Minjing Dong

17

Papers

19

Total Citations

Papers (17)

Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation

Feature Clipping for Uncertainty Calibration

Beyond One-Hot Labels: Semantic Mixing for Model Calibration

Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness

Uncertainty Weighted Gradients for Model Calibration

VSSD: Vision Mamba with Non-Causal State Space Duality

Backdooring Self-Supervised Contrastive Learning by Noisy Alignment

AMD: Autoregressive Motion Diffusion

Random Entangled Tokens for Adversarially Robust Vision Transformer

Adversarial Robustness via Deformable Convolution with Stochasticity

Imitation Learning from Purified Demonstrations

Adversarial Robustness via Random Projection Filters

An Empirical Study of Adder Neural Networks for Object Detection

NeurIPS 2021arXiv

Towards Stable and Robust AdderNets

Handling Long-tailed Feature Distribution in AdderNets

Random Normalization Aggregation for Adversarial Defense

Adversarial Robustness through Random Weight Sampling