Chenhang He

Orcid: 0000-0001-5069-3587

According to our database1, Chenhang He authored at least 26 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Efficient Point Clouds Upsampling via Flow Matching.
CoRR, January, 2025

Ex2Vec: Enhancing assembly code semantics with end-to-end execution-aware embeddings.
Neural Networks, 2025

Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Improving Monocular 3D Object Detection by Synthetic Images with Virtual Depth.
World Sci. Annu. Rev. Artif. Intell., 2024

VoxGenesis: Unsupervised Discovery of Latent Speaker Manifold for Speech Synthesis.
CoRR, 2024

Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

LAPT: Label-Driven Automated Prompt Tuning for OOD Detection with Vision-Language Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

Motion-Guided Latent Diffusion for Temporally Consistent Real-World Video Super-Resolution.
Proceedings of the Computer Vision - ECCV 2024, 2024

Dense Multimodal Alignment for Open-Vocabulary 3D Scene Understanding.
Proceedings of the Computer Vision - ECCV 2024, 2024

ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention.
Proceedings of the Computer Vision - ECCV 2024, 2024



2023
Motion-Guided Latent Diffusion for Temporally Consistent Real-world Video Super-resolution.
CoRR, 2023

Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations.
Proceedings of the International Conference on Machine Learning, 2023

One-to-Few Label Assignment for End-to-End Dense Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DynaMask: Dynamic Mask Selection for Instance Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Masked Surfel Prediction for Self-Supervised Point Cloud Learning.
CoRR, 2022

Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A Dual Weighting Label Assignment Scheme for Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images.
Medical Image Anal., 2021

Aug3D-RPN: Improving Monocular 3D Object Detection by Synthetic Images with Virtual Depth.
CoRR, 2021

2020
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images.
CoRR, 2020

Structure Aware Single-Stage 3D Object Detection From Point Cloud.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020


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