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Dilin Wang

31 papers · 2016–2026 · 10 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (56) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Gold πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (16) 🌟 Keyword Trendsetter Combo (3) πŸ† Keyword Champion (2) 🧭 Keyword Pioneer πŸ‘₯ Mega-Team Β· Squad 🧬 Topic Evolution ⚑ Prolific Year Β· Productive πŸ—ƒοΈ Keyword Collector (133) πŸ’Ž Century Club Β· Bronze πŸ”₯ Unstoppable Β· Bronze

Venues

CVPR (13) ICML (5) NeurIPS (5) ECCV (2) ACL (1) AISTATS (1) CoNLL (1) ICCV (1) ICLR (1) WACV (1)

Top co-authors

Qiang Liu (16) Vikas Chandra (11) Rakesh Ranjan (9) Chengyue Gong (7) Meng Li (6) Zhangyang Wang (5) Peihao Wang (4) Zhiwen Fan (4) Raghuraman Krishnamoorthi (4) Yuchen Fan (4)

Research topics

Deep Learning (20) Machine Learning (19) Computer Vision (15) Optimization & Theory (13) Analysis (10) Artificial Intelligence (9) Application Areas (7) Models (7) Architectures (6) Generation (6) Learning Types Β· Deep Learning (6) Core AI (5) Learning Types Β· Machine Learning (5) Techniques (5) Bayesian & Probabilistic (4)

Keywords

variational inference (6) stein variational gradient descent (5) image classification (4) 3d reconstruction (4) neural architecture search (4) supernet training (3) vision transformer (3) text-to-3d generation (3) bayesian inference (3) semi-supervised learning (2) novel view synthesis (2) model compression (2) weight sharing (2) alpha divergence (2) 3d gaussian splatting (2) data augmentation (2) knowledge distillation (2) scene reconstruction (2) particle-based inference (2) architecture optimization (2)

Papers

VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction CVPR 2026 WorldGen: From Text to Traversable and Interactive 3D Worlds CVPR 2026 3D Mesh Editing using Masked LRMs ICCV 2025 LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields CVPR 2025 MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds CVPR 2025 Steepest Descent Density Control for Compact 3D Gaussian Splatting CVPR 2025 SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity AISTATS 2025 UVGS: Reimagining Unstructured 3D Gaussian Splatting using UV Mapping CVPR 2025 EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything CVPR 2024 Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts ACL 2024 MVDiffHD: A Dense High-resolution Multi-view Diffusion Model for Single or Sparse-view 3D Object Reconstruction ECCV 2024 POCA: Post-training Quantization with Temporal Alignment for Codec Avatars ECCV 2024 Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once ICML 2024 Taming Mode Collapse in Score Distillation for Text-to-3D Generation CVPR 2024 Fast Point Cloud Generation With Straight Flows CVPR 2023 Temporally Consistent Online Depth Estimation in Dynamic Scenes WACV 2023 Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation CVPR 2022 NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training ICLR 2022 AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence CVPR 2021 AlphaNet: Improved Training of Supernets with Alpha-Divergence ICML 2021 AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling CVPR 2021 KeepAugment: A Simple Information-Preserving Data Augmentation Approach CVPR 2021 Improving Neural Language Modeling via Adversarial Training ICML 2019 Nonlinear Stein Variational Gradient Descent for Learning Diversified Mixture Models ICML 2019 Splitting Steepest Descent for Growing Neural Architectures NeurIPS 2019 Stein Variational Gradient Descent With Matrix-Valued Kernels NeurIPS 2019 Stein Variational Gradient Descent as Moment Matching NeurIPS 2018 Stein Variational Message Passing for Continuous Graphical Models ICML 2018 Variational Inference with Tail-adaptive f-Divergence NeurIPS 2018 Entity Disambiguation by Knowledge and Text Jointly Embedding CoNLL 2016 Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm NeurIPS 2016