Publications
2025
-
Boosting Adversarial Transferability with a Generative Model PerspectivearXiv preprint, 2025CVPR Workshop on Generative Models for Computer Vision (GMCV), 2025
-
Robust 3D Shape Reconstruction in Zero-Shot from a Single Image in the WildIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
2024
-
Prompt-Driven Contrastive Learning for Transferable Adversarial AttacksEuropean Conference on Computer Vision (ECCV), 2024Oral Presentation (top 2.3%)
-
Object-Centric Domain Randomization for 3D Shape Reconstruction in the WildarXiv preprint, 2024CVPR Workshop on Foundation Models (WFM), 2024
-
FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial AttacksAssociation for the Advancement of Artificial Intelligence (AAAI), 2024ICCV Workshop on Adversarial Robustness In the Real World (AROW), 2023
2023
-
PromptStyler: Prompt-driven Style Generation for Source-free Domain GeneralizationIEEE/CVF International Conference on Computer Vision (ICCV), 2023
-
ACTIVE: Towards Highly Transferable 3D Physical Camouflage for Universal and Robust Vehicle EvasionIEEE/CVF International Conference on Computer Vision (ICCV), 2023
-
Synthetic Image Generation for Deep Neural NetworksNVIDIA GPU Technology Conference (GTC), 2023Spotlight Presentation
-
Simulation of Physical Adversarial Attacks on Vehicle Detection ModelsInternational Conference on Control, Automation and Systems (ICCAS), 2023
2022
-
DTA: Physical Camouflage Attacks Using Differentiable Transformation NetworkIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
2021
-
Camouflaged Adversarial Attack on Object DetectorInternational Conference on Control, Automation and Systems (ICCAS), 2021
2020
-
D-GEN: A Deep Learning Data Generation Framework for Artificial IntelligenceNVIDIA GPU Technology Conference (GTC), 2020
-
Training Deep Neural Networks with Synthetic Data for Off-Road Vehicle DetectionInternational Conference on Control, Automation and Systems (ICCAS), 2020
-
Improving Instance Segmentation using Synthetic Data with Artificial DistractorsInternational Conference on Control, Automation and Systems (ICCAS), 2020
-
Adversarial training on joint energy based model for robust classification and out-of-distribution detectionInternational Conference on Control, Automation and Systems (ICCAS), 2020
-
Applying FastPhotoStyle to synthetic data for military vehicle detectionInternational Conference on Control, Automation and Systems (ICCAS), 2020
2019
-
Accelerating Distributed Deep Learning Inference on multi-GPU with Hadoop-SparkNVIDIA GPU Technology Conference (GTC), 2019Oral Presentation
-
Scalable Distributed Deep Learning Inference on multi-GPU with Hadoop-SparkNVIDIA GPU Technology Conference (GTC), 2019
-
Optimal Distributed Inference on Multi-GPU Processing SystemNVIDIA GPU Technology Conference (GTC), 2019