Michael Ying Yang

research

∙ 01/23/2023

HRVQA: A Visual Question Answering Benchmark for High-Resolution Aerial Images

Visual question answering (VQA) is an important and challenging multimod...

Kun Li, et al. ∙

research

∙ 01/04/2023

Attribute-Centric Compositional Text-to-Image Generation

Despite the recent impressive breakthroughs in text-to-image generation,...

Yuren Cong, et al. ∙

research

∙ 11/11/2022

SSGVS: Semantic Scene Graph-to-Video Synthesis

As a natural extension of the image synthesis task, video synthesis has ...

Yuren Cong, et al. ∙

research

∙ 10/08/2022

Flow-based GAN for 3D Point Cloud Generation from a Single Image

Generating a 3D point cloud from a single 2D image is of great importanc...

Yao Wei, et al. ∙

research

∙ 09/16/2022

GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model

Trajectory prediction has been a long-standing problem in intelligent sy...

Hao Cheng, et al. ∙

research

∙ 01/27/2022

RelTR: Relation Transformer for Scene Graph Generation

Different objects in the same scene are more or less related to each oth...

Yuren Cong, et al. ∙

research

∙ 08/05/2021

Disentangled Lifespan Face Synthesis

A lifespan face synthesis (LFS) model aims to generate a set of photo-re...

Sen He, et al. ∙

research

∙ 07/26/2021

Spatial-Temporal Transformer for Dynamic Scene Graph Generation

Dynamic scene graph generation aims at generating a scene graph of the g...

Yuren Cong, et al. ∙

research

∙ 05/05/2021

Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images

Humans perceive and construct the surrounding world as an arrangement of...

Florian Kluger, et al. ∙

research

∙ 04/01/2021

Text to Image Generation with Semantic-Spatial Aware GAN

A text to image generation (T2I) model aims to generate photo-realistic ...

Wentong Liao, et al. ∙

research

∙ 03/22/2021

Context-Aware Layout to Image Generation with Enhanced Object Appearance

A layout to image (L2I) generation model aims to generate a complicated ...

Sen He, et al. ∙

research

∙ 02/05/2021

Bidirectional Multi-scale Attention Networks for Semantic Segmentation of Oblique UAV Imagery

Semantic segmentation for aerial platforms has been one of the fundament...

Ye Lyu, et al. ∙

research

∙ 12/19/2020

Self-supervised monocular depth estimation from oblique UAV videos

UAVs have become an essential photogrammetric measurement as they are af...

Logambal Madhuanand, et al. ∙

research

∙ 12/18/2020

LGENet: Local and Global Encoder Network for Semantic Segmentation of Airborne Laser Scanning Point Clouds

Interpretation of Airborne Laser Scanning (ALS) point clouds is a critic...

Yaping Lin, et al. ∙

research

∙ 12/07/2020

Boosting Image Super-Resolution Via Fusion of Complementary Information Captured by Multi-Modal Sensors

Image Super-Resolution (SR) provides a promising technique to enhance th...

Fan Wang, et al. ∙

research

∙ 11/02/2020

CABiNet: Efficient Context Aggregation Network for Low-Latency Semantic Segmentation

With the increasing demand of autonomous machines, pixel-wise semantic s...

Saumya Kumaar, et al. ∙

research

∙ 10/30/2020

Exploring Dynamic Context for Multi-path Trajectory Prediction

To accurately predict future positions of different agents in traffic sc...

Hao Cheng, et al. ∙

research

∙ 06/22/2020

DiRS: On Creating Benchmark Datasets for Remote Sensing Image Interpretation

The past decade has witnessed great progress on remote sensing (RS) imag...

Yang Long, et al. ∙

research

∙ 06/15/2020

AMENet: Attentive Maps Encoder Network for Trajectory Prediction

Trajectory prediction is a crucial task in different communities, such a...

Hao Cheng, et al. ∙

research

∙ 05/28/2020

LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery

State-of-the-art object detection approaches such as Fast/Faster R-CNN, ...

Wentong Liao, et al. ∙

research

∙ 03/02/2020

Plug Play Convolutional Regression Tracker for Video Object Detection

Video object detection targets to simultaneously localize the bounding b...

Ye Lyu, et al. ∙

research

∙ 01/14/2020

NODIS: Neural Ordinary Differential Scene Understanding

Semantic image understanding is a challenging topic in computer vision. ...

Cong Yuren, et al. ∙

research

∙ 01/08/2020

CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus

We present a robust estimator for fitting multiple parametric models of ...

Florian Kluger, et al. ∙

research

∙ 12/09/2019

Deep Neural Network for Fast and Accurate Single Image Super-Resolution via Channel-Attention-based Fusion of Orientation-aware Features

Recently, Convolutional Neural Networks (CNNs) have been successfully ad...

