Jiangtao Xie
11 papers · 2017–2026 · 5 venues · across top CS/AI venues
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Research topics
Machine Learning
(8)
Deep Learning
(6)
Techniques
(5)
Computer Vision
(4)
Artificial Intelligence
(3)
Application Areas
(3)
Architectures
(3)
Core Methods
(3)
Learning Types Β· Machine Learning
(3)
Analysis
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory
(2)
Processing
(2)
Core AI
(1)
Keywords
convolutional neural network
(4)
second-order pooling
(2)
brownian distance covariance
(2)
few-shot learning
(2)
image classification
(2)
representation learning
(2)
covariance matrix
(1)
neural network optimization
(1)
action recognition
(1)
video understanding
(1)
multimodal learning
(1)
feature representation
(1)
vision transformer
(1)
visual recognition
(1)
fine-grained recognition
(1)
feature distribution
(1)
deep architecture
(1)
gpu computing
(1)
second-order statistics
(1)
temporal modeling
(1)
Papers
Task-Specific Distance Correlation Matching for Few-Shot Action Recognition
AAAI 2026
Asymmetric Factorized Bilinear Operation for Vision Transformer
ICLR 2025
DALIP: Distribution Alignment-based Language-Image Pre-Training for Domain-Specific Data
ICCV 2025
TC-LLaVA: Rethinking the Transfer of LLava from Image to Video Understanding with Temporal Considerations
AAAI 2025
DropCov: A Simple yet Effective Method for Improving Deep Architectures
NeurIPS 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification
CVPR 2022
Binocular Mutual Learning for Improving Few-Shot Classification
ICCV 2021
Global Second-Order Pooling Convolutional Networks
CVPR 2019
Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks
NeurIPS 2018
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization
CVPR 2018
Is Second-Order Information Helpful for Large-Scale Visual Recognition?
ICCV 2017