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09/14/2023
Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance
In real-world scenarios, typical visual recognition systems could fail u...
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03/29/2023
ALUM: Adversarial Data Uncertainty Modeling from Latent Model Uncertainty Compensation
It is critical that the models pay attention not only to accuracy but al...
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03/29/2023
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness
It is broadly known that deep neural networks are susceptible to being f...
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03/16/2023
Adaptive Modeling of Uncertainties for Traffic Forecasting
Deep neural networks (DNNs) have emerged as a dominant approach for deve...
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02/10/2023
Multicategory Matched Learning for Estimating Optimal Individualized Treatment Rules in Observational Studies with Application to a Hepatocellular Carcinoma Study
One primary goal of precision medicine is to estimate the individualized...
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01/28/2023
A Survey on Approximate Multiplier Designs for Energy Efficiency: From Algorithms to Circuits
Given the stringent requirements of energy efficiency for Internet-of-Th...
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04/24/2022
An empirical study of the effect of background data size on the stability of SHapley Additive exPlanations (SHAP) for deep learning models
Nowadays, the interpretation of why a machine learning (ML) model makes ...
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01/25/2022
SA-VQA: Structured Alignment of Visual and Semantic Representations for Visual Question Answering
Visual Question Answering (VQA) attracts much attention from both indust...
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12/19/2021
A Novel Load Balancing Scheme for Mobile Edge Computing
To overcome long propagation delays for data exchange between the remote...
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10/10/2021
Morphable Detector for Object Detection on Demand
Many emerging applications of intelligent robots need to explore and und...
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09/21/2021
Towards a Fairness-Aware Scoring System for Algorithmic Decision-Making
Scoring systems, as simple classification models, have significant advan...
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07/19/2021
Unsupervised Embedding Learning from Uncertainty Momentum Modeling
Existing popular unsupervised embedding learning methods focus on enhanc...
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03/24/2021
Beyond Visual Attractiveness: Physically Plausible Single Image HDR Reconstruction for Spherical Panoramas
HDR reconstruction is an important task in computer vision with many ind...
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03/07/2021
MetaView: Few-shot Active Object Recognition
In robot sensing scenarios, instead of passively utilizing human capture...
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12/13/2020
Contrastive Learning for Label-Efficient Semantic Segmentation
Collecting labeled data for the task of semantic segmentation is expensi...
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08/15/2020
Object Detection with a Unified Label Space from Multiple Datasets
Given multiple datasets with different label spaces, the goal of this wo...
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08/11/2020
Exposing Deep-faked Videos by Anomalous Co-motion Pattern Detection
Recent deep learning based video synthesis approaches, in particular wit...
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06/13/2020
Uncertainty-aware Score Distribution Learning for Action Quality Assessment
Assessing action quality from videos has attracted growing attention in ...
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08/09/2019
Recognizing Part Attributes with Insufficient Data
Recognizing attributes of objects and their parts is important to many c...
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05/16/2019
Bimodal Stereo: Joint Shape and Pose Estimation from Color-Depth Image Pair
Mutual calibration between color and depth cameras is a challenging topi...
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03/16/2019
Visual Query Answering by Entity-Attribute Graph Matching and Reasoning
Visual Query Answering (VQA) is of great significance in offering people...
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11/27/2018
A Compositional Textual Model for Recognition of Imperfect Word Images
Printed text recognition is an important problem for industrial OCR syst...
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07/17/2018
A Modulation Module for Multi-task Learning with Applications in Image Retrieval
Multi-task learning has been widely adopted in many computer vision task...
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03/23/2018
Fictitious GAN: Training GANs with Historical Models
Generative adversarial networks (GANs) are powerful tools for learning g...
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05/12/2014
Cross-view Action Modeling, Learning and Recognition
Existing methods on video-based action recognition are generally view-de...
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04/17/2014