Du Chen, et al. ∙

research

∙ 09/30/2019

LIP: Learning Instance Propagation for Video Object Segmentation

In recent years, the task of segmenting foreground objects from backgrou...

Ye Lyu, et al. ∙

research

∙ 07/23/2019

Temporally Consistent Horizon Lines

The horizon line is an important geometric feature for many image proces...

Florian Kluger, et al. ∙

research

∙ 04/07/2019

Unsupervised Domain Adaptation for Multispectral Pedestrian Detection

Multimodal information (e.g., visible and thermal) can generate robust p...

Dayan Guan, et al. ∙

research

∙ 04/03/2019

Exploring the Semantics for Visual Relationship Detection

Scene graph construction / visual relationship detection from an image a...

Wentong Liao, et al. ∙

research

∙ 02/14/2019

Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection

Effective fusion of complementary information captured by multi-modal se...

Yanpeng Cao, et al. ∙

research

∙ 10/26/2018

Security Event Recognition for Visual Surveillance

With rapidly increasing deployment of surveillance cameras, the reliable...

Michael Ying Yang, et al. ∙

research

∙ 10/24/2018

The UAVid Dataset for Video Semantic Segmentation

Video semantic segmentation has been one of the research focus in comput...

Ye Lyu, et al. ∙

research

∙ 07/25/2018

Change Detection between Multimodal Remote Sensing Data Using Siamese CNN

Detecting topographic changes in the urban environment has always been a...

Zhenchao Zhang, et al. ∙

research

∙ 07/25/2018

Patch-based Evaluation of Dense Image Matching Quality

Airborne laser scanning and photogrammetry are two main techniques to ob...

Zhenchao Zhang, et al. ∙

research

∙ 02/27/2018

Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection

Multispectral pedestrian detection has received extensive attention in r...

Dayan Guan, et al. ∙

research

∙ 02/09/2018

Temporally Object-based Video Co-Segmentation

In this paper, we propose an unsupervised video object co-segmentation f...

Michael Ying Yang, et al. ∙

research

∙ 02/09/2018

Slice Sampling Particle Belief Propagation

Inference in continuous label Markov random fields is a challenging task...

Oliver Mueller, et al. ∙

research

∙ 02/09/2018

Unsupervised Deep Domain Adaptation for Pedestrian Detection

This paper addresses the problem of unsupervised domain adaptation on th...

Lihang Liu, et al. ∙

research

∙ 02/09/2018

Video Event Recognition and Anomaly Detection by Combining Gaussian Process and Hierarchical Dirichlet Process Models

In this paper, we present an unsupervised learning framework for analyzi...

Michael Ying Yang, et al. ∙

research

∙ 02/09/2018

Triplet-based Deep Similarity Learning for Person Re-Identification

In recent years, person re-identification (re-id) catches great attentio...

Wentong Liao, et al. ∙

research

∙ 01/22/2018

Vehicle Detection in Aerial Images

The detection of vehicles in aerial images is widely applied in many app...

Michael Ying Yang, et al. ∙

research

∙ 11/16/2017

Natural Language Guided Visual Relationship Detection

Reasoning about the relationships between object pairs in images is a cr...

Wentong Liao, et al. ∙

research

∙ 09/18/2017

Learning a Fully Convolutional Network for Object Recognition using very few Data

In recent years, data-driven methods have shown great success for extrac...

Christoph Reinders, et al. ∙

research

∙ 09/06/2017

Towards Automated Cadastral Boundary Delineation from UAV Data

Unmanned aerial vehicles (UAV) are evolving as an alternative tool to ac...

Sophie Crommelinck, et al. ∙

research

∙ 07/08/2017

Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection

We present a novel approach for vanishing point detection from uncalibra...

Florian Kluger, et al. ∙

research

∙ 02/26/2017

Analyzing Modular CNN Architectures for Joint Depth Prediction and Semantic Segmentation

This paper addresses the task of designing a modular neural network arch...

Omid Hosseini Jafari, et al. ∙

research

∙ 01/24/2017

Motion Segmentation via Global and Local Sparse Subspace Optimization

In this paper, we propose a new framework for segmenting feature-based m...

Michael Ying Yang, et al. ∙

research

∙ 10/03/2016

Real-Time RGB-D based Template Matching Pedestrian Detection

Pedestrian detection is one of the most popular topics in computer visio...

Omid Hosseini Jafari, et al. ∙

research

∙ 10/03/2016

Can Ground Truth Label Propagation from Video help Semantic Segmentation?

For state-of-the-art semantic segmentation task, training convolutional ...

Siva Karthik Mustikovela, et al. ∙

research

∙ 09/19/2016

On Support Relations and Semantic Scene Graphs

Scene understanding is a popular and challenging topic in both computer ...

Michael Ying Yang, et al. ∙

Michael Ying Yang

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