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08/10/2023
Counterfactual Cross-modality Reasoning for Weakly Supervised Video Moment Localization
Video moment localization aims to retrieve the target segment of an untr...
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08/07/2023
Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization
Zero-shot skeleton-based action recognition aims to recognize actions of...
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08/03/2023
Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling
Text-to-motion generation has gained increasing attention, but most exis...
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08/02/2023
Spatio-Temporal Branching for Motion Prediction using Motion Increments
Human motion prediction (HMP) has emerged as a popular research topic du...
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05/22/2023
Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning
Molecular representation learning is a crucial task in predicting molecu...
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04/17/2023
Toward Auto-evaluation with Confidence-based Category Relation-aware Regression
Auto-evaluation aims to automatically evaluate a trained model on any te...
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04/13/2023
Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution
How to estimate the uncertainty of a given model is a crucial problem. C...
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02/17/2023
Self-supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences
Self-supervised learning has demonstrated remarkable capability in repre...
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01/17/2023
Statistical inference for the logarithmic spatial heteroskedasticity model with exogenous variables
The spatial dependence in mean has been well studied by plenty of models...
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09/16/2022
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning
As a successful approach to self-supervised learning, contrastive learni...
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09/16/2022
Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity
While self-supervised learning techniques are often used to mining impli...
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06/29/2022
Interventional Contrastive Learning with Meta Semantic Regularizer
Contrastive learning (CL)-based self-supervised learning models learn vi...
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06/21/2022
SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders
Recently, significant progress has been made in masked image modeling to...
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05/28/2022
An efficient polynomial-time approximation scheme for parallel multi-stage open shops
Various new scheduling problems have been arising from practical product...
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05/26/2022
Efficient U-Transformer with Boundary-Aware Loss for Action Segmentation
Action classification has made great progress, but segmenting and recogn...
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05/23/2022
Supporting Vision-Language Model Inference with Causality-pruning Knowledge Prompt
Vision-language models are pre-trained by aligning image-text pairs in a...
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03/10/2022
MetAug: Contrastive Learning via Meta Feature Augmentation
What matters for contrastive learning? We argue that contrastive learnin...
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03/08/2022
Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation
Unsupervised domain adaptation (UDA) requires source domain samples with...
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02/23/2022
Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting
Transformer-based methods have shown great potential in long-term time s...
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09/06/2021
Information Theory-Guided Heuristic Progressive Multi-View Coding
Multi-view representation learning captures comprehensive information fr...
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07/26/2021
Log-Polar Space Convolution for Convolutional Neural Networks
Convolutional neural networks use regular quadrilateral convolution kern...
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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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12/21/2018
A local search 4/3-approximation algorithm for the minimum 3-path partition problem
Given a graph G = (V, E), the 3-path partition problem is to find a mini...
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09/15/2018
