Qilong Wang
37 papers · 2013–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (11) π Academic Marathon (12) π Conference Polyglot (5) π§ Keyword Pioneer π Renaissance Researcher (5)
π
Renaissance Researcher
(5)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(69)
π€
Dynamic Duo
(20)
π
Keyword Champion
π§¬
Topic Evolution
π₯
Unstoppable
(11)
ποΈ
Keyword Collector
(173)
π
Century Club
(36)
π
Trend Setter
π
Conference Pioneer
β
The Questioner
β‘
Prolific Year
(5)
Conferences
CVPR (19)
ICCV (9)
NIPS (4)
ICLR (2)
IJCAI (2)
AAAI (1)
Top co-authors
Keywords
convolutional neural network
(9)
image classification
(5)
transfer learning
(5)
representation learning
(4)
vision-language model
(3)
few-shot learning
(3)
feature representation
(3)
global covariance pooling
(3)
covariance pooling
(3)
object detection
(3)
zero-shot learning
(2)
model tuning
(2)
kernel methods
(2)
domain adaptation
(2)
riemannian manifold
(2)
fine-grained recognition
(2)
feature distribution
(2)
feature learning
(2)
sparse representation
(2)
metric learning
(2)
Papers
Fine-Grained Generalization via Structuralizing Concept and Feature Space into Commonality, Specificity and Confounding
AAAI 2026
Generative Inbetweening through Frame-wise Conditions-Driven Video Generation
CVPR 2025
Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark
ICLR 2025
Asymmetric Factorized Bilinear Operation for Vision Transformer
ICLR 2025
Decoupled Multi-Predictor Optimization for Inference-Efficient Model Tuning
ICCV 2025
Unknown Text Learning for CLIP-based Few-Shot Open-set Recognition
ICCV 2025
DALIP: Distribution Alignment-based Language-Image Pre-Training for Domain-Specific Data
ICCV 2025
Integrating Visual Interpretation and Linguistic Reasoning for Geometric Problem Solving
ICCV 2025
ImagineFSL: Self-Supervised Pretraining Matters on Imagined Base Set for VLM-based Few-shot Learning
CVPR 2025
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
CVPR 2025
CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification
CVPR 2025
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
CVPR 2024
Conditional Controllable Image Fusion
NIPS 2024
Reliable and Interpretable Personalized Federated Learning
CVPR 2023
Tuning Pre-trained Model via Moment Probing
ICCV 2023
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification
CVPR 2022
DropCov: A Simple yet Effective Method for Improving Deep Architectures
NIPS 2022
Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters
ICCV 2021
Temporal-attentive Covariance Pooling Networks for Video Recognition
NIPS 2021
Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark
CVPR 2021
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
CVPR 2020
What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective
CVPR 2020
Neural Blind Deconvolution Using Deep Priors
CVPR 2020
Deep Global Generalized Gaussian Networks
CVPR 2019
Global Second-Order Pooling Convolutional Networks
CVPR 2019
Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning
IJCAI 2018
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization
CVPR 2018
Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks
NIPS 2018
Multi-Scale Location-Aware Kernel Representation for Object Detection
CVPR 2018
Towards Generalized and Efficient Metric Learning on Riemannian Manifold
IJCAI 2018
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation
CVPR 2017
Is Second-Order Information Helpful for Large-Scale Visual Recognition?
ICCV 2017
G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition
CVPR 2017
RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian With Application to Material Recognition
CVPR 2016
From Dictionary of Visual Words to Subspaces: Locality-Constrained Affine Subspace Coding
CVPR 2015
A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models
ICCV 2013
Log-Euclidean Kernels for Sparse Representation and Dictionary Learning
ICCV 2013