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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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05/12/2023
Model-based Programming: Redefining the Atomic Unit of Programming for the Deep Learning Era
This paper introduces and explores a new programming paradigm, Model-bas...
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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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10/16/2022
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
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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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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06/02/2020
Compressive Subspace Learning with Antenna Cross-correlations for Wideband Spectrum Sensing
Compressive subspace learning (CSL) with the exploitation of space diver...
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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
Learning Similarity Attention
We consider the problem of learning similarity functions. While there ha...
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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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08/16/2018
