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09/12/2023
IBAFormer: Intra-batch Attention Transformer for Domain Generalized Semantic Segmentation
Domain generalized semantic segmentation (DGSS) is a critical yet challe...
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07/29/2023
CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation
Most nighttime semantic segmentation studies are based on domain adaptat...
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03/23/2023
Disguise without Disruption: Utility-Preserving Face De-Identification
With the increasing ubiquity of cameras and smart sensors, humanity is g...
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03/11/2023
Exploring Cycle Consistency Learning in Interactive Volume Segmentation
Interactive volume segmentation can be approached via two decoupled modu...
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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...
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10/17/2022
Forecasting Human Trajectory from Scene History
Predicting the future trajectory of a person remains a challenging probl...
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10/16/2022
Federated Learning with Privacy-Preserving Ensemble Attention Distillation
Federated Learning (FL) is a machine learning paradigm where many local ...
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09/21/2022
PREF: Predictability Regularized Neural Motion Fields
Knowing the 3D motions in a dynamic scene is essential to many vision ap...
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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...
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09/10/2022
Self-supervised Human Mesh Recovery with Cross-Representation Alignment
Fully supervised human mesh recovery methods are data-hungry and have po...
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07/12/2022
PseudoClick: Interactive Image Segmentation with Click Imitation
The goal of click-based interactive image segmentation is to obtain prec...
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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...
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07/27/2021
Learning Local Recurrent Models for Human Mesh Recovery
We consider the problem of estimating frame-level full human body meshes...
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07/25/2021
Spatio-Temporal Representation Factorization for Video-based Person Re-Identification
Despite much recent progress in video-based person re-identification (re...
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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...
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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 ...
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08/13/2020
Towards Visually Explaining Similarity Models
We consider the problem of visually explaining similarity models, i.e., ...
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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...
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03/09/2020
Hierarchical Kinematic Human Mesh Recovery
We consider the problem of estimating a parametric model of 3D human mes...
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11/18/2019
Towards Visually Explaining Variational Autoencoders
Recent advances in Convolutional Neural Network (CNN) model interpretabi...
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11/18/2019
Towards Robust RGB-D Human Mesh Recovery
We consider the problem of human pose estimation. While much recent work...
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11/18/2019
Learning Similarity Attention
We consider the problem of learning similarity functions. While there ha...
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04/16/2019
Counterfactual Visual Explanations
A counterfactual query is typically of the form 'For situation X, why wa...
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12/01/2018
Multi-View Egocentric Video Summarization
With vast amounts of video content being uploaded to the Internet every ...
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11/29/2018
Incremental Scene Synthesis
We present a method to incrementally generate complete 2D or 3D scenes w...
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11/20/2018
Learning without Memorizing
Incremental learning (IL) is an important task aimed to increase the cap...
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11/19/2018
Re-Identification with Consistent Attentive Siamese Networks
We propose a new deep architecture for person re-identification (re-id)....
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11/19/2018
Reducing Visual Confusion with Discriminative Attention
Recent developments in gradient-based attention modeling have led to imp...
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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...
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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...
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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...
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02/27/2018
Tell Me Where to Look: Guided Attention Inference Network
Weakly supervised learning with only coarse labels can obtain visual exp...
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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...
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11/16/2017
Learning Compositional Visual Concepts with Mutual Consistency
Compositionality of semantic concepts in image synthesis and analysis is...
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07/06/2017
Zero-Shot Deep Domain Adaptation
The existing methods of domain adaptation (DA) work under the assumption...
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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...
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05/31/2016