Yi Ma

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University of Surrey ∙ University of Illinois at Urbana-Champaign ∙ Tianjin University ∙ berkeley college

Department of Electrical Engineering and Computer Sciences at University of California at Berkeley

Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image

Single-image room layout reconstruction aims to reconstruct the enclosed...
04/16/2021 ∙ by Cheng Yang, et al. ∙ 3 ∙ share

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Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition

Adversarially trained models exhibit a large generalization gap: they ca...
03/17/2021 ∙ by Yaodong Yu, et al. ∙ 8 ∙ share

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Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities

The optimization problems associated with training generative adversaria...
03/07/2021 ∙ by Chaobing Song, et al. ∙ 0 ∙ share

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Incremental Learning via Rate Reduction

Current deep learning architectures suffer from catastrophic forgetting,...
11/30/2020 ∙ by Ziyang Wu, et al. ∙ 0 ∙ share

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Deep Networks from the Principle of Rate Reduction

This work attempts to interpret modern deep (convolutional) networks fro...
10/27/2020 ∙ by Kwan Ho Ryan Chan, et al. ∙ 16 ∙ share

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HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures

We present HoliCity, a city-scale 3D dataset with rich structural inform...
08/07/2020 ∙ by Yichao Zhou, et al. ∙ 6 ∙ share

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Learning Long-term Visual Dynamics with Region Proposal Interaction Networks

Learning long-term dynamics models is the key to understanding physical ...
08/05/2020 ∙ by Haozhi Qi, et al. ∙ 2 ∙ share

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Learning to Parse Wireframes in Images of Man-Made Environments

In this paper, we propose a learning-based approach to the task of autom...
07/15/2020 ∙ by Kun Huang, et al. ∙ 15 ∙ share

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Deep Isometric Learning for Visual Recognition

Initialization, normalization, and skip connections are believed to be t...
06/30/2020 ∙ by Haozhi Qi, et al. ∙ 15 ∙ share

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Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising

In E-commerce, advertising is essential for merchants to reach their tar...
06/29/2020 ∙ by Xiaotian Hao, et al. ∙ 8 ∙ share

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Stochastic Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization

In this paper, we introduce a simplified and unified method for finite-s...
06/18/2020 ∙ by Chaobing Song, et al. ∙ 0 ∙ share

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Learning to Detect 3D Reflection Symmetry for Single-View Reconstruction

3D reconstruction from a single RGB image is a challenging problem in co...
06/17/2020 ∙ by Yichao Zhou, et al. ∙ 0 ∙ share

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Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization

Recent advances have shown that implicit bias of gradient descent on ove...
06/16/2020 ∙ by Chong You, et al. ∙ 6 ∙ share

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Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction

To learn intrinsic low-dimensional structures from high-dimensional data...
06/15/2020 ∙ by Yaodong Yu, et al. ∙ 0 ∙ share

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Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising

Bipartite b-matching is fundamental in algorithm design, and has been wi...
05/09/2020 ∙ by Xiaotian Hao, et al. ∙ 0 ∙ share

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On Deep Learning Solutions for Joint Transmitter and Noncoherent Receiver Design in MU-MIMO Systems

This paper aims to handle the joint transmitter and noncoherent receiver...
04/14/2020 ∙ by Songyan Xue, et al. ∙ 0 ∙ share

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A Modular Neural Network Based Deep Learning Approach for MIMO Signal Detection

In this paper, we reveal that artificial neural network (ANN) assisted m...
04/01/2020 ∙ by Songyan Xue, et al. ∙ 0 ∙ share

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Rethinking Bias-Variance Trade-off for Generalization of Neural Networks

The classical bias-variance trade-off predicts that bias decreases and v...
02/26/2020 ∙ by Zitong Yang, et al. ∙ 0 ∙ share

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KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge

Reinforcement learning agents usually learn from scratch, which requires...
02/18/2020 ∙ by Peng Zhang, et al. ∙ 15 ∙ share

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An Actor-Critic-Based UAV-BSs Deployment Method for Dynamic Environments

In this paper, the real-time deployment of unmanned aerial vehicles (UAV...
02/03/2020 ∙ by Zhiwei Chen, et al. ∙ 0 ∙ share

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NeurVPS: Neural Vanishing Point Scanning via Conic Convolution

We present a simple yet effective end-to-end trainable deep network with...
10/14/2019 ∙ by Yichao Zhou, et al. ∙ 0 ∙ share

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Spectral-based Graph Convolutional Network for Directed Graphs

