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20172026
most citedTransferable Clean-Label Poisoning Attacks on Deep Neural Nets

137 citations · 255 across the 10 of their papers we have counts for

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cs.CV2026

Zero-Forgetting CISS via Dual-Phase Cognitive Cascades

Yuquan Lu, Yifu Guo, Zishan Xu +6

Continual semantic segmentation (CSS) is a cornerstone task in computer vision that enables a large number of downstream applications, but faces the catastrophic forgetting challen…

cs.CV20223 cited

Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations

Amin Ghiasi, Hamid Kazemi, Steven Reich +3

Existing techniques for model inversion typically rely on hard-to-tune regularizers, such as total variation or feature regularization, which must be individually calibrated for ea…

cs.CV2021

Understanding the Role of Self-Supervised Learning in Out-of-Distribution Detection Task

Jiuhai Chen, Chen Zhu, Bin Dai

Self-supervised learning (SSL) has achieved great success in a variety of computer vision tasks. However, the mechanism of how SSL works in these tasks remains a mystery. In this p…

cs.CV202123 cited

The Intrinsic Dimension of Images and Its Impact on Learning

Phillip Pope, Chen Zhu, Ahmed Abdelkader +2

It is widely believed that natural image data exhibits low-dimensional structure despite the high dimensionality of conventional pixel representations. This idea underlies a common…

cs.CV2020

Large-Scale Adversarial Training for Vision-and-Language Representation Learning

Zhe Gan, Yen-Chun Chen, Linjie Li +3

We present VILLA, the first known effort on large-scale adversarial training for vision-and-language (V+L) representation learning. VILLA consists of two training stages: (i) task-…

cs.CV2019

Learning from Noisy Anchors for One-stage Object Detection

Hengduo Li, Zuxuan Wu, Chen Zhu +3

State-of-the-art object detectors rely on regressing and classifying an extensive list of possible anchors, which are divided into positive and negative samples based on their inte…