5 citations · 5 across the 2 of their papers we have counts for
9 papers
Confidence-guided Adaptive Gate and Dual Differential Enhancement for Video Salient Object Detection
Peijia Chen, Jianhuang Lai, Guangcong Wang +1
Video salient object detection (VSOD) aims to locate and segment the most attractive object by exploiting both spatial cues and temporal cues hidden in video sequences. However, sp…
Solving Inefficiency of Self-supervised Representation Learning
Guangrun Wang, Keze Wang, Guangcong Wang +2
Self-supervised learning (especially contrastive learning) has attracted great interest due to its huge potential in learning discriminative representations in an unsupervised mann…
Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition
Guangrun Wang, Liang Lin, Rongcong Chen +2
Current state-of-the-art visual recognition systems usually rely on the following pipeline: (a) pretraining a neural network on a large-scale dataset (e.g., ImageNet) and (b) finet…
Learnable Parameter Similarity
Guangcong Wang, Jianhuang Lai, Wenqi Liang +1
Most of the existing approaches focus on specific visual tasks while ignoring the relations between them. Estimating task relation sheds light on the learning of high-order semanti…
Weakly Supervised Person Re-ID: Differentiable Graphical Learning and A New Benchmark
Guangrun Wang, Guangcong Wang, Xujie Zhang +3
Person re-identification (Re-ID) benefits greatly from the accurate annotations of existing datasets (e.g., CUHK03 [1] and Market-1501 [2]), which are quite expensive because each…
Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification
Guangcong Wang, Jianhuang Lai, Zhenyu Xie +1
Modeling the underlying person structure for person re-identification (re-ID) is difficult due to diverse deformable poses, changeable camera views and imperfect person detectors.…