Xiaofang Wang | DeepAI

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Featured Co-authors

Chao Wang
170 publications
Wei Wei
156 publications
Yew Soon Ong
66 publications
Liming Chen
60 publications
Martial Hebert
58 publications
Michael S. Ryoo
53 publications
Anelia Angelova
53 publications
Kris Kitani
52 publications
Kris M. Kitani
40 publications
Yi Shi
37 publications
AJ Piergiovanni
36 publications

∙ 05/02/2022

Cost-Aware Evaluation and Model Scaling for LiDAR-Based 3D Object Detection

Considerable research efforts have been devoted to LiDAR-based 3D object...

0 Xiaofang Wang, et al. ∙

∙ 02/25/2022

Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains

Multi-task Gaussian process (MTGP) is a well-known non-parametric Bayesi...

2 Haitao Liu, et al. ∙

∙ 09/20/2021

Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization

Multi-task regression attempts to exploit the task similarity in order t...

0 Haitao Liu, et al. ∙

∙ 06/03/2021

Deep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems

The demand of probabilistic time series forecasting has been recently ra...

0 Haitao Liu, et al. ∙

∙ 05/13/2021

Neighborhood-Aware Neural Architecture Search

Existing neural architecture search (NAS) methods often return an archit...

0 Xiaofang Wang, et al. ∙

∙ 03/07/2021

Efficient Model Performance Estimation via Feature Histories

An important step in the task of neural network design, such as hyper-pa...

0 Shengcao Cao, et al. ∙

∙ 12/03/2020

Multiple Networks are More Efficient than One: Fast and Accurate Models via Ensembles and Cascades

Recent work on efficient neural network architectures focuses on discove...

0 Xiaofang Wang, et al. ∙

∙ 08/29/2020

Modulating Scalable Gaussian Processes for Expressive Statistical Learning

For a learning task, Gaussian process (GP) is interested in learning the...

0 Haitao Liu, et al. ∙

∙ 07/23/2020

AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification

Convolutional operations have two limitations: (1) do not explicitly mod...

10 Xiaofang Wang, et al. ∙

∙ 05/18/2020

Deep Latent-Variable Kernel Learning

Deep kernel learning (DKL) leverages the connection between Gaussian pro...

24 Haitao Liu, et al. ∙

∙ 04/02/2019

Point in, Box out: Beyond Counting Persons in Crowds

Modern crowd counting methods usually employ deep neural networks (DNN) ...

0 Yuting Liu, et al. ∙

∙ 02/01/2019

Learnable Embedding Space for Efficient Neural Architecture Compression

We propose a method to incrementally learn an embedding space over the d...

14 Shengcao Cao, et al. ∙

∙ 09/26/2018

Developmental Bayesian Optimization of Black-Box with Visual Similarity-Based Transfer Learning

We present a developmental framework based on a long-term memory and rea...

4 Maxime Petit, et al. ∙

∙ 09/17/2018

Computer-Aided Diagnosis of Label-Free 3-D Optical Coherence Microscopy Images of Human Cervical Tissue

Objective: Ultrahigh-resolution optical coherence microscopy (OCM) has r...

0 Yutao Ma, et al. ∙

∙ 08/06/2018

Error Correction Maximization for Deep Image Hashing

We propose to use the concept of the Hamming bound to derive the optimal...

4 Xiang Xu, et al. ∙

∙ 05/01/2018

State Diagrams of a Class of Singular LFSR and Their Applications to the Construction of de Bruijn Cycles

The state diagrams of a class of singular linear feedback shift register...

0 Xiaofang Wang, et al. ∙

∙ 03/09/2018

Image Registration Based Flicker Solving in Video Face Replacement and Analysis Based Sub-pixel Image Registration

In this paper, a framework of video face replacement is proposed and it ...

0 Xiaofang Wang, et al. ∙

∙ 01/09/2018

Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection

Deep CNN-based object detection systems have achieved remarkable success...

0 Yuxing Tang, et al. ∙

∙ 12/28/2017

Discriminative and Geometry Aware Unsupervised Domain Adaptation

Domain adaptation (DA) aims to generalize a learning model across traini...

0 Lingkun Luo, et al. ∙

∙ 05/24/2017

Robust Data Geometric Structure Aligned Close yet Discriminative Domain Adaptation

Domain adaptation (DA) is transfer learning which aims to leverage label...

0 Lingkun Luo, et al. ∙

∙ 04/13/2017

Close Yet Distinctive Domain Adaptation

Domain adaptation is transfer learning which aims to generalize a learni...

0 Lingkun Luo, et al. ∙

∙ 12/12/2016

Deep Supervised Hashing with Triplet Labels

Hashing is one of the most popular and powerful approximate nearest neig...

0 Xiaofang Wang, et al. ∙

∙ 12/08/2016

Contextual Visual Similarity

Measuring visual similarity is critical for image understanding. But wha...

0 Xiaofang Wang, et al. ∙

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