312 citations · 1.6k across the 26 of their papers we have counts for
26 papers
Rethinking Transferable Adversarial Attacks on Point Clouds from a Compact Subspace Perspective
Keke Tang, Xianheng Liu, Weilong Peng +5
Transferable adversarial attacks on point clouds remain challenging, as existing methods often rely on model-specific gradients or heuristics that limit generalization to unseen ar…
Tensor Q-Rank: New Data Dependent Definition of Tensor Rank
Hao Kong, Canyi Lu, Zhouchen Lin
Recently, the \textit{Tensor Nuclear Norm~(TNN)} regularization based on t-SVD has been widely used in various low tubal-rank tensor recovery tasks. However, these models usually r…
Exact Recovery of Tensor Robust Principal Component Analysis under Linear Transforms
Canyi Lu, Pan Zhou
This work studies the Tensor Robust Principal Component Analysis (TRPCA) problem, which aims to exactly recover the low-rank and sparse components from their sum. Our model is moti…
Tensor-Tensor Product Toolbox
Canyi Lu
The tensor-tensor product (t-product) [M. E. Kilmer and C. D. Martin, 2011] is a natural generalization of matrix multiplication. Based on t-product, many operations on matrix can…
Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements
Canyi Lu, Jiashi Feng, Zhouchen Lin +1
The recent proposed Tensor Nuclear Norm (TNN) [Lu et al., 2016; 2018a] is an interesting convex penalty induced by the tensor SVD [Kilmer and Martin, 2011]. It plays a similar role…
Subspace Clustering by Block Diagonal Representation
Canyi Lu, Jiashi Feng, Zhouchen Lin +2
This paper studies the subspace clustering problem. Given some data points approximately drawn from a union of subspaces, the goal is to group these data points into their underlyi…