← Authors

Dilin Wang

29 papers · 2016–2025 · 10 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (6) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (9) πŸ—ΊοΈ Taxonomy Completionist (56) 🐝 Cross-Pollinator (12) 🌟 Keyword Trendsetter Combo (3) πŸ† Keyword Champion 🧬 Topic Evolution 🀝 Dynamic Duo (16) πŸ—ƒοΈ Keyword Collector (112) ⚑ Prolific Year (6) πŸ’Ž Century Club (29) πŸ”₯ Unstoppable (5) πŸ“ˆ Trend Setter

Conferences

CVPR (11) ICML (5) NIPS (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 (7) Chengyue Gong (7) Meng Li (6) Zhangyang Wang (4) Raghuraman Krishnamoorthi (4) Lemeng Wu (4) Yuchen Fan (3) Sreyas Mohan (3)

Keywords

variational inference (6) stein variational gradient descent (5) image classification (4) bayesian inference (3) 3d reconstruction (3) neural architecture search (3) supernet training (2) alpha divergence (2) model compression (2) weight sharing (2) 3d gaussian splatting (2) vision transformer (2) semi-supervised learning (2) knowledge distillation (2) scene reconstruction (2) particle-based inference (2) novel view synthesis (2) data augmentation (2) point cloud generation (1) model robustness (1)

Papers

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