Cheng Deng

13

Papers

10

Total Citations

Papers (13)

Unveiling the Unknown: Unleashing the Power of Unknown to Known in Open-Set Source-Free Domain Adaptation

Reasoning Mamba: Hypergraph-Guided Region Relation Calculating for Weakly Supervised Affordance Grounding

Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels

Percept, Memory, and Imagine: World Feature Simulating for Open-Domain Unknown Object Detection

Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning

A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability

Robust Noisy Correspondence Learning with Equivariant Similarity Consistency

Long-Tail Class Incremental Learning via Independent Sub-prototype Construction

DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Retrieval Across Any Domains via Large-scale Pre-trained Model

VGMamba: Attribute-to-Location Clue Reasoning for Quantity-Agnostic 3D Visual Grounding

Vision-Language Interactive Relation Mining for Open-Vocabulary Scene Graph Generation

Energy vs. Noise: Towards Robust Temporal Action Localization in Open-World