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07/24/2023
A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models
Prompt engineering is a technique that involves augmenting a large pre-t...
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07/21/2023
Distribution Shift Matters for Knowledge Distillation with Webly Collected Images
Knowledge distillation aims to learn a lightweight student network from ...
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07/03/2023
Minimizing Age of Information for Mobile Edge Computing Systems: A Nested Index Approach
Exploiting the computational heterogeneity of mobile devices and edge no...
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06/16/2023
Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph Generation
This paper investigates the problem of scene graph generation in videos ...
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06/03/2023
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models
Various adaptation methods, such as LoRA, prompts, and adapters, have be...
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05/31/2023
Residual Spectrum Applied in Brain Functional Connectivity
Coherence is a widely used measure to assess linear relationships betwee...
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04/28/2023
On Underdamped Nesterov's Acceleration
The high-resolution differential equation framework has been proven to b...
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04/17/2023
An Ethereum-compatible blockchain that explicates and ensures design-level safety properties for smart contracts
Smart contracts are crucial elements of decentralized technologies, but ...
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04/17/2023
A New Representation of Uniform-Block Matrix and Applications
A covariance matrix with a special pattern (e.g., sparsity or block stru...
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03/14/2023
BlinkFlow: A Dataset to Push the Limits of Event-based Optical Flow Estimation
Event cameras provide high temporal precision, low data rates, and high ...
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03/06/2023
The Effect of Substance Use on Brain Ageing: A New Causal Inference Framework for Incomplete and Massive Phenomic Data
Although substance use is known to be associated with cognitive decline ...
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03/06/2023
An Efficient Data Integration Scheme for Synthesizing Information from Multiple Secondary Datasets for the Parameter Inference of the Main Analysis
Many observational studies and clinical trials collect various secondary...
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03/06/2023
Integrative data analysis where partial covariates have complex non-linear effects by using summary information from a real-world data
A full parametric and linear specification may be insufficient to captur...
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02/03/2023
Covariance estimation with uniform blocks
Estimating a covariance matrix is central to high-dimensional data analy...
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12/29/2022
Multi-Agent Deep Reinforcement Learning Based Resource Management in SWIPT Enabled Cellular Networks with H2H/M2M Co-Existence
Machine-to-Machine (M2M) communication is crucial in developing Internet...
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12/12/2022
Revisiting the acceleration phenomenon via high-resolution differential equations
Nesterov's accelerated gradient descent (NAG) is one of the milestones i...
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11/22/2022
Decision-making with Imaginary Opponent Models
Opponent modeling has benefited a controlled agent's decision-making by ...
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11/21/2022
Backdoor Attacks on Multiagent Collaborative Systems
Backdoor attacks on reinforcement learning implant a backdoor in a victi...
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11/20/2022
R2-MLP: Round-Roll MLP for Multi-View 3D Object Recognition
Recently, vision architectures based exclusively on multi-layer perceptr...
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11/17/2022
Social Networks are Divulging Your Identity behind Crypto Addresses
Cryptocurrencies, such as Bitcoin and Ethereum, are becoming increasingl...
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10/02/2022
IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View Synthesis
We present intrinsic neural radiance fields, dubbed IntrinsicNeRF, that ...
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09/19/2022
Gradient Norm Minimization of Nesterov Acceleration: o(1/k^3)
In the history of first-order algorithms, Nesterov's accelerated gradien...
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08/31/2022
Segmentation-guided Domain Adaptation and Data Harmonization of Multi-device Retinal Optical Coherence Tomography using Cycle-Consistent Generative Adversarial Networks
Optical Coherence Tomography(OCT) is a non-invasive technique capturing ...
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08/27/2022
Extra DoF of Near-Field Holographic MIMOCommunications Leveraging Evanescent Waves
In this letter, we consider transceivers with spatially-constrained ante...
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04/26/2022
Robust Audio-Visual Instance Discrimination via Active Contrastive Set Mining
The recent success of audio-visual representation learning can be largel...
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03/24/2022
Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation
We propose a novel style transfer method to quickly create a new visual ...
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02/18/2022
Decentralized Verifiable Mail-in Ballot Counting for Postal Voting
As computer vision is prevalently used for mail-in ballot processing and...
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10/25/2021
Diagnosing Errors in Video Relation Detectors
Video relation detection forms a new and challenging problem in computer...
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10/25/2021
MVT: Multi-view Vision Transformer for 3D Object Recognition
Inspired by the great success achieved by CNN in image recognition, view...
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10/23/2021
Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution
Deep-learning based Super-Resolution (SR) methods have exhibited promisi...
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09/20/2021
Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection?
The deep learning approach to detecting malicious software (malware) is ...
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08/18/2021
Social Fabric: Tubelet Compositions for Video Relation Detection
This paper strives to classify and detect the relationship between objec...
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07/13/2021
Argus: A Fully Transparent Incentive System for Anti-Piracy Campaigns (Extended Version)
Anti-piracy is fundamentally a procedure that relies on collecting data ...
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05/31/2021
Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model
Inspired by biological evolution, we explain the rationality of Vision T...
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05/11/2021
Agatha: Smart Contract for DNN Computation
Smart contract is one of the core features of Ethereum and has inspired ...
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03/30/2021
Contrastive Embedding for Generalized Zero-Shot Learning
Generalized zero-shot learning (GZSL) aims to recognize objects from bot...
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03/01/2021
DR-TANet: Dynamic Receptive Temporal Attention Network for Street Scene Change Detection
Street scene change detection continues to capture researchers' interest...
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02/22/2020
Neural Architecture Search for Compressed Sensing Magnetic Resonance Image Reconstruction
Recent works have demonstrated that deep learning (DL) based compressed ...
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02/23/2019
GANSynth: Adversarial Neural Audio Synthesis
Efficient audio synthesis is an inherently difficult machine learning ta...
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12/20/2018
Formal Specification and Verification of Smart Contracts for Azure Blockchain
In this paper, we describe the formal verification of Smart Contracts of...
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02/09/2018
Adversarial Metric Learning
In the past decades, intensive efforts have been put to design various l...
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01/16/2018
Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift
This paper first answers the question "why do the two most powerful tech...
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11/28/2017
An Efficient Fog-Assisted Unstable Sensor Detection Scheme with Privacy Preserved
The Internet of Thing (IoT) has been a hot topic in both research commun...
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09/28/2016
