking

Visual object tracking (VOT) is an essential component for many applicat...

0 Jianren Wang, et al. ∙

∙ 05/10/2020

Epipolar Transformers

A common approach to localize 3D human joints in a synchronized and cali...

6 Yihui He, et al. ∙

∙ 11/24/2019

Deep Multivariate Mixture of Gaussians for Object Detection under Occlusion

In this paper, we consider the problem of detecting object under occlusi...

20 Yihui He, et al. ∙

∙ 10/21/2019

Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks

Very deep convolutional neural networks (CNNs) have been firmly establis...

0 Yihui He, et al. ∙

∙ 07/29/2019

MoBiNet: A Mobile Binary Network for Image Classification

MobileNet and Binary Neural Networks are two among the most widely used ...

2 Hai Phan, et al. ∙

∙ 04/05/2019

Prediction-Tracking-Segmentation

We introduce a prediction driven method for visual tracking and segmenta...

0 Jianren Wang, et al. ∙

∙ 03/02/2019

Feature Selective Anchor-Free Module for Single-Shot Object Detection

We motivate and present feature selective anchor-free (FSAF) module, a s...

0 Chenchen Zhu, et al. ∙

∙ 12/21/2018

An Empirical Analysis of Deep Audio-Visual Models for Speech Recognition

In this project, we worked on speech recognition, specifically predictin...

0 Devesh Walawalkar, et al. ∙

∙ 09/23/2018

Softer-NMS: Rethinking Bounding Box Regression for Accurate Object Detection

Non-maximum suppression (NMS) is essential for state-of-the-art object d...

0 Yihui He, et al. ∙

∙ 09/22/2018

Shift-based Primitives for Efficient Convolutional Neural Networks

We propose a collection of three shift-based primitives for building eff...

0 Huasong Zhong, et al. ∙

∙ 02/10/2018

ADC: Automated Deep Compression and Acceleration with Reinforcement Learning

Model compression is an effective technique facilitating the deployment ...

0 Yihui He, et al. ∙

∙ 09/20/2017

Estimated Depth Map Helps Image Classification

We consider image classification with estimated depth. This problem fall...

0 Yihui He, et al. ∙

∙ 07/19/2017

Channel Pruning for Accelerating Very Deep Neural Networks

In this paper, we introduce a new channel pruning method to accelerate v...

0 Yihui He, et al. ∙

∙ 05/25/2017

An Empirical Analysis of Approximation Algorithms for the Euclidean Traveling Salesman Problem

With applications to many disciplines, the traveling salesman problem (T...

0 Yihui He, et al. ∙

∙ 04/01/2017

Vehicle Traffic Driven Camera Placement for Better Metropolis Security Surveillance

Security surveillance is one of the most important issues in smart citie...

0 Yihui He, et al. ∙

∙ 03/23/2017

Single Image Super-resolution via a Lightweight Residual Convolutional Neural Network

Recent years have witnessed great success of convolutional neural networ...

0 Yudong Liang, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world