Feng Liu

146 papers · 2013–2026 · 17 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) 🏃 Academic Marathon (13) 🌍 Conference Polyglot (17) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (20) 🌟 Keyword Trendsetter Combo (3) 🏠 Conference Loyalist (20) 🤝 Dynamic Duo (21) 🏆 Grand Slam 👥 Mega-Team (20) 👑 Triple Crown 🔬 Deep Specialist (20) 🧬 Topic Evolution 🏆 Keyword Champion (2) 🗃️ Keyword Collector (514) 📈 Trend Setter 🚀 Conference Pioneer ⚡ Prolific Year (16) 🔥 Unstoppable (14) ❓ The Questioner (3) 💎 Century Club (143)

Conferences

CVPR (36) ICML (25) NIPS (20) ICCV (14) ECCV (13) ICLR (10) AAAI (8) IJCAI (5) ACL (3) WACV (3) EMNLP (2) ACML (2) IJCNLP (1) INTERSPEECH (1) JMLR (1) MICCAI (1) UAI (1)

Top co-authors

Bo Han (21) Xiaoming Liu (19) Tongliang Liu (17) Zhen Fang (11) Long Mai (11) Lei Feng (10) Minchul Kim (10) Jie Lu (7) Difan Liu (7) Masashi Sugiyama (7)

Research topics

Keywords

diffusion model (11) convolutional neural network (8) representation learning (7) out-of-distribution detection (7) video generation (7) face recognition (6) adversarial robustness (5) attention mechanism (5) few-shot learning (5) person re-identification (5) feature learning (5) domain adaptation (5) generative model (4) optical flow (4) deep neural network (4) multi-task learning (3) video frame interpolation (3) 3d vision (3) image reconstruction (3) adversarial training (3)

Papers

HiFi-Mamba: Dual-Stream ?-Laplacian Enhanced Mamba for High-Fidelity MRI Reconstruction AAAI 2026

CineVerse: Consistent Keyframe Synthesis for Cinematic Scene Composition WACV 2026

Generalising Traffic Forecasting to Regions Without Traffic Observations AAAI 2026

RadarMP: Motion Perception for 4D mmWave Radar in Autonomous Driving AAAI 2026

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model CVPR 2025

Visual Persona: Foundation Model for Full-Body Human Customization CVPR 2025

NLPrompt: Noise-Label Prompt Learning for Vision-Language Models CVPR 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

Sample-specific Noise Injection for Diffusion-based Adversarial Purification ICML 2025

A Unified Data Representation Learning for Non-parametric Two-sample Testing UAI 2025

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement MICCAI 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

Learning Imbalanced Data with Beneficial Label Noise 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

A Closer Look at Backdoor Attacks on CLIP 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

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

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

Shift from Texture-bias to Shape-bias: Edge Deformation-based Augmentation for Robust Object Recognition ICCV 2023

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

Detecting Out-of-distribution Data through In-distribution Class Prior ICML 2023

Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation ICML 2023

Out-of-distribution Detection with Implicit Outlier Transformation ICLR 2023

Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization NIPS 2023

Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition 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

AnyFlow: Arbitrary Scale Optical Flow With Implicit Neural Representation 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

A Perceptual Quality Metric for Video Frame Interpolation ECCV 2022

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

Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization 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

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

TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation NIPS 2021

Adversarial Defence by Diversified Simultaneous Training of Deep Ensembles AAAI 2021

Group-Wise Inhibition Based Feature Regularization for Robust Classification ICCV 2021

Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data NIPS 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

Learning Bounds for Open-Set Learning ICML 2021

StereoRel: Relational Triple Extraction from a Stereoscopic Perspective IJCNLP 2021

Maximum Mean Discrepancy Test is Aware of Adversarial Attacks ICML 2021

Deep 3D Mask Volume for View Synthesis of Dynamic Scenes ICCV 2021

Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image NIPS 2021

Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction CVPR 2021

Probabilistic Margins for Instance Reweighting in Adversarial Training NIPS 2021

Learned Dual-View Reflection Removal WACV 2021

Beyond Max-Margin: Class Margin Equilibrium for Few-Shot Object Detection CVPR 2021

Learning Deep Kernels for Non-Parametric Two-Sample Tests ICML 2020

Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation IJCAI 2020

On the Detection of Digital Face Manipulation CVPR 2020

Softmax Splatting for Video Frame Interpolation CVPR 2020

Deep Homography Estimation for Dynamic Scenes CVPR 2020

Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence NIPS 2020

3D Face Modeling From Diverse Raw Scan Data ICCV 2019

On Computation and Generalization of Generative Adversarial Networks under Spectrum Control ICLR 2019

Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation ICCV 2019

Towards High-Fidelity Nonlinear 3D Face Morphable Model CVPR 2019

Meta Learning with Relational Information for Short Sequences NIPS 2019

Cross-City Transfer Learning for Deep Spatio-Temporal Prediction IJCAI 2019

Context-Aware Synthesis for Video Frame Interpolation CVPR 2018

IVQA: Inverse Visual Question Answering CVPR 2018

Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition CVPR 2018

Interactive Boundary Prediction for Object Selection ECCV 2018

Video Frame Interpolation via Adaptive Convolution CVPR 2017

Video Frame Interpolation via Adaptive Separable Convolution ICCV 2017

Semantic Regularisation for Recurrent Image Annotation CVPR 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

Kernel Fusion for Better Image Deblurring CVPR 2015

Casual Stereoscopic Panorama Stitching CVPR 2015

Parallax-tolerant Image Stitching CVPR 2014

Depth Enhancement via Low-rank Matrix Completion CVPR 2014

Joint Subspace Stabilization for Stereoscopic Video ICCV 2013

Saliency Aggregation: A Data-Driven Approach CVPR 2013