← Authors

Qingyong Hu

17 papers · 2019–2026 · 5 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (37) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (6) 🧬 Topic Evolution πŸ’Ž Century Club (16) ⚑ Prolific Year (7) πŸ”₯ Unstoppable (7) πŸ—ƒοΈ Keyword Collector (87)

Conferences

CVPR (10) ECCV (3) NIPS (2) AAAI (1) ICLR (1)

Top co-authors

Yulan Guo (8) Andrew Markham (7) Niki Trigoni (6) Bo Yang (5) Guangchi Fang (3) ZAIXI ZHANG (2) Sheng Ao (2) Qi Liu (2) Longguang Wang (2) Kaichen Zhou (2)

Research topics

Reasoning (1)

Keywords

point cloud (3) neural network (3) semantic segmentation (3) object detection (2) 3d vision (2) instance segmentation (2) 3d object detection (2) large language model (2) point cloud processing (2) point cloud registration (2) temporal modeling (1) uncertainty quantification (1) backdoor defense (1) attention mechanism (1) action recognition (1) representation learning (1) feature embedding (1) sparse representation (1) cross-modal learning (1) scene understanding (1)

Papers

Efficient Hallucination Detection: Adaptive Bayesian Estimation of Semantic Entropy with Guided Semantic Exploration AAAI 2026
Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model CVPR 2025
Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution CVPR 2024
ACRF: Compressing Explicit Neural Radiance Fields via Attribute Compression ICLR 2024
Backdoor Defense via Deconfounded Representation Learning CVPR 2023
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration CVPR 2023
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences With Static Models by Fitting Feature-Level Space-Time Surfaces CVPR 2022
3DAC: Learning Attribute Compression for Point Clouds CVPR 2022
Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds ECCV 2022
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds ECCV 2022
DevNet: Self-Supervised Monocular Depth Learning via Density Volume Construction ECCV 2022
Not All Points Are Equal: Learning Highly Efficient Point-Based Detectors for 3D LiDAR Point Clouds CVPR 2022
Hierarchical Graph Transformer with Adaptive Node Sampling NIPS 2022
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration CVPR 2021
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges CVPR 2021
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds CVPR 2020
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds NIPS 2019