activity
20192026
most cited3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention

9 citations · 16 across the 32 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.CV2025

SemanticStitch: Enhancing Image Coherence through Foreground-Aware Seam Carving

Ji-Ping Jin, Chen-Bin Feng, Rui Fan +1

Image stitching often faces challenges due to varying capture angles, positional differences, and object movements, leading to misalignments and visual discrepancies. Traditional s…

cs.CV2025

MobileGeo: Exploring Hierarchical Knowledge Distillation for Resource-Efficient Cross-view Drone Geo-Localization

Jian Sun, Kangdao Liu, Chi Zhang +4

Cross-view geo-localization (CVGL) plays a vital role in drone-based multimedia applications, enabling precise localization by matching drone-captured aerial images against geo-tag…

stat.ML2025

Online Conformal Selection with Accept-to-Reject Changes

Kangdao Liu, Huajun Xi, Chi-Man Vong +1

Selecting a subset of promising candidates from a large pool is crucial across various scientific and real-world applications. Conformal selection offers a distribution-free and mo…

cs.CV2025

3D Hand Mesh-Guided AI-Generated Malformed Hand Refinement with Hand Pose Transformation via Diffusion Model

Chen-Bin Feng, Kangdao Liu, Jian Sun +3

The malformed hands in the AI-generated images seriously affect the authenticity of the images. To refine malformed hands, existing depth-based approaches use a hand depth estimato…

cs.CL2025

Beyond Completion: A Foundation Model for General Knowledge Graph Reasoning

Yin Hua, Zhiqiang Liu, Mingyang Chen +6

In natural language processing (NLP) and computer vision (CV), the successful application of foundation models across diverse tasks has demonstrated their remarkable potential. How…

cs.LG2025

Exploiting the Potential Supervision Information of Clean Samples in Partial Label Learning

Guangtai Wang, Chi-Man Vong, Jintao Huang

Diminishing the impact of false-positive labels is critical for conducting disambiguation in partial label learning. However, the existing disambiguation strategies mainly focus on…