Lingqiao Liu

Revisiting Vision-Language Foundations for No-Reference Image Quality Assessment WACV 2026 ReFINE: A Reward-Based Framework for Interpretable and Nuanced Evaluation of Radiology Report Generation AAAI 2026 HiTVideo: Hierarchical Tokenizers for Enhancing Text-to-Video Generation with Autoregressive Large Language Models AAAI 2026 MoSCo: Real-time and Efficient Text-to-Motion Synthesis via Delta Training WACV 2026 One Last Attention for Your Vision-Language Model ICCV 2025 Efficiently Selecting Response Generation Strategies for Synthetic Data Construction by Self-Aligned Perplexity EMNLP 2025 Enhancing Close-up Novel View Synthesis via Pseudo-labeling AAAI 2025 Attention-Driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models Without Fine-Tuning AAAI 2025 A Simple-but-Effective Baseline for Training-Free Class-Agnostic Counting WACV 2025 PedCLIP: A Vision-Language model for Pediatric X-rays with Mixture of Body part Experts MICCAI 2025 On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition ECCV 2024 Semantic Role Labeling Guided Out-of-distribution Detection COLING 2024 LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization NIPS 2024 I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses EMNLP 2024 Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors CVPR 2024 Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework CVPR 2024 MRScore: Evaluating Medical Report with LLM-based Reward System MICCAI 2024 KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models MICCAI 2024 Toward Re-Identifying Any Animal NIPS 2023 Learning Common Rationale To Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems CVPR 2023 Improved Test-Time Adaptation for Domain Generalization CVPR 2023 METransformer: Radiology Report Generation by Transformer With Multiple Learnable Expert Tokens CVPR 2023 The CLIP Model is Secretly an Image-to-Prompt Converter NIPS 2023 Zero-Shot Slot Filling with Slot-Prefix Prompting and Attention Relationship Descriptor AAAI 2023 Domain Generalization via Rationale Invariance ICCV 2023 Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future EMNLP 2023 ZegCLIP: Towards Adapting CLIP for Zero-Shot Semantic Segmentation CVPR 2023 Learning Conditional Attributes for Compositional Zero-Shot Learning CVPR 2023 Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism ECCV 2022 OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time Training NIPS 2022 Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization NIPS 2022 Self-Supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection CVPR 2022 Dynamically Transformed Instance Normalization Network for Generalizable Person Re-identification ECCV 2022 UOA at the FinNLP-2022 ERAI Task: Leveraging the Class Label Description for Financial Opinion Mining EMNLP 2022 Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model EMNLP 2022 Progressive Class Semantic Matching for Semi-supervised Text Classification NAACL 2022 Don’t Miss the Labels: Label-semantic Augmented Meta-Learner for Few-Shot Text Classification IJCNLP 2021 Contextualize Knowledge Bases with Transformer for End-to-end Task-Oriented Dialogue Systems EMNLP 2021 Don’t Miss the Labels: Label-semantic Augmented Meta-Learner for Few-Shot Text Classification ACL 2021 Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks ECCV 2020 Training Quantized Neural Networks With a Full-Precision Auxiliary Module CVPR 2020 V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices AAAI 2020 A Generative Adversarial Density Estimator CVPR 2019 Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection ICCV 2019 Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation CVPR 2019 Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal ECCV 2018 Towards Effective Low-Bitwidth Convolutional Neural Networks CVPR 2018 From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur CVPR 2017 Towards Context-Aware Interaction Recognition for Visual Relationship Detection ICCV 2017 Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation ICCV 2017 Multi-Attention Network for One Shot Learning CVPR 2017 Sequential Person Recognition in Photo Albums With a Recurrent Network CVPR 2017 Graph-Structured Representations for Visual Question Answering CVPR 2017 Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning From Web Data CVPR 2017 Less Is More: Zero-Shot Learning From Online Textual Documents With Noise Suppression CVPR 2016 What's Wrong With That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution CVPR 2016 What Value Do Explicit High Level Concepts Have in Vision to Language Problems? CVPR 2016 Mid-Level Deep Pattern Mining CVPR 2015 The Treasure Beneath Convolutional Layers: Cross-Convolutional-Layer Pooling for Image Classification CVPR 2015 Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors NIPS 2014 A Scalable Unsupervised Feature Merging Approach to Efficient Dimensionality Reduction of High-Dimensional Visual Data ICCV 2013 Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network CVPR 2013 Improving Graph Matching via Density Maximization ICCV 2013