Heng Wang

Orcid: 0009-0009-5473-5751

Affiliations:
  • University of Sydney, School of Computer Science, NSW, Australia


According to our database1, Heng Wang authored at least 20 papers between 2018 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Multimodal Causal Reasoning Benchmark: Challenging Vision Large Language Models to Infer Causal Links Between Siamese Images.
CoRR, 2024

Dance Any Beat: Blending Beats with Visuals in Dance Video Generation.
CoRR, 2024

Boosting 3D Neuron Segmentation with 2D Vision Transformer Pre-trained on Natural Images.
CoRR, 2024

LaneCMKT: Boosting Monocular 3D Lane Detection with Cross-Modal Knowledge Transfer.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Advancements in 3D Lane Detection Using LiDAR Point Clouds: From Data Collection to Model Development.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Enhancing Advanced Visual Reasoning Ability of Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Exploring Annotation-free Image Captioning with Retrieval-augmented Pseudo Sentence Generation.
CoRR, 2023

PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point Clouds.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022
Towards Generalisable Audio Representations for Audio-Visual Navigation.
CoRR, 2022

Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis.
CoRR, 2021

Voxel-Wise Cross-Volume Representation Learning for 3D Neuron Reconstruction.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Single Neuron Segmentation Using Graph-Based Global Reasoning with Auxiliary Skeleton Loss from 3D Optical Microscope Images.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
3D Conditional Adversarial Learning for Synthesizing Microscopic Neuron Image Using Skeleton-to-Neuron Translation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Region and Object based Panoptic Image Synthesis through Conditional GANs.
CoRR, 2019

Segmenting Neuronal Structure in 3D Optical Microscope Images via Knowledge Distillation with Teacher-Student Network.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Multiscale Kernels for Enhanced U-Shaped Network to Improve 3D Neuron Tracing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Efficient 3D Depthwise and Separable Convolutions with Dilation for Brain Tumor Segmentation.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

2018
Memory and Time Efficient 3D Neuron Morphology Tracing in Large-Scale Images.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018


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