213 citations · 240 across the 9 of their papers we have counts for
7 papers · 1 filter
PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning
Songsong Tian, Lusi Li, Weijun Li +3
Few-Shot Class-Incremental Learning (FSCIL) aims to enable deep neural networks to learn new tasks incrementally from a small number of labeled samples without forgetting previousl…
Deep Learning-based 3D Point Cloud Classification: A Systematic Survey and Outlook
Huang Zhang, Changshuo Wang, Shengwei Tian +4
In recent years, point cloud representation has become one of the research hotspots in the field of computer vision, and has been widely used in many fields, such as autonomous dri…
A Survey on Few-Shot Class-Incremental Learning
Songsong Tian, Lusi Li, Weijun Li +3
Large deep learning models are impressive, but they struggle when real-time data is not available. Few-shot class-incremental learning (FSCIL) poses a significant challenge for dee…
Learning Continuous Face Representation with Explicit Functions
Liping Zhang, Weijun Li, Linjun Sun +5
How to represent a face pattern? While it is presented in a continuous way in our visual system, computers often store and process the face image in a discrete manner with 2D array…
Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss
Cheng Yan, Guansong Pang, Xiao Bai +2
Person Re-IDentification (ReID) aims at re-identifying persons from different viewpoints across multiple cameras. Capturing the fine-grained appearance differences is often the key…
A Local Descriptor with Physiological Characteristic for Finger Vein Recognition
Liping Zhang, Weijun Li, Xin Ning
Local feature descriptors exhibit great superiority in finger vein recognition due to their stability and robustness against local changes in images. However, most of these are met…
Continuous learning of face attribute synthesis
Xin Ning, Shaohui Xu, Xiaoli Dong +3
The generative adversarial network (GAN) exhibits great superiority in the face attribute synthesis task. However, existing methods have very limited effects on the expansion of ne…