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05/29/2023
Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off
Super-resolution (SR) techniques designed for real-world applications co...
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03/27/2023
Learning a Deep Color Difference Metric for Photographic Images
Most well-established and widely used color difference (CD) metrics are ...
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03/23/2023
Masked Image Training for Generalizable Deep Image Denoising
When capturing and storing images, devices inevitably introduce noise. R...
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03/17/2023
Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions
Multimodality eye disease screening is crucial in ophthalmology as it in...
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03/03/2023
Prior Information based Decomposition and Reconstruction Learning for Micro-Expression Recognition
Micro-expression recognition (MER) draws intensive research interest as ...
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01/24/2023
Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning
Given a model well-trained with a large-scale base dataset, Few-Shot Cla...
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10/05/2022
Hiding Images in Deep Probabilistic Models
Data hiding with deep neural networks (DNNs) has experienced impressive ...
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07/02/2022
Golfer: Trajectory Prediction with Masked Goal Conditioning MnM Network
Transformers have enabled breakthroughs in NLP and computer vision, and ...
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05/24/2022
ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest
Learned embeddings for products are an important building block for web-...
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05/10/2022
KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long-Term Trajectory Prediction
Predicting future trajectories of road agents is a critical task for aut...
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02/25/2022
On Learning and Testing of Counterfactual Fairness through Data Preprocessing
Machine learning has become more important in real-life decision-making ...
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12/14/2021
Geometry-Contrastive Transformer for Generalized 3D Pose Transfer
We present a customized 3D mesh Transformer model for the pose transfer ...
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10/20/2021
AniFormer: Data-driven 3D Animation with Transformer
We present a novel task, i.e., animating a target 3D object through the ...
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08/17/2021
Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer
With the strength of deep generative models, 3D pose transfer regains in...
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07/01/2021
iMiGUE: An Identity-free Video Dataset for Micro-Gesture Understanding and Emotion Analysis
We introduce a new dataset for the emotional artificial intelligence res...
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04/19/2021
Attention in Attention Network for Image Super-Resolution
Convolutional neural networks have allowed remarkable advances in single...
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11/30/2020
Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric
Image quality assessment (IQA) is the key factor for the fast developmen...
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10/14/2020
Statistical Inference for Online Decision Making via Stochastic Gradient Descent
Online decision making aims to learn the optimal decision rule by making...
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10/14/2020
Statistical Inference for Online Decision-Making: In a Contextual Bandit Setting
Online decision-making problem requires us to make a sequence of decisio...
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09/14/2020
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results
This paper reviews the video extreme super-resolution challenge associat...
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08/26/2020
Low Tensor Train- and Low Multilinear Rank Approximations for De-speckling and Compression of 3D Optical Coherence Tomography Images
This paper proposes low tensor-train (TT) rank and low multilinear (ML) ...
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08/10/2020
2nd Place Scheme on Action Recognition Track of ECCV 2020 VIPriors Challenges: An Efficient Optical Flow Stream Guided Framework
To address the problem of training on small datasets for action recognit...
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07/23/2020
PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration
Image quality assessment (IQA) is the key factor for the fast developmen...
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11/11/2019
Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching
Human action recognition from skeleton data, fueled by the Graph Convolu...
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10/19/2016
An Efficient Minibatch Acceptance Test for Metropolis-Hastings
We present a novel Metropolis-Hastings method for large datasets that us...
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11/19/2015
Fast Parallel SAME Gibbs Sampling on General Discrete Bayesian Networks
A fundamental task in machine learning and related fields is to perform ...
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07/05/2015