Qilong Wang

Fine-Grained Generalization via Structuralizing Concept and Feature Space into Commonality, Specificity and Confounding AAAI 2026 Mixture of Style Experts for Diverse Image Stylization CVPR 2026 Test-Time Multi-Prompt Adaptation for Open-Vocabulary Remote Sensing Image Segmentation CVPR 2026 Asymmetric Factorized Bilinear Operation for Vision Transformer ICLR 2025 CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification CVPR 2025 DALIP: Distribution Alignment-based Language-Image Pre-Training for Domain-Specific Data ICCV 2025 Decoupled Multi-Predictor Optimization for Inference-Efficient Model Tuning ICCV 2025 Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark ICLR 2025 Generative Inbetweening through Frame-wise Conditions-Driven Video Generation CVPR 2025 ImagineFSL: Self-Supervised Pretraining Matters on Imagined Base Set for VLM-based Few-shot Learning CVPR 2025 Integrating Visual Interpretation and Linguistic Reasoning for Geometric Problem Solving ICCV 2025 TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition CVPR 2025 Unknown Text Learning for CLIP-based Few-Shot Open-set Recognition ICCV 2025 AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning CVPR 2024 Conditional Controllable Image Fusion NeurIPS 2024 Reliable and Interpretable Personalized Federated Learning CVPR 2023 Tuning Pre-trained Model via Moment Probing ICCV 2023 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 Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters ICCV 2021 Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark CVPR 2021 Temporal-attentive Covariance Pooling Networks for Video Recognition NeurIPS 2021 ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks CVPR 2020 Neural Blind Deconvolution Using Deep Priors CVPR 2020 What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective 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 Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks NeurIPS 2018 Multi-Scale Location-Aware Kernel Representation for Object Detection CVPR 2018 Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization CVPR 2018 Towards Generalized and Efficient Metric Learning on Riemannian Manifold IJCAI 2018 G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition CVPR 2017 Is Second-Order Information Helpful for Large-Scale Visual Recognition? ICCV 2017 Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation 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