Dilin Wang
29 papers · 2016–2025 · 10 conferences · across top CS/AI conferences
Achievements
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Conferences
CVPR (11)
ICML (5)
NIPS (5)
ECCV (2)
ACL (1)
AISTATS (1)
CONLL (1)
ICCV (1)
ICLR (1)
WACV (1)
Top co-authors
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