b'Ziyan Wu'

research

∙ 09/12/2023

IBAFormer: Intra-batch Attention Transformer for Domain Generalized Semantic Segmentation

Domain generalized semantic segmentation (DGSS) is a critical yet challe...

0 Qiyu Sun, et al. ∙

research

∙ 07/29/2023

CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation

Most nighttime semantic segmentation studies are based on domain adaptat...

0 Ruihao Xia, et al. ∙

research

∙ 03/23/2023

Disguise without Disruption: Utility-Preserving Face De-Identification

With the increasing ubiquity of cameras and smart sensors, humanity is g...

0 Zikui Cai, et al. ∙

research

∙ 03/11/2023

Exploring Cycle Consistency Learning in Interactive Volume Segmentation

Interactive volume segmentation can be approached via two decoupled modu...

0 Qin Liu, et al. ∙

research

∙ 12/10/2022

Progressive Multi-view Human Mesh Recovery with Self-Supervision

To date, little attention has been given to multi-view 3D human mesh est...

0 Xuan Gong, et al. ∙

research

∙ 10/17/2022

Forecasting Human Trajectory from Scene History

Predicting the future trajectory of a person remains a challenging probl...

0 Mancheng Meng, et al. ∙

research

∙ 10/16/2022

Federated Learning with Privacy-Preserving Ensemble Attention Distillation

Federated Learning (FL) is a machine learning paradigm where many local ...

0 Xuan Gong, et al. ∙

research

∙ 09/21/2022

PREF: Predictability Regularized Neural Motion Fields

Knowing the 3D motions in a dynamic scene is essential to many vision ap...

0 Liangchen Song, et al. ∙

research

∙ 09/10/2022

Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation

Federated Learning (FL) is a machine learning paradigm where local nodes...

0 Xuan Gong, et al. ∙

research

∙ 09/10/2022

Self-supervised Human Mesh Recovery with Cross-Representation Alignment

Fully supervised human mesh recovery methods are data-hungry and have po...

0 Xuan Gong, et al. ∙

research

∙ 07/12/2022

PseudoClick: Interactive Image Segmentation with Click Imitation

The goal of click-based interactive image segmentation is to obtain prec...

0 Qin Liu, et al. ∙

research

∙ 12/23/2021

Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis

We consider the problem of abnormality localization for clinical applica...

20 Xi Ouyang, et al. ∙

research

∙ 07/27/2021

Learning Local Recurrent Models for Human Mesh Recovery

We consider the problem of estimating frame-level full human body meshes...

2 Runze Li, et al. ∙

research

∙ 07/25/2021

Spatio-Temporal Representation Factorization for Video-based Person Re-Identification

Despite much recent progress in video-based person re-identification (re...

6 Abhishek Aich, et al. ∙

research

∙ 07/13/2021

Everybody Is Unique: Towards Unbiased Human Mesh Recovery

We consider the problem of obese human mesh recovery, i.e., fitting a pa...

9 Ren Li, et al. ∙

research

∙ 05/01/2021

A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts

Despite substantial progress in applying neural networks (NN) to a wide ...

15 Yunhao Ge, et al. ∙

research

∙ 08/13/2020

Towards Visually Explaining Similarity Models

We consider the problem of visually explaining similarity models, i.e., ...

17 Meng Zheng, et al. ∙

research

∙ 04/06/2020

Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19

The pandemic of coronavirus disease 2019 (COVID-19) is spreading all ove...

18 Feng Shi, et al. ∙

research

∙ 03/09/2020

Hierarchical Kinematic Human Mesh Recovery

We consider the problem of estimating a parametric model of 3D human mes...

5 Georgios Georgakis, et al. ∙

research

∙ 11/18/2019

Towards Visually Explaining Variational Autoencoders

Recent advances in Convolutional Neural Network (CNN) model interpretabi...

85 Wenqian Liu, et al. ∙

research

∙ 11/18/2019

Towards Robust RGB-D Human Mesh Recovery

We consider the problem of human pose estimation. While much recent work...

0 Ren Li, et al. ∙

research

∙ 11/18/2019

Learning Similarity Attention

We consider the problem of learning similarity functions. While there ha...

0 Meng Zheng, et al. ∙

research

∙ 04/16/2019

Counterfactual Visual Explanations

A counterfactual query is typically of the form 'For situation X, why wa...

24 Yash Goyal, et al. ∙

research

∙ 12/01/2018

Multi-View Egocentric Video Summarization

With vast amounts of video content being uploaded to the Internet every ...

0 Mohamed Elfeki, et al. ∙

research

∙ 11/29/2018

Incremental Scene Synthesis

We present a method to incrementally generate complete 2D or 3D scenes w...

4 Benjamin Planche, et al. ∙

research

∙ 11/20/2018

Learning without Memorizing

Incremental learning (IL) is an important task aimed to increase the cap...

0 Prithviraj Dhar, et al. ∙

research

∙ 11/19/2018

Re-Identification with Consistent Attentive Siamese Networks

We propose a new deep architecture for person re-identification (re-id)....

0 Meng Zheng, et al. ∙

research

∙ 11/19/2018

Reducing Visual Confusion with Discriminative Attention

Recent developments in gradient-based attention modeling have led to imp...

0 Lezi Wang, et al. ∙

research

∙ 11/18/2018

Matching RGB Images to CAD Models for Object Pose Estimation

We propose a novel method for 3D object pose estimation in RGB images, w...

0 Georgios Georgakis, et al. ∙

research

∙ 10/09/2018

Seeing Beyond Appearance - Mapping Real Images into Geometrical Domains for Unsupervised CAD-based Recognition

While convolutional neural networks are dominating the field of computer...

2 Benjamin Planche, et al. ∙

research

∙ 04/24/2018

Keep it Unreal: Bridging the Realism Gap for 2.5D Recognition with Geometry Priors Only

With the increasing availability of large databases of 3D CAD models, de...

0 Sergey Zakharov, et al. ∙

research

∙ 02/27/2018

Tell Me Where to Look: Guided Attention Inference Network

Weakly supervised learning with only coarse labels can obtain visual exp...

0 Kunpeng Li, et al. ∙

research

∙ 02/22/2018

End-to-end learning of keypoint detector and descriptor for pose invariant 3D matching

Finding correspondences between images or 3D scans is at the heart of ma...

0 Georgios Georgakis, et al. ∙

research

∙ 11/16/2017

Learning Compositional Visual Concepts with Mutual Consistency

Compositionality of semantic concepts in image synthesis and analysis is...

0 Yunye Gong, et al. ∙

research

∙ 07/06/2017

Zero-Shot Deep Domain Adaptation

The existing methods of domain adaptation (DA) work under the assumption...

0 Kuan-Chuan Peng, et al. ∙

research

∙ 02/27/2017

DepthSynth: Real-Time Realistic Synthetic Data Generation from CAD Models for 2.5D Recognition

Recent progress in computer vision has been dominated by deep neural net...

0 Benjamin Planche, et al. ∙

research

∙ 05/31/2016

A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets

Person re-identification (re-id) is a critical problem in video analytic...

0 Srikrishna Karanam, et al. ∙

Ziyan Wu

Featured Co-authors