31 citations · 47 across the 12 of their papers we have counts for
13 papers
MuseAgent-1: Interactive Grounded Multimodal Understanding of Music Scores and Performance Audio
Qihao Zhao, Yunqi Cao, Yangyu Huang +4
Despite recent advances in multimodal large language models (MLLMs), their ability to understand and interact with music remains limited. Music understanding requires grounded reas…
RISE: Enhancing VLM Image Annotation with Self-Supervised Reasoning
Suhang Hu, Wei Hu, Yuhang Su +1
Vision-Language Models (VLMs) struggle with complex image annotation tasks, such as emotion classification and context-driven object detection, which demand sophisticated reasoning…
LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content
Qihao Zhao, Yalun Dai, Hao Li +3
Long-tail recognition is challenging because it requires the model to learn good representations from tail categories and address imbalances across all categories. In this paper, w…
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition
Qihao Zhao, Chen Jiang, Wei Hu +2
Recently, multi-expert methods have led to significant improvements in long-tail recognition (LTR). We summarize two aspects that need further enhancement to contribute to LTR boos…
MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer
Qihao Zhao, Yangyu Huang, Wei Hu +2
The recently proposed data augmentation TransMix employs attention labels to help visual transformers (ViT) achieve better robustness and performance. However, TransMix is deficien…
SAD: A Large-scale Dataset towards Airport Detection in Synthetic Aperture Radar Images
Daochang Wang, Fan Zhang, Fei Ma +3
Airports have an important role in both military and civilian domains. The synthetic aperture radar (SAR) based airport detection has received increasing attention in recent years.…
P-DIFF: Learning Classifier with Noisy Labels based on Probability Difference Distributions
Wei Hu, QiHao Zhao, Yangyu Huang +1
Learning deep neural network (DNN) classifier with noisy labels is a challenging task because the DNN can easily over-fit on these noisy labels due to its high capability. In this…
Noise-Tolerant Paradigm for Training Face Recognition CNNs
Wei Hu, Yangyu Huang, Fan Zhang +1
Benefit from large-scale training datasets, deep Convolutional Neural Networks(CNNs) have achieved impressive results in face recognition(FR). However, tremendous scale of datasets…
TreeSegNet: Adaptive Tree CNNs for Subdecimeter Aerial Image Segmentation
Kai Yue, Lei Yang, Ruirui Li +3
For the task of subdecimeter aerial imagery segmentation, fine-grained semantic segmentation results are usually difficult to obtain because of complex remote sensing content and o…
SeqFace: Make full use of sequence information for face recognition
Wei Hu, Yangyu Huang, Fan Zhang +3
Deep convolutional neural networks (CNNs) have greatly improved the Face Recognition (FR) performance in recent years. Almost all CNNs in FR are trained on the carefully labeled da…
DeepUNet: A Deep Fully Convolutional Network for Pixel-level Sea-Land Segmentation
Ruirui Li, Wenjie Liu, Lei Yang +4
Semantic segmentation is a fundamental research in remote sensing image processing. Because of the complex maritime environment, the sea-land segmentation is a challenging task. Al…
A GPU Based Memory Optimized Parallel Method For FFT Implementation
Fan Zhang, Chen Hu, Qiang Yin +1
FFT (fast Fourier transform) plays a very important role in many fields, such as digital signal processing, digital image processing and so on. However, in application, FFT becomes…
Real-time Decolorization using Dominant Colors
Wei Hu, Wei Li, Fan Zhang +1
Decolorization is the process to convert a color image or video to its grayscale version, and it has received great attention in recent years. An ideal decolorization algorithm sho…