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Khoi Nguyen

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 1:13 AM AMS

20

papers

518

total citations

papers (20)

Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance

ISBNet: A 3D Point Cloud Instance Segmentation Network With Instance-Aware Sampling and Box-Aware Dynamic Convolution

Few-Shot Object Counting and Detection

POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples

NEURIPS 2021arXiv

Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments

SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher

A Weakly Supervised Amodal Segmenter With Boundary Uncertainty Estimation

iFS-RCNN: An Incremental Few-Shot Instance Segmenter

FAPIS: A Few-Shot Anchor-Free Part-Based Instance Segmenter

SwiftEdit: Lightning Fast Text-Guided Image Editing via One-Step Diffusion

SharpDepth: Sharpening Metric Depth Predictions Using Diffusion Distillation

GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers

SwiftTry: Fast and Consistent Video Virtual Try-On with Diffusion Models

Any3DIS: Class-Agnostic 3D Instance Segmentation by 2D Mask Tracking

Geodesic-Former: A Geodesic-Guided Few-Shot 3D Point Cloud Instance Segmenter

Semi-supervised 3D Semantic Scene Completion with 2D Vision Foundation Model Guidance

Learning to Inference Adaptively for Multimodal Large Language Models

CSD-VAR: Content-Style Decomposition in Visual Autoregressive Models

Supercharged One-step Text-to-Image Diffusion Models with Negative Prompts

Dataset Diffusion: Diffusion-based Synthetic Data Generation for Pixel-Level Semantic Segmentation