Ying-Cong Chen
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  • News
    • Our arxiv paper "Lotus Diffusion-based Visual Foundation Model for High-quality Dense Prediction" is getting noticed
    • Our paper Luciddreamer is selected as Spotlight at CVPR 2024 and featured on Hugging Face Daily
    • Invited Talk: International conference on Artificial Intelligence & Machine Learning (AIM-2024)
    • Invited Talk: International Conference on Applied Mathematics 2024
    • We win the 1st Place in RobotDrive Challenge (ICRA 2024)
    • I am invited to give a Annual Progressive Report in China3DV
    • Invited Talk: 2024年广州市国资并购联合会会员大会
    • 关于生成式模型及其社会影响的采访（广州日报）
    • Our Paper “Ref-NeuS” Nominated for Best Paper at ICCV 2023
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    • An Incremental Unified Framework for Small Defect Inspection
    • Bi-TTA: Bidirectional Test-Time Adapter for Remote Physiological Measurement
    • Defect Spectrum: A Granular Look of Large-scale Defect Datasets with Rich Semantics
    • MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders
    • Text-Anchored Score Composition: Tackling Condition Misalignment in Text-to-Image Diffusion Models
    • Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning
    • Learning to Remove Wrinkled Transparent Film with Polarized Prior
    • Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs
    • LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching
    • Backdoor Contrastive Learning via Bi-level Trigger Optimization
    • Denoising Diffusion Step-aware Models
    • GNeRP: Gaussian-guided Neural Reconstruction of Reflective Objects with Noisy Polarization Priors
    • Rethinking Rendering in Generalizable Neural Surface Reconstruction: A Learning-based Solution
    • Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection
    • Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation
    • Photo-Realistic Out-of-domain GAN inversion via Invertibility Decomposition
    • Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field
    • Neuron Structure Modeling for Generalizable Remote Physiological Measurement
    • Real-time 6K Image Rescaling with Rate-distortion Optimization
    • Label Name is Mantra: Unifying Point Cloud Segmentation across Heterogeneous Datasets
    • Artificial intelligence-enabled detection and assessment of Parkinson’s disease using nocturnal breathing signals
    • DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation
    • RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering
    • Semi-supervised Monocular 3D Object Detection by Multi-view Consistency
    • Representation Compensation Networks for Continual Semantic Segmentation
    • Learning to Know Where to See: A Visibility-Aware Approach for Occluded Person Re-identification
    • SC-GAN: Image Synthesis via Semantic Composition
    • Delving into Deep Imbalanced Regression
    • PointINS: Point-based instance segmentation
    • Text-Guided Human Image Manipulation via Image-Text Shared Space
    • Attentive normalization for conditional image generation
    • Domain Adaptive Image-to-image Translation
    • Homomorphic Interpolation Network for Unpaired Image-to-image Translation
    • VCNet: A Robust Approach to Blind Image Inpainting
    • Homomorphic latent space interpolation for unpaired image-to-image translation
    • Semantic component decomposition for face attribute manipulation
    • View Independent Generative Adversarial Network for Novel View Synthesis
    • Facelet-bank for fast portrait manipulation
    • Person Re-Identification by Camera Correlation Aware Feature Augmentation
    • Makeup-go: Blind reversion of portrait edit
    • An asymmetric distance model for cross-view feature mapping in person reidentification
    • An enhanced deep feature representation for person re-identification
    • Mirror representation for modeling view-specific transform in person re-identification
  • Teaching
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Invited Talk: International conference on Artificial Intelligence & Machine Learning (AIM-2024)

Jun 10, 2024·
Ying-Cong Chen
Ying-Cong Chen
· 1 min read

AIM-2024

Last updated on Jul 13, 2024
Ying-Cong Chen
Authors
Ying-Cong Chen
Assistant Professor
← Our paper Luciddreamer is selected as Spotlight at CVPR 2024 and featured on Hugging Face Daily Jun 19, 2024
Invited Talk: International Conference on Applied Mathematics 2024 May 28, 2024 →

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