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Qilong Wang

37 papers · 2013–2026 · 6 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ 🐝 Cross-Pollinator (11) πŸƒ Academic Marathon (12) 🌍 Conference Polyglot (5) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5)
🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (69) 🀝 Dynamic Duo (20) πŸ† Keyword Champion 🧬 Topic Evolution πŸ”₯ Unstoppable (11) πŸ—ƒοΈ Keyword Collector (173) πŸ’Ž Century Club (36) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ❓ The Questioner ⚑ Prolific Year (5)

Conferences

CVPR (19) ICCV (9) NIPS (4) ICLR (2) IJCAI (2) AAAI (1)

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