Graph convolutional networks(GCNs) have become the most popular approach...
07/21/2019 ∙ by Yi Ma, et al. ∙ 0 ∙ share

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Complete Dictionary Learning via ℓ^4-Norm Maximization over the Orthogonal Group

This paper considers the fundamental problem of learning a complete (ort...
06/06/2019 ∙ by Yuexiang Zhai, et al. ∙ 0 ∙ share

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Towards Unified Acceleration of High-Order Algorithms under Hölder Continuity and Uniform Convexity

In this paper, through a very intuitive vanilla proximal method perspec...
06/03/2019 ∙ by Chaobing Song, et al. ∙ 0 ∙ share

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Learning to Reconstruct 3D Manhattan Wireframes from a Single Image

In this paper, we propose a method to obtain a compact and accurate 3D w...
05/17/2019 ∙ by Yichao Zhou, et al. ∙ 0 ∙ share

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End-to-End Wireframe Parsing

We present a conceptually simple yet effective algorithm to detect wiref...
05/08/2019 ∙ by Yichao Zhou, et al. ∙ 0 ∙ share

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Fine-grained Video Categorization with Redundancy Reduction Attention

For fine-grained categorization tasks, videos could serve as a better so...
10/26/2018 ∙ by Chen Zhu, et al. ∙ 8 ∙ share

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TARM: A Turbo-type Algorithm for Affine Rank Minimization

The affine rank minimization (ARM) problem arises in many real-world app...
02/11/2018 ∙ by Zhipeng Xue, et al. ∙ 0 ∙ share

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Symbol-Level Selective Full-Duplex Relaying with Power and Location Optimization

In this paper, a symbol-level selective transmission for full-duplex (FD...
12/20/2017 ∙ by Jiancao Hou, et al. ∙ 0 ∙ share

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Structured Attentions for Visual Question Answering

Visual attention, which assigns weights to image regions according to th...
08/07/2017 ∙ by Chen Zhu, et al. ∙ 0 ∙ share

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Graph Construction with Label Information for Semi-Supervised Learning

In the literature, most existing graph-based semi-supervised learning (S...
07/08/2016 ∙ by Liansheng Zhuang, et al. ∙ 0 ∙ share

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Automatic Layer Separation using Light Field Imaging

We propose a novel approach that jointly removes reflection or transluce...
06/15/2015 ∙ by Qiaosong Wang, et al. ∙ 0 ∙ share

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Robust Face Recognition by Constrained Part-based Alignment

Developing a reliable and practical face recognition system is a long-st...
01/20/2015 ∙ by Yuting Zhang, et al. ∙ 0 ∙ share

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Constructing a Non-Negative Low Rank and Sparse Graph with Data-Adaptive Features

This paper aims at constructing a good graph for discovering intrinsic d...
09/03/2014 ∙ by Liansheng Zhuang, et al. ∙ 0 ∙ share

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PCANet: A Simple Deep Learning Baseline for Image Classification?

In this work, we propose a very simple deep learning network for image c...
04/14/2014 ∙ by Tsung-Han Chan, et al. ∙ 0 ∙ share

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Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment

Single-sample face recognition is one of the most challenging problems i...
02/08/2014 ∙ by Liansheng Zhuang, et al. ∙ 0 ∙ share

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Blind Image Deblurring by Spectral Properties of Convolution Operators

In this paper, we study the problem of recovering a sharp version of a g...
09/10/2012 ∙ by Guangcan Liu, et al. ∙ 0 ∙ share

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Sparsity and Robustness in Face Recognition

This report concerns the use of techniques for sparse signal representat...
11/03/2011 ∙ by John Wright, et al. ∙ 0 ∙ share

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TILT: Transform Invariant Low-rank Textures

In this paper, we show how to efficiently and effectively extract a clas...
12/15/2010 ∙ by Zhengdong Zhang, et al. ∙ 0 ∙ share

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Robust Recovery of Subspace Structures by Low-Rank Representation

In this work we address the subspace recovery problem. Given a set of da...
10/14/2010 ∙ by Guangcan Liu, et al. ∙ 0 ∙ share

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Fast L1-Minimization Algorithms For Robust Face Recognition

L1-minimization refers to finding the minimum L1-norm solution to an und...
07/21/2010 ∙ by Allen Y. Yang, et al. ∙ 0 ∙ share

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Segmentation of Natural Images by Texture and Boundary Compression

We present a novel algorithm for segmentation of natural images that har...
06/18/2010 ∙ by Hossein Mobahi, et al. ∙ 0 ∙ share

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Yi Ma

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