Wei Jiang

papers

2,603

total citations

papers (25)

Primitive Generation and Semantic-Related Alignment for Universal Zero-Shot Segmentation

CVPR 2023arXiv

citations

Revisiting Smoothed Online Learning

NEURIPS 2021arXiv

citations

Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation

CVPR 2023arXiv

citations

Summarizing Stream Data for Memory-Constrained Online Continual Learning

AAAI 2024arXiv

citations

Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions

NEURIPS 2021arXiv

citations

ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning

CVPR 2020arXiv

citations

Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization

NEURIPS 2022arXiv

citations

Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees

AAAI 2024arXiv

citations

ECVC: Exploiting Non-Local Correlations in Multiple Frames for Contextual Video Compression

CVPR 2025arXiv

citations

Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor

NEURIPS 2022arXiv

citations

Group Distributionally Robust Dataset Distillation with Risk Minimization

ICLR 2025arXiv

citations

Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond

ICML 2024arXiv

citations

Exploring Contextual Attribute Density in Referring Expression Counting

CVPR 2025arXiv

citations

Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization

ICML 2024arXiv

citations

Small-loss Adaptive Regret for Online Convex Optimization

ICML 2024

citations

LSVC: A Learning-Based Stereo Video Compression Framework

CVPR 2022

citations

Wei Jiang

papers (25)

TransReID: Transformer-Based Object Re-Identification

COTR: Correspondence Transformer for Matching Across Images

NeuMan: Neural Human Radiance Field from a Single Video

DeRF: Decomposed Radiance Fields

Coarse-To-Fine Deep Video Coding With Hyperprior-Guided Mode Prediction

SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation

DREAM: Efficient Dataset Distillation by Representative Matching

MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID

Efficient Dataset Distillation via Minimax Diffusion

Primitive Generation and Semantic-Related Alignment for Universal Zero-Shot Segmentation

Revisiting Smoothed Online Learning

Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation

Summarizing Stream Data for Memory-Constrained Online Continual Learning

Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions

ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning

Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization

Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees

ECVC: Exploiting Non-Local Correlations in Multiple Frames for Contextual Video Compression

Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor

Group Distributionally Robust Dataset Distillation with Risk Minimization

Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond

Exploring Contextual Attribute Density in Referring Expression Counting

Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization

Small-loss Adaptive Regret for Online Convex Optimization

LSVC: A Learning-Based Stereo Video Compression Framework

papers (25)

TransReID: Transformer-Based Object Re-Identification

COTR: Correspondence Transformer for Matching Across Images

NeuMan: Neural Human Radiance Field from a Single Video

DeRF: Decomposed Radiance Fields

Coarse-To-Fine Deep Video Coding With Hyperprior-Guided Mode Prediction

SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation

DREAM: Efficient Dataset Distillation by Representative Matching

MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID

Efficient Dataset Distillation via Minimax Diffusion

Primitive Generation and Semantic-Related Alignment for Universal Zero-Shot Segmentation

Revisiting Smoothed Online Learning

Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation

Summarizing Stream Data for Memory-Constrained Online Continual Learning

Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions

ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning

Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization

Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees

ECVC: Exploiting Non-Local Correlations in Multiple Frames for Contextual Video Compression

Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor

Group Distributionally Robust Dataset Distillation with Risk Minimization

Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond

Exploring Contextual Attribute Density in Referring Expression Counting

Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization

Small-loss Adaptive Regret for Online Convex Optimization

LSVC: A Learning-Based Stereo Video Compression Framework