影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
57.17/100
前 5.6%
全站排名 #3,620
发表论文15 篇
平均评分
年均产出5.0 篇/年
Tae-Hyun Oh
研究方向
multi-modal learning · generative modeling · 3D reconstruction · neural rendering · embodied AI · parameter efficient learning · deep image prior · human reconstruction
26
SA-ResGS: Self-Augmented Residual 3D Gaussian Splatting for Next Best View Selection
ICLR 2026Desk Rejected
二作12
RetouchLLM: Training-free Code-based Image Retouching with Vision Language Models
ICLR 2026Rejected
三作18
HDR-NSFF: High Dynamic Range Neural Scene Flow Fields
ICLR 2026Poster
通讯21
Measurement-Consistent Langevin Corrector: A Remedy for Latent Diffusion Inverse Solvers
ICLR 2026Rejected
通讯19
LiDAR-Anchored Collaborative Distillation for Robust 2D Representations
ICLR 2026Rejected
通讯5
Efficient Hyper-Parameter Search for LoRA via Language-aided Bayesian Optimization
ICLR 2026Withdrawn
通讯5
Towards Automatic Discovery and Explanation of Differences Between Vision Models
ICLR 2026Withdrawn
二作21
Automated Model Discovery via Multi-modal & Multi-step Pipeline
NeurIPS 2025Poster
通讯41
AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models
ICLR 2025Poster
通讯22
MemBench: Memorized Image Trigger Prompt Dataset for Diffusion Models
ICLR 2025Rejected
二作5
Distinct and Shared Concept Discovery for Fine-grained Concept Inversion
ICLR 2025Withdrawn
通讯