Enze Xie

49 papers · 2019–2025 · 9 conferences · across top CS/AI conferences

Achievements

🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (41) 🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (9) 🏃 Academic Marathon (6) 🤝 Dynamic Duo (22) 🏆 Grand Slam 🔬 Deep Specialist (10) 🔥 Unstoppable (7) 💎 Century Club (49) 🚀 Conference Pioneer 🗃️ Keyword Collector (139) ⚡ Prolific Year (6) ❓ The Questioner

Conferences

ICCV (12) ICLR (12) ECCV (8) NIPS (5) CVPR (4) AAAI (3) ICML (3) ACL (1) IJCAI (1)

Top co-authors

Ping Luo (22) Zhenguo Li (18) Wenhai Wang (14) Junsong Chen (12) Song Han (9) Junyu Chen (8) Tong Lu (8) Chongjian GE (7) Han Cai (7) Ding Liang (6)

Keywords

semantic segmentation (11) diffusion model (6) object detection (5) image generation (5) instance segmentation (4) vision transformer (3) scene text detection (3) 3d object detection (3) text-to-image generation (3) dense prediction (2) latent diffusion (2) depth estimation (2) image segmentation (2) feature pyramid (2) multi-modal learning (2) autonomous driving (2) model compression (2) knowledge distillation (1) 3d shape generation (1) adversarial robustness (1)

Papers

DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer ICCV 2025

SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation ICCV 2025

SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models ICLR 2025

HART: Efficient Visual Generation with Hybrid Autoregressive Transformer ICLR 2025

SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers ICLR 2025

VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation ICLR 2025

Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models ICLR 2025

SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer ICML 2025

DC-AE 1.5: Accelerating Diffusion Model Convergence with Structured Latent Space ICCV 2025

LEGO-Prover: Neural Theorem Proving with Growing Libraries ICLR 2024

DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving AAAI 2024

Accelerating Diffusion Sampling with Optimized Time Steps CVPR 2024

PixArt-Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation ECCV 2024

Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation ECCV 2024

"Segment, Lift and Fit: Automatic 3D Shape Labeling from 2D Prompts" ECCV 2024

Large Language Models as Automated Aligners for benchmarking Vision-Language Models ICLR 2024

DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning ICLR 2024

PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis ICLR 2024

MagicDrive: Street View Generation with Diverse 3D Geometry Control ICLR 2024

GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation ICLR 2024

T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation NIPS 2023

MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation ICCV 2023

Beyond One-to-One: Rethinking the Referring Image Segmentation ICCV 2023

DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-efficient Fine-Tuning ICCV 2023

Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's-Eye View ICCV 2023

DDP: Diffusion Model for Dense Visual Prediction ICCV 2023

DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function ACL 2023

DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation NIPS 2023

Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection NIPS 2023

DiffComplete: Diffusion-based Generative 3D Shape Completion NIPS 2023

CycleMLP: A MLP-like Architecture for Dense Prediction ICLR 2022

Understanding The Robustness in Vision Transformers ICML 2022

Panoptic SegFormer: Delving Deeper Into Panoptic Segmentation With Transformers CVPR 2022

BEVFormer: Learning Bird’s-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers ECCV 2022

Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization AAAI 2022

Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction Without Convolutions ICCV 2021

Watch Only Once: An End-to-End Video Action Detection Framework ICCV 2021

DetCo: Unsupervised Contrastive Learning for Object Detection ICCV 2021

What Makes for End-to-End Object Detection? ICML 2021

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers NIPS 2021

Segmenting Transparent Objects in the Wild with Transformer IJCAI 2021

Segmenting Transparent Objects in the Wild ECCV 2020

AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting ECCV 2020

Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation ECCV 2020

Scene Text Image Super-resolution in the wild ECCV 2020

PolarMask: Single Shot Instance Segmentation With Polar Representation CVPR 2020

Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network ICCV 2019

Scene Text Detection with Supervised Pyramid Context Network AAAI 2019

Shape Robust Text Detection With Progressive Scale Expansion Network CVPR 2019