41 citations · 60 across the 8 of their papers we have counts for
28 papers
Generative Active Learning for Image Synthesis Personalization
Xulu Zhang, Wengyu Zhang, Xiao-Yong Wei +4
This paper presents a pilot study that explores the application of active learning, traditionally studied in the context of discriminative models, to generative models. We specific…
Robust Depth Enhancement via Polarization Prompt Fusion Tuning
Kei Ikemura, Yiming Huang, Felix Heide +3
Existing depth sensors are imperfect and may provide inaccurate depth values in challenging scenarios, such as in the presence of transparent or reflective objects. In this work, w…
MemoNav: Working Memory Model for Visual Navigation
Hongxin Li, Zeyu Wang, Xu Yang +3
Image-goal navigation is a challenging task that requires an agent to navigate to a goal indicated by an image in unfamiliar environments. Existing methods utilizing diverse scene…
Enhancing Visual Continual Learning with Language-Guided Supervision
Bolin Ni, Hongbo Zhao, Chenghao Zhang +4
Continual learning (CL) aims to empower models to learn new tasks without forgetting previously acquired knowledge. Most prior works concentrate on the techniques of architectures,…
Pareto-based Multi-Objective Recommender System with Forgetting Curve
Jipeng Jin, Zhaoxiang Zhang, Zhiheng Li +4
Recommender systems with cascading architecture play an increasingly significant role in online recommendation platforms, where the approach to dealing with negative feedback is a…
MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection
Yuxue Yang, Lue Fan, Zhaoxiang Zhang
Label-efficient LiDAR-based 3D object detection is currently dominated by weakly/semi-supervised methods. Instead of exclusively following one of them, we propose MixSup, a more pr…