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

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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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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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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Video Generation from Single Semantic Label Map

This paper proposes the novel task of video generation conditioned on a ...
03/11/2019 ∙ by Junting Pan, et al. ∙ 16 ∙ 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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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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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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DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images

Understanding fashion images has been advanced by benchmarks with rich a...
01/23/2019 ∙ by Yuying Ge, et al. ∙ 12 ∙ 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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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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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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Context Encoding for Semantic Segmentation

Recent work has made significant progress in improving spatial resolutio...
03/23/2018 ∙ by Hang Zhang, et al. ∙ 6 ∙ share

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Talking Face Generation by Adversarially Disentangled Audio-Visual Representation

Talking face generation aims to synthesize a sequence of face images tha...
07/20/2018 ∙ by Hang Zhou, et al. ∙ 6 ∙ share

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Unsupervised Bi-directional Flow-based Video Generation from one Snapshot

Imagining multiple consecutive frames given one single snapshot is chall...
03/03/2019 ∙ by Lu Sheng, et al. ∙ 6 ∙ 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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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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Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition

Recognizing visual relationships <subject-predicate-object> among any pa...
07/13/2018 ∙ by Guojun Yin, et al. ∙ 4 ∙ share

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HMS-Net: Hierarchical Multi-scale Sparsity-invariant Network for Sparse Depth Completion

Dense depth cues are important and have wide applications in various com...
08/27/2018 ∙ by Zixuan Huang, et al. ∙ 4 ∙ 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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Exploring Disentangled Feature Representation Beyond Face Identification

This paper proposes learning disentangled but complementary face feature...
04/10/2018 ∙ by Yu Liu, et al. ∙ 2 ∙ share

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Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration

Zero-shot artistic style transfer is an important image synthesis proble...
05/10/2018 ∙ by Lu Sheng, et al. ∙ 2 ∙ share

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PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing

Depth estimation and scene parsing are two particularly important tasks ...
05/11/2018 ∙ by Dan Xu, et al. ∙ 2 ∙ share

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Deep Continuous Conditional Random Fields with Asymmetric Inter-object Constraints for Online Multi-object Tracking

Online Multi-Object Tracking (MOT) is a challenging problem and has many...
06/04/2018 ∙ by Hui Zhou, et al. ∙ 2 ∙ share

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Co-attending Free-form Regions and Detections with Multi-modal Multiplicative Feature Embedding for Visual Question Answering

Recently, the Visual Question Answering (VQA) task has gained increasing...
11/18/2017 ∙ by Pan Lu, et al. ∙ 0 ∙ share

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StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

Although Generative Adversarial Networks (GANs) have shown remarkable su...
10/19/2017 ∙ by Han Zhang, et al. ∙ 0 ∙ share

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Rethinking Feature Discrimination and Polymerization for Large-scale Recognition

Feature matters. How to train a deep network to acquire discriminative f...
10/02/2017 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis

Pedestrian analysis plays a vital role in intelligent video surveillance...
09/28/2017 ∙ by Xihui Liu, et al. ∙ 0 ∙ share

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Visual Question Generation as Dual Task of Visual Question Answering

Recently visual question answering (VQA) and visual question generation ...
09/21/2017 ∙ by Yikang Li, et al. ∙ 0 ∙ share

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Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object Detection

In this paper, we propose a zoom-out-and-in network for generating objec...
09/13/2017 ∙ by Hongyang Li, et al. ∙ 0 ∙ share

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Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-temporal Path Proposals

Vehicle re-identification is an important problem and has many applicati...
08/13/2017 ∙ by Yantao Shen, et al. ∙ 0 ∙ share

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Online Multi-Object Tracking Using CNN-based Single Object Tracker with Spatial-Temporal Attention Mechanism

In this paper, we propose a CNN-based framework for online MOT. This fra...
08/09/2017 ∙ by Qi Chu, et al. ∙ 0 ∙ share

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Unconstrained Fashion Landmark Detection via Hierarchical Recurrent Transformer Networks

Fashion landmarks are functional key points defined on clothes, such as ...
08/07/2017 ∙ by Sijie Yan, et al. ∙ 0 ∙ share

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Identity-Aware Textual-Visual Matching with Latent Co-attention

Textual-visual matching aims at measuring similarities between sentence ...
08/07/2017 ∙ by Shuang Li, et al. ∙ 0 ∙ share

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Learning Feature Pyramids for Human Pose Estimation

Articulated human pose estimation is a fundamental yet challenging task ...
08/03/2017 ∙ by Wei Yang, et al. ∙ 0 ∙ share

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Scene Graph Generation from Objects, Phrases and Region Captions

Object detection, scene graph generation and region captioning, which ar...
07/31/2017 ∙ by Yikang Li, et al. ∙ 0 ∙ share

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Recurrent Scale Approximation for Object Detection in CNN

Since convolutional neural network (CNN) lacks an inherent mechanism to ...
07/29/2017 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection

We propose a convolution neural network based algorithm for simultaneous...
06/14/2017 ∙ by Zhe Wang, et al. ∙ 0 ∙ share

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Learning Deep Representations for Scene Labeling with Semantic Context Guided Supervision

Scene labeling is a challenging classification problem where each input ...
06/08/2017 ∙ by Zhe Wang, et al. ∙ 0 ∙ share

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Learning Cross-Modal Deep Representations for Robust Pedestrian Detection

This paper presents a novel method for detecting pedestrians under adver...
04/08/2017 ∙ by Dan Xu, et al. ∙ 0 ∙ share

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Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation

This paper addresses the problem of depth estimation from a single still...
04/07/2017 ∙ by Dan Xu, et al. ∙ 0 ∙ share

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Multi-Context Attention for Human Pose Estimation

In this paper, we propose to incorporate convolutional neural networks w...
02/24/2017 ∙ by Xiao Chu, et al. ∙ 0 ∙ share

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ViP-CNN: Visual Phrase Guided Convolutional Neural Network

As the intermediate level task connecting image captioning and object de...
02/23/2017 ∙ by Yikang Li, et al. ∙ 0 ∙ share

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Learning Chained Deep Features and Classifiers for Cascade in Object Detection

Cascade is a widely used approach that rejects obvious negative samples ...
02/23/2017 ∙ by Wanli Ouyang, et al. ∙ 0 ∙ share

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Learning Deep Features via Congenerous Cosine Loss for Person Recognition

Person recognition aims at recognizing the same identity across time and...
02/22/2017 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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Object Detection in Videos with Tubelet Proposal Networks

Object detection in videos has drawn increasing attention recently with ...
02/21/2017 ∙ by Kai Kang, et al. ∙ 0 ∙ share

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StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

Synthesizing high-quality images from text descriptions is a challenging...
12/10/2016 ∙ by Han Zhang, et al. ∙ 0 ∙ share

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Pyramid Scene Parsing Network

Scene parsing is challenging for unrestricted open vocabulary and divers...
12/04/2016 ∙ by Hengshuang Zhao, et al. ∙ 0 ∙ share

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CRF-CNN: Modeling Structured Information in Human Pose Estimation

Deep convolutional neural networks (CNN) have achieved great success. On...
11/02/2016 ∙ by Xiao Chu, et al. ∙ 0 ∙ share

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Crafting GBD-Net for Object Detection

The visual cues from multiple support regions of different sizes and res...
10/08/2016 ∙ by Xingyu Zeng, et al. ∙ 0 ∙ share

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Xiaogang Wang

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