42 citations · 214 across the 65 of their papers we have counts for
11 papers · 1 filter
Exploring Category-correlated Feature for Few-shot Image Classification
Jing Xu, Xinglin Pan, Xu Luo +2
Few-shot classification aims to adapt classifiers to novel classes with a few training samples. However, the insufficiency of training data may cause a biased estimation of feature…
An Informative Tracking Benchmark
Xin Li, Qiao Liu, Wenjie Pei +4
Along with the rapid progress of visual tracking, existing benchmarks become less informative due to redundancy of samples and weak discrimination between current trackers, making…
U2-Former: A Nested U-shaped Transformer for Image Restoration
Haobo Ji, Xin Feng, Wenjie Pei +2
While Transformer has achieved remarkable performance in various high-level vision tasks, it is still challenging to exploit the full potential of Transformer in image restoration.…
Label-Aware Distribution Calibration for Long-tailed Classification
Chaozheng Wang, Shuzheng Gao, Cuiyun Gao +4
Real-world data usually present long-tailed distributions. Training on imbalanced data tends to render neural networks perform well on head classes while much worse on tail classes…
Pedestrian Detection by Exemplar-Guided Contrastive Learning
Zebin Lin, Wenjie Pei, Fanglin Chen +2
Typical methods for pedestrian detection focus on either tackling mutual occlusions between crowded pedestrians, or dealing with the various scales of pedestrians. Detecting pedest…
Stepwise-Refining Speech Separation Network via Fine-Grained Encoding in High-order Latent Domain
Zengwei Yao, Wenjie Pei, Fanglin Chen +2
The crux of single-channel speech separation is how to encode the mixture of signals into such a latent embedding space that the signals from different speakers can be precisely se…
Generative Memory-Guided Semantic Reasoning Model for Image Inpainting
Xin Feng, Wenjie Pei, Fengjun Li +3
Most existing methods for image inpainting focus on learning the intra-image priors from the known regions of the current input image to infer the content of the corrupted regions…
Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders
Jing Li, Di Kang, Wenjie Pei +4
Generating conversational gestures from speech audio is challenging due to the inherent one-to-many mapping between audio and body motions. Conventional CNNs/RNNs assume one-to-one…
Saliency-Associated Object Tracking
Zikun Zhou, Wenjie Pei, Xin Li +3
Most existing trackers based on deep learning perform tracking in a holistic strategy, which aims to learn deep representations of the whole target for localizing the target. It is…
Self-Supervised Tracking via Target-Aware Data Synthesis
Xin Li, Wenjie Pei, Yaowei Wang +3
While deep-learning based tracking methods have achieved substantial progress, they entail large-scale and high-quality annotated data for sufficient training. To eliminate expensi…
SiamCorners: Siamese Corner Networks for Visual Tracking
Kai Yang, Zhenyu He, Wenjie Pei +4
The current Siamese network based on region proposal network (RPN) has attracted great attention in visual tracking due to its excellent accuracy and high efficiency. However, the…