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08/28/2023
CLNeRF: Continual Learning Meets NeRF
Novel view synthesis aims to render unseen views given a set of calibrat...
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07/20/2023
Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image
Reconstructing accurate 3D scenes from images is a long-standing vision ...
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06/07/2023
Efficient Recruitment Strategy for Collaborative Mobile Crowd Sensing Based on GCN Trustworthiness Prediction
Collaborative Mobile Crowd Sensing (CMCS) enhances data quality and cove...
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05/16/2023
Online Continual Learning Without the Storage Constraint
Online continual learning (OCL) research has primarily focused on mitiga...
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04/10/2023
Revisiting Test Time Adaptation under Online Evaluation
This paper proposes a novel online evaluation protocol for Test Time Ada...
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02/27/2023
Random-Order Enumeration for Self-Reducible NP-Problems
In plenty of data analysis tasks, a basic and time-consuming process is ...
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11/29/2022
SimCS: Simulation for Online Domain-Incremental Continual Segmentation
Continual Learning is a step towards lifelong intelligence where models ...
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10/12/2022
Improving information retention in large scale online continual learning
Given a stream of data sampled from non-stationary distributions, online...
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12/22/2021
An Attention Score Based Attacker for Black-box NLP Classifier
Deep neural networks have a wide range of applications in solving variou...
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08/20/2021
Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data
Continual learning is the problem of learning and retaining knowledge th...
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06/07/2021
Generative Adversarial Networks: A Survey Towards Private and Secure Applications
Generative Adversarial Networks (GAN) have promoted a variety of applica...
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11/05/2020
Collaborative City Digital Twin For Covid-19 Pandemic: A Federated Learning Solution
In this work, we propose a collaborative city digital twin based on FL, ...
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08/30/2020
Adversarial Privacy Preserving Graph Embedding against Inference Attack
Recently, the surge in popularity of Internet of Things (IoT), mobile de...
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01/02/2020
Complexity and Efficient Algorithms for Data Inconsistency Evaluating and Repairing
Data inconsistency evaluating and repairing are major concerns in data q...
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08/06/2019
Consensus Maximization Tree Search Revisited
Consensus maximization is widely used for robust fitting in computer vis...
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11/25/2018
Practical optimal registration of terrestrial LiDAR scan pairs
Point cloud registration is a fundamental problem in 3D scanning. In thi...
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07/25/2018
Deterministic consensus maximization with biconvex programming
Consensus maximization is one of the most widely used robust fitting par...
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02/18/2018