Xiaogang Wang

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SenseTime Corporation ∙ National University of Singapore ∙ Beihang University ∙ The Chinese University of Hong Kong

Associate Professor of Electronic Engineering at The Chinese University of Hongkong

Scalable Transformers for Neural Machine Translation

Transformer has been widely adopted in Neural Machine Translation (NMT) ...
06/04/2021 ∙ by Peng Gao, et al. ∙ 0 ∙ share

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ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search

Human pose estimation has achieved significant progress in recent years....
05/21/2021 ∙ by Lumin Xu, et al. ∙ 3 ∙ share

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Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation

While accurate lip synchronization has been achieved for arbitrary-subje...
04/22/2021 ∙ by Hang Zhou, et al. ∙ 13 ∙ share

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Decoupled Spatial-Temporal Transformer for Video Inpainting

Video inpainting aims to fill the given spatiotemporal holes with realis...
04/14/2021 ∙ by Rui Liu, et al. ∙ 27 ∙ share

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Visually Informed Binaural Audio Generation without Binaural Audios

Stereophonic audio, especially binaural audio, plays an essential role i...
04/13/2021 ∙ by Xudong Xu, et al. ∙ 0 ∙ share

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Semantic Scene Completion via Integrating Instances and Scene in-the-Loop

Semantic Scene Completion aims at reconstructing a complete 3D scene wit...
04/08/2021 ∙ by Yingjie Cai, et al. ∙ 0 ∙ share

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Fixing the Teacher-Student Knowledge Discrepancy in Distillation

Training a small student network with the guidance of a larger teacher n...
03/31/2021 ∙ by Jiangfan Han, et al. ∙ 0 ∙ share

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Learning Fine-Grained Segmentation of 3D Shapes without Part Labels

Learning-based 3D shape segmentation is usually formulated as a semantic...
03/24/2021 ∙ by Xiaogang Wang, et al. ∙ 0 ∙ share

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DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network

Conditional generative adversarial networks (cGANs) target at synthesizi...
03/14/2021 ∙ by Rui Liu, et al. ∙ 4 ∙ share

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PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection

3D object detection is receiving increasing attention from both industry...
01/31/2021 ∙ by Shaoshuai Shi, et al. ∙ 5 ∙ share

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Fast Convergence of DETR with Spatially Modulated Co-Attention

The recently proposed Detection Transformer (DETR) model successfully ap...
01/19/2021 ∙ by Peng Gao, et al. ∙ 8 ∙ share

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Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction

Multi-scale representations deeply learned via convolutional neural netw...
01/08/2021 ∙ by Dan Xu, et al. ∙ 17 ∙ share

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A Holistically-Guided Decoder for Deep Representation Learning with Applications to Semantic Segmentation and Object Detection

Both high-level and high-resolution feature representations are of great...
12/18/2020 ∙ by Jianbo Liu, et al. ∙ 0 ∙ share

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End-to-End Object Detection with Adaptive Clustering Transformer

End-to-end Object Detection with Transformer (DETR)proposes to perform o...
11/18/2020 ∙ by Minghang Zheng, et al. ∙ 0 ∙ share

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A Self-supervised Cascaded Refinement Network for Point Cloud Completion

Point clouds are often sparse and incomplete, which imposes difficulties...
10/17/2020 ∙ by Xiaogang Wang, et al. ∙ 0 ∙ share

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Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation

We propose a general framework for searching surrogate losses for mainst...
10/15/2020 ∙ by Hao Li, et al. ∙ 10 ∙ share

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Deformable DETR: Deformable Transformers for End-to-End Object Detection

DETR has been recently proposed to eliminate the need for many hand-desi...
10/08/2020 ∙ by Xizhou Zhu, et al. ∙ 10 ∙ share

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Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions

We propose a novel algorithm, named Open-Edit, which is the first attemp...
08/04/2020 ∙ by Xihui Liu, et al. ∙ 13 ∙ share

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Point Cloud Completion by Learning Shape Priors

In view of the difficulty in reconstructing object details in point clou...
08/02/2020 ∙ by Xiaogang Wang, et al. ∙ 0 ∙ share

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Gradient Regularized Contrastive Learning for Continual Domain Adaptation

Human beings can quickly adapt to environmental changes by leveraging le...
07/25/2020 ∙ by Peng Su, et al. ∙ 0 ∙ share

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Sep-Stereo: Visually Guided Stereophonic Audio Generation by Associating Source Separation

Stereophonic audio is an indispensable ingredient to enhance human audit...
07/20/2020 ∙ by Hang Zhou, et al. ∙ 7 ∙ share

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3D Human Mesh Regression with Dense Correspondence

Estimating 3D mesh of the human body from a single 2D image is an import...
06/10/2020 ∙ by Wang Zeng, et al. ∙ 0 ∙ share

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StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching

Large-scale synthetic datasets are beneficial to stereo matching but usu...
05/05/2020 ∙ by Rui Liu, et al. ∙ 7 ∙ share

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Cascaded Refinement Network for Point Cloud Completion

Point clouds are often sparse and incomplete. Existing shape completion ...
04/07/2020 ∙ by Xiaogang Wang, et al. ∙ 0 ∙ share

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1st Place Solutions for OpenImage2019 – Object Detection and Instance Segmentation

This article introduces the solutions of the two champion teams, `MMfrui...
03/17/2020 ∙ by Yu Liu, et al. ∙ 7 ∙ share

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KPNet: Towards Minimal Face Detector

The small receptive field and capacity of minimal neural networks limit ...
03/17/2020 ∙ by Guanglu Song, et al. ∙ 7 ∙ share

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Revisiting the Sibling Head in Object Detector

The “shared head for classification and localization” (sibling head), fi...
03/17/2020 ∙ by Guanglu Song, et al. ∙ 0 ∙ share

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Adapting Object Detectors with Conditional Domain Normalization

Real-world object detectors are often challenged by the domain gaps betw...
03/16/2020 ∙ by Peng Su, et al. ∙ 5 ∙ share

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Channel Equilibrium Networks for Learning Deep Representation

Convolutional Neural Networks (CNNs) are typically constructed by stacki...
02/29/2020 ∙ by Wenqi Shao, et al. ∙ 0 ∙ share

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Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation

Monocular 3D object detection task aims to predict the 3D bounding boxes...
02/05/2020 ∙ by Yingjie Cai, et al. ∙ 23 ∙ share

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Single Image Dehazing Using Ranking Convolutional Neural Network

Single image dehazing, which aims to recover the clear image solely from...
01/15/2020 ∙ by Yafei Song, et al. ∙ 0 ∙ share

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PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

We present a novel and high-performance 3D object detection framework, n...
12/31/2019 ∙ by Shaoshuai Shi, et al. ∙ 0 ∙ share

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Search to Distill: Pearls are Everywhere but not the Eyes

Standard Knowledge Distillation (KD) approaches distill the knowledge of...
11/20/2019 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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Fetal cardiovascular decompensation during labor predicted from the individual heart rate: a prospective study in fetal sheep near term and the impact of low sampling rate

We present a novel computerized fetal heart rate intrapartum algorithm f...
11/04/2019 ∙ by Nathan Gold, et al. ∙ 0 ∙ share

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Vision-Infused Deep Audio Inpainting

Multi-modality perception is essential to develop interactive intelligen...
10/24/2019 ∙ by Hang Zhou, et al. ∙ 17 ∙ share

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Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis

Semantic image synthesis aims at generating photorealistic images from s...
10/15/2019 ∙ by Xihui Liu, et al. ∙ 33 ∙ share

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CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval

Text-image cross-modal retrieval is a challenging task in the field of l...
09/12/2019 ∙ by Zihao Wang, et al. ∙ 0 ∙ share

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Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks

Group convolution, which divides the channels of ConvNets into groups, h...
08/16/2019 ∙ by Zhaoyang Zhang, et al. ∙ 0 ∙ share

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Differentiable Learning-to-Group Channels viaGroupable Convolutional Neural Networks

Group convolution, which divides the channels of ConvNets into groups, h...
08/16/2019 ∙ by Zhaoyang Zhang, et al. ∙ 0 ∙ share

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Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once

Modern deep neural networks are often vulnerable to adversarial samples....
08/14/2019 ∙ by Jiangfan Han, et al. ∙ 9 ∙ share

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Interpolated Convolutional Networks for 3D Point Cloud Understanding

Point cloud is an important type of 3D representation. However, directly...
08/13/2019 ∙ by Jiageng Mao, et al. ∙ 4 ∙ share

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Multi-modality Latent Interaction Network for Visual Question Answering

Exploiting relationships between visual regions and question words have ...
08/10/2019 ∙ by Peng Gao, et al. ∙ 14 ∙ share

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Deep Self-Learning From Noisy Labels

ConvNets achieve good results when training from clean data, but learnin...
08/06/2019 ∙ by Jiangfan Han, et al. ∙ 16 ∙ share

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Part-A^2 Net: 3D Part-Aware and Aggregation Neural Network for Object Detection from Point Cloud

In this paper, we propose the part-aware and aggregation neural network ...
07/08/2019 ∙ by Shaoshuai Shi, et al. ∙ 0 ∙ share

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Finding Task-Relevant Features for Few-Shot Learning by Category Traversal

Few-shot learning is an important area of research. Conceptually, humans...
05/27/2019 ∙ by Hongyang Li, et al. ∙ 0 ∙ share

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P2SGrad: Refined Gradients for Optimizing Deep Face Models

Cosine-based softmax losses significantly improve the performance of dee...
05/07/2019 ∙ by Xiao Zhang, et al. ∙ 14 ∙ share

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PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph

Despite some exciting progress on high-quality image generation from str...
05/05/2019 ∙ by Yikang Li, et al. ∙ 0 ∙ share

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AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations

The cosine-based softmax losses and their variants achieve great success...
05/01/2019 ∙ by Xiao Zhang, et al. ∙ 0 ∙ share

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Disentangling Pose from Appearance in Monochrome Hand Images

Hand pose estimation from the monocular 2D image is challenging due to t...
04/16/2019 ∙ by Yikang Li, et al. ∙ 6 ∙ share

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Conditional Adversarial Generative Flow for Controllable Image Synthesis

Flow-based generative models show great potential in image synthesis due...
04/03/2019 ∙ by Rui Liu, et al. ∙ 0 ∙ share

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Xiaogang Wang

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