Qiang Qiu

Conditional Text-to-Image Generation with Reference Guidance WACV 2026 Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models CVPR 2025 Large Convolutional Model Tuning via Filter Subspace ICLR 2025 Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning ICCV 2025 Sparse Fine-Tuning of Transformers for Generative Tasks ICCV 2025 Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization ICLR 2025 Text Embedding is Not All You Need: Attention Control for Text-to-Image Semantic Alignment with Text Self-Attention Maps CVPR 2025 SSOLE: Rethinking Orthogonal Low-rank Embedding for Self-Supervised Learning ICLR 2025 Consistency Posterior Sampling for Diverse Image Synthesis CVPR 2025 Generative Quanta Color Imaging CVPR 2024 Training Bayesian Neural Networks with Sparse Subspace Variational Inference ICLR 2024 Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort ECCV 2024 Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning CVPR 2024 Structural Re-weighting Improves Graph Domain Adaptation ICML 2023 Binary Latent Diffusion CVPR 2023 Learning To Retain While Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation CVPR 2023 Inner Product-based Neural Network Similarity NIPS 2023 Learning Adversarially Robust Sparse Networks via Weight Reparameterization AAAI 2023 Meta-OLE: Meta-Learned Orthogonal Low-Rank Embedding WACV 2023 Seq-UPS: Sequential Uncertainty-Aware Pseudo-Label Selection for Semi-Supervised Text Recognition WACV 2023 Energy-Inspired Self-Supervised Pretraining for Vision Models ICLR 2023 Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? ICLR 2022 Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters JMLR 2022 Continual Learning with Filter Atom Swapping ICLR 2022 Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models ICML 2021 Exploiting a Zoo of Checkpoints for Unseen Tasks NIPS 2021 Adaptive Convolutions With Per-Pixel Dynamic Filter Atom ICCV 2021 Image Generation using Continuous Filter Atoms NIPS 2021 Learning to Learn Dense Gaussian Processes for Few-Shot Learning NIPS 2021 Spatiotemporal Joint Filter Decomposition in 3D Convolutional Neural Networks NIPS 2021 Graph Convolution with Low-rank Learnable Local Filters ICLR 2021 Learning to Learn with Variational Information Bottleneck for Domain Generalization ECCV 2020 Variational Image Deraining WACV 2020 A Dictionary Approach to Domain-Invariant Learning in Deep Networks NIPS 2020 Model-Agnostic Metric for Zero-Shot Learning WACV 2020 Learning to Learn Variational Semantic Memory NIPS 2020 Stochastic Conditional Generative Networks with Basis Decomposition ICLR 2020 RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks ICLR 2019 Hubless Nearest Neighbor Search for Bilingual Lexicon Induction ACL 2019 Enhancing 2D Representation via Adjacent Views for 3D Shape Retrieval ICCV 2019 Adversarially Learned Representations for Information Obfuscation and Inference ICML 2019 LDMNet: Low Dimensional Manifold Regularized Neural Networks CVPR 2018 ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks ECCV 2018 OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning CVPR 2018 DCFNet: Deep Neural Network with Decomposed Convolutional Filters ICML 2018 Weakly Supervised Instance Segmentation Using Class Peak Response CVPR 2018 Oriented Response Networks CVPR 2017 Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model CVPR 2017 Soft Proposal Networks for Weakly Supervised Object Localization ICCV 2017 Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding CVPR 2017 Discriminative Robust Transformation Learning NIPS 2015 Geometry-Aware Deep Transform ICCV 2015 Learning Transformations for Clustering and Classification JMLR 2015 Subspace Interpolation via Dictionary Learning for Unsupervised Domain Adaptation CVPR 2013