From Flatland to Space: Teaching Vision-Language Models to Perceive and Reason in 3D.
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CoRR, March, 2025
MASTER: Multimodal Segmentation with Text Prompts.
CoRR, March, 2025
PHD-NAS: Preserving helpful data to promote Neural Architecture Search.
Neurocomputing, 2024
WildOcc: A Benchmark for Off-Road 3D Semantic Occupancy Prediction.
CoRR, 2024
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity.
CoRR, 2024
PID: Physics-Informed Diffusion Model for Infrared Image Generation.
CoRR, 2024
FusionOcc: Multi-Modal Fusion for 3D Occupancy Prediction.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
SAM-PS: Zero-shot Parking-slot Detection based on Large Visual Model.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Domain-Adaptive Point Cloud Semantic Segmentation from Urban to Off-Road Scenes Based on Knowledge-Augmented Deep Learning.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024
TeFF: Tracking-enhanced Forgetting-free Few-shot 3D LiDAR Semantic Segmentation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Sweet Gradient matters: Designing consistent and efficient estimator for Zero-shot Architecture Search.
Neural Networks, November, 2023
PMR-CNN: Prototype Mixture R-CNN for Few-Shot Object Detection.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
M2F2-Net: Multi-Modal Feature Fusion for Unstructured Off-Road Freespace Detection.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Generalized Few-shot Semantic Segmentation for LiDAR Point Clouds.
IROS, 2023
Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Zero-shot Object Detection Based on Dynamic Semantic Vectors.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Unleashing the Power of Gradient Signal-to-Noise Ratio for Zero-Shot NAS.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
PA&DA: Jointly Sampling PAth and DAta for Consistent NAS.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
STC-NAS: Fast neural architecture search with source-target consistency.
Neurocomputing, 2022
Searching for BurgerFormer with Micro-Meso-Macro Space Design.
Proceedings of the International Conference on Machine Learning, 2022
AGNAS: Attention-Guided Micro and Macro-Architecture Search.
Proceedings of the International Conference on Machine Learning, 2022
DU-DARTS: Decreasing the Uncertainty of Differentiable Architecture Search.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
DDSAS: Dynamic and Differentiable Space-Architecture Search.
Proceedings of the Asian Conference on Machine Learning, 2021
Incorporating Human Domain Knowledge in 3-D LiDAR-Based Semantic Segmentation.
IEEE Trans. Intell. Veh., 2020
Semantic Segmentation of 3D LiDAR Data in Dynamic Scene Using Semi-Supervised Learning.
IEEE Trans. Intell. Transp. Syst., 2020
Scene Context Based Semantic Segmentation for 3D LiDAR Data in Dynamic Scene.
CoRR, 2020
SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
Incorporating Human Domain Knowledge in 3D LiDAR-based Semantic Segmentation.
CoRR, 2019
Supervised Learning for Semantic Segmentation of 3D LiDAR Data.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
Scene-Adaptive Off-Road Detection Using a Monocular Camera.
IEEE Trans. Intell. Transp. Syst., 2018