Yibo Yang

papers

960

total citations

papers (21)

Spatial Pyramid Based Graph Reasoning for Semantic Segmentation

CVPR 2020arXiv

174

citations

Improving Inference for Neural Image Compression

NEURIPS 2020arXiv

140

citations

Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?

NEURIPS 2022arXiv

112

citations

View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums

ECCV 2022arXiv

citations

Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search

CVPR 2021arXiv

citations

PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation

ECCV 2022arXiv

citations

Eliminating Gradient Conflict in Reference-Based Line-Art Colorization

ECCV 2022arXiv

citations

Computationally-Efficient Neural Image Compression with Shallow Decoders

ICCV 2023arXiv

citations

ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation

CVPR 2022arXiv

citations

Estimating the Rate-Distortion Function by Wasserstein Gradient Descent

NEURIPS 2023arXiv

citations

Towards Theoretically Inspired Neural Initialization Optimization

NEURIPS 2022arXiv

citations

Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation

ICML 2024arXiv

citations

Progressive Compression with Universally Quantized Diffusion Models

ICLR 2025arXiv

citations

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization

CVPR 2025arXiv

citations

Transformers for Mixed-type Event Sequences

NEURIPS 2025

citations

Instruction-Oriented Preference Alignment for Enhancing Multi-Modal Comprehension Capability of MLLMs

ICCV 2025arXiv

citations

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data

ICLR 2025arXiv

citations

Multi-Task Learning with Knowledge Distillation for Dense Prediction

ICCV 2023

citations

Yibo Yang

papers (21)

Spatial Pyramid Based Graph Reasoning for Semantic Segmentation

Improving Inference for Neural Image Compression

Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?

View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums

ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding

Understanding Imbalanced Semantic Segmentation Through Neural Collapse

Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation

Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search

PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation

Eliminating Gradient Conflict in Reference-Based Line-Art Colorization

Computationally-Efficient Neural Image Compression with Shallow Decoders

ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation

Estimating the Rate-Distortion Function by Wasserstein Gradient Descent

Towards Theoretically Inspired Neural Initialization Optimization

Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation

Progressive Compression with Universally Quantized Diffusion Models

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization

Transformers for Mixed-type Event Sequences

Instruction-Oriented Preference Alignment for Enhancing Multi-Modal Comprehension Capability of MLLMs

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data

Multi-Task Learning with Knowledge Distillation for Dense Prediction

papers (21)

Spatial Pyramid Based Graph Reasoning for Semantic Segmentation

Improving Inference for Neural Image Compression

Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?

View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums

ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding

Understanding Imbalanced Semantic Segmentation Through Neural Collapse

Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation

Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search

PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation

Eliminating Gradient Conflict in Reference-Based Line-Art Colorization

Computationally-Efficient Neural Image Compression with Shallow Decoders

ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation

Estimating the Rate-Distortion Function by Wasserstein Gradient Descent

Towards Theoretically Inspired Neural Initialization Optimization

Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation

Progressive Compression with Universally Quantized Diffusion Models

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization

Transformers for Mixed-type Event Sequences

Instruction-Oriented Preference Alignment for Enhancing Multi-Modal Comprehension Capability of MLLMs

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data

Multi-Task Learning with Knowledge Distillation for Dense Prediction