Rong Jin

papers

1,524

total citations

papers (26)

FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting

NEURIPS 2022arXiv

290

citations

Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks

CVPR 2023arXiv

146

citations

KVT: k-NN Attention for Boosting Vision Transformers

ECCV 2022arXiv

132

citations

Learning Position and Target Consistency for Memory-Based Video Object Segmentation

CVPR 2021arXiv

128

citations

Hybrid Relation Guided Set Matching for Few-Shot Action Recognition

CVPR 2022arXiv

citations

CHEX: CHannel EXploration for CNN Model Compression

CVPR 2022arXiv

citations

OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling

NEURIPS 2023arXiv

citations

An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives

NEURIPS 2021arXiv

citations

TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation

ECCV 2022arXiv

citations

Grow and Merge: A Unified Framework for Continuous Categories Discovery

NEURIPS 2022arXiv

citations

Unsupervised Visual Representation Learning by Online Constrained K-Means

CVPR 2022arXiv

citations

Making Vision Transformers Efficient From a Token Sparsification View

CVPR 2023arXiv

citations

Decoupling and Recoupling Spatiotemporal Representation for RGB-D-Based Motion Recognition

CVPR 2022arXiv

citations

Self-Supervised Motion Learning From Static Images

CVPR 2021arXiv

citations

Progressive Backdoor Erasing via Connecting Backdoor and Adversarial Attacks

CVPR 2023arXiv

citations

Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks

NEURIPS 2022arXiv

citations

Learning From Untrimmed Videos: Self-Supervised Video Representation Learning With Hierarchical Consistency

CVPR 2022arXiv

citations

Weakly Supervised Representation Learning With Coarse Labels

ICCV 2021arXiv

citations

Robust Graph Structure Learning via Multiple Statistical Tests

NEURIPS 2022arXiv

citations

Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition

ICCV 2021

citations

Communication Efficient SGD via Gradient Sampling With Bayes Prior

CVPR 2021

citations

One Fits All: Power General Time Series Analysis by Pretrained LM

NEURIPS 2023

citations

Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization

CVPR 2024

citations

Rong Jin

papers (26)

FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting

Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks

KVT: k-NN Attention for Boosting Vision Transformers

Learning Position and Target Consistency for Memory-Based Video Object Segmentation

Hybrid Relation Guided Set Matching for Few-Shot Action Recognition

CHEX: CHannel EXploration for CNN Model Compression

OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling

DR Loss: Improving Object Detection by Distributional Ranking

Improved Fine-Tuning by Better Leveraging Pre-Training Data

Self-Supervised Video Representation Learning by Context and Motion Decoupling

An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives

TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation

Grow and Merge: A Unified Framework for Continuous Categories Discovery

Unsupervised Visual Representation Learning by Online Constrained K-Means

Making Vision Transformers Efficient From a Token Sparsification View

Decoupling and Recoupling Spatiotemporal Representation for RGB-D-Based Motion Recognition

Self-Supervised Motion Learning From Static Images

Progressive Backdoor Erasing via Connecting Backdoor and Adversarial Attacks

Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks

Learning From Untrimmed Videos: Self-Supervised Video Representation Learning With Hierarchical Consistency

Weakly Supervised Representation Learning With Coarse Labels

Robust Graph Structure Learning via Multiple Statistical Tests

Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition

Communication Efficient SGD via Gradient Sampling With Bayes Prior

One Fits All: Power General Time Series Analysis by Pretrained LM

Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization

papers (26)

FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting

Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks

KVT: k-NN Attention for Boosting Vision Transformers

Learning Position and Target Consistency for Memory-Based Video Object Segmentation

Hybrid Relation Guided Set Matching for Few-Shot Action Recognition

CHEX: CHannel EXploration for CNN Model Compression

OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling

DR Loss: Improving Object Detection by Distributional Ranking

Improved Fine-Tuning by Better Leveraging Pre-Training Data

Self-Supervised Video Representation Learning by Context and Motion Decoupling

An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives

TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation

Grow and Merge: A Unified Framework for Continuous Categories Discovery

Unsupervised Visual Representation Learning by Online Constrained K-Means

Making Vision Transformers Efficient From a Token Sparsification View

Decoupling and Recoupling Spatiotemporal Representation for RGB-D-Based Motion Recognition

Self-Supervised Motion Learning From Static Images

Progressive Backdoor Erasing via Connecting Backdoor and Adversarial Attacks

Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks

Learning From Untrimmed Videos: Self-Supervised Video Representation Learning With Hierarchical Consistency

Weakly Supervised Representation Learning With Coarse Labels

Robust Graph Structure Learning via Multiple Statistical Tests

Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition

Communication Efficient SGD via Gradient Sampling With Bayes Prior

One Fits All: Power General Time Series Analysis by Pretrained LM

Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization