9 citations · 31 across the 16 of their papers we have counts for
16 papers
SkeletonAgent: An Agentic Interaction Framework for Skeleton-based Action Recognition
Hongda Liu, Yunfan Liu, Changlu Wang +2
Recent advances in skeleton-based action recognition increasingly leverage semantic priors from Large Language Models (LLMs) to enrich skeletal representations. However, the LLM is…
Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition
Hongda Liu, Yunfan Liu, Min Ren +3
In skeleton-based action recognition, a key challenge is distinguishing between actions with similar trajectories of joints due to the lack of image-level details in skeletal repre…
Artificial Immune System of Secure Face Recognition Against Adversarial Attacks
Min Ren, Yunlong Wang, Yuhao Zhu +4
Insect production for food and feed presents a promising supplement to ensure food safety and address the adverse impacts of agriculture on climate and environment in the future. H…
Balanced Representation Learning for Long-tailed Skeleton-based Action Recognition
Hongda Liu, Yunlong Wang, Min Ren +4
Skeleton-based action recognition has recently made significant progress. However, data imbalance is still a great challenge in real-world scenarios. The performance of current act…
Multiscale Dynamic Graph Representation for Biometric Recognition with Occlusions
Min Ren, Yunlong Wang, Yuhao Zhu +2
Occlusion is a common problem with biometric recognition in the wild. The generalization ability of CNNs greatly decreases due to the adverse effects of various occlusions. To this…
Learning Explicit Contact for Implicit Reconstruction of Hand-held Objects from Monocular Images
Junxing Hu, Hongwen Zhang, Zerui Chen +4
Reconstructing hand-held objects from monocular RGB images is an appealing yet challenging task. In this task, contacts between hands and objects provide important cues for recover…
CASIA-Iris-Africa: A Large-scale African Iris Image Database
Jawad Muhammad, Yunlong Wang, Junxing Hu +2
Iris biometrics is a phenotypic biometric trait that has proven to be agnostic to human natural physiological changes. Research on iris biometrics has progressed tremendously, part…
Perturbation Inactivation Based Adversarial Defense for Face Recognition
Min Ren, Yuhao Zhu, Yunlong Wang +1
Deep learning-based face recognition models are vulnerable to adversarial attacks. To curb these attacks, most defense methods aim to improve the robustness of recognition models a…
Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring
Zhengquan Luo, Yunlong Wang, Zilei Wang +2
Attributes skew hinders the current federated learning (FL) frameworks from consistent optimization directions among the clients, which inevitably leads to performance reduction an…
Toward Accurate and Reliable Iris Segmentation Using Uncertainty Learning
Jianze Wei, Huaibo Huang, Muyi Sun +4
Iris segmentation is a deterministic part of the iris recognition system. Unreliable segmentation of iris regions especially the limbic area is still the bottleneck problem, which…
An End-to-End Autofocus Camera for Iris on the Move
Leyuan Wang, Kunbo Zhang, Yunlong Wang +1
For distant iris recognition, a long focal length lens is generally used to ensure the resolution ofiris images, which reduces the depth of field and leads to potential defocus blu…
CASIA-Face-Africa: A Large-scale African Face Image Database
Jawad Muhammad, Yunlong Wang, Caiyong Wang +2
Face recognition is a popular and well-studied area with wide applications in our society. However, racial bias had been proven to be inherent in most State Of The Art (SOTA) face…
All-in-Focus Iris Camera With a Great Capture Volume
Kunbo Zhang, Zhenteng Shen, Yunlong Wang +1
Imaging volume of an iris recognition system has been restricting the throughput and cooperation convenience in biometric applications. Numerous improvement trials are still imprac…
Recognition Oriented Iris Image Quality Assessment in the Feature Space
Leyuan Wang, Kunbo Zhang, Min Ren +2
A large portion of iris images captured in real world scenarios are poor quality due to the uncontrolled environment and the non-cooperative subject. To ensure that the recognition…
Alignment Free and Distortion Robust Iris Recognition
Min Ren, Caiyong Wang, Yunlong Wang +2
Iris recognition is a reliable personal identification method but there is still much room to improve its accuracy especially in less-constrained situations. For example, free move…
Dynamic Graph Representation for Partially Occluded Biometrics
Min Ren, Yunlong Wang, Zhenan Sun +1
The generalization ability of Convolutional neural networks (CNNs) for biometrics drops greatly due to the adverse effects of various occlusions. To this end, we propose a novel un…