Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Leveraging Adaptive Implicit Presentation Mapping for Ultra High-Resolution Image Segmentation
Published in arXiv, 2022
This paper proposes a novel Adaptive Implicit Representation Mapping (AIRM) approach for ultra-high-resolution image segmentation, addressing limitations in current CNN-based IRM methods. Our method includes an Affinity Empowered Encoder (AEE) with transformer architecture to capture long-distance semantic information and an Adaptive Implicit Representation Mapping Function (AIRMF) that dynamically translates pixel-wise features while preserving global context.
Crossmodal few-shot 3d point cloud semantic segmentation
Published in ACM Multimedia, 2022
This paper introduces a cross-modal few-shot approach for 3D point cloud segmentation that uses labeled 2D images instead of 3D annotations. By converting 2D images to 3D format and employing a co-embedding network, the method achieves effective segmentation through prototype-based cosine similarity, performing competitively on benchmarks with minimal labeled 2D support.
Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network
Published in AAAI, 2023
This paper presents a multi-layer transformer network for few-shot 3D point cloud semantic segmentation, addressing limitations in computational complexity and fine-grained relationship learning in existing methods. By aggregating query point cloud features with class-specific support features at multiple scales and avoiding pooling, our approach fully utilizes pixel-level support features.
Crossmodal Few-shot 3D Point Cloud Semantic Segmentation via View Synthesis
Published in ACM Multimedia, 2024
This paper introduces a cross-modal few-shot approach for 3D point cloud segmentation, using multi-view synthesis with color and depth inpainting to address occlusions and reduce reliance on 3D annotations. A Co-embedding Network aligns features between synthesized views and original 3D data, while a weighted prototype network enhances segmentation performance.
DPSeg: Dual-Prompt Cost Volume Learning for Open-Vocabulary Semantic Segmentation
Published in CVPR, 2025
This paper presents DPSeg, a dual-prompt framework for open-vocabulary semantic segmentation that integrates both visual and textual prompts to generate spatial-semantic cost volumes. A multi-scale cost volume-guided decoder and a semantic-guided prompt refinement strategy are introduced to enhance spatial detail and alignment. The method significantly improves segmentation accuracy across diverse benchmarks by effectively mitigating the domain gap between image and text embeddings.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.