Yu Hu | DeepAI

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Featured Co-authors

Jianfeng Gao
241 publications
Yue Zhang
236 publications
Jie Li
179 publications
Zhou Yu
127 publications
Lin Yang
100 publications
Yiyu Shi
93 publications
Weizhu Chen
89 publications
Hao Cheng
85 publications
Cong Liu
76 publications
Shiliang Zhang
70 publications
Zhen-Hua Ling
68 publications

∙ 07/26/2023

Technical note: ShinyAnimalCV: open-source cloud-based web application for object detection, segmentation, and three-dimensional visualization of animals using computer vision

Computer vision (CV), a non-intrusive and cost-effective technology, has...

0 Jin Wang, et al. ∙

∙ 02/28/2023

PA DA: Jointly Sampling PAth and DAta for Consistent NAS

Based on the weight-sharing mechanism, one-shot NAS methods train a supe...

0 Shun Lu, et al. ∙

∙ 02/24/2023

Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback

Large language models (LLMs), such as ChatGPT, are able to generate huma...

0 Baolin Peng, et al. ∙

∙ 02/17/2023

Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving

In autonomous driving, the novel objects and lack of annotations challen...

0 Jilin Mei, et al. ∙

∙ 02/03/2023

Uniform tensor clustering by jointly exploring sample affinities of various orders

Conventional clustering methods based on pairwise affinity usually suffe...

0 Hongmin Cai, et al. ∙

∙ 11/28/2022

FeatureBooster: Boosting Feature Descriptors with a Lightweight Neural Network

We introduce a lightweight network to improve descriptors of keypoints w...

0 Xinjiang Wang, et al. ∙

∙ 07/22/2021

Linear Polytree Structural Equation Models: Structural Learning and Inverse Correlation Estimation

We are interested in the problem of learning the directed acyclic graph ...

0 Xingmei Lou, et al. ∙

∙ 04/25/2021

Quantization of Deep Neural Networks for Accurate EdgeComputing

Deep neural networks (DNNs) have demonstrated their great potential in r...

0 Wentao Chen, et al. ∙

∙ 02/07/2021

DPointNet: A Density-Oriented PointNet for 3D Object Detection in Point Clouds

For current object detectors, the scale of the receptive field of featur...

0 Jie Li, et al. ∙

∙ 12/28/2020

Lip-reading with Hierarchical Pyramidal Convolution and Self-Attention

In this paper, we propose a novel deep learning architecture to improvin...

3 Hang Chen, et al. ∙

∙ 12/09/2020

Tracking Interaction States for Multi-Turn Text-to-SQL Semantic Parsing

The task of multi-turn text-to-SQL semantic parsing aims to translate na...

0 Run-Ze Wang, et al. ∙

∙ 09/21/2020

Correlating Subword Articulation with Lip Shapes for Embedding Aware Audio-Visual Speech Enhancement

In this paper, we propose a visual embedding approach to improving embed...

0 Hang Chen, et al. ∙

∙ 09/11/2020

A Density-Aware PointRCNN for 3D Objection Detection in Point Clouds

We present an improved version of PointRCNN for 3D object detection, in ...

0 Jie Li, et al. ∙

∙ 02/23/2020

Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction

Video prediction is a pixel-wise dense prediction task to infer future f...

0 Beibei Jin, et al. ∙

∙ 08/09/2019

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection

We introduce a novel single-shot object detector to ease the imbalance o...

1 Qiankun Tang, et al. ∙

∙ 05/10/2019

Integrating Tensor Similarity to Enhance Clustering Performance

Clustering aims to separate observed data into different categories. The...

0 Hong Peng, et al. ∙

∙ 08/02/2018

Chaff Bugs: Deterring Attackers by Making Software Buggier

Sophisticated attackers find bugs in software, evaluate their exploitabi...

0 Zhenghao Hu, et al. ∙

∙ 03/13/2018

Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation

With pervasive applications of medical imaging in health-care, biomedica...

0 Xiaowei Xu, et al. ∙

∙ 11/13/2016

Commonsense Knowledge Enhanced Embeddings for Solving Pronoun Disambiguation Problems in Winograd Schema Challenge

In this paper, we propose commonsense knowledge enhanced embeddings (KEE...

0 Quan Liu, et al. ∙

∙ 03/24/2016

Probabilistic Reasoning via Deep Learning: Neural Association Models

In this paper, we propose a new deep learning approach, called neural as...

1 Quan Liu, et al. ∙

∙ 03/24/2016

Part-of-Speech Relevance Weights for Learning Word Embeddings

This paper proposes a model to learn word embeddings with weighted conte...

0 Quan Liu, et al. ∙

∙ 12/28/2015

Feedforward Sequential Memory Networks: A New Structure to Learn Long-term Dependency

In this paper, we propose a novel neural network structure, namely feedf...

0 Shiliang Zhang, et al. ∙

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