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Home/Authors/Zhen Yang

Zhen Yang

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 14, 2026, 11:22 PM AMS

24

papers

641

total citations

papers (24)

Focus on Local: Detecting Lane Marker From Bottom Up via Key Point

Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization

NEURIPS 2022arXiv

ONCE-3DLanes: Building Monocular 3D Lane Detection

Bi-GCN: Binary Graph Convolutional Network

FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition

OmniBench: Towards The Future of Universal Omni-Language Models

NEURIPS 2025arXiv

LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation

Towards Domain Generalization for Multi-View 3D Object Detection in Bird-Eye-View

TriSampler: A Better Negative Sampling Principle for Dense Retrieval

FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior

ViLTA: Enhancing Vision-Language Pre-training through Textual Augmentation

Scaling Laws for Floating–Point Quantization Training

Thought-Path Contrastive Learning via Premise-Oriented Data Augmentation for Logical Reading Comprehension

Multi-View Multi-Label Classification via View-Label Matching Selection

Separation of Powers: On Segregating Knowledge from Observation in LLM-enabled Knowledge-based Visual Question Answering

CLIP2: Contrastive Language-Image-Point Pretraining From Real-World Point Cloud Data

Graph Consistency and Diversity Measurement for Federated Multi-View Clustering

Video Frame Interpolation via Direct Synthesis with the Event-based Reference

CFDM: Contrastive Fusion and Disambiguation for Multi-View Partial-Label Learning

ESEG: Event-Based Segmentation Boosted by Explicit Edge-Semantic Guidance

MSV-PCT: Multi-Sparse-View Enhanced Transformer Framework for Salient Object Detection in Point Clouds

Know Where You Are From: Event-Based Segmentation via Spatio-Temporal Propagation

Active Learning for Lane Detection: A Knowledge Distillation Approach

Learning Transferable Features for Point Cloud Detection via 3D Contrastive Co-training