313 citations · 478 across the 12 of their papers we have counts for
10 papers · 1 filter
Learning Audio-Visual embedding for Person Verification in the Wild
Peiwen Sun, Shanshan Zhang, Zishan Liu +4
It has already been observed that audio-visual embedding is more robust than uni-modality embedding for person verification. Here, we proposed a novel audio-visual strategy that co…
RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-training
Luya Wang, Feng Liang, Yangguang Li +3
Recently, self-supervised vision transformers have attracted unprecedented attention for their impressive representation learning ability. However, the dominant method, contrastive…
Deep Sketch-Based Modeling: Tips and Tricks
Yue Zhong, Yulia Gryaditskaya, Honggang Zhang +1
Deep image-based modeling received lots of attention in recent years, yet the parallel problem of sketch-based modeling has only been briefly studied, often as a potential applicat…
Self-Supervised Convolutional Subspace Clustering Network
Junjian Zhang, Chun-Guang Li, Chong You +4
Subspace clustering methods based on data self-expression have become very popular for learning from data that lie in a union of low-dimensional linear subspaces. However, the appl…
Deep Attentive Tracking via Reciprocative Learning
Shi Pu, Yibing Song, Chao Ma +2
Visual attention, derived from cognitive neuroscience, facilitates human perception on the most pertinent subset of the sensory data. Recently, significant efforts have been made t…
Universal Perceptual Grouping
Ke Li, Kaiyue Pang, Jifei Song +4
In this work we aim to develop a universal sketch grouper. That is, a grouper that can be applied to sketches of any category in any domain to group constituent strokes/segments in…
Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification
Jianlou Si, Honggang Zhang, Chun-Guang Li +4
Typical person re-identification (ReID) methods usually describe each pedestrian with a single feature vector and match them in a task-specific metric space. However, the methods b…
Residual Attention Network for Image Classification
Fei Wang, Mengqing Jiang, Chen Qian +5
In this work, we propose "Residual Attention Network", a convolutional neural network using attention mechanism which can incorporate with state-of-art feed forward network archite…
Graph Regularized Non-negative Matrix Factorization By Maximizing Correntropy
Le Li, Jianjun Yang, Kaili Zhao +3
Non-negative matrix factorization (NMF) has proved effective in many clustering and classification tasks. The classic ways to measure the errors between the original and the recons…
Adaptive Learning of Region-based pLSA Model for Total Scene Annotation
Yuzhu Zhou, Le Li, Honggang Zhang
In this paper, we present a region-based pLSA model to accomplish the task of total scene annotation. To be more specific, we not only properly generate a list of tags for each ima…