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07/26/2023
Actions Speak What You Want: Provably Sample-Efficient Reinforcement Learning of the Quantal Stackelberg Equilibrium from Strategic Feedbacks
We study reinforcement learning (RL) for learning a Quantal Stackelberg ...
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03/27/2023
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding
Medical images usually suffer from image degradation in clinical practic...
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03/20/2023
A Unified Framework of Policy Learning for Contextual Bandit with Confounding Bias and Missing Observations
We study the offline contextual bandit problem, where we aim to acquire ...
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03/15/2023
Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model
We study the incentivized information acquisition problem, where a princ...
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12/24/2022
DiP: Learning Discriminative Implicit Parts for Person Re-Identification
In person re-identification (ReID) tasks, many works explore the learnin...
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08/12/2022
The planted XY model: thermodynamics and inference
In this paper we study a fully connected planted spin glass named the pl...
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04/12/2022
Few-shot Forgery Detection via Guided Adversarial Interpolation
Realistic visual media synthesis is becoming a critical societal issue w...
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03/16/2022
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation
In computer vision, pre-training models based on largescale supervised l...
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12/27/2021
Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic
Actor-critic (AC) algorithms, empowered by neural networks, have had sig...
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10/01/2021
Video Temporal Relationship Mining for Data-Efficient Person Re-identification
This paper is a technical report to our submission to the ICCV 2021 VIPr...
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05/10/2021
Near Interference-Free Space-Time User Scheduling for MmWave Cellular Network
The highly directional beams applied in millimeter wave (mmWave) cellula...
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03/09/2021
ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis
The rapid progress of photorealistic synthesis techniques has reached at...
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09/15/2020
Managing network congestion with a tradable credit scheme: a trip-based MFD approach
This study investigates the efficiency and effectiveness of an area-base...
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07/27/2020
RANDOM MASK: Towards Robust Convolutional Neural Networks
Robustness of neural networks has recently been highlighted by the adver...
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06/16/2020
1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020
This technical report introduces our winning solution to the spatio-temp...
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06/14/2020
Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization
Localizing persons and recognizing their actions from videos is a challe...
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11/19/2019
Defective Convolutional Layers Learn Robust CNNs
Robustness of convolutional neural networks has recently been highlighte...
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05/28/2019
A Gram-Gauss-Newton Method Learning Overparameterized Deep Neural Networks for Regression Problems
First-order methods such as stochastic gradient descent (SGD) are curren...
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04/16/2019
A Deep Optimization Approach for Image Deconvolution
In blind image deconvolution, priors are often leveraged to constrain th...
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04/16/2019
Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation
Deep learning has been widely used for hyperspectral pixel classificatio...
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10/04/2018
Construction D^' Lattices from Quasi-Cyclic Low-Density Parity-Check Codes
Recently, Branco da Silva and Silva described an efficient encoding and ...
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02/07/2018
Spectral Image Visualization Using Generative Adversarial Networks
Spectral images captured by satellites and radio-telescopes are analyzed...
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01/20/2018
Visualization of Hyperspectral Images Using Moving Least Squares
Displaying the large number of bands in a hyper spectral image on a tric...
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08/23/2017
Predicting Aesthetic Score Distribution through Cumulative Jensen-Shannon Divergence
Aesthetic quality prediction is a challenging task in the computer visio...
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10/07/2016