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Wenrui Dai

39 papers · 2020–2025 · 8 conferences · across top CS/AI conferences

Achievements

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Conferences

ECCV (9) ICML (8) CVPR (7) ICLR (6) NIPS (4) ICCV (3) AAAI (1) IJCAI (1)

Top co-authors

Hongkai Xiong (38) Chenglin Li (28) Junni Zou (25) Yaoming Wang (14) XIAOPENG ZHANG (14) Qi Tian (13) Yuchen Liu (10) Bowen Shi (9) Jin Li (8) Yabo Chen (8)

Research topics

Robotics (1)

Keywords

mutual information (3) contrastive learning (2) 3d vision (2) deep reinforcement learning (2) unsupervised learning (2) federated learning (2) transfer learning (2) neural architecture search (2) domain adaptation (2) human pose estimation (2) representation learning (2) vision transformer (2) autoregressive transformer (1) image generation (1) robust optimization (1) sample efficiency (1) semantic segmentation (1) variational inference (1) domain generalization (1) zero-shot learning (1)

Papers

Noise Conditional Variational Score Distillation ICML 2025 METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models ICCV 2025 On Disentangled Training for Nonlinear Transform in Learned Image Compression ICLR 2025 FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates ICML 2025 HiPART: Hierarchical Pose AutoRegressive Transformer for Occluded 3D Human Pose Estimation CVPR 2025 IM-Zero: Instance-level Motion Controllable Video Generation in a Zero-shot Manner CVPR 2025 Stabilizing and Accelerating Autofocus with Expert Trajectory Regularized Deep Reinforcement Learning CVPR 2025 LBI-FL: Low-Bit Integerized Federated Learning with Temporally Dynamic Bit-Width Allocation ICML 2025 MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models NIPS 2024 Cascade-Zero123: One Image to Highly Consistent 3D with Self-Prompted Nearby Views ECCV 2024 DomainFusion: Generalizing To Unseen Domains with Latent Diffusion Models ECCV 2024 Image Compression for Machine and Human Vision With Spatial-Frequency Adaptation ECCV 2024 AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer Training ICML 2024 Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation ICML 2024 Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance ICML 2024 Towards Unified Representation of Invariant-Specific Features in Missing Modality Face Anti-Spoofing ECCV 2024 BaSIC: BayesNet Structure Learning for Computational Scalable Neural Image Compression ECCV 2024 UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding ECCV 2024 Frequency-Aware Transformer for Learned Image Compression ICLR 2024 Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners ICLR 2024 BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation ICLR 2024 Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach NIPS 2024 AiluRus: A Scalable ViT Framework for Dense Prediction NIPS 2023 Doubly Robust Augmented Transfer for Meta-Reinforcement Learning NIPS 2023 Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation AAAI 2023 Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition CVPR 2023 Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization CVPR 2023 Towards Unsupervised Domain Generalization for Face Anti-Spoofing ICCV 2023 Progressively Compressed Auto-Encoder for Self-supervised Representation Learning ICLR 2023 FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization ICML 2023 Bag of Instances Aggregation Boosts Self-supervised Distillation ICLR 2022 SdAE: Self-Distillated Masked Autoencoder ECCV 2022 A Transformer-Based Decoder for Semantic Segmentation with Multi-level Context Mining ECCV 2022 Source-Free Domain Adaptation with Contrastive Domain Alignment and Self-Supervised Exploration for Face Anti-Spoofing ECCV 2022 Contrastive Regression for Domain Adaptation on Gaze Estimation CVPR 2022 Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization ICCV 2021 Monotonic Robust Policy Optimization with Model Discrepancy ICML 2021 SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search IJCAI 2020 Rotation Equivariant Graph Convolutional Network for Spherical Image Classification CVPR 2020