Jiaxing Huang

26

Papers

229

Total Citations

Papers (26)

R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans

MMReason: An Open-Ended Multi-Modal Multi-Step Reasoning Benchmark for MLLMs Toward AGI

DA-BEV: Unsupervised Domain Adaptation for Bird's Eye View Perception

Cross-View Regularization for Domain Adaptive Panoptic Segmentation

FSDR: Frequency Space Domain Randomization for Domain Generalization

Category Contrast for Unsupervised Domain Adaptation in Visual Tasks

Spectral Unsupervised Domain Adaptation for Visual Recognition

Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation

DA-DETR: Domain Adaptive Detection Transformer With Information Fusion

UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibration

Domain Adaptive Video Segmentation via Temporal Consistency Regularization

RDA: Robust Domain Adaptation via Fourier Adversarial Attacking

Domain Generalization via Balancing Training Difficulty and Model Capability

XNet: Wavelet-Based Low and High Frequency Fusion Networks for Fully- and Semi-Supervised Semantic Segmentation of Biomedical Images

Black-Box Unsupervised Domain Adaptation with Bi-Directional Atkinson-Shiffrin Memory

Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation

Contextual Text Block Detection towards Scene Text Understanding

Domain Adaptive Video Segmentation via Temporal Pseudo Supervision

3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds

Training-Free Text-Guided Image Editing with Visual Autoregressive Model

SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation

Masked AutoDecoder is Effective Multi-Task Vision Generalist

Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data

Masked Generative Adversarial Networks are Data-Efficient Generation Learners

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds