Xiang Wu | DeepAI

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344 publications
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∙ 09/14/2023

GRID: Scene-Graph-based Instruction-driven Robotic Task Planning

Recent works have shown that Large Language Models (LLMs) can promote gr...

0 Zhe Ni, et al. ∙

∙ 08/04/2022

Developmental Network Two, Its Optimality, and Emergent Turing Machines

Strong AI requires the learning engine to be task non-specific and to au...

0 Juyang Weng, et al. ∙

∙ 04/27/2021

One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning

Deep learning models in large-scale machine learning systems are often c...

0 Chaosheng Dong, et al. ∙

∙ 01/21/2021

CM-NAS: Rethinking Cross-Modality Neural Architectures for Visible-Infrared Person Re-Identification

Visible-Infrared person re-identification (VI-ReID) aims at matching cro...

0 Chaoyou Fu, et al. ∙

∙ 09/20/2020

DVG-Face: Dual Variational Generation for Heterogeneous Face Recognition

Heterogeneous Face Recognition (HFR) refers to matching cross-domain fac...

2 Chaoyou Fu, et al. ∙

∙ 09/17/2020

Deep Momentum Uncertainty Hashing

Discrete optimization is one of the most intractable problems in deep ha...

14 Chaoyou Fu, et al. ∙

∙ 08/12/2020

TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search

With the flourish of differentiable neural architecture search (NAS), au...

0 Yibo Hu, et al. ∙

∙ 12/19/2019

HAMBox: Delving into Online High-quality Anchors Mining for Detecting Outer Faces

Current face detectors utilize anchors to frame a multi-task learning pr...

2 Yang Liu, et al. ∙

∙ 12/18/2019

Class Regularization: Improve Few-shot Image Classification by Reducing Meta Shift

Few-shot image classification requires the classifier to robustly cope w...

0 Da Chen, et al. ∙

∙ 08/27/2019

New Loss Functions for Fast Maximum Inner Product Search

Quantization based methods are popular for solving large scale maximum i...

11 Ruiqi Guo, et al. ∙

∙ 06/02/2019

Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network

High accuracy video label prediction (classification) models are attribu...

0 Feng Mao, et al. ∙

∙ 04/28/2019

Low-Rank Principal Eigenmatrix Analysis

Sparse PCA is a widely used technique for high-dimensional data analysis...

12 Krishna Balasubramanian, et al. ∙

∙ 03/30/2019

M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis

Facial images in surveillance or mobile scenarios often have large view-...

0 Peipei Li, et al. ∙

∙ 03/30/2019

UVA: A Universal Variational Framework for Continuous Age Analysis

Conventional methods for facial age analysis tend to utilize accurate ag...

0 Peipei Li, et al. ∙

∙ 03/28/2019

High Fidelity Face Manipulation with Extreme Pose and Expression

Face manipulation has shown remarkable advances with the flourish of Gen...

10 Chaoyou Fu, et al. ∙

∙ 03/25/2019

Local Orthogonal Decomposition for Maximum Inner Product Search

Inverted file and asymmetric distance computation (IVFADC) have been suc...

8 Xiang Wu, et al. ∙

∙ 03/25/2019

Dual Variational Generation for Low-Shot Heterogeneous Face Recognition

Heterogeneous Face Recognition (HFR) is a challenging issue because of t...

0 Chaoyou Fu, et al. ∙

∙ 03/20/2019

Efficient Inner Product Approximation in Hybrid Spaces

Many emerging use cases of data mining and machine learning operate on l...

10 Xiang Wu, et al. ∙

∙ 10/11/2018

A Blended Deep Learning Approach for Predicting User Intended Actions

User intended actions are widely seen in many areas. Forecasting these a...

0 Fei Tan, et al. ∙

∙ 09/07/2018

Neurons Merging Layer: Towards Progressive Redundancy Reduction for Deep Supervised Hashing

Deep supervised hashing has become an active topic in web search and inf...

0 Chaoyou Fu, et al. ∙

∙ 09/06/2018

Disentangled Variational Representation for Heterogeneous Face Recognition

Visible (VIS) to near infrared (NIR) face matching is a challenging prob...

0 Xiang Wu, et al. ∙

∙ 09/12/2017

Adversarial Discriminative Heterogeneous Face Recognition

The gap between sensing patterns of different face modalities remains a ...

0 Lingxiao Song, et al. ∙

∙ 09/12/2017

Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification

Makeup is widely used to improve facial attractiveness and is well accep...

0 Yi Li, et al. ∙

∙ 08/08/2017

Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition

Heterogeneous face recognition (HFR) aims to match facial images acquire...

0 Ran He, et al. ∙

∙ 04/08/2017

Coupled Deep Learning for Heterogeneous Face Recognition

Heterogeneous face matching is a challenge issue in face recognition due...

0 Xiang Wu, et al. ∙

∙ 11/09/2015

A Light CNN for Deep Face Representation with Noisy Labels

Convolution neural network (CNN) has significantly pushed forward the de...

0 Xiang Wu, et al. ∙

∙ 07/17/2015

Learning Robust Deep Face Representation

With the development of convolution neural network, more and more resear...

0 Xiang Wu, et al. ∙

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