Feng Liu

Generalising Traffic Forecasting to Regions Without Traffic Observations AAAI 2026 RadarMP: Motion Perception for 4D mmWave Radar in Autonomous Driving AAAI 2026 HiFi-Mamba: Dual-Stream ?-Laplacian Enhanced Mamba for High-Fidelity MRI Reconstruction AAAI 2026 CineVerse: Consistent Keyframe Synthesis for Cinematic Scene Composition WACV 2026 CTTA-T: Continual Test-Time Adaptation for Text Understanding via Teacher-Student with a Domain-aware and Generalized Teacher ACL 2026 Visual Persona: Foundation Model for Full-Body Human Customization CVPR 2025 NLPrompt: Noise-Label Prompt Learning for Vision-Language Models CVPR 2025 BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement MICCAI 2025 Multi-view Clustering via Multi-granularity Ensemble IJCAI 2025 DualCast: A Model to Disentangle Aperiodic Events from Traffic Series IJCAI 2025 Flow Matching Based Sequential Recommender Model IJCAI 2025 One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy ICML 2025 CALM: Consensus-Aware Localized Merging for Multi-Task Learning ICML 2025 GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs ICML 2025 A Unified Data Representation Learning for Non-parametric Two-sample Testing UAI 2025 Sample-specific Noise Injection for Diffusion-based Adversarial Purification ICML 2025 Test-Time Multimodal Backdoor Detection by Contrastive Prompting ICML 2025 Convergence of Mean-Field Langevin Stochastic Descent-Ascent for Distributional Minimax Optimization ICML 2025 Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models AAAI 2025 FloNa: Floor Plan Guided Embodied Visual Navigation AAAI 2025 Learning Imbalanced Data with Beneficial Label Noise ICML 2025 MedPlan: A Two-Stage RAG-Based System for Personalized Medical Plan Generation ACL 2025 ‘No’ Matters: Out-of-Distribution Detection in Multimodality Multi-Turn Interactive Dialogue Download PDF ACL 2025 A Closer Look at Backdoor Attacks on CLIP ICML 2025 NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders ICML 2025 Exploiting Presentative Feature Distributions for Parameter-Efficient Continual Learning of Large Language Models ICML 2025 Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts ICML 2025 Deep Kernel Relative Test for Machine-generated Text Detection ICLR 2025 Attribute-based Visual Reprogramming for Vision-Language Models ICLR 2025 Endowing Visual Reprogramming with Adversarial Robustness ICLR 2025 Score-based free-form architectures for high-dimensional Fokker-Planck equations ICLR 2025 Lossy Compression with Pretrained Diffusion Models ICLR 2025 Progressive Growing of Video Tokenizers for Temporally Compact Latent Spaces ICCV 2025 HAMoBE: Hierarchical and Adaptive Mixture of Biometric Experts for Video-based Person ReID ICCV 2025 Enhancing Adversarial Transferability by Balancing Exploration and Exploitation with Gradient-Guided Sampling ICCV 2025 REGEN: Learning Compact Video Embedding with (Re-)Generative Decoder ICCV 2025 No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery EMNLP 2025 Correlation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes EMNLP 2025 SapiensID: Foundation for Human Recognition CVPR 2025 VideoGigaGAN: Towards Detail-rich Video Super-Resolution CVPR 2025 Move-in-2D: 2D-Conditioned Human Motion Generation CVPR 2025 ShotAdapter: Text-to-Multi-Shot Video Generation with Diffusion Models CVPR 2025 DynRefer: Delving into Region-level Multimodal Tasks via Dynamic Resolution CVPR 2025 AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-based Person Re-Identification CVPR 2025 Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model CVPR 2025 Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation CVPR 2024 Mind the Gap Between Prototypes and Images in Cross-domain Finetuning NIPS 2024 Bayesian-guided Label Mapping for Visual Reprogramming NIPS 2024 Pseudo-Private Data Guided Model Inversion Attacks NIPS 2024 In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment NIPS 2024 SongCreator: Lyrics-based Universal Song Generation NIPS 2024 Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? NIPS 2024 TIGER: Time-Varying Denoising Model for 3D Point Cloud Generation with Diffusion Process CVPR 2024 KeyPoint Relative Position Encoding for Face Recognition CVPR 2024 SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model CVPR 2024 Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models ECCV 2024 Fast View Synthesis of Casual Videos with Soup-of-Planes ECCV 2024 Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection ECCV 2024 HARIVO: Harnessing Text-to-Image Models for Video Generation ECCV 2024 Open-Set Biometrics: Beyond Good Closed-Set Models ECCV 2024 Negative Label Guided OOD Detection with Pretrained Vision-Language Models ICLR 2024 LRM: Large Reconstruction Model for Single Image to 3D ICLR 2024 Sample-specific Masks for Visual Reprogramming-based Prompting ICML 2024 Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models ICML 2024 MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence ICML 2024 Optimal Kernel Choice for Score Function-based Causal Discovery ICML 2024 Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training ICML 2024 Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data ICML 2024 An End-to-End Approach for Chord-Conditioned Song Generation INTERSPEECH 2024 On the Learnability of Out-of-distribution Detection JMLR 2024 FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude WACV 2024 Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification ICCV 2023 Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis ICCV 2023 Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection ICCV 2023 Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation ICML 2023 Out-of-distribution Detection with Implicit Outlier Transformation ICLR 2023 Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition CVPR 2023 Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization NIPS 2023 AnyFlow: Arbitrary Scale Optical Flow With Implicit Neural Representation CVPR 2023 Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources NIPS 2023 Learning to Augment Distributions for Out-of-distribution Detection NIPS 2023 DCFace: Synthetic Face Generation With Dual Condition Diffusion Model CVPR 2023 Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection NIPS 2023 Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality AAAI 2023 A Partially Observable Monte Carlo Planning Algorithm Based on Path Modification ACML 2023 Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score ICML 2023 Detecting Out-of-distribution Data through In-distribution Class Prior ICML 2023 Shift from Texture-bias to Shape-bias: Edge Deformation-based Augmentation for Robust Object Recognition ICCV 2023 Shift-tolerant Perceptual Similarity Metric ECCV 2022 Neighborhood Collective Estimation for Noisy Label Identification and Correction ECCV 2022 Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels ECCV 2022 Is Out-of-Distribution Detection Learnable? NIPS 2022 Cluster and Aggregate: Face Recognition with Large Probe Set NIPS 2022 Meta Discovery: Learning to Discover Novel Classes given Very Limited Data ICLR 2022 Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack ICML 2022 Adversarial Attack and Defense for Non-Parametric Two-Sample Tests ICML 2022 Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization NIPS 2022 Watermarking for Out-of-distribution Detection NIPS 2022 Balanced Spatial-Temporal Graph Structure Learning for Multivariate Time Series Forecasting: A Trade-off between Efficiency and Flexibility ACML 2022 Motion-Adjustable Neural Implicit Video Representation CVPR 2022 2D GANs Meet Unsupervised Single-View 3D Reconstruction ECCV 2022 Effective Presentation Attack Detection Driven by Face Related Task ECCV 2022 Controllable and Guided Face Synthesis for Unconstrained Face Recognition ECCV 2022 A Perceptual Quality Metric for Video Frame Interpolation ECCV 2022 Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image NIPS 2021 Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data NIPS 2021 Beyond Max-Margin: Class Margin Equilibrium for Few-Shot Object Detection CVPR 2021 Adversarial Defence by Diversified Simultaneous Training of Deep Ensembles AAAI 2021 StereoRel: Relational Triple Extraction from a Stereoscopic Perspective ACL 2021 How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? AAAI 2021 StereoRel: Relational Triple Extraction from a Stereoscopic Perspective IJCNLP 2021 Deep 3D Mask Volume for View Synthesis of Dynamic Scenes ICCV 2021 Group-Wise Inhibition Based Feature Regularization for Robust Classification ICCV 2021 Maximum Mean Discrepancy Test is Aware of Adversarial Attacks ICML 2021 Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction CVPR 2021 Learned Dual-View Reflection Removal WACV 2021 Learning Bounds for Open-Set Learning ICML 2021 Probabilistic Margins for Instance Reweighting in Adversarial Training NIPS 2021 TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation NIPS 2021 Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation IJCAI 2020 Deep Homography Estimation for Dynamic Scenes CVPR 2020 Learning Deep Kernels for Non-Parametric Two-Sample Tests ICML 2020 On the Detection of Digital Face Manipulation CVPR 2020 Softmax Splatting for Video Frame Interpolation CVPR 2020 Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence NIPS 2020 Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation ICCV 2019 Towards High-Fidelity Nonlinear 3D Face Morphable Model CVPR 2019 3D Face Modeling From Diverse Raw Scan Data ICCV 2019 On Computation and Generalization of Generative Adversarial Networks under Spectrum Control ICLR 2019 Cross-City Transfer Learning for Deep Spatio-Temporal Prediction IJCAI 2019 Meta Learning with Relational Information for Short Sequences NIPS 2019 IVQA: Inverse Visual Question Answering CVPR 2018 Context-Aware Synthesis for Video Frame Interpolation CVPR 2018 Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition CVPR 2018 Interactive Boundary Prediction for Object Selection ECCV 2018 Semantic Regularisation for Recurrent Image Annotation CVPR 2017 Video Frame Interpolation via Adaptive Convolution CVPR 2017 Video Frame Interpolation via Adaptive Separable Convolution ICCV 2017 Spatial-Semantic Image Search by Visual Feature Synthesis CVPR 2017 Composition-Preserving Deep Photo Aesthetics Assessment CVPR 2016 Sketch Me That Shoe CVPR 2016 Casual Stereoscopic Panorama Stitching CVPR 2015 Kernel Fusion for Better Image Deblurring CVPR 2015 Depth Enhancement via Low-rank Matrix Completion CVPR 2014 Parallax-tolerant Image Stitching CVPR 2014 Saliency Aggregation: A Data-Driven Approach CVPR 2013 Joint Subspace Stabilization for Stereoscopic Video ICCV 2013