Ke Chen

papers

758

total citations

papers (17)

CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition

AAAI 2024arXiv

citations

Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space

NEURIPS 2021arXiv

citations

Weakly Supervised Segmentation With Point Annotations for Histopathology Images via Contrast-Based Variational Model

CVPR 2023arXiv

citations

Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap

ECCV 2022arXiv

citations

FloE: On-the-Fly MoE Inference on Memory-constrained GPU

ICML 2025arXiv

citations

PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter

CVPR 2025arXiv

citations

In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning

AAAI 2025arXiv

citations

Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection

AAAI 2024

citations

CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation

AAAI 2025

citations

Real-Time Vanishing Point Detector Integrating Under-Parameterized RANSAC and Hough Transform

ICCV 2021

citations

Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds

ICCV 2021

citations

AllGCD: Leveraging All Unlabeled Data for Generalized Category Discovery

ICCV 2025

citations

Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception

CVPR 2025

citations

Ke Chen

papers (17)

Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering

Feature Importance Ranking for Deep Learning

3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding

Fine-Grained Object Classification via Self-Supervised Pose Alignment

CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition

Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space

Weakly Supervised Segmentation With Point Annotations for Histopathology Images via Contrast-Based Variational Model

Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap

FloE: On-the-Fly MoE Inference on Memory-constrained GPU

PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter

In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning

Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection

CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation

Real-Time Vanishing Point Detector Integrating Under-Parameterized RANSAC and Hough Transform

Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds

AllGCD: Leveraging All Unlabeled Data for Generalized Category Discovery

Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception

papers (17)

Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering

Feature Importance Ranking for Deep Learning

3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding

Fine-Grained Object Classification via Self-Supervised Pose Alignment

CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition

Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space

Weakly Supervised Segmentation With Point Annotations for Histopathology Images via Contrast-Based Variational Model

Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap

FloE: On-the-Fly MoE Inference on Memory-constrained GPU

PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter

In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning

Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection

CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation

Real-Time Vanishing Point Detector Integrating Under-Parameterized RANSAC and Hough Transform

Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds

AllGCD: Leveraging All Unlabeled Data for Generalized Category Discovery

Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception