Multi-layer noise reshaping and perceptual optimization for effective adversarial attack of images.
Appl. Intell., April, 2023
HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions.
IROS, 2023
Removing Adversarial Noise via Low-Rank Completion of High-Sensitivity Points.
IEEE Trans. Image Process., 2021
Consistency-Sensitivity Guided Ensemble Black-Box Adversarial Attacks in Low-Dimensional Spaces.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Spatial Assembly Networks for Image Representation Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Adversarial Dual Network Learning With Randomized Image Transform for Restoring Attacked Images.
IEEE Access, 2020
Ensemble Generative Cleaning With Feedback Loops for Defending Adversarial Attacks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Snowball: Iterative Model Evolution and Confident Sample Discovery for Semi-Supervised Learning on Very Small Labeled Datasets.
CoRR, 2019
Object detection from dynamic scene using joint background modeling and fast deep learning classification.
J. Vis. Commun. Image Represent., 2018
Fast Deep Neural Networks With Knowledge Guided Training and Predicted Regions of Interests for Real-Time Video Object Detection.
IEEE Access, 2018
Fast human-animal detection from highly cluttered camera-trap images using joint background modeling and deep learning classification.